Yehuda Koren - RankMe

78 papers A* 16A 22B 4Misc 1Journal 22Unranked 7

Year	Rank	Type	Title / Venue / Authors
2022	—	`ch.`	Advances in Collaborative Filtering. Recommender Systems Handbook Yehuda Koren, Steffen Rendle, Robert M. Bell
2022	A	`conf`	Revisiting the Performance of iALS on Item Recommendation Benchmarks. RecSys Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2021	J	`jnl`	Revisiting the Performance of iALS on Item Recommendation Benchmarks. CoRR Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2021	J	`jnl`	iALS++: Speeding up Matrix Factorization with Subspace Optimization. CoRR Steffen Rendle, Walid Krichene, Li Zhang, Yehuda Koren
2019	J	`jnl`	On the Difficulty of Evaluating Baselines: A Study on Recommender Systems. CoRR Steffen Rendle, Li Zhang, Yehuda Koren
2015	—	`ch.`	Advances in Collaborative Filtering. Recommender Systems Handbook Yehuda Koren, Robert M. Bell
2014	A	`ed.`	Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014 RecSys Alfred Kobsa, Michelle X. Zhou, Martin Ester, Yehuda Koren
2013	A*	`conf`	Collaborative Filtering on Ordinal User Feedback. IJCAI Yehuda Koren, Joseph Sill
2013	A	`conf`	Expediting search trend detection via prediction of query counts. WSDM Nadav Golbandi, Liran Katzir, Yehuda Koren, Ronny Lempel
2013	A*	`ed.`	The 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2013, Chicago, IL, USA, August 11-14, 2013 KDD Inderjit S. Dhillon, Yehuda Koren, Rayid Ghani, Ted E. Senator, Paul Bradley, Rajesh Parekh, Jingrui He, Robert L. Grossman, Ramasamy Uthurusamy
2013	A	`conf`	Towards scalable and accurate item-oriented recommendations. RecSys Noam Koenigstein, Yehuda Koren
2012	A*	`conf`	Build your own music recommender by modeling internet radio streams. WWW Natalie Aizenberg, Yehuda Koren, Oren Somekh
2012	A*	`conf`	Care to comment?: recommendations for commenting on news stories. WWW Erez Shmueli, Amit Kagian, Yehuda Koren, Ronny Lempel
2012	A	`conf`	Dynamic personalized recommendation of comment-eliciting stories. RecSys Michal Aharon, Amit Kagian, Ronny Lempel, Yehuda Koren
2012	J	`jnl`	Guest Editorial for Special Issue KDD'10. ACM Trans. Knowl. Discov. Data Charles Elkan, Yehuda Koren
2012	A*	`conf`	Large-scale learning of word relatedness with constraints. KDD Guy Halawi, Gideon Dror, Evgeniy Gabrilovich, Yehuda Koren
2012	—	`ed.`	Proceedings of KDD Cup 2011 competition, San Diego, CA, USA, 2011 KDD Cup Gideon Dror, Yehuda Koren, Markus Weimer
2012	—	`conf`	The Yahoo! Music Dataset and KDD-Cup '11. KDD Cup Gideon Dror, Noam Koenigstein, Yehuda Koren, Markus Weimer
2012	J	`jnl`	Web-Scale Media Recommendation Systems. Proc. IEEE Gideon Dror, Noam Koenigstein, Yehuda Koren
2011	A	`conf`	Adaptive bootstrapping of recommender systems using decision trees. WSDM Nadav Golbandi, Yehuda Koren, Ronny Lempel
2011	—	`ch.`	Advances in Collaborative Filtering. Recommender Systems Handbook Yehuda Koren, Robert M. Bell
2011	A*	`conf`	Automatically tagging email by leveraging other users' folders. KDD Yehuda Koren, Edo Liberty, Yoelle Maarek, Roman Sandler
2011	A*	`conf`	I want to answer; who has a question?: Yahoo! answers recommender system. KDD Gideon Dror, Yehuda Koren, Yoelle Maarek, Idan Szpektor
