| 1 |
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Global and Personalized Graphs for Heterogeneous Sequential Recommendation by Learning Behavior Transitions and User Intentions |
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0 |
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Li Chen, Mingkai He, Weike Pan, Weixin Chen, Yongxin Ni, Zhong Ming |
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| 2 |
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Aspect Re-distribution for Learning Better Item Embeddings in Sequential Recommendation |
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0 |
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Congfu Xu, Jingwen Mao, Wei Cai, Weike Pan, Zhechao Yu |
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| 3 |
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Query Attribute Recommendation at Amazon Search |
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0 |
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Bing Yin, Chen Luo, Haiyang Zhang, Haoming Jiang, Neela Avudaiappan, Qingyu Yin, Rahul Goutam, Tianyu Cao, William Headden, Yifan Gao, Zheng Li |
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| 4 |
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M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations |
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0 |
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Amir Afsharinejad, Sejoon Oh, Srijan Kumar, Walid Shalaby, Xiquan Cui |
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| 5 |
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Dynamic Surrogate Switching: Sample-Efficient Search for Factorization Machine Configurations in Online Recommendations |
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0 |
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Adi Schwartz, Blaz Skrlj, Davorin Kopic, Jure Ferlez, Naama Ziporin |
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| 6 |
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Augmenting Netflix Search with In-Session Adapted Recommendations |
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0 |
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Moumita Bhattacharya, Sudarshan Lamkhede |
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| 7 |
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Effective and Efficient Training for Sequential Recommendation using Recency Sampling |
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0 |
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Aleksandr Petrov, Craig Macdonald |
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| 8 |
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BRUCE: Bundle Recommendation Using Contextualized item Embeddings |
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0 |
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Amit Livne, Bracha Shapira, Mark Last, Oren Sar Shalom, Tzoof Avny Brosh |
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| 9 |
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CAEN: A Hierarchically Attentive Evolution Network for Item-Attribute-Change-Aware Recommendation in the Growing E-commerce Environment |
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0 |
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Huafeng Yang, Jiandong Zhang, Jingsong Yuan, Ning Liu, Rui Ma |
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| 10 |
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Rethinking Personalized Ranking at Pinterest: An End-to-End Approach |
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0 |
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Andrew Zhai, Charles Rosenberg, Jiajing Xu |
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| 11 |
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Challenges in Translating Research to Practice for Evaluating Fairness and Bias in Recommendation Systems |
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0 |
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Dan Taber, Henriette Cramer, Lex Beattie |
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| 12 |
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Matching Theory-based Recommender Systems in Online Dating |
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0 |
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Daisuke Moriwaki, Riku Togashi, Yoji Tomita |
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| 13 |
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Defending Substitution-Based Profile Pollution Attacks on Sequential Recommenders |
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0 |
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Dong Wang, Huimin Zeng, Lanyu Shang, Zhenrui Yue, Ziyi Kou |
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| 14 |
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Context and Attribute-Aware Sequential Recommendation via Cross-Attention |
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0 |
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Ahmed Rashed, Lars SchmidtThieme, Shereen Elsayed |
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| 15 |
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Denoising Self-Attentive Sequential Recommendation |
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0 |
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ChinChia Michael Yeh, Fei Wang, Hao Yang, Huiyuan Chen, Lan Wang, Menghai Pan, Xiaoting Li, Yan Zheng, Yusan Lin |
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| 16 |
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RADio - Rank-Aware Divergence Metrics to Measure Normative Diversity in News Recommendations |
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0 |
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Daan Odijk, Gabriel Bénédict, Maarten de Rijke, Mateo Gutierrez Granada, Sanne Vrijenhoek |
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| 17 |
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Exploiting Negative Preference in Content-based Music Recommendation with Contrastive Learning |
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0 |
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Kyogu Lee, Minju Park |
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| 18 |
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Bundle MCR: Towards Conversational Bundle Recommendation |
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0 |
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Fan Du, Handong Zhao, Julian J. McAuley, Sungchul Kim, Tong Yu, Zhankui He |
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| 19 |
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Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales |
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0 |
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Bodhisattwa Prasad Majumder, Julian J. McAuley, Shuyang Li |
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| 20 |
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Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5) |
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0 |
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Shijie Geng, Shuchang Liu, Yingqiang Ge, Yongfeng Zhang, Zuohui Fu |
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| 21 |
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MARRS: A Framework for multi-objective risk-aware route recommendation using Multitask-Transformer |
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0 |
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Bhumika, Debasis Das |
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| 22 |
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A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation |
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0 |
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Aleksandr Petrov, Craig Macdonald |
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| 23 |
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Merlin HugeCTR: GPU-accelerated Recommender System Training and Inference |
