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Computer Science

D-Index
56
Citations
43663
World Ranking
3929
National Ranking
1863

Overview

Yehuda Koren is a researcher affiliated with Google in the United States, with a focus on various areas within computer science. Their research contributions span multiple domains, with a concentration on recommender systems and related techniques.

Their recent publications include work published in arXiv (Cornell University) such as:

  • Revisiting the Performance of iALS on Item Recommendation Benchmarks, 2021, arXiv (Cornell University)
  • iALS++: Speeding up Matrix Factorization with Subspace Optimization, 2021, arXiv (Cornell University)

Yehuda Koren has collaborated frequently with several researchers, including:

  • Steffen Rendle
  • Walid Krichene
  • Li Zhang

The main fields in which they publish are rooted in computer science, with specific subfields including:

  • Artificial Intelligence
  • Information Systems
  • Electrical and Electronic Engineering

Their work covers topics such as:

  • Recommender Systems and Techniques
  • Text and Document Classification Technologies
  • Sentiment Analysis and Opinion Mining
  • Advanced Graph Neural Networks
  • Advanced MIMO Systems Optimization

Yehuda Koren's research outputs are predominantly published in venues such as arXiv (Cornell University), where their contributions contribute to ongoing advancements in areas related to matrix factorization and item recommendation benchmarks.

Best Publications

  • Matrix Factorization Techniques for Recommender Systems

    Y. Koren;R. Bell;C. Volinsky

  • Factorization meets the neighborhood: a multifaceted collaborative filtering model

    Yehuda Koren

  • Collaborative Filtering for Implicit Feedback Datasets

    Yifan Hu;Y. Koren;C. Volinsky

  • Collaborative filtering with temporal dynamics

    Yehuda Koren

  • Performance of recommender algorithms on top-n recommendation tasks

    Paolo Cremonesi;Yehuda Koren;Roberto Turrin

  • Advances in Collaborative Filtering

    Yehuda Koren;Robert M. Bell

  • Lessons from the Netflix prize challenge

    Robert M. Bell;Yehuda Koren

  • Factor in the neighbors: