publications.bib

@inproceedings{mohammadi:gvdb:2025,
  author       = {Amir Reza Mohammadi and
                  Michael M. M{\"{u}}ller and
                  Andreas Peintner and
                  Beatriz Barroso Gstrein and
                  Eva Zangerle and
                  G{\"{u}}nther Specht},
  editor       = {Meike Klettke and
                  Tanja Auge},
  title        = {Quantitative Assessment of {GNN} Counterfactual Explanation Robustness
                  and Reproducibility under Adversarial Influence},
  booktitle    = {Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg,
                  Germany, September 29-October 01, 2025},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {4118},
  pages        = {23--30},
  publisher    = {CEUR-WS.org},
  year         = {2025},
  url          = {https://ceur-ws.org/Vol-4118/paper4.pdf},
}

@inproceedings{mueller:gvdb:2025,
  author       = {Michael M. M{\"{u}}ller and
                  Amir Reza Mohammadi and
                  Andreas Peintner and
                  Beatriz Barroso Gstrein and
                  Eva Zangerle and
                  G{\"{u}}nther Specht},
  editor       = {Meike Klettke and
                  Tanja Auge},
  title        = {Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating
                  Conversational Recommender Systems},
  booktitle    = {Proceedings of the 36th GI-Workshop Grundlagen von Datenbanken, Regensburg,
                  Germany, September 29-October 01, 2025},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {4118},
  pages        = {84--89},
  publisher    = {CEUR-WS.org},
  year         = {2025},
  url          = {https://ceur-ws.org/Vol-4118/paper13.pdf},
}

@inproceedings{zangerle:pan:2025,
  author       = {Eva Zangerle and
                  Maximilian Mayerl and
                  Martin Potthast and
                  Benno Stein},
  title        = {Overview of the Multi-Author Writing Style Analysis Task at {PAN}
                  2025},
  booktitle    = {Working Notes of the Conference and Labs of the Evaluation Forum {(CLEF}
                  2025), Madrid, Spain, 9-12 September, 2025},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {4038},
  pages        = {3568--3574},
  publisher    = {CEUR-WS.org},
  year         = {2025},
  url          = {https://ceur-ws.org/Vol-4038},
}


@InProceedings{bevendorff:clef:2025,
  address =                  {Berlin Heidelberg New York},
  author =                   {Janek Bevendorff and Daryna Dementieva and Maik Fr{\"o}be and Bela Gipp and Andr{\'e} Greiner-Petter and Jussi Karlgren and Maximilian Mayerl and Preslav Nakov and Alexander Panchenko and Martin Potthast and Artem Shelmanov and Efstathios Stamatatos and Benno Stein and Yuxia Wang and Matti Wiegmann and Eva Zangerle},
  booktitle =                {Experimental IR Meets Multilinguality, Multimodality, and Interaction. Proceedings of the Sixteenth International Conference of the CLEF Association (CLEF 2025)},
  editor =                   {Jorge Carrillo-de-Albornoz and Julio Gonzalo and Laura Plaza and Alba Garc{\'i}a Seco Herrera and Josiane Mothe and Florina Piroi and Paolo Rosso and Damiano Spina and Guglielmo Faggioli and Nicola Ferro},
  month =                    sep,
  publisher =                {Springer},
  series =                   {Lecture Notes in Computer Science},
  site =                     {Madrid, Spain},
  title =                    {{Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection}},
  year =                     2025
}

@inproceedings{zangerle:recsys:2025,
author = {Zangerle, Eva and Said, Alan and Bauer, Christine},
title = {Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)},
year = {2025},
isbn = {9798400713644},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3705328.3747998},
doi = {10.1145/3705328.3747998},
abstract = {This workshop challenges the machine learning-centric focus of modern recommender systems research by reconnecting the field with its interdisciplinary origins and exploring the non-algorithmic dimensions that are crucial to effective recommendation. It fosters a space for reflective, critical, and creative discussions on recommender systems that embrace human values, user experiences, and societal impact. The workshop emphasizes methodological diversity and invites contributions from psychology, human-computer interaction, ethics, design, and other disciplines.},
booktitle = {Proceedings of the Nineteenth ACM Conference on Recommender Systems},
pages = {1360–1361},
numpages = {2},
keywords = {recommender systems, interdisciplinary, personalized systems, non-algorithmic dimensions},
location = {
},
series = {RecSys '25}
}

@inproceedings{mohammadi:recsys:2025,
author = {Mohammadi, Amir Reza and Peintner, Andreas and M\"{u}ller, Michael and Zangerle, Eva},
title = {Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems},
year = {2025},
isbn = {9798400713644},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3705328.3748028},
doi = {10.1145/3705328.3748028},
abstract = {Explainability in recommender systems (RS) remains a pivotal yet challenging research frontier. Among state-of-the-art techniques, counterfactual explanations stand out for their effectiveness, as they show how small changes to input data can alter recommendations, providing actionable insights that build user trust and enhance transparency. Despite their growing prominence, the evaluation of counterfactual explanations in RS is far from standardized. Specifically, existing metrics show inconsistency since they are affected by variations in the performance of the underlying recommenders. Hence, we critically examine the evaluation of counterfactual explainers through consistency as the key principle of effective evaluation. Through extensive experiments, we assess how going beyond top-1 recommendation and incorporating top-k recommendations impacts the consistency of existing evaluation metrics. Our findings reveal factors that impact the consistency of existing evaluation metrics and offer a step toward effectively mitigating the inconsistency problem in counterfactual explanation evaluation.},
booktitle = {Proceedings of the Nineteenth ACM Conference on Recommender Systems},
pages = {515–520},
numpages = {6},
keywords = {Recommender Systems, Counterfactual Explanation, Evaluation},
location = {
},
series = {RecSys '25}
}

@article{peintner:tismir:2025,
 abstract = {Music emotion recognition (MER) seeks to understand the complex emotional landscapes elicited by music, acknowledging music\’s profound social and psychological roles beyond traditional tasks such as genre classification or content similarity. MER relies heavily on high‑quality emotional annotations, which serve as the foundation for training models to recognize emotions. However, collecting these annotations is both complex and costly, leading to limited availability of large‑scale datasets for MER. Recent efforts in MER for automatically extracting emotion have focused on learning track representations in a supervised manner. However, these approaches mainly use simplified emotion models due to limited datasets or a lack of necessity for sophisticated emotion models and ignore hidden inter‑track relations, which are beneficial in a semi‑supervised learning setting. This paper proposes a novel approach to MER by constructing a multi‑relational graph that encapsulates different facets of music. We leverage graph neural networks to model intricate inter‑track relationships and capture structurally induced representations from user data, such as listening histories, genres, and tags. Our model, the semi‑supervised multi‑relational graph neural network for emotion recognition (SRGNN‑Emo), innovates by combining graph‑based modeling with semi‑supervised learning, using rich user data to extract nuanced emotional profiles from music tracks. Through extensive experimentation, SRGNN‑Emo demonstrates significant improvements in R2 and root mean squared error metrics for predicting the intensity of nine continuous emotions (Geneva Emotional Music Scale), demonstrating its superior capability in capturing and predicting complex emotional expressions in music.},
 author = {Peintner, Andreas and Moscati, Marta and Kinoshita, Yu and Vogl, Richard and Knees, Peter and Schedl, Markus and Strauss, Hannah and Zentner, Marcel and Zangerle, Eva},
 doi = {10.5334/tismir.235},
 journal = {Transactions of the International Society for Music Information Retrieval},
 keyword = {en_US},
 month = {Jun},
 title = {Nuanced Music Emotion Recognition via a Semi-Supervised Multi-Relational Graph Neural Network},
 year = {2025}
}


@inproceedings{peintner:www:2025,
author = {Peintner, Andreas and Mohammadi, Amir Reza and M\"{u}ller, Michael and Zangerle, Eva},
title = {Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation},
year = {2025},
isbn = {9798400712746},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3696410.3714896},
doi = {10.1145/3696410.3714896},
abstract = {In sequential recommendation scenarios, user intent is a key driver of consumption behavior. However, consumption intents are usually latent and hence, difficult to leverage for recommender systems. Additionally, intents can be of repeated nature (e.g. yearly shopping for christmas gifts or buying a new phone), which has not been exploited by previous approaches. To navigate these impediments we propose the HyperHawkes model which models user sessions via hypergraphs and extracts user intents via contrastive clustering. We use Hawkes Processes to model the temporal dynamics of intents, namely repeated consumption patterns and long-term interests of users. For short-term interest adaption, which is more fine-grained than intent-level modeling, we use a multi-level attention mixture network and fuse long-term and short-term signals. We use the generalized expectation-maximization (EM) framework for training the model by alternating between intent representation learning and optimizing parameters of the long- and short-term modules. Extensive experiments on four real-world datasets from different domains show that HyperHawkes significantly outperforms existing state-of-the-art methods.},
booktitle = {Proceedings of the ACM on Web Conference 2025},
pages = {3809–3818},
numpages = {10},
keywords = {graph neural network, hypergraph, intent, recommender systems, sequential recommendation},
location = {Sydney NSW, Australia},
series = {WWW '25}
}

