Yehuda Koren
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Yehuda Korencomputer-science Degrees
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Computer Science
Yehuda Koren's Degrees
- PhD Computer Science Stanford University
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(Suggest an Edit or Addition)Yehuda Koren's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Matrix Factorization Techniques for Recommender Systems (2009) (7738)
- Factorization meets the neighborhood: a multifaceted collaborative filtering model (2008) (3795)
- Collaborative Filtering for Implicit Feedback Datasets (2008) (2934)
- Collaborative filtering with temporal dynamics (2009) (1731)
- Performance of recommender algorithms on top-n recommendation tasks (2010) (1356)
- Advances in Collaborative Filtering (2011) (1163)
- Lessons from the Netflix prize challenge (2007) (796)
- Factor in the neighbors: Scalable and accurate collaborative filtering (2010) (721)
- Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights (2007) (571)
- The BellKor Solution to the Netflix Grand Prize (2009) (504)
- Modeling relationships at multiple scales to improve accuracy of large recommender systems (2007) (405)
- A fast multi-scale method for drawing large graphs (2000) (390)
- Graph Drawing by Stress Majorization (2004) (386)
- The Yahoo! Music Dataset and KDD-Cup '11 (2012) (337)
- Collaborative filtering with temporal dynamics (2010) (315)
- Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy (2011) (304)
- Recommender Systems Handbook (2011) (273)
- Large-scale learning of word relatedness with constraints (2012) (259)
- Improved Neighborhood-based Collaborative Filtering (2007) (251)
- The BellKor solution to the Netflix Prize (2007) (243)
- Graph Drawing by High-Dimensional Embedding (2002) (231)
- Adaptive bootstrapping of recommender systems using decision trees (2011) (207)
- Workshop on information heterogeneity and fusion in recommender systems (HetRec 2010) (2010) (200)
- OrdRec: an ordinal model for predicting personalized item rating distributions (2011) (188)
- On Spectral Graph Drawing (2003) (182)
- Topological fisheye views for visualizing large graphs (2004) (174)
- The BellKor 2008 Solution to the Netflix Prize (2008) (164)
- ACE: a fast multiscale eigenvectors computation for drawing huge graphs (2002) (159)
- Measuring and extracting proximity in networks (2006) (155)
- Robust linear dimensionality reduction (2004) (152)
- On Clustering Using Random Walks (2001) (132)
- Improved Circular Layouts (2006) (131)
- Drawing graphs by eigenvectors: theory and practice (2005) (123)
- Build your own music recommender by modeling internet radio streams (2012) (107)
- IPSep-CoLa: An Incremental Procedure for Separation Constraint Layout of Graphs (2006) (104)
- Fast direction-aware proximity for graph mining (2007) (102)
- I want to answer; who has a question?: Yahoo! answers recommender system (2011) (99)
- Clustering spatial data using random walks (2001) (98)
- A Multi-scale Algorithm for the Linear Arrangement Problem (2002) (93)
- On the Difficulty of Evaluating Baselines: A Study on Recommender Systems (2019) (93)
- Distributed Graph Layout for Sensor Networks (2004) (90)
- Care to comment?: recommendations for commenting on news stories (2012) (88)
- On bootstrapping recommender systems (2010) (86)
- All Together Now: A Perspective on the Netflix Prize (2010) (85)
- Visualization of labeled data using linear transformations (2003) (80)
- Drawing Huge Graphs by Algebraic Multigrid Optimization (2003) (77)
- Drawing graphs with non-uniform vertices (2002) (73)
- Recommender systems for the conference paper assignment problem (2009) (59)
- The million dollar programming prize (2009) (59)
- Dig-CoLa: directed graph layout through constrained energy minimization (2005) (56)
- Measuring and extracting proximity graphs in networks (2007) (53)
- Tutorial on recent progress in collaborative filtering (2008) (51)
- Towards scalable and accurate item-oriented recommendations (2013) (47)
- Automatically tagging email by leveraging other users' folders (2011) (40)
- Drawing directed graphs using quadratic programming (2006) (37)
- Expediting search trend detection via prediction of query counts (2013) (35)
- Web-Scale Media Recommendation Systems (2012) (33)
- Collaborative Filtering on Ordinal User Feedback (2013) (32)
- The Binary Stress Model for Graph Drawing (2009) (31)
- A two-way visualization method for clustered data (2003) (30)
- Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining (2013) (30)
- Combining hierarchy and energy for drawing directed graphs (2004) (29)
- Stress Majorization with Orthogonal Ordering Constraints (2005) (26)
- Proceedings of the 14th ACM Conference on Recommender Systems (2014) (23)
- Drawing Directed Graphs Using One-Dimensional Optimization (2002) (22)
- Constrained graph layout by stress majorization and gradient projection (2009) (21)
- Graph drawing by subspace optimization (2004) (21)
- MENGELE AND THE FAMILY OF DWARFS (2005) (20)
- Proceedings of the 2nd KDD Workshop on Large-Scale Recommender Systems and the Netflix Prize Competition (2008) (16)
- Axis-by-Axis Stress Minimization (2003) (16)
- PATCHWORK : Efficient Localization for Sensor Networks by Distributed Global Optimization (2005) (14)
- One-dimensional layout optimization, with applications to graph drawing by axis separation (2005) (14)
- Proceedings of the 1st International Workshop on Information Heterogeneity and Fusion in Recommender Systems (2010) (14)
- Extending the spring-electrical model to overcome warping effects (2009) (13)
- Revisiting the Performance of iALS on Item Recommendation Benchmarks (2021) (11)
- Visualizing and Classifying Odors Using a Similar-ity Matrix (2002) (11)
- Dynamic personalized recommendation of comment-eliciting stories (2012) (10)
- Lover of Unreason: Assia Wevill, Sylvia Plath's Rival and Ted Hughes's Doomed Love (2006) (8)
- In Our Hearts We Were Giants: The Remarkable Story of the Lilliput Troupe--A Dwarf Family's Survival of the Holocaust (2004) (6)
- iALS++: Speeding up Matrix Factorization with Subspace Optimization (2021) (4)
- One-Dimensional Graph Drawing : Part II — Axis-by-Axis Stress Minimization (2003) (3)
- One-Dimensional Graph Drawing : Part I — Drawing Graphs by Axis Separation (2003) (3)
- Direction-Aware Proximity on Graphs (2009) (1)
- The medium and the message: Publishing and the media in Israel (1998) (1)
- Guest Editorial for Special Issue KDD’10 (2012) (1)
- Session details: Research track 12: algorithms for recommendations (2010) (0)
- Session details: Industry session 2 (2012) (0)
- A Composite of Heterogeneous Sources Recommenders (CHR) (2020) (0)
- Stress Majorization with (2005) (0)
- A Brief Review of “ Collaborative Filtering for Implicit Feedback Datasets ” by (2015) (0)
- RecSys'11 - Proceedings of the 5th ACM Conference on Recommender Systems: Foreword (2011) (0)
- Explicit Logspace Constructions of Weak DesignsTzvika Hartmany RanR z (2007) (0)
- AusDM 2009 Analytic Challenge The Challenge (2009) (0)
- Lessons learned from contests in data mining (2011) (0)
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