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0 |
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Daniel G. Abel, Fan Yu, Ji Shi, Jianbing Dong, Jie Liu, Kunlun Li, Matthias Langer, Minseok Lee, Shijie Liu, Xu Guo, Yingcan Wei, Zehuan Wang |
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| 24 |
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Knowledge-aware Recommendations Based on Neuro-Symbolic Graph Embeddings and First-Order Logical Rules |
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0 |
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Cataldo Musto, Giovanni Semeraro, Giuseppe Spillo, Marco de Gemmis, Pasquale Lops |
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| 25 |
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CONSEQUENCES - Causality, Counterfactuals and Sequential Decision-Making for Recommender Systems |
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0 |
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Flavian Vasile, Harrie Oosterhuis, Olivier Jeunen, Thorsten Joachims, Yuta Saito |
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| 26 |
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Neural Re-ranking for Multi-stage Recommender Systems |
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0 |
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Bo Chen, Jiarui Qin, Ruiming Tang, Weiwen Liu |
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| 27 |
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Conversational Recommender System Using Deep Reinforcement Learning |
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0 |
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Omprakash Sonie |
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| 28 |
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Pursuing Optimal Trade-Off Solutions in Multi-Objective Recommender Systems |
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0 |
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Vincenzo Paparella |
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| 29 |
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Modeling User Repeat Consumption Behavior for Online Novel Recommendation |
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0 |
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Cunxiang Yin, Guoqiang Xu, Jing Cai, Leeven Luo, Shenghua Zhong, Yancheng He, Yuncong Li |
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| 30 |
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Learning Recommendations from User Actions in the Item-poor Insurance Domain |
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0 |
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Christina Lioma, Maria Maistro, Simone Borg Bruun |
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| 31 |
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Exploring the Impact of Temporal Bias in Point-of-Interest Recommendation |
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0 |
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Ali Tourani, Hossein A. Rahmani, Mohammadmehdi Naghiaei, Yashar Deldjoo |
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| 32 |
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Fast and Accurate User Cold-Start Learning Using Monte Carlo Tree Search |
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0 |
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Dilina Chandika Rajapakse, Douglas J. Leith |
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| 33 |
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Streaming Session-Based Recommendation: When Graph Neural Networks meet the Neighborhood |
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0 |
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Dietmar Jannach, Sara Latifi |
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| 34 |
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A Lightweight Transformer for Next-Item Product Recommendation |
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0 |
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Cole Zuber, M. Jeffrey Mei, Yasaman Khazaeni |
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| 35 |
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RecPack: An(other) Experimentation Toolkit for Top-N Recommendation using Implicit Feedback Data |
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0 |
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Bart Goethals, Lien Michiels, Robin Verachtert |
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| 36 |
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A User-Centered Investigation of Personal Music Tours |
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0 |
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Derek G. Bridge, Giovanni Gabbolini |
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| 37 |
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Don't recommend the obvious: estimate probability ratios |
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0 |
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Iain Murray, Roberto Pellegrini, Wenjie Zhao |
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| 38 |
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Solving Diversity-Aware Maximum Inner Product Search Efficiently and Effectively |
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0 |
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Daichi Amagata, Kohei Hirata, Sumio Fujita, Takahiro Hara |
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| 39 |
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Revisiting the Performance of iALS on Item Recommendation Benchmarks |
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0 |
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Li Zhang, Steffen Rendle, Walid Krichene, Yehuda Koren |
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| 40 |
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EANA: Reducing Privacy Risk on Large-scale Recommendation Models |
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0 |
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Devora Berlowitz, Lin Ning, Mei Chen, Shuang Song, Steve Chien, Yunqi Xue |
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| 41 |
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A GPU-specialized Inference Parameter Server for Large-Scale Deep Recommendation Models |
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0 |
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Fan Yu, Ji Shi, Jie Liu, Matthias Langer, Minseok Lee, Yingcan Wei, Zehuan Wang |
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| 42 |
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Personalizing Benefits Allocation Without Spending Money: Utilizing Uplift Modeling in a Budget Constrained Setup |
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0 |
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Dmitri Goldenberg, Javier Albert |
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| 43 |
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TorchRec: a PyTorch Domain Library for Recommendation Systems |
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0 |
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Anirudh Sudarshan, Colin Taylor, Dennis Van Der Staay, Dmytro Ivchenko, Rahul Kindi, Shahin Sefati, Will Feng, Xing Liu |
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| 44 |
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An Incremental Learning framework for Large-scale CTR Prediction |
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0 |
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Dimitrios Mallis, Gil Chamiel, Nikiforos Mandilaras, Petros Katsileros, Stavros Theodorakis, Vassilis Pitsikalis |
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| 45 |
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Optimizing product recommendations for millions of merchants |
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0 |
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Chen Karako, Kim Falk |
