Yehuda Koren
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Yehuda Koren is a person.
- See: Collaborative Filtering, Temporal Data Modeling, Alternating Least Squares, Recommender System Evaluation.
References
2019
- (Rendle et al., 2019) ⇒ Steffen Rendle, Li Zhang, and Yehuda Koren. (2019). “On the Difficulty of Evaluating Baselines: A Study on Recommender Systems.” In: arXiv preprint arXiv:1905.01395.
2015
- (Koren & Bell, 2015) ⇒ Yehuda Koren, and Robert Bell. (2015). “Advances in Collaborative Filtering.” In: Recommender Systems Handbook, pp. 77-118.
2012
- (Halawi et al., 2012) ⇒ Guy Halawi, Gideon Dror, Evgeniy Gabrilovich, and Yehuda Koren. (2012). “Large-scale Learning of Word Relatedness with Constraints.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339751
2010
- (Koren, 2010) ⇒ Yehuda Koren. (2010). “Collaborative Filtering with Temporal Dynamics.” In: Communications of the ACM Journal, 53(4). doi:10.1145/1721654.1721677
2009
- (Koren et al., 2009a) ⇒ Yehuda Koren, R. M. Bell, and Chris Volinsky. (2009). “Matrix Factorization Techniques for Recommender Systems.” In: IEEE Computer - COMPUTER, 42(8).
- (Koren, 2009) ⇒ Yehuda Koren. (2009). “Collaborative Filtering with Temporal Dynamics.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557072
2008
- (Koren, 2008) ⇒ Yehuda Koren. (2008). “Factorization Meets the Neighborhood: A Multifaceted Collaborative Filtering Model.” In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2008). doi:10.1145/1401890.1401944
- (Bell et al., 2008) ⇒ Robert M. Bell, Yehuda Koren, and Chris Volinsky. (2008). “The bellkor 2008 Solution to the Netflix Prize.” In: Statistics Research Department at AT&T Research.
- (Hu et al., 2008) ⇒ Yifan Hu, Yehuda Koren, and Chris Volinsky. (2008). “Collaborative Filtering for Implicit Feedback Datasets.” In: Proceedings of the 2008 Eighth IEEE International Conference on Data Mining. ISBN:978-0-7695-3502-9 doi:10.1109/ICDM.2008.22