2011	A	`conf`	OrdRec: an ordinal model for predicting personalized item rating distributions. RecSys Yehuda Koren, Joe Sill
2011	A	`conf`	Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy. RecSys Noam Koenigstein, Gideon Dror, Yehuda Koren
2010	J	`jnl`	Collaborative filtering with temporal dynamics. Commun. ACM Yehuda Koren
2010	J	`jnl`	Factor in the neighbors: Scalable and accurate collaborative filtering. ACM Trans. Knowl. Discov. Data Yehuda Koren
2010	A	`conf`	On bootstrapping recommender systems. CIKM Nadav Golbandi, Yehuda Koren, Ronny Lempel
2010	A	`conf`	Performance of recommender algorithms on top-n recommendation tasks. RecSys Paolo Cremonesi, Yehuda Koren, Roberto Turrin
2010	—	`ed.`	Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems, HetRec '10, Barcelona, Spain, September 26, 2010 HetRec@RecSys Peter Brusilovsky, Iván Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer
2010	A	`conf`	Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010). RecSys Peter Brusilovsky, Iván Cantador, Yehuda Koren, Tsvi Kuflik, Markus Weimer
2009	A*	`conf`	Collaborative filtering with temporal dynamics. KDD Yehuda Koren
2009	J	`jnl`	Constrained graph layout by stress majorization and gradient projection. Discret. Math. Tim Dwyer, Yehuda Koren, Kim Marriott
2009	—	`ch.`	Direction-Aware Proximity on Graphs. Encyclopedia of Data Warehousing and Mining Hanghang Tong, Yehuda Koren, Christos Faloutsos
2009	B	`conf`	Extending the spring-electrical model to overcome warping effects. PacificVis Yifan Hu, Yehuda Koren
2009	J	`jnl`	Matrix Factorization Techniques for Recommender Systems. Computer Yehuda Koren, Robert M. Bell, Chris Volinsky
2009	J	`jnl`	Recommender Systems for the Conference Paper Assignment Problem CoRR Don Conry, Yehuda Koren, Naren Ramakrishnan
2009	A	`conf`	Recommender systems for the conference paper assignment problem. RecSys Don Conry, Yehuda Koren, Naren Ramakrishnan
2008	A*	`conf`	Collaborative Filtering for Implicit Feedback Datasets. ICDM Yifan Hu, Yehuda Koren, Chris Volinsky
2008	A*	`conf`	Factorization meets the neighborhood: a multifaceted collaborative filtering model. KDD Yehuda Koren
2008	A	`conf`	The Binary Stress Model for Graph Drawing. GD Yehuda Koren, Ali Civril
2008	A	`conf`	Tutorial on recent progress in collaborative filtering. RecSys Yehuda Koren
2007	A*	`conf`	Fast direction-aware proximity for graph mining. KDD Hanghang Tong, Christos Faloutsos, Yehuda Koren
2007	J	`jnl`	Lessons from the Netflix prize challenge. SIGKDD Explor. Robert M. Bell, Yehuda Koren
2007	J	`jnl`	Measuring and extracting proximity graphs in networks. ACM Trans. Knowl. Discov. Data Yehuda Koren, Stephen C. North, Chris Volinsky
2007	A*	`conf`	Modeling relationships at multiple scales to improve accuracy of large recommender systems. KDD Robert M. Bell, Yehuda Koren, Chris Volinsky
2007	A*	`conf`	Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights. ICDM Robert M. Bell, Yehuda Koren
2006	J	`jnl`	Drawing Directed Graphs Using Quadratic Programming. IEEE Trans. Vis. Comput. Graph. Tim Dwyer, Yehuda Koren, Kim Marriott