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| 46 |
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Two-Layer Bandit Optimization for Recommendations |
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0 |
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Humeyra Topcu Altintas, Puja Das, Qifeng Chen, Siyong Ma, Sofia Maria Nikolakaki |
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| 47 |
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Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering |
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0 |
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Aditya Joshi, Chin Lin Wong, Diego Marinho de Oliveira, Farhad Zafari, Fernando Mourão, Sabir Ribas, Saumya Pandey |
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| 48 |
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Position Awareness Modeling with Knowledge Distillation for CTR Prediction |
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0 |
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Changping Peng, Congcong Liu, Fei Teng, Jian Zhu, Jingping Shao, Xiwei Zhao, Yuejiang Li, Zhangang Lin |
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| 49 |
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The Effect of Feedback Granularity on Recommender Systems Performance |
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0 |
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Ladislav Peska, Stepán Balcar |
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| 50 |
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Hands-on Reinforcement Learning for Recommender Systems - From Bandits to SlateQ to Offline RL with Ray RLlib |
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0 |
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Christy D. Bergman, Kourosh Hakhamaneshi |
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| 51 |
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Long-term fairness for Group Recommender Systems with Large Groups |
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0 |
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Patrik Dokoupil |
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| 52 |
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Heterogeneous Graph Representation Learning for multi-target Cross-Domain Recommendation |
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0 |
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Tendai Mukande |
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| 53 |
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RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18 - 23, 2022 |
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0 |
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Bracha Shapira, Even Oldridge, F. Maxwell Harper, Jennifer Golbeck, Justin Basilico, Keld T. Lundgaard, Michael D. Ekstrand, Vanessa Murdock |
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| 54 |
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Multi-Modal Dialog State Tracking for Interactive Fashion Recommendation |
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0 |
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Craig Macdonald, Iadh Ounis, Yaxiong Wu |
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| 55 |
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Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity |
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0 |
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CaroleJean Wu, Haiyu Lu, John Nguyen, Kiwan Maeng, Luca Melis, Mike Rabbat |
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| 56 |
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Reducing Cross-Topic Political Homogenization in Content-Based News Recommendation |
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0 |
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Aron Culotta, Karthik Shivaram, Matthew A. Shapiro, Mustafa Bilgic, Ping Liu |
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| 57 |
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ProtoMF: Prototype-based Matrix Factorization for Effective and Explainable Recommendations |
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0 |
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Alessandro B. Melchiorre, Christian Ganhör, Markus Schedl, Navid Rekabsaz |
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| 58 |
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TinyKG: Memory-Efficient Training Framework for Knowledge Graph Neural Recommender Systems |
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0 |
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ChinChia Michael Yeh, Hao Yang, Huiyuan Chen, Kaixiong Zhou, Xia Hu, Xiaoting Li, Yan Zheng |
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| 59 |
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Learning to Ride a Buy-Cycle: A Hyper-Convolutional Model for Next Basket Repurchase Recommendation |
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0 |
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Nir Zabari, Noam Koenigstein, Oren Barkan, Ori Katz |
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| 60 |
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Off-Policy Actor-critic for Recommender Systems |
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0 |
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Aviral Kumar, Can Xu, Devanshu Jain, Ed H. Chi, Minmin Chen, Vince Gatto |
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| 61 |
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Adversary or Friend? An adversarial Approach to Improving Recommender Systems |
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0 |
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Dario GarcíaGarcía, Pannaga Shivaswamy |
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| 62 |
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Reusable Self-Attention Recommender Systems in Fashion Industry Applications |
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0 |
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Ana PeleteiroRamallo, Jacek Wasilewski, Marjan Celikik |
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| 63 |
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Flow Moods: Recommending Music by Moods on Deezer |
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0 |
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Benjamin Chapus, François Rigaud, Guillaume SalhaGalvan, Marin Lorant, Mathieu Morlon, Théo Bontempelli |
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| 64 |
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Recommending for a multi-sided marketplace with heterogeneous contents |
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0 |
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Long Tao, XianXing Zhang, Yuyan Wang |
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| 65 |
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Taxonomic Recommendations of Real Estate Properties with Textual Attribute Information |
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0 |
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Anish Khazane, Zachary Harrison |
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| 66 |
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A Multi-Stakeholder Recommender System for Rewards Recommendations |
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0 |
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Anna Leontjeva, Callum Scott, Luiz Pizzato, Naime Ranjbar Kermany, Thireindar Min |
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| 67 |
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Recommendations: They're in fashion |
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0 |
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Carlos Carvalheira, Diogo Gonçalves, Tiago Lacerda |
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| 68 |
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Timely Personalization at Peloton: A System and Algorithm for Boosting Time-Relevant Content |
