Merge pull request #69 from TrueLearnAI/redact-info

Redact contributor and project information for double blind review

Author: KD-7

docs/authors.rst

@@ -1,8 +1,4 @@
 Authors and Contributors
 ------------------------
 
-`KD-7 <https://github.com/KD-7>`_,
-`yuxqiu <https://github.com/yuxqiu>`_,
-`sahanbull <https://github.com/sahanbull>`_,
-`deniselezi <https://github.com/deniselezi>`_,
-`aaneelshalman <https://github.com/aaneelshalman>`_,
+REDACTED for double-blind review.

docs/index.rst

@@ -49,48 +49,7 @@ See the :ref:`installation` for a quick introduction to the package.
 Related Papers
 --------------
 
-This work is related to the following papers:
-
-- `TrueLearn A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources`_ published at the Thirty-forth AAAI Conference on Artificial Intelligence, 2020 at New York, NY, USA. BibTex below::
-
-   @inproceedings{truelearn2020,
-       author = {Bulathwela, S. and Perez-Ortiz, M. and Yilmaz, E. and Shawe-Taylor, J.},
-       title={TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources},
-       booktitle = {AAAI Conference on Artificial Intelligence},
-       year = {2020}
-   }
-
-- `Power to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational Resources`_ published in 2022 as part of the Special Issue on AI and Interaction Technologies for Social Sustainability. BibTex below::
-
-   @Article{su141811682,
-      author = {Bulathwela, Sahan and Pérez-Ortiz, María and Yilmaz, Emine and Shawe-Taylor, John},
-      title = {Power to the Learner: Towards Human-Intuitive and Integrative Recommendations with Open Educational Resources},
-      journal = {Sustainability},
-      volume = {14},
-      year = {2022},
-      number = {18},
-      article-number = {11682},
-      url = {https://www.mdpi.com/2071-1050/14/18/11682},
-      ISSN = {2071-1050},
-      DOI = {10.3390/su141811682}
-   }
-
-
-
-- `PEEK: A Large Dataset of Learner Engagement with Educational Videos`_ published in 2021 as part of the 4th workshop on Online Recommender Systems and User Modeling at ACM RecSys 2021. BibTex below::
-
-   @article{DBLP:journals/corr/abs-2109-03154,
-       author = {Bulathwela, Sahan and Yilmaz, Emine and Shawe-Taylor, John},
-       title={PEEK: A Large Dataset of Learner Engagement with Educational Videos},
-       booktitle = {4th workshop on Online Recommender Systems and User Modeling at ACM RecSys 2021},
-       year = {2021}
-   }
-
-
-.. _TrueLearn A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources: https://arxiv.org/abs/1911.09471
-.. _Power to the Learner\: Towards Human-Intuitive and Integrative Recommendations with Open Educational Resources: https://www.mdpi.com/2071-1050/14/18/11682
-.. _PEEK\: A Large Dataset of Learner Engagement with Educational Videos: https://arxiv.org/abs/2109.03154
-
+REDACTED for double-blind review.
 
 .. include:: changelog.rst
 .. include:: authors.rst