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Research Area: Search Technologies, Machine Learning |
Profile
Yehuda Koren joined Yahoo! Research in September 2008. Prior to this, he was a member of AT&T Research since obtaining his PhD in Computer Science from The Weizmann Institute in 2003.
His research interests include recommender systems, spam filtering, and general data analysis and visualization. Yehuda led the team that won first awards in the Netflix Prize competition.
E-mail: FirstName AT yahoo-inc DOT com
Recent Publications, Projects and News
- The Million Dollar Programming Prize Robert Bell; Jim Bennett; Yehuda Koren; Chris Volinsky, IEEE Spectrum, IEEE, 2009
- Factor in the Neighbors: Scalable and Accurate Collaborative Filtering Yehuda Koren, Transactions on Knowledge Discovery from Data (TKDD), 2009 [view abstract]
- Collaborative Filtering with Temporal Dynamics Yehuda Koren, KDD 2009, ACM, 2009 [view abstract]
- Extending the Spring-Electrical Model to Overcome Warping Effects Yifan Hu; Yehuda Koren, IEEE Pacific Visualization Symposium 2009, IEEE, 2009 [view abstract]
- Factorization Meets the Neighborhood: a Multifaceted Collaborative Filtering Model Yehuda Koren, ACM Int. Conference on Knowledge Discovery and Data Mining (KDD'08), 2008 [view abstract]
- The Binary Stress Model for Graph Drawing Yehuda Koren; Ali Civril, Graph Drawing 2008, 2008 [view abstract]
- Collaborative Filtering for Implicit Feedback Datasets Yifan Hu; Yehuda Koren; Chris Volinsky, IEEE International Conference on Data Mining (ICDM 2008), IEEE, 2008 [view abstract]
- Modeling Relationships at Multiple Scales to Improve Accuracy of Large Recommender Systems Robert Bell; Yehuda Koren; Chris Volisnky, ACM Int. Conference on Knowledge Discovery and Data Mining (KDD'07), 2007 [view abstract]
- Lessons from the Netflix Prize Challenge Robert Bell; Yehuda Koren, SIGKDD Explorations, 2007, 2 [view abstract]
- Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights Robert Bell; Yehuda Koren, IEEE International Conference on Data Mining (ICDM 2007), 2007 [view abstract]
- Measuring and Extracting Proximity in Networks Yehuda Koren; Stephen North; Chris Volinsky, ACM Transactions on Knowledge Discovery from Data (TKDD), 2007, 3 [view abstract]
- Fast Direction-Aware Proximity for Graph Mining Hanghang Tong; Yehuda Koren; Christos Faloutsos, ACM Int. Conference on Knowledge Discovery and Data Mining (KDD'07), 2007 [view abstract]
- Chasing $1,000,000: How We Won The Netflix Progress Prize Robert Bell; Yehuda Koren; Chris volinsky, ASA Statistical and Computing Graphics Newsletter, 2007, 2