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0 |
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Allison Schloss, Arnab Bhadury, Jasmine Paulino, Nilothpal Talukder, Shayak Banerjee, Shoya Yoshida, Vijay Pappu |
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| 69 |
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Client Time Series Model: a Multi-Target Recommender System based on Temporally-Masked Encoders |
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0 |
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Dirk Sierag, Kevin Zielnicki |
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| 70 |
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Recommendation Systems for Ad Creation: A View from the Trenches |
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0 |
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Manisha Verma, Shaunak Mishra |
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| 71 |
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Do Recommender Systems Make Social Media More Susceptible to Misinformation Spreaders? |
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0 |
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Antonela Tommasel, Filippo Menczer |
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| 72 |
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Measuring Commonality in Recommendation of Cultural Content: Recommender Systems to Enhance Cultural Citizenship |
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0 |
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Andres Ferraro, Fernando Diaz, Georgina Born, Gustavo Ferreira |
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| 73 |
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Towards Recommender Systems with Community Detection and Quantum Computing |
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0 |
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Costantino Carugno, Maurizio Ferrari Dacrema, Paolo Cremonesi, Riccardo Nembrini |
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| 74 |
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Recommender Systems and Algorithmic Hate |
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0 |
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Jessie J. Smith, Lucia Jayne, Robin Burke |
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| 75 |
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Scalable Linear Shallow Autoencoder for Collaborative Filtering |
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0 |
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Pavel Kordík, Petr Kasalický, Rodrigo Alves, Vojtech Vancura |
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| 76 |
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Towards the Evaluation of Recommender Systems with Impressions |
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0 |
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Fernando Benjamín Pérez Maurera, Maurizio Ferrari Dacrema, Paolo Cremonesi |
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| 77 |
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Multiobjective Evaluation of Reinforcement Learning Based Recommender Systems |
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0 |
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Alexey Grishanov, Anastasia Ianina, Konstantin V. Vorontsov |
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| 78 |
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DAGFiNN: A Conversational Conference Assistant |
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0 |
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Ekaterina Khlybova, Eyvinn Thu Dørheim, Hengameh Hosseini, Ivica Kostric, Krisztian Balog, Narmin Orujova, Nolwenn Bernard, Pholit Hantula, Rune Henriksen, Sander HavnSørensen, Sindre Ekrheim Mosand, Tølløv Alexander Aresvik, Weronika Lajewska |
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| 79 |
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Building and Deploying a Multi-Stage Recommender System with Merlin |
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0 |
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Even Oldridge, Gabriel de Souza Pereira Moreira, Karl Higley, Ronay Ak, Sara Rabhi |
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| 80 |
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RepSys: Framework for Interactive Evaluation of Recommender Systems |
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0 |
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Jan Safarík, Pavel Kordík, Vojtech Vancura |
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| 81 |
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HELPeR: An Interactive Recommender System for Ovarian Cancer Patients and Caregivers |
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0 |
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Behnam Rahdari, Daqing He, Khushboo Maulikmihir Thaker, Peter Brusilovsky, Young Ji Lee, Zhimeng Luo |
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| 82 |
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REVEAL 2022: Reinforcement Learning-Based Recommender Systems at Scale |
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0 |
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Maria Dimakopoulou, Paige Bailey, Richard Liaw, Ying Li, Yves Raimond |
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| 83 |
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Tutorial on Offline Evaluation for Group Recommender Systems |
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0 |
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Amra Delic, Francesco Barile, Ladislav Peska |
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| 84 |
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Training and Deploying Multi-Stage Recommender Systems |
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0 |
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Benedikt Schifferer, Gabriel de Souza Pereira Moreira, Ronay Ak, Sara Rabhi |
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| 85 |
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Improving Recommender Systems with Human-in-the-Loop |
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0 |
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Dmitry Ustalov, Natalia Fedorova, Nikita Pavlichenko |
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| 86 |
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Hands on Explainable Recommender Systems with Knowledge Graphs |
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0 |
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Giacomo Balloccu, Gianni Fenu, Ludovico Boratto, Mirko Marras |
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| 87 |
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Psychology-informed Recommender Systems Tutorial |
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0 |
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Elisabeth Lex, Markus Schedl |
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| 88 |
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KA-Recsys: Knowledge Appropriate Patient Focused Recommendation Technologies |
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0 |
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Khushboo Thaker |
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| 89 |
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An Interpretable Neural Network Model for Bundle Recommendations: Doctoral Symposium, Extended Abstract |
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0 |
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Edward C. Malthouse, Xinyi Li |
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| 90 |
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Developing a Human-Centered Framework for Transparency in Fairness-Aware Recommender Systems |
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0 |
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Jessie J. Smith |
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| 91 |