2006	J	`jnl`	IPSep-CoLa: An Incremental Procedure for Separation Constraint Layout of Graphs. IEEE Trans. Vis. Comput. Graph. Tim Dwyer, Yehuda Koren, Kim Marriott
2006	A	`conf`	Improved Circular Layouts. GD Emden R. Gansner, Yehuda Koren
2006	A*	`conf`	Measuring and extracting proximity in networks. KDD Yehuda Koren, Stephen C. North, Chris Volinsky
2005	—	`conf`	DIG-COLA: Directed Graph Layout through Constrained Energy Minimization. INFOVIS Tim Dwyer, Yehuda Koren
2005	J	`jnl`	Distributed Graph Layout for Sensor Networks. J. Graph Algorithms Appl. Craig Gotsman, Yehuda Koren
2005	J	`jnl`	One-dimensional layout optimization, with applications to graph drawing by axis separation. Comput. Geom. Yehuda Koren, David Harel
2005	A	`conf`	Stress Majorization with Orthogonal Ordering Constraints. GD Tim Dwyer, Yehuda Koren, Kim Marriott
2005	J	`jnl`	Topological Fisheye Views for Visualizing Large Graphs. IEEE Trans. Vis. Comput. Graph. Emden R. Gansner, Yehuda Koren, Stephen C. North
2004	J	`jnl`	Combining Hierarchy and Energy Drawing Directed Graphs. IEEE Trans. Vis. Comput. Graph. Liran Carmel, David Harel, Yehuda Koren
2004	A	`conf`	Distributed Graph Layout for Sensor Networks. GD Craig Gotsman, Yehuda Koren
2004	J	`jnl`	Graph Drawing by High-Dimensional Embedding. J. Graph Algorithms Appl. David Harel, Yehuda Koren
2004	A	`conf`	Graph Drawing by Stress Majorization. GD Emden R. Gansner, Yehuda Koren, Stephen C. North
2004	—	`conf`	Graph Drawing by Subspace Optimization. VisSym Yehuda Koren
2004	J	`jnl`	Robust Linear Dimensionality Reduction. IEEE Trans. Vis. Comput. Graph. Yehuda Koren, Liran Carmel
2004	—	`conf`	Topological Fisheye Views for Visualizing Large Graphs. INFOVIS Emden R. Gansner, Yehuda Koren, Stephen C. North
2003	A*	`conf`	A two-way visualization method for clustered data. KDD Yehuda Koren, David Harel
2003	A	`conf`	Axis-by-Axis Stress Minimization. GD Yehuda Koren, David Harel
2003	J	`jnl`	Drawing Huge Graphs by Algebraic Multigrid Optimization. Multiscale Model. Simul. Yehuda Koren, Liran Carmel, David Harel
2003	Misc	`conf`	On Spectral Graph Drawing. COCOON Yehuda Koren
2003	—	`conf`	Visualization of Labeled Data Using Linear Transformations. INFOVIS Yehuda Koren, Liran Carmel
2002	J	`jnl`	A Fast Multi-Scale Method for Drawing Large Graphs. J. Graph Algorithms Appl. David Harel, Yehuda Koren
2002	B	`conf`	A Multi-scale Algorithm for the Linear Arrangement Problem. WG Yehuda Koren, David Harel
2002	—	`conf`	ACE: A Fast Multiscale Eigenvectors Computation for Drawing Huge Graphs. INFOVIS Yehuda Koren, Liran Carmel, David Harel
2002	A	`conf`	Drawing Directed Graphs Using One-Dimensional Optimization. GD Liran Carmel, David Harel, Yehuda Koren
2002	B	`conf`	Drawing graphs with non-uniform vertices. AVI David Harel, Yehuda Koren
2002	A	`conf`	Graph Drawing by High-Dimensional Embedding. GD David Harel, Yehuda Koren
2001	A*	`conf`	Clustering spatial data using random walks. KDD David Harel, Yehuda Koren
2001	—	`conf`	On Clustering Using Random Walks. FSTTCS David Harel, Yehuda Koren
2000	B	`conf`	A Fast Multi-Scale Method for Drawing Large Graphs. Advanced Visual Interfaces David Harel, Yehuda Koren
2000	A	`conf`	A Fast Multi-scale Method for Drawing Large Graphs. GD David Harel, Yehuda Koren