@InProceedings{bevendorff_ecir_2025,
author="Bevendorff, Janek
and Dementieva, Daryna
and Fr{\"o}be, Maik
and Gipp, Bela
and Greiner-Petter, Andre
and Karlgren, Jussi
and Mayerl, Maximilian
and Nakov, Preslav
and Panchenko, Alexander
and Potthast, Martin
and Shelmanov, Artem
and Stamatatos, Efstathios
and Stein, Benno
and Wang, Yuxia
and Wiegmann, Matti
and Zangerle, Eva",
editor="Hauff, Claudia
and Macdonald, Craig
and Jannach, Dietmar
and Kazai, Gabriella
and Nardini, Franco Maria
and Pinelli, Fabio
and Silvestri, Fabrizio
and Tonellotto, Nicola",
title="Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection",
booktitle="Advances in Information Retrieval",
year="2025",
publisher="Springer Nature Switzerland",
address="Cham",
pages="434--441",
isbn="978-3-031-88720-8"
}


@Article{bauer:dagstuhl:2024,
  author =	{Bauer, Christine and Said, Alan and Zangerle, Eva},
  title =	{{Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211)}},
  pages =	{58--172},
  journal =	{Dagstuhl Reports},
  ISSN =	{2192-5283},
  year =	{2024},
  volume =	{14},
  number =	{5},
  editor =	{Bauer, Christine and Said, Alan and Zangerle, Eva},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops.dagstuhl.de/entities/document/10.4230/DagRep.14.5.58},
  URN =		{urn:nbn:de:0030-drops-222655},
  doi =		{10.4230/DagRep.14.5.58},
  annote =	{Keywords: Recommender Systems, Evaluation, Information Retrieval, User Interaction, Intelligent Systems}
}

@inproceedings{mohammadi:gvdb:2023,
  author       = {Amir Reza Mohammadi and
                  Amir{-}Hossein Karimi and
                  Mahdi Bohlouli and
                  Eva Zangerle and
                  G{\"{u}}nther Specht},
  editor       = {Holger Schwarz},
  title        = {HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based
                  Recommender Systems},
  booktitle    = {Proceedings of the 34th GI-Workshop on Foundations of Databases (Grundlagen
                  von Datenbanken), Hirsau, Germany, June 7-9, 2023},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {3714},
  publisher    = {CEUR-WS.org},
  year         = {2023},
  url          = {https://ceur-ws.org/Vol-3714/paper2.pdf},
}

@article{peintner:tors:2025,
author = {Peintner, Andreas and Mohammadi, Amir Reza and Zangerle, Eva},
title = {Efficient Session-based Recommendation with Contrastive Graph-based Shortest Path Search},
year = {2025},
issue_date = {December 2025},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
volume = {3},
number = {4},
url = {https://doi.org/10.1145/3701764},
doi = {10.1145/3701764},
journal = {ACM Transactions on Recommender Systems},
month = apr,
articleno = {46},
numpages = {24},
keywords = {Recommender systems, session-based recommendation, graph neural network, supervised contrastive learning}
}



@inproceedings{mohammadi:recsys:2024,
author = {Mohammadi, Amir Reza and Peintner, Andreas and M\"{u}ller, Michael and Zangerle, Eva},
title = {Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers},
year = {2024},
isbn = {9798400705052},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3640457.3691709},
doi = {10.1145/3640457.3691709},
abstract = {Explainability in recommender systems is both crucial and challenging. Among the state-of-the-art explanation strategies, counterfactual explanation provides intuitive and easily understandable insights into model predictions by illustrating how a small change in the input can lead to a different outcome. Recently, this approach has garnered significant attention, with various studies employing different metrics to evaluate the performance of these explanation methods. In this paper, we investigate the metrics used for evaluating counterfactual explainers for recommender systems. Through extensive experiments, we demonstrate that the performance of recommenders has a direct effect on counterfactual explainers and ignoring it results in inconsistencies in the evaluation results of explainer methods. Our findings highlight an additional challenge in evaluating counterfactual explainer methods and underscore the need to report the recommender performance or consider it in evaluation metrics.},
booktitle = {Proceedings of the 18th ACM Conference on Recommender Systems},
pages = {1113–1118},
numpages = {6},
keywords = {Counterfactual Explanation, Evaluation, Recommender Systems},
location = {Bari, Italy},
series = {RecSys '24}
}

@InProceedings{bevendorff:clef:2024,
author="Ayele, Abinew Ali
and Babakov, Nikolay
and Bevendorff, Janek
and Casals, Xavier Bonet
and Chulvi, Berta
and Dementieva, Daryna
and Elnagar, Ashaf
and Freitag, Dayne
and Fr{\"o}be, Maik
and Koren{\v{c}}i{\'{c}}, Damir
and Mayerl, Maximilian
and Moskovskiy, Daniil
and Mukherjee, Animesh
and Panchenko, Alexander
and Potthast, Martin
and Rangel, Francisco
and Rizwan, Naquee
and Rosso, Paolo
and Schneider, Florian
and Smirnova, Alisa
and Stamatatos, Efstathios
and Stakovskii, Elisei
and Stein, Benno
and Taul{\'e}, Mariona
and Ustalov, Dmitry
and Wang, Xintong
and Wiegmann, Matti
and Yimam, Seid Muhie
and Zangerle, Eva",
editor="Goeuriot, Lorraine
and Mulhem, Philippe
and Qu{\'e}not, Georges
and Schwab, Didier
and Di Nunzio, Giorgio Maria
and Soulier, Laure
and Galu{\v{s}}{\v{c}}{\'a}kov{\'a}, Petra
and Garc{\'i}a Seco de Herrera, Alba
and Faggioli, Guglielmo
and Ferro, Nicola",
title="Overview of PAN 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative AI Authorship Verification Condensed Lab Overview",
booktitle="Experimental IR Meets Multilinguality, Multimodality, and Interaction",
year="2024",
publisher="Springer Nature Switzerland",
address="Cham",
pages="231--259",
isbn="978-3-031-71908-0",
doi={10.1007/978-3-031-71908-0_11}
}