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Fair Ranking Metrics |
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0 |
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Amifa Raj |
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| 92 |
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Enhancing Counterfactual Evaluation and Learning for Recommendation Systems |
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0 |
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Nicolò Felicioni |
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| 93 |
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Exploring the longitudinal effects of nudging on users' music genre exploration behavior and listening preferences |
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0 |
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Martijn C. Willemsen, Yu Liang |
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| 94 |
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Evaluation Framework for Cold-Start Techniques in Large-Scale Production Settings |
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0 |
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Moran Haham |
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| 95 |
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Identifying New Podcasts with High General Appeal Using a Pure Exploration Infinitely-Armed Bandit Strategy |
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0 |
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Alice Wang, Hugues Bouchard, Javed A. Aslam, Jesse Anderton, Kevin Jamieson, Maryam Aziz |
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| 96 |
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Exploration with Model Uncertainty at Extreme Scale in Real-Time Bidding |
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0 |
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Davorin Kopic, Jan Hartman |
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| 97 |
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Estimating Long-term Effects from Experimental Data |
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0 |
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Lihong Li, Stephanie Zhang, Steven Zhu, Yiheng Duan, Ziyang Tang |
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| 98 |
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Who do you think I am? Interactive User Modelling with Item Metadata |
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0 |
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Bart Goethals, Joey De Pauw, Koen Ruymbeek |
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| 99 |
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Countering Popularity Bias by Regularizing Score Differences |
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0 |
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Bongwon Suh, Sung Min Cho, Wondo Rhee |
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| 100 |
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Dynamic Global Sensitivity for Differentially Private Contextual Bandits |
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0 |
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David Zhao, Hongning Wang, Huazheng Wang |
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| 101 |
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Learning Users' Preferred Visual Styles in an Image Marketplace |
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0 |
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Alessandra Sala, Lauren BurnhamKing, Raul Gomez Bruballa |
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| 102 |
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Discovery Dynamics: Leveraging Repeated Exposure for User and Music Characterization |
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0 |
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Bruno Sguerra, Romain Hennequin, VietAnh Tran |
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| 103 |
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"My AI must have been broken": How AI Stands to Reshape Human Communication |
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0 |
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Mor Naaman |
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| 104 |
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Co-designing ML Models with Data Activists |
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0 |
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Catherine D'Ignazio |
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| 105 |
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Towards Psychologically-Grounded Dynamic Preference Models |
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0 |
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Andreas A. Haupt, Benjamin Recht, Dylan HadfieldMenell, Mihaela Curmei |
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| 106 |
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Modeling Two-Way Selection Preference for Person-Job Fit |
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0 |
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Chen Yang, JiRong Wen, Tao Zhang, Wayne Xin Zhao, Yang Song, Yupeng Hou |
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| 107 |
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Fairness-aware Federated Matrix Factorization |
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0 |
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Amélie Marian, Shuchang Liu, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang |
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| 108 |
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Dual Attentional Higher Order Factorization Machines |
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0 |
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Arindam Sarkar, Dipankar Das, Prakash Mandayam Comar, Vivek Sembium |
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| 109 |
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You Say Factorization Machine, I Say Neural Network - It's All in the Activation |
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0 |
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Chen Almagor, Yedid Hoshen |
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| 110 |
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Translating the Public Service Media Remit into Metrics and Algorithms |
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0 |
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Andreas Grün, Xenija Neufeld |
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| 111 |
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Zillow: Volume Governing for Email and Push Messages |
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0 |
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Balasubramanian Thiagarajan, Eric Paul Nichols, Ruomeng Xu, Shruti Kamath |
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| 112 |
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Automate Page Layout Optimization: An Offline Deep Q-Learning Approach |
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0 |
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Wenyang Liu, Zhou Qin |
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| 113 |
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RecSys Challenge 2022: Fashion Purchase Prediction |
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0 |
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Abhishek Srivastava, Bruce Ferwerda, Donna North, Frederick Cheung, Nick Landia, Saikishore Kalloori |
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| 114 |
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Designing and evaluating explainable AI for non-AI experts: challenges and opportunities |
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0 |
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Katrien Verbert, Maxwell Szymanski, Vero Vanden Abeele |
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