@inproceedings{said:recsys:2024,
author = {Said, Alan and Bauer, Christine and Zangerle, Eva},
title = {Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)},
year = {2024},
isbn = {9798400705052},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3640457.3687101},
doi = {10.1145/3640457.3687101},
booktitle = {Proceedings of the 18th ACM Conference on Recommender Systems},
pages = {1237–1238},
numpages = {2},
keywords = {information retrieval, introspection, personalized systems, recommender systems, reflection},
location = {Bari, Italy},
series = {RecSys '24}
}
@inproceedings{zangerle:pan:2024,
  author       = {Eva Zangerle and
                  Maximilian Mayerl and
                  Martin Potthast and
                  Benno Stein},
  title        = {Overview of the Multi-Author Writing Style Analysis Task at {PAN}
                  2024},
  booktitle    = {Working Notes of the Conference and Labs of the Evaluation Forum {(CLEF}
                  2024), Grenoble, France, 9-12 September, 2024},
  series       = {{CEUR} Workshop Proceedings},
  volume       = {3740},
  pages        = {2424--2431},
  publisher    = {CEUR-WS.org},
  year         = {2024},
  url          = {https://ceur-ws.org/Vol-3740},
}
@article{jacobsen:musicaescientiae:2024,
 author = {Peer-Ole Jacobsen and Hannah Strauss and Julia Vigl and Eva Zangerle and Marcel Zentner},
 doi = {10.1177/10298649241256252},
 eprint = {https://doi.org/10.1177/10298649241256252},
 journal = {Musicae Scientiae},
 title = {Assessing aesthetic music-evoked emotions in a minute or less: A comparison of the GEMS-45 and the GEMS-9},
journal = {Musicae Scientiae},
volume = {29},
number = {1},
pages = {184-192},
year = {2025},
doi = {10.1177/10298649241256252},
URL = {https://doi.org/10.1177/10298649241256252}
}
@inproceedings{moscati:umap:2024,
	title        = {Emotion-Based Music Recommendation from Quality Annotations and Large-Scale User-Generated Tags},
	author       = {Moscati, Marta and Strau\ss{}, Hannah and Jacobsen, Peer-Ole and Peintner, Andreas and Zangerle, Eva and Zentner, Marcel and Schedl, Markus},
	year         = 2024,
	booktitle    = {Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization},
	location     = {Cagliari, Italy},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	series       = {UMAP '24},
	pages        = {159–164},
	doi          = {10.1145/3627043.3659540},
	isbn         = 9798400704338,
	url          = {https://doi.org/10.1145/3627043.3659540},
	numpages     = 6,
	keywords     = {Annotation Study, Emotion-based Recommender Systems, Emotions, Music, Music Recommender Systems}
}
@article{parada:srep:2024,
	title        = {Song lyrics have become simpler and more repetitive over the last five decades},
	author       = {Parada-Cabaleiro, Emilia and Mayerl, Maximilian and Brandl, Stefan and Skowron, Marcin and Schedl, Markus and Lex, Elisabeth and Zangerle, Eva},
	year         = 2024,
	journal      = {Scientific Reports},
	publisher    = {Nature Publishing Group UK London},
	volume       = 14,
	number       = 1,
	pages        = 5531,
	doi          = {10.1038/s41598-024-55742-x}
}
@article{strauss:2024:behaviorresearchmethods,
	title        = {The Emotion-to-Music Mapping Atlas (EMMA): A systematically organized online database of emotionally evocative music excerpts},
	author       = {Strauss, Hannah and Vigl, Julia and Jacobsen, Peer-Ole and Bayer, Martin and Talamini, Francesca and Vigl, Wolfgang and Zangerle, Eva and Zentner, Marcel},
	year         = 2024,
	month        = {jun},
	journal      = {Behavior Research Methods},
	publisher    = {Springer},
	volume       = 56,
	number       = 4,
	pages        = {3560--3577},
	doi          = {https://doi.org/10.3758/s13428-024-02336-0},
	issue_date   = {June 2024}
}
@article{bauer:tors:2024,
	title        = {Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives},
	author       = {Bauer, Christine and Zangerle, Eva and Said, Alan},
	year         = 2024,
	month        = {mar},
	journal      = {ACM Trans. Recomm. Syst.},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	volume       = 2,
	number       = 1,
	doi          = {10.1145/3629170},
	url          = {https://doi.org/10.1145/3629170},
	issue_date   = {March 2024},
	articleno    = 11,
	numpages     = 31,
	keywords     = {Evaluation, survey, systematic literature review, recommender systems}
}
@article{bauer:tors2:2024,
	title        = {Introduction to the Special Issue on Perspectives on Recommender Systems Evaluation},
	author       = {Bauer, Christine and Said, Alan and Zangerle, Eva},
	year         = 2024,
	month        = {mar},
	journal      = {ACM Transactions on  Recommender Systems},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	volume       = 2,
	number       = 1,
	doi          = {10.1145/3648398},
	url          = {https://doi.org/10.1145/3648398},
	issue_date   = {March 2024},
	articleno    = 1,
	numpages     = 5,
	keywords     = {Evaluation, recommender systems, reproducibility, datasets, metrics}
}
@article{said:sigirforum:2024,
	title        = {Report on the 3rd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2023) at RecSys 2023},
	author       = {Said, Alan and Zangerle, Eva and Bauer, Christine},
	year         = 2024,
	month        = {jan},
	journal      = {SIGIR Forum},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	volume       = 57,
	number       = 2,
	doi          = {10.1145/3642979.3643000},
	issn         = {0163-5840},
	url          = {https://doi.org/10.1145/3642979.3643000},
	issue_date   = {December 2023},
	articleno    = 18,
	numpages     = 4
}
@proceedings{soto:iuiworkshops:2024,
	title        = {Joint Proceedings of the {ACM} {IUI} 2024 Workshops co-located with the 29th Annual {ACM} Conference on Intelligent User Interfaces {(IUI} 2024), Greenville, South Carolina, USA, March 18, 2024},
	year         = 2024,
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 3660,
	url          = {https://ceur-ws.org/Vol-3660},
	editor       = {Axel Soto and Eva Zangerle},
	urn          = {urn:nbn:de:0074-3660-6},
	timestamp    = {Fri, 12 Apr 2024 20:58:03 +0200},
	biburl       = {https://dblp.org/rec/conf/iui/2024w.bib},
	bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{bevendorff:ecir:2024,
	title        = {Overview of {PAN} 2024: Multi-author Writing Style Analysis, Multilingual Text Detoxification, Oppositional Thinking Analysis, and Generative {AI} Authorship Verification - Extended Abstract},
	author       = {Janek Bevendorff and Xavier Bonet Casals and Berta Chulvi and Daryna Dementieva and Ashaf Elnagar and Dayne Freitag and Maik Fr{\"{o}}be and Damir Korencic and Maximilian Mayerl and Animesh Mukherjee and Alexander Panchenko and Martin Potthast and Francisco Rangel and Paolo Rosso and Alisa Smirnova and Efstathios Stamatatos and Benno Stein and Mariona Taul{\'{e}} and Dmitry Ustalov and Matti Wiegmann and Eva Zangerle},
	year         = 2024,
	booktitle    = {Advances in Information Retrieval - 46th European Conference on Information Retrieval, {ECIR} 2024, Glasgow, UK, March 24-28, 2024, Proceedings, Part {VI}},
	publisher    = {Springer},
	series       = {Lecture Notes in Computer Science},
	volume       = 14613,
	pages        = {3--10},
	doi          = {10.1007/978-3-031-56072-9_1},
	editor       = {Nazli Goharian and Nicola Tonellotto and Yulan He and Aldo Lipani and Graham McDonald and Craig Macdonald and Iadh Ounis}
}
@article{zangerle:sigirforum:2022,
	title        = {Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022},
	author       = {Zangerle, Eva and Bauer, Christine and Said, Alan},
	year         = 2023,
	month        = {jan},
	journal      = {SIGIR Forum},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	volume       = 56,
	number       = 2,
	doi          = {10.1145/3582900.3582919},
	issn         = {0163-5840},
	url          = {https://doi.org/10.1145/3582900.3582919},
	issue_date   = {December 2022},
	articleno    = 15,
	numpages     = 4
}
@inproceedings{mayerl:btw:2023,
	title        = {Pairwise Learning to Rank for Hit Song Prediction},
	author       = {Maximilian Mayerl and Michael V{\"{o}}tter and G{\"{u}}nther Specht and Eva Zangerle},
	year         = 2023,
	booktitle    = {Datenbanksysteme f{\"{u}}r Business, Technologie und Web {(BTW} 2023), 20. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme (DBIS), Proceedings},
	publisher    = {Gesellschaft f{\"{u}}r Informatik e.V.},
	series       = {{LNI}},
	volume       = {{P-331}},
	pages        = {555--565},
	doi          = {10.18420/BTW2023-26}
}
@inproceedings{moosleitner:btw:2023,
	title        = {Detection of Generated Text Reviews by Leveraging Methods from Authorship Attribution: Predictive Performance vs. Resourcefulness},
	author       = {Manfred Moosleitner and G{\"{u}}nther Specht and Eva Zangerle},
	year         = 2023,
	booktitle    = {Datenbanksysteme f{\"{u}}r Business, Technologie und Web {(BTW} 2023), 20. Fachtagung des GI-Fachbereichs Datenbanken und Informationssysteme, Proceedings},
	publisher    = {Gesellschaft f{\"{u}}r Informatik e.V.},
	series       = {{LNI}},
	volume       = {{P-331}},
	pages        = {221--232},
	doi          = {10.18420/BTW2023-11}
}
@inproceedings{bevendorff:ecir:2023,
	title        = {Overview of PAN 2023: Authorship Verification, Multi-author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection},
	author       = {Bevendorff, Janek and Chinea-R{\'i}os, Mara and Franco-Salvador, Marc and Heini, Annina and K{\"o}rner, Erik and Kredens, Krzysztof and Mayerl, Maximilian and P{\k{e}}zik, Piotr and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva},
	year         = 2023,
	booktitle    = {Advances in Information Retrieval - 45th European Conference on IR Research},
	publisher    = {Springer Nature Switzerland},
	address      = {Cham},
	pages        = {518--526},
	isbn         = {978-3-031-28241-6}
}
@proceedings{said:perspectives:2023,
	title        = {Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th {ACM} Conference on Recommender Systems (RecSys 2023), Singapore, Singapore, September 19, 2023},
	year         = 2023,
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 3476,
	url          = {https://ceur-ws.org/Vol-3476},
	editor       = {Alan Said and Eva Zangerle and Christine Bauer},
	urn          = {urn:nbn:de:0074-3476-4},
	keywords     = {nonqa}
}
@inproceedings{peintner:recsys:2023,
	title        = {{SPARE:} Shortest Path Global Item Relations for Efficient Session-based Recommendation},
	author       = {Andreas Peintner and Amir Reza Mohammadi and Eva Zangerle},
	year         = 2023,
	booktitle    = {Proceedings of the 17th {ACM} Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023},
	publisher    = {{ACM}},
	pages        = {58--69},
	doi          = {10.1145/3604915.3608768},
	url          = {https://doi.org/10.1145/3604915.3608768}
}
@inproceedings{said:recsys:2023,
	title        = {Third Workshop: Perspectives on the Evaluation of Recommender Systems {(PERSPECTIVES} 2023)},
	author       = {Alan Said and Eva Zangerle and Christine Bauer},
	year         = 2023,
	booktitle    = {Proceedings of the 17th {ACM} Conference on Recommender Systems, RecSys 2023, Singapore, Singapore, September 18-22, 2023},
	publisher    = {{ACM}},
	pages        = {1221--1222},
	doi          = {10.1145/3604915.3608748},
	url          = {https://doi.org/10.1145/3604915.3608748},
	keywords     = {nonqa}
}
@inproceedings{bevendorff:clef:2023,
	title        = {Overview of PAN 2023: Authorship Verification, Multi-Author Writing Style Analysis, Profiling Cryptocurrency Influencers, and Trigger Detection},
	author       = {Bevendorff, Janek and Borrego-Obrador, Ian and Chinea-R{\'i}os, Mara and Franco-Salvador, Marc and Fr{\"o}be, Maik and Heini, Annina and Kredens, Krzysztof and Mayerl, Maximilian and P{\k{e}}zik, Piotr and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva},
	year         = 2023,
	booktitle    = {Experimental IR Meets Multilinguality, Multimodality, and Interaction},
	publisher    = {Springer Nature Switzerland},
	address      = {Cham},
	pages        = {459--481},
	doi          = {10.1007/978-3-031-42448-9_29},
	isbn         = {978-3-031-42448-9}
}
@inproceedings{voetter:smc:2023,
	title        = {Song Popularity Prediction using Ordinal Classification},
	author       = {V\"{o}tter, Michael and Mayerl, Maximilian and Zangerle, Eva and Specht, Günther},
	year         = 2023,
	booktitle    = {Proceedings of the 20th Sound and Music Computing Conference. June 15-17, 2023. Stockholm, Sweden},
	publisher    = {Royal College of Music and KTH Royal Institute of Technology},
	editor       = {Roberto Bresin and Kjetil Falkenberg},
	organization = {Royal College of Music and KTH Royal Institute of Technology}
}
@inproceedings{zangerle:pan:2023,
	title        = {{Overview of the Multi-Author Writing Style Analysis Task at PAN 2023}},
	author       = {Eva Zangerle and Maximilian Mayerl and Martin Potthast and Benno Stein},
	year         = 2023,
	month        = sep,
	booktitle    = {{Working Notes of CLEF 2023 - Conference and Labs of the Evaluation Forum}},
	publisher    = {CEUR-WS.org},
	crossref     = {pan:2023},
	editor       = {Avi Arampatzis and Evangelos Kanoulas and Theodora Tsikrika and Stefanos Vrochidis and Anastasia Giachanou and Dan Li and Mohammad Aliannejadi and Michalis Vlachos and Guglielmo Faggioli and Nicola Ferro}
}
@inproceedings{zangerle:pan:2023,
	title        = {Overview of the Multi-Author Writing Style Analysis Task at {PAN} 2023},
	author       = {Eva Zangerle and Maximilian Mayerl and Martin Potthast and Benno Stein},
	year         = 2023,
	booktitle    = {Working Notes of the Conference and Labs of the Evaluation Forum {(CLEF} 2023), Thessaloniki, Greece, September 18th to 21st, 2023},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 3497,
	pages        = {2513--2522},
	url          = {https://ceur-ws.org/Vol-3497/paper-201.pdf},
	editor       = {Mohammad Aliannejadi and Guglielmo Faggioli and Nicola Ferro and Michalis Vlachos},
	timestamp    = {Wed, 25 Oct 2023 17:24:28 +0200},
	biburl       = {https://dblp.org/rec/conf/clef/ZangerleMP023.bib},
	bibsource    = {dblp computer science bibliography, https://dblp.org}
}
@inproceedings{bevendorff:clef:2022,
	title        = {{Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, and Style Change Detection}},
	author       = {Janek Bevendorff and Berta Chulvi and Elisabetta Fersini and Annina Heini and Mike Kestemont and Krzysztof Kredens and Maximilian Mayerl and Reynier Ortega{-}Bueno and Piotr Pezik and Martin Potthast and Francisco Rangel and Paolo Rosso and Efstathios Stamatatos and Benno Stein and Matti Wiegmann and Magdalena Wolska and Eva Zangerle},
	year         = 2022,
	booktitle    = {Experimental {IR} Meets Multilinguality, Multimodality, and Interaction - 13th International Conference of the {CLEF} Association},
	publisher    = {Springer},
	series       = {LNCS},
	volume       = 13390,
	pages        = {382--394},
	doi          = {10.1007/978-3-031-13643-6_24},
	keywords     = {further}
}
@inproceedings{bevendorff:ecir:2022,
	title        = {{Overview of PAN 2022: Authorship Verification, Profiling Irony and Stereotype Spreaders, Style Change Detection, and Trigger Detection}},
	author       = {Bevendorff, Janek and Chulvi, Berta and Fersini, Elisabetta and Heini, Annina and Kestemont, Mike and Kredens, Krzysztof and Mayerl, Maximilian and Ortega-Bueno, Reyner and Pezik, Piotr and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva},
	year         = 2022,
	booktitle    = {Advances in Information Retrieval - 44th European Conference on IR Research},
	publisher    = {Springer},
	series       = {ECIR '22},
	pages        = {331--338},
	doi          = {10.1007/978-3-030-99739-7_42},
	keywords     = {further}
}
@article{binna:tods:2022,
	title        = {{Height Optimized Tries}},
	author       = {Binna, Robert and Zangerle, Eva and Pichl, Martin and Specht, G\"{u}nther and Leis, Viktor},
	year         = 2022,
	journal      = {ACM Transactions on Database Systems},
	publisher    = {ACM},
	volume       = 47,
	number       = 1,
	doi          = {10.1145/3506692},
	articleno    = 3,
	numpages     = 46,
	keywords     = {further}
}
@inproceedings{moosleitner:gvdb:2022,
	title        = {{Co-rating Attacks on Recommendation Algorithms}},
	author       = {Moosleitner, Manfred and Specht, G\"{u}nther and Zangerle, Eva},
	year         = 2022,
	booktitle    = {Proceedings of the 32nd GI-Workshop Grundlagen von Datenbanksysteme (GvDB'21)},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 3075,
	keywords     = {further}
}
@inproceedings{moscati:cikm:2022,
	title        = {{Music4All-Onion -- A Large-Scale Multi-Faceted Content-Centric Music Recommendation Dataset}},
	author       = {Moscati, Marta and Parada-Cabaleiro, Emilia and Deldjoo, Yashar and Zangerle, Eva and Schedl, Markus},
	year         = 2022,
	booktitle    = {Proceedings of the 31st ACM International Conference on Information \& Knowledge Management},
	publisher    = {ACM},
	series       = {CIKM '22},
	pages        = {4339–4343},
	doi          = {10.1145/3511808.3557656},
	keywords     = {further}
}
@inproceedings{peintner:cars:2022,
	title        = {Unsupervised Graph Embeddings for Session-based Recommendation with Item Features},
	author       = {Peintner, Andreas and Moscati, Marta and Parada-Cabaleiro, Emilia and Schedl, Markus and Zangerle, Eva},
	year         = 2022,
	booktitle    = {CARS: Workshop on Context-Aware Recommender Systems (RecSys ’22)}
}
@article{voetter:ijsc:2022,
	title        = {{HSP Datasets: Insights on Song Popularity Prediction}},
	author       = {Vötter, Michael and Mayerl, Maximilian and Specht, Günther and Zangerle, Eva},
	year         = 2022,
	journal      = {International Journal of Semantic Computing},
	publisher    = {World Scientific Publishing},
	pages        = {1--23},
	doi          = {10.1142/S1793351X22400104},
	keywords     = {further}
}
@article{zangerle:csur:2022,
	title        = {Evaluating Recommender Systems: Survey and Framework},
	author       = {Zangerle, Eva and Bauer, Christine},
	year         = 2022,
	month        = {dec},
	journal      = {ACM Computing Surveys},
	publisher    = {Association for Computing Machinery},
	address      = {New York, NY, USA},
	volume       = 55,
	number       = 8,
	doi          = {10.1145/3556536},
	issn         = {0360-0300},
	url          = {https://doi.org/10.1145/3556536},
	issue_date   = {August 2023},
	articleno    = 170,
	numpages     = 38
}
@inproceedings{zangerle:pan:2022,
	title        = {{Overview of the Style Change Detection Task at PAN 2022}},
	author       = {Eva Zangerle and Maximilian Mayerl and Martin Potthast and Benno Stein},
	year         = 2022,
	booktitle    = {Proceedings of the Working Notes of {CLEF} 2022 - Conference and Labs of the Evaluation Forum},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 3180,
	pages        = {2344--2356},
	keywords     = {further}
}
@proceedings{zangerle:perspectives:2022,
	title        = {Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2022 co-located with the 16th ACM Conference on Recommender Systems (RecSys 2022)},
	year         = 2022,
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 3228,
	url          = {http://ceur-ws.org/Vol-3228},
	editor       = {Eva Zangerle and Christine Bauer and Alan Said},
	keywords     = {nonqa}
}
@inproceedings{zangerle:recsys:2022,
	title        = {Second Workshop: Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022)},
	author       = {Zangerle, Eva and Bauer, Christine and Said, Alan},
	year         = 2022,
	booktitle    = {Proceedings of the 16th ACM Conference on Recommender Systems},
	publisher    = {ACM},
	series       = {RecSys '22},
	pages        = {652–653},
	doi          = {10.1145/3523227.3547408},
	keywords     = {nonqa}
}
@article{zangerle:sigirforum:2021,
	title        = {{Report on the 1st Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2021) at RecSys 2021}},
	author       = {Zangerle, Eva and Bauer, Christine and Said, Alan},
	year         = 2022,
	journal      = {SIGIR Forum},
	publisher    = {ACM},
	volume       = 55,
	number       = 2,
	doi          = {10.1145/3527546.3527565},
	articleno    = 16,
	numpages     = 5,
	keywords     = {further}
}
@inproceedings{mayerl:ismir:2022,
	title        = {Verse versus Chorus: Structure-aware Feature Extraction for Lyrics-based Genre Recognition},
	author       = {Mayerl, Maximilian and Brandl, Stefan and Specht, G{\"u}nther and Schedl, Markus and Zangerle, Eva},
	year         = 2022,
	booktitle    = {Proceedings of the 23rd International Society for Music Information Retrieval Conference 2022},
	publisher    = {ISMIR},
	series       = {ISMIR '22},
	pages        = {884--890},
	doi          = {10.5281/zenodo.7316806}
}
@phdthesis{zangerle:habil:2022,
	title        = {{Recommender Systems for Music Retrieval Tasks}},
	author       = {Eva Zangerle},
	year         = 2022,
	type         = {Habilitation},
	school       = {University of Innsbruck}
}
@inproceedings{bevendorff:clef:2021,
	title        = {{Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection}},
	author       = {Bevendorff, Janek and Chulvi, Berta and la Pe{\~{n}}a Sarrac{\'{e}}n, Gretel Liz De and Kestemont, Mike and Manjavacas, Enrique and Markov, Ilia and Mayerl, Maximilian and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva},
	year         = 2021,
	booktitle    = {Experimental {IR} Meets Multilinguality, Multimodality, and Interaction - 12th International Conference of the {CLEF} Association},
	publisher    = {Springer},
	series       = {LNCS},
	volume       = 12880,
	pages        = {419--431},
	doi          = {10.1007/978-3-030-85251-1_26},
	keywords     = {further}
}
@inproceedings{bevendorff:ecir:2021,
	title        = {{Overview of PAN 2021: Authorship Verification, Profiling Hate Speech Spreaders on Twitter, and Style Change Detection}},
	author       = {Bevendorff, Janek and Chulvi, BERTa and Sarrac{\'e}n, Gretel Liz De La Pe{\~{n}}a and Kestemont, Mike and Manjavacas, Enrique and Markov, Ilia and Mayerl, Maximilian and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Wolska, Magdalena and Zangerle, Eva},
	year         = 2021,
	booktitle    = {Advances in Information Retrieval -- 43rd European Conference on IR Research},
	publisher    = {Springer},
	series       = {ECIR '21},
	pages        = {567--573},
	keywords     = {further}
}
@article{kowald:epjds:2021,
	title        = {{Support the underground: characteristics of beyond-mainstream music listeners}},
	author       = {Kowald, Dominik and M{\"{u}}llner, Peter and Zangerle, Eva and Bauer, Christine and Schedl, Markus and Lex, Elisabeth},
	year         = 2021,
	journal      = {{EPJ} Data Science},
	volume       = 10,
	number       = 1,
	pages        = 14,
	doi          = {10.1140/epjds/s13688-021-00268-9}
}
@article{pichl:mtap:2021,
	title        = {{User models for multi-context-aware music recommendation}},
	author       = {Pichl, Martin and Zangerle, Eva},
	year         = 2021,
	journal      = {Multimedia Tools and Applications},
	publisher    = {Springer},
	volume       = 80,
	number       = 15,
	pages        = {22509--22531},
	doi          = {10.1007/s11042-020-09890-7}
}
@inproceedings{voetter:ism:2021,
	title        = {{Novel Datasets for Evaluating Song Popularity Prediction Tasks}},
	author       = {V\"{o}tter, Michael and Mayerl, Maximilian and Specht, G\"{u}nther and Zangerle, Eva},
	year         = 2021,
	booktitle    = {{IEEE} International Symposium on Multimedia},
	publisher    = {{IEEE}},
	series       = {ISM '21},
	pages        = {166--173},
	doi          = {10.1109/ISM52913.2021.00034},
	keywords     = {further}
}
@inproceedings{zangerle:pan:2021,
	title        = {{Overview of the Style Change Detection Task at PAN 2021}},
	author       = {Zangerle, Eva and Mayerl, Maximilian and Potthast, Martin and Stein, Benno},
	year         = 2021,
	booktitle    = {{CLEF 2021 Labs and Workshops, Notebook Papers}},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 2936,
	pages        = {1760--1771},
	keywords     = {further}
}
@proceedings{zangerle:perspectives:2021,
	title        = {{Proceedings of the Perspectives on the Evaluation of Recommender Systems Workshop 2021 co-located with the 15th ACM Conference on Recommender Systems (RecSys 2021)}},
	year         = 2021,
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 2955,
	url          = {http://ceur-ws.org/Vol-2955},
	editor       = {Eva Zangerle and Christine Bauer and Alan Said},
	keywords     = {nonqa}
}
@inbook{zangerle:recsys:2021,
	title        = {{Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES)}},
	author       = {Zangerle, Eva and Bauer, Christine and Said, Alan},
	year         = 2021,
	booktitle    = {Proceedings of the 15th ACM Conference on Recommender Systems},
	publisher    = {ACM},
	series       = {RecSys '21},
	pages        = {794–-795},
	doi          = {10.1145/3460231.3470929},
	keywords     = {further,nonqa}
}
@article{zangerle:taffc:2021,
	title        = {{Leveraging Affective Hashtags for Ranking Music Recommendations}},
	author       = {Zangerle, Eva and Chen, Chih-Ming and Tsai, Ming-Feng and Yang, Yi-Hsuan},
	year         = 2021,
	journal      = {IEEE Transactions on Affective Computing},
	publisher    = {IEEE},
	volume       = 12,
	number       = 1,
	pages        = {78--91},
	doi          = {10.1109/TAFFC.2018.2846596}
}
@inproceedings{mayerl:mediaeval:2021,
	title        = {Recognizing Song Mood and Theme: Clustering-based Ensembles},
	author       = {Maximilian Mayerl and Michael V{\"{o}}tter and Andreas Peintner and G{\"{u}}nther Specht and Eva Zangerle},
	year         = 2021,
	booktitle    = {Working Notes Proceedings of the MediaEval 2021 Workshop, Online, 13-15 December 2021},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 3181,
	url          = {https://ceur-ws.org/Vol-3181/paper14.pdf}
}
@inproceedings{bevendorff:clef:2020,
	title        = {{Overview of PAN 2020: Authorship Verification, Celebrity Profiling, Profiling Fake News Spreaders on Twitter, and Style Change Detection}},
	author       = {Bevendorff, Janek and Ghanem, Bilal and Giachanou, Anastasia and Kestemont, Mike and Manjavacas, Enrique and Markov, Ilia and Mayerl, Maximilian and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Specht, G{\"u}nther and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Zangerle, Eva},
	year         = 2020,
	booktitle    = {Experimental IR Meets Multilinguality, Multimodality, and Interaction: 11th International Conference of the CLEF Association},
	publisher    = {Springer},
	series       = {LNCS},
	volume       = 12260,
	pages        = {372--383},
	keywords     = {further}
}
@inproceedings{bevendorff:ecir:2020,
	title        = {{Shared Tasks on Authorship Analysis at PAN 2020}},
	author       = {Bevendorff, Janek and Ghanem, Bilal and Giachanou, Anastasia and Kestemont, Mike and Manjavacas, Enrique and Potthast, Martin and Rangel, Francisco and Rosso, Paolo and Specht, G{\"u}nther and Stamatatos, Efstathios and Stein, Benno and Wiegmann, Matti and Zangerle, Eva},
	year         = 2020,
	booktitle    = {Advances in Information Retrieval -- 42nd European Conference on IR Research},
	publisher    = {Springer},
	series       = {ECIR '20},
	pages        = {508--516},
	keywords     = {further}
}
@proceedings{cummings:ismir:2020,
	title        = {{Proceedings of the 21th International Society for Music Information Retrieval Conference}},
	year         = 2020,
	series       = {ISMIR '20},
	editor       = {Julie Cumming and Jin Ha Lee and Brian McFee and Markus Schedl and Johanna Devaney and Cory McKay and Eva Zangerle and Timothy de Reuse}
}
@inproceedings{hoertenhuemer:pan:2020,
	title        = {{A Multi-Aspect Classification Ensemble Approach for Profiling Fake News Spreaders on Twitter---Notebook for PAN at CLEF 2020}},
	author       = {H{\"o}rtenhuemer, Clemens and Zangerle, Eva},
	year         = 2020,
	booktitle    = {{CLEF 2020 Labs and Workshops, Notebook Papers}},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 2696,
	keywords     = {further}
}
@inproceedings{liu:ismir:2020,
	title        = {{Pandemics, Music, and Collective Sentiment: Evidence from the Outbreak of COVID-19}},
	author       = {Liu, Meijun and Zangerle, Eva and Hu, Xiao and Melchiorre, Alessandro and Schedl, Markus},
	year         = 2020,
	booktitle    = {{Proceedings of the 21st International Society for Music Information Retrieval Conference 2020}},
	publisher    = {ISMIR},
	series       = {ISMIR '20},
	pages        = {157--165},
	keywords     = {further}
}
@inproceedings{melchiorre:recsys:2020,
	title        = {{Personality Bias of Music Recommendation Algorithms}},
	author       = {Melchiorre, Alessandro B. and Zangerle, Eva and Schedl, Markus},
	year         = 2020,
	booktitle    = {Proceedings of the 14th ACM Conference on Recommender Systems},
	publisher    = {ACM},
	series       = {RecSys '20},
	pages        = {533–538},
	doi          = {10.1145/3383313.3412223}
}
@inproceedings{voetter:mediaeval:2020,
	title        = {{Recognizing Song Mood and Theme: Leveraging Ensembles of Tag Groups}},
	author       = {Vötter, Michael and Mayerl, Maximilian and Specht, Günther and Zangerle, Eva},
	year         = 2020,
	booktitle    = {Working Notes Proceedings of the MediaEval 2020 Workshop},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 3181,
	keywords     = {further}
}
@inproceedings{zangerle:pan:2020,
	title        = {{Overview of the Style Change Detection Task at PAN 2020}},
	author       = {Zangerle, Eva and Mayerl, Maximilian and Specht, G{\"u}nther and Potthast, Martin and Stein, Benno},
	year         = 2020,
	booktitle    = {{CLEF 2020 Labs and Workshops, Notebook Papers}},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 2696,
	keywords     = {further}
}
@article{zangerle:tismir:2020,
	title        = {{User Models for Culture-Aware Music Recommendation: Fusing Acoustic and Cultural Cues}},
	author       = {Zangerle, Eva and Pichl, Martin and Schedl, Markus},
	year         = 2020,
	journal      = {Transactions of the International Society for Music Information Retrieval},
	publisher    = {Ubiquity Press},
	volume       = 3,
	number       = 1,
	doi          = {10.5334/tismir.37}
}
@inproceedings{mayerl2020comparing,
	title        = {Comparing Lyrics Features for Genre Recognition},
	author       = {Mayerl, Maximilian and V{\"o}tter, Michael and Moosleitner, Manfred and Zangerle, Eva},
	year         = 2020,
	booktitle    = {Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA)},
	pages        = {73--77}
}
@inproceedings{mayerl:nlp4musa:2020,
	title        = {Comparing Lyrics Features for Genre Recognition},
	author       = {Mayerl, Maximilian  and V{\"o}tter, Michael  and Moosleitner, Manfred  and Zangerle, Eva},
	year         = 2020,
	month        = {16 } # oct,
	booktitle    = {Proceedings of the 1st Workshop on NLP for Music and Audio (NLP4MusA)},
	publisher    = {Association for Computational Linguistics},
	address      = {Online},
	pages        = {73--77},
	url          = {https://aclanthology.org/2020.nlp4musa-1.15},
	editor       = {Oramas, Sergio  and Espinosa-Anke, Luis  and Epure, Elena  and Jones, Rosie  and Sordo, Mohamed  and Quadrana, Massimo  and Watanabe, Kento}
}
@inproceedings{bauer:impactrs:2019,
	title        = {{Leveraging Multi-Method Evaluation for Multi-Stakeholder Settings}},
	author       = {Bauer, Christine and Zangerle, Eva},
	year         = 2019,
	booktitle    = {{Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems (ACM RecSys 2019)}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 2462,
	keywords     = {further}
}
@inproceedings{daelemans:clef:2019,
	title        = {{Overview of PAN 2019: Bots and Gender Profiling, Celebrity Profiling, Cross-Domain Authorship Attribution and Style Change Detection}},
	author       = {Daelemans, Walter and Kestemont, Mike and Manjavacas, Enrique and Potthast, Martin and Pardo, Francisco M. Rangel and Rosso, Paolo and Specht, G{\"{u}}nther and Stamatatos, Efstathios and Stein, Benno and Tschuggnall, Michael and Wiegmann, Matti and Zangerle, Eva},
	year         = 2019,
	booktitle    = {{Experimental {IR} Meets Multilinguality, Multimodality, and Interaction - 10th International Conference of the {CLEF} Association}},
	publisher    = {Springer},
	series       = {LNCS},
	volume       = 11696,
	pages        = {402--416},
	doi          = {10.1007/978-3-030-28577-7_30},
	keywords     = {further}
}
@inproceedings{hung:mediaeval:2019,
	title        = {{MediaEval 2019 Emotion and Theme Recognition task: A VQ-VAE Based Approach}},
	author       = {Hung, Hsiao-Tzu and Chen, Yu-Hua and Mayerl, Maximilian and V\"otter, Michael and Zangerle, Eva and Yang, Yi-Hsuan},
	year         = 2019,
	booktitle    = {{Working Notes Proceedings of the MediaEval 2019 Workshop}},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 2670,
	keywords     = {further}
}
@inproceedings{mayerl:gvdb:2019,
	title        = {{Language Models for Next-Track Music Recommendation}},
	author       = {Mayerl, Maximilian and V\"{o}tter, Michael and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2019,
	booktitle    = {{Proceedings of the 31. GI-Workshop Grundlagen von Datenbanken}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 2367,
	pages        = {15--19},
	keywords     = {further}
}
@inproceedings{mayerl:mediaeval:2019,
	title        = {{Recognizing Song Mood and Theme Using Convolutional Recurrent Neural Networks}},
	author       = {Mayerl, Maximilian and V\"otter, Michael and Hung, Hsiao-Tzu and Chen, Boyu and Yang, Yi-Hsuan and Zangerle, Eva},
	year         = 2019,
	booktitle    = {{Working Notes Proceedings of the MediaEval 2019 Workshop}},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 2670,
	keywords     = {further}
}
@inproceedings{rampl:cl:2019,
	title        = {{"Nobody Climbs Mountains for Scientific Reasons" -- Semantic Mountaineering History: Names and Activities in Mountaineering Discourse}},
	author       = {Rampl, Gerhard and Gruber, Elisabeth and Hiebel, Gerald and Larl, Bettina and Posch, Claudia and Zangerle, Eva},
	year         = 2019,
	booktitle    = {{10th International Corpus Linguistics Conference}},
	keywords     = {further}
}
@inproceedings{saeed:neuripscreativity:2019,
	title        = {{Creative GANs for generating poems, lyrics, and metaphors}},
	author       = {Saeed, Asir and Ilic, Suzana and Zangerle, Eva},
	year         = 2019,
	booktitle    = {NeurIPS Workshop Machine Learning for Creativity and Design},
	doi          = {abs/1909.09534},
	archiveprefix = {arXiv},
	keywords     = {further}
}
@inproceedings{schmidt:opensym:2019,
	title        = {{Article Quality Classification on Wikipedia: Introducing Document Embeddings and Content Features}},
	author       = {Schmidt, Manuel and Zangerle, Eva},
	year         = 2019,
	booktitle    = {{Proceedings of the 15th International Symposium on Open Collaboration}},
	publisher    = {{ACM}},
	series       = {OpenSym '19},
	pages        = {13:1--13:8},
	doi          = {10.1145/3306446.3340831},
	keywords     = {further}
}
@inproceedings{voetter:gvdb:2019,
	title        = {{Autoencoders for Next-Track Recommendations}},
	author       = {V\"{o}tter, Michael and Zangerle, Eva and Mayerl, Maximilian and Specht, G\"{u}nther},
	year         = 2019,
	booktitle    = {{Proceedings of the 31. GI-Workshop Grundlagen von Datenbanken}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 2367,
	pages        = {20--25},
	keywords     = {further}
}
@inproceedings{zangerle:ismir:2019,
	title        = {{Hit Song Prediction: Leveraging Low- and High-Level Audio Features}},
	author       = {Zangerle, Eva and Huber, Ramona and V\"{o}tter, Michael and Yang, Yi-Hsuan},
	year         = 2019,
	booktitle    = {{Proceedings of the 20th International Society for Music Information Retrieval Conference}},
	publisher    = {ISMIR},
	series       = {ISMIR '19},
	pages        = {319--326},
	keywords     = {further}
}
@inproceedings{zangerle:pan:2019,
	title        = {{Overview of the Style Change Detection Task at PAN 2019}},
	author       = {Zangerle, Eva and Tschuggnall, Michael and Specht, G{\"{u}}nther and Stein, Benno and Potthast, Martin},
	year         = 2019,
	booktitle    = {{Working Notes of {CLEF} 2019 - Conference and Labs of the Evaluation Forum}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 2380,
	keywords     = {further}
}
@inproceedings{bauer:gresit:2018,
	title        = {{Information Imbalance and Responsibility in Recommender Systems}},
	author       = {Bauer, Christine and Zangerle, Eva},
	year         = 2018,
	booktitle    = {Workshop Proceeding of the 2nd Workshop on Green (Responsible, Ethical and Social) IT and IS---the Corporate Perspective (GRES-IT/IS)},
	url          = {https://epub.wu.ac.at/7681/},
	type         = {Working Papers on Information Systems, Information Business and Operations},
	organization = {Department f{\"u}r Informationsverarbeitung und Prozessmanagement, WU Vienna University of Economics and Business},
	keywords     = {further}
}
@inproceedings{binna:sigmod:2018,
	title        = {{HOT: A Height Optimized Trie Index for Main-Memory Database Systems}},
	author       = {Binna, Robert and Zangerle, Eva and Pichl, Martin and Specht, G\"{u}nther and Leis, Viktor},
	year         = 2018,
	booktitle    = {{Proceedings of the 2018 International Conference on Management of Data}},
	publisher    = {ACM},
	series       = {SIGMOD '18},
	pages        = {521--534},
	doi          = {10.1145/3183713.3196896},
	keywords     = {further}
}
@inproceedings{celik:iuadaptme:2018,
	title        = {{UMAP 2018 Intelligent User-Adapted Interfaces: Design and Multi-Modal Evaluation Workshop Chairs' Welcome and Organization}},
	author       = {Celik, Ilknur and Torre, Ilaria and Koceva, Frosina and Bauer, Christine and Zangerle, Eva and Knijnenburg, Bart},
	year         = 2018,
	booktitle    = {{Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization}},
	publisher    = {ACM},
	series       = {UMAP '18},
	pages        = {137--139},
	doi          = {10.1145/3213586.3226202},
	keywords     = {nonqa}
}
@inproceedings{esswein:milc:2018,
	title        = {{geMsearch: Personalized Explorative Music Search}},
	author       = {Esswein, Christian and Schedl, Markus and Zangerle, Eva},
	year         = 2018,
	booktitle    = {{Joint Proceedings of the ACM IUI 2018 Workshops co-located with the 23rd ACM Conference on Intelligent User Interfaces}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 2068,
	keywords     = {further}
}
@inproceedings{larl:cmc:2018,
	title        = {{Leiwand Oida: Geolocating Regional Linguistic Variation of German on Twitter}},
	author       = {Larl, Bettina and Zangerle, Eva},
	year         = 2018,
	booktitle    = {{Proceedings of the 6th Conference on Computer-Mediated Communication (CMC) and Social Media Corpora}},
	keywords     = {further}
}
@inproceedings{pichl:cbmi:2018,
	title        = {{Latent Feature Combination for Multi-Context Music Recommendation}},
	author       = {Pichl, Martin and Zangerle, Eva},
	year         = 2018,
	booktitle    = {{2018 International Conference on Content-Based Multimedia Indexing}},
	publisher    = {IEEE},
	series       = {CBMI '18},
	pages        = {1--6},
	doi          = {10.1109/CBMI.2018.8516495}
}
@inproceedings{pichl:ecom:2018,
	title        = {{Carl: Sports Award Recommender}},
	author       = {Pichl, Martin and Pichl, Bernward and Zangerle, Eva},
	year         = 2018,
	booktitle    = {{The {SIGIR} 2018 Workshop On eCommerce co-located with the 41st International {ACM} {SIGIR} Conference on Research and Development in Information Retrieval}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 2319,
	keywords     = {further}
}
@inproceedings{poddar:smc:2018,
	title        = {{\#nowplaying-RS: A New Benchmark Dataset for Building Context-Aware Music Recommender Systems }},
	author       = {Poddar, Asmita and Zangerle, Eva and Yang, Yi-Hsuan},
	year         = 2018,
	booktitle    = {{Proceedings of the 15th Sound and Music Computing Conference}},
	publisher    = {SMC},
	doi          = {10.5281/zenodo.1422565},
	keywords     = {further}
}
@inproceedings{zangerle:ecir:2018,
	title        = {{ALF-200k: Towards Extensive Multimodal Analyses of Music Tracks and Playlists}},
	author       = {Zangerle, Eva and Tschuggnall, Michael and Wurzinger, Stefan and Specht, G\"{u}nther},
	year         = 2018,
	booktitle    = {{Advances in Information Retrieval - 39th European Conference on IR Research}},
	publisher    = {Springer},
	series       = {ECIR '18},
	pages        = {584--590},
	doi          = {10.1007/978-3-319-76941-7_48},
	keywords     = {further}
}
@inproceedings{zangerle:ismir:2018,
	title        = {{Content-based User Models: Modeling the Many Faces of Musical Preference}},
	author       = {Zangerle, Eva and Pichl, Martin},
	year         = 2018,
	booktitle    = {{Proceedings of the 19th International Society for Music Information Retrieval Conference}},
	publisher    = {ISMIR},
	series       = {ISMIR '18},
	pages        = {709--716}
}
@inproceedings{zangerle:umap:2018,
	title        = {{Culture-Aware Music Recommendation}},
	author       = {Zangerle, Eva and Pichl, Martin and Schedl, Markus},
	year         = 2018,
	booktitle    = {{Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization}},
	publisher    = {ACM},
	series       = {UMAP '18},
	pages        = {357--358},
	doi          = {10.1145/3209219.3209258},
	keywords     = {further}
}
@incollection{zangerle:wikiworkshop:2018,
	title        = {{Recommendation-Assisted Data Curation for Wikidata}},
	author       = {Zangerle, Eva and M\"{u}ller-Birn, Claudia},
	year         = 2018,
	booktitle    = {{Wiki Workshop 2018, co-located with The Web Conference}},
	doi          = {10.5281/zenodo.1194790},
	keywords     = {further}
}
@inproceedings{laner:dha:2017,
	title        = {{Visualization Strategies for Digital Archives. The Case of the Ernst-von-Glasersfeld-Archive}},
	author       = {Laner, Barbara and Stauder, Andy and Zangerle, Eva and Hug, Theo},
	year         = 2017,
	booktitle    = {{4th Digital Humanities Conference Austria (DHA17)}},
	keywords     = {further}
}
@inproceedings{larl:cl:2017,
	title        = {{Geolocating German on Twitter - Hitches and Glitches of Building and Exploring a Twitter Corpus}},
	author       = {Larl, Bettina and Zangerle, Eva},
	year         = 2017,
	booktitle    = {{9th International Corpus Linguistics Conference}},
	keywords     = {further}
}
@inproceedings{murauer:hicss:2017,
	title        = {{A Peer-Based Approach on Analyzing Hacked Twitter Accounts}},
	author       = {Murauer, Benjamin and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2017,
	booktitle    = {{Proceedings of the 50th Hawaii International Conference on System Sciences}},
	publisher    = {{IEEE}},
	series       = {HICSS '17},
	pages        = {1841--1850},
	keywords     = {further}
}
@inproceedings{murauer:mediaeval:2017,
	title        = {{Hierarchical Multilabel Classification and Voting for Genre Classification}},
	author       = {Murauer, Benjamin and Mayerl, Maximilian and Tschuggnall, Michael and Zangerle, Eva and Pichl, Martin and Specht, G\"{u}nther},
	year         = 2017,
	booktitle    = {{Working Notes Proceedings of the MediaEval 2017 Workshop}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 1984,
	keywords     = {further}
}
@inproceedings{pichl:icmr:2017,
	title        = {{Improving Context-Aware Music Recommender Systems: Beyond the Pre-filtering Approach}},
	author       = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2017,
	booktitle    = {{Proceedings of the 2017 ACM International Conference on Multimedia Retrieval}},
	publisher    = {ACM},
	series       = {ICMR '17},
	pages        = {201--208},
	doi          = {10.1145/3078971.3078980}
}
@article{pichl:ijmdem:2017,
	title        = {{Understanding User-curated Playlists on Spotify: A Machine Learning Approach}},
	author       = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2017,
	journal      = {{International Journal of Multimedia Data Engineering and Management}},
	volume       = 8,
	number       = 4,
	pages        = {44--59},
	doi          = {10.4018/IJMDEM.2017100103},
	keywords     = {further}
}
@inproceedings{pichl:ism:2017,
	title        = {{Mining Culture-Specific Music Listening Behavior from Social Media Data}},
	author       = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther and Schedl, Markus},
	year         = 2017,
	booktitle    = {{2017 IEEE International Symposium on Multimedia}},
	series       = {ISM '17},
	pages        = {208--215},
	doi          = {10.1109/ISM.2017.35},
	organization = {IEEE},
	keywords     = {further}
}
@inproceedings{zangerle:dha:2017,
	title        = {{Analyzing Coherent Characteristics in Music Playlists}},
	author       = {Zangerle, Eva and Tschuggnall, Michael and Specht, G\"{u}nther},
	year         = 2017,
	booktitle    = {{4th Digital Humanities Conference Austria (DHA17)}},
	keywords     = {further}
}
@inproceedings{larl:cmc:2016,
	title        = {{Geolocating German on Twitter Hitches and Glitches of Building and Exploring a Twitter Corpus}},
	author       = {Larl, Bettina and Zangerle, Eva},
	year         = 2016,
	booktitle    = {{4th Conference on CMC and Social Media Corpora for the Humanities}},
	keywords     = {further}
}
@inproceedings{pichl:ism:2016,
	title        = {{Understanding Playlist Creation on Music Streaming Platforms}},
	author       = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2016,
	booktitle    = {{IEEE International Symposium on Multimedia}},
	publisher    = {{IEEE}},
	series       = {ISM '16},
	pages        = {475--480},
	doi          = {10.1109/ISM.2016.0107},
	keywords     = {further}
}
@inproceedings{zangerle:hicss:2016,
	title        = {{Analysing the Usage of Wikipedia on Twitter: Understanding Inter-Language Links}},
	author       = {Zangerle, Eva and Schmidhammer, Georg and Specht, G\"{u}nther},
	year         = 2016,
	booktitle    = {{49th Hawaii International Conference on System Sciences}},
	publisher    = {{IEEE}},
	series       = {HICSS '16},
	pages        = {1920--1929},
	doi          = {10.1109/HICSS.2016.243},
	keywords     = {further}
}
@article{zangerle:hmd:2016,
	title        = {{SentiStorm: Realtime Sentiment Detection von Tweets}},
	author       = {Zangerle, Eva and Illecker, Martin and Specht, G\"{u}nther},
	year         = 2016,
	journal      = {{HMD Praxis der Wirtschaftsinformatik}},
	volume       = 53,
	number       = 4,
	pages        = {514--529},
	doi          = {10.1365/s40702-016-0237-6},
	keywords     = {further}
}
@inproceedings{zangerle:ismir:2016,
	title        = {{Can Microblogs Predict Music Charts? An Analysis of the Relationship between \#Nowplaying Tweets and Music Charts}},
	author       = {Zangerle, Eva and Pichl, Martin and Hupfauf, Benedikt and Specht, G\"{u}nther},
	year         = 2016,
	booktitle    = {{Proceedings of the 17th International Society for Music Information Retrieval Conference}},
	publisher    = {{ISMIR}},
	series       = {ISMIR '16},
	keywords     = {further}
}
@inproceedings{zangerle:opensym:2016,
	title        = {{An Empirical Evaluation of Property Recommender Systems for Wikidata and Collaborative Knowledge Bases}},
	author       = {Zangerle, Eva and Gassler, Wolfgang and Steinhauser, Stefan and Specht, G\"{u}nther},
	year         = 2016,
	booktitle    = {{Proceedings of the 12th International Symposium on Open Collaboration}},
	publisher    = {ACM},
	series       = {OpenSym '16},
	doi          = {10.1145/2957792.2957804},
	keywords     = {further}
}
@inproceedings{pichl:somera:2015,
	title        = {{Towards a Context-Aware Music Recommendation Approach: What is Hidden in the Playlist Name?}},
	author       = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2015,
	booktitle    = {{15th IEEE International Conference on Data Mining Workshops}},
	publisher    = {{IEEE}},
	series       = {ICDM '15},
	pages        = {1360--1365},
	doi          = {10.1109/ICDMW.2015.145},
	keywords     = {further}
}
@inproceedings{pichl:sowemine:2015,
	title        = {{\#nowplaying on \#Spotify: Leveraging Spotify Information on Twitter for Artist Recommendations}},
	author       = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2015,
	booktitle    = {{Current Trends in Web Engineering, 15th International Conference, ICWE 2015 Workshops (Revised Selected Papers)}},
	publisher    = {Springer},
	pages        = {163--174},
	doi          = {10.1007/978-3-319-24800-4_14},
	keywords     = {further}
}
@inproceedings{zangerle:opensym:2015,
	title        = {{\#Wikipedia on Twitter: Analyzing Tweets About Wikipedia}},
	author       = {Zangerle, Eva and Schmidhammer, Georg and Specht, G\"{u}nther},
	year         = 2015,
	booktitle    = {{Proceedings of the 11th International Symposium on Open Collaboration}},
	publisher    = {{ACM}},
	series       = {OpenSym '15},
	pages        = {14:1--14:8},
	doi          = {10.1145/2788993.2789845},
	keywords     = {further}
}
@article{gassler:fgcs:2014,
	title        = {{Guided Curation of Semistructured Data in Collaboratively-built Knowledge Bases}},
	author       = {Gassler, Wolfgang and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2014,
	journal      = {{Journal on Future Generation Computer Systems}},
	publisher    = {{Elsevier}},
	volume       = 31,
	pages        = {111--119},
	doi          = {10.1016/j.future.2013.05.008},
	keywords     = {further}
}
@inproceedings{pichl:gvdb:2014,
	title        = {{Combining Spotify and Twitter Data for Generating a Recent and Public Dataset for Music Recommendation}},
	author       = {Pichl, Martin and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2014,
	booktitle    = {{Proceedings of the 26nd Workshop Grundlagen von Datenbanken (GvDB 2014)}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 1313,
	pages        = {35--40},
	keywords     = {further}
}
@inproceedings{zangerle:cybercrime:2014,
	title        = {{Cybercrime on Twitter: Shifting the User Back into Focus}},
	author       = {Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2014,
	booktitle    = {{Proceedings of the WebScience Cybercrime / Cyberwar Workshop, co-located with WebSci14}},
	keywords     = {further}
}
@inproceedings{zangerle:ismm:2014,
	title        = {{\#nowplaying Music Dataset: Extracting Listening Behavior from Twitter}},
	author       = {Zangerle, Eva and Pichl, Martin and Gassler, Wolfgang and Specht, G\"{u}nther},
	year         = 2014,
	booktitle    = {{Proceedings of the 1st ACM International Workshop on Internet-Scale Multimedia Management}},
	publisher    = {{ACM}},
	series       = {ISMM '14},
	pages        = {21--26},
	doi          = {10.1145/2661714.2661719},
	keywords     = {further}
}
@inproceedings{zangerle:sac:2014,
	title        = {{“Sorry, I was hacked": A Classification of Compromised Twitter Accounts}},
	author       = {Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2014,
	booktitle    = {{Proceedings of the 29th ACM Symposium on Applied Computing}},
	publisher    = {{ACM}},
	series       = {SAC '14},
	pages        = {587--593},
	doi          = {10.1145/2554850.2554894},
	keywords     = {further}
}
@article{zangerle:snam:2013,
	title        = {{On the impact of text similarity functions on hashtag recommendations in microblogging environments}},
	author       = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"{u}nther},
	year         = 2013,
	journal      = {{Social Network Analysis and Mining}},
	publisher    = {{Springer}},
	volume       = 3,
	number       = 4,
	pages        = {889--898},
	doi          = {10.1007/s13278-013-0108-x},
	keywords     = {further}
}
@inproceedings{gassler:www:2012,
	title        = {{SnoopyTagging: Recommending Contextualized Tags to Increase the Quality and Quantity of Meta-Information}},
	author       = {Gassler, Wolfgang and Zangerle, Eva and B\"{u}rgler, Martin and Specht, G\"{u}nther},
	year         = 2012,
	booktitle    = {{Proceedings of the 21st International Conference on the World Wide Web}},
	pages        = {511--512},
	doi          = {10.1145/2187980.2188102}
}
@incollection{zangerle:collsemweb:2012,
	title        = {{Dealing with Structure Heterogeneity in Semantic Collaborative Environments}},
	author       = {Zangerle, Eva and Gassler, Wolfgang},
	year         = 2012,
	booktitle    = {{Collaboration and the Semantic Web: Social Networks, Knowledge Networks and Knowledge Resources}},
	publisher    = {{IGI Publishers}},
	doi          = {10.4018/978-1-4666-0894-8}
}
@inproceedings{zangerle:msm:2012,
	title        = {{Exploiting Twitter's Collective Knowledge for Music Recommendations}},
	author       = {Eva Zangerle and Wolfgang Gassler and Günther Specht},
	year         = 2012,
	booktitle    = {Proceedings of the 2nd Workshop on Making Sense of Microposts (\#MSM2012): Big things come in small packages},
	publisher    = {CEUR-WS.org},
	series       = {{CEUR} Workshop Proceedings},
	volume       = 838,
	pages        = {14--17}
}
@inproceedings{binna:gvdb:2011,
	title        = {{SpiderStore: A Native Main Memory Approach for Graph Storage}},
	author       = {Binna, Robert and Zangerle, Eva and Gassler, Wolfgang and Pacher, Dominic and Specht, G\"{u}nther},
	year         = 2011,
	booktitle    = {{Proceedings of the 23nd Workshop Grundlagen von Datenbanken}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 733
}
@inproceedings{gassler:cts:2011,
	title        = {{The Snoopy Concept: Fighting Heterogeneity in Semistructured and Collaborative Information Systems by using Recommendations}},
	author       = {Gassler, Wolfgang and Zangerle, Eva and Specht, G\"{u}nther},
	year         = 2011,
	booktitle    = {{The 2011 International Conference on Collaboration Technologies and Systems}},
	pages        = {61--68},
	doi          = {10.1109/CTS.2011.5928666}
}
@proceedings{gassler:gvdb:2011,
	title        = {{Proceedings of the 23rd GI-Workshop on Grundlagen von Datenbanken}},
	year         = 2011,
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 733,
	editor       = {Gassler, Wolfgang and Zangerle, Eva and Specht, G\"{u}nther}
}
@misc{larcher:hypertext:2011,
	title        = {{Key Recommendations for Infoboxes in Wikipedia}},
	author       = {Larcher, Alexander and Zangerle, Eva and Gassler, Wolfgang and Specht, G\"{u}nther},
	year         = 2011,
	howpublished = {22nd ACM Conference on Hypertext and Hypermedia (Poster)}
}
@inproceedings{zangerle:sasweb:2011,
	title        = {{Recommending \#-tags in Twitter}},
	author       = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"{u}nther},
	year         = 2011,
	booktitle    = {{Proceedings of the Workshop on Semantic Adaptive Social Web 2011 in Connection with the 19th International Conference on User Modeling, Adaptation and Personalization (UMAP)}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 730,
	pages        = {67--78}
}
@inproceedings{zangerle:socinfo:2011,
	title        = {{Using Tag Recommendations to Homogenize Folksonomies in Microblogging Environments}},
	author       = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"{u}nther},
	year         = 2011,
	booktitle    = {{Proceedings of the Third International Conference on Social Informatics (SocInfo)}},
	publisher    = {Springer},
	series       = {{Lecture Notes in Computer Science}},
	pages        = {113--126},
	doi          = {10.1007/978-3-642-24704-0_16}
}
@inproceedings{binna:semdata:2010,
	title        = {{SpiderStore: Exploiting Main Memory for Efficient RDF Graph Representation and Fast Querying}},
	author       = {Binna, Robert and Gassler, Wolfgang and Zangerle, Eva and Pacher, Dominic and Specht, G\"{u}nther},
	year         = 2010,
	booktitle    = {{Proceedings of the 1st International Workshop on Semantic Data Management (SemData) at the 36th International Conference on Very Large Data Bases (VLDB 2010)}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 637
}
@inproceedings{gassler:gvdb:2010,
	title        = {{Recommendation-Based Evolvement of Dynamic Schemata in Semistructured Information Systems}},
	author       = {Gassler, Wolfgang and Zangerle, Eva},
	year         = 2010,
	booktitle    = {{Proceedings of the 22nd Workshop Grundlagen von Datenbanken (GvDB 2010)}},
	publisher    = {CEUR-WS.org},
	series       = {CEUR Workshop Proceedings},
	volume       = 581
}
@inproceedings{zangerle:ht:2010,
	title        = {{SnoopyDB: Narrowing the Gap between Structured and Unstructured Information using Recommendations}},
	author       = {Zangerle, Eva and Gassler, Wolfgang and Tschuggnall, Michael and Specht, G\"{u}nther},
	year         = 2010,
	booktitle    = {{Proceedings of the 21st ACM Conference on Hypertext and Hypermedia}},
	series       = {HT'10},
	pages        = {271--272},
	doi          = {10.1145/1810617.1810670}
}
@inproceedings{zangerle:recsys:2010,
	title        = {{Recommending Structure in Collaborative Semistructured Information Systems}},
	author       = {Zangerle, Eva and Gassler, Wolfgang and Specht, G\"{u}nther},
	year         = 2010,
	booktitle    = {{Proceedings of the 3rd ACM Conference on Recommender Systems}},
	publisher    = {{ACM}},
	series       = {RecSys '10},
	pages        = {141--145},
	doi          = {10.1145/1864708.1864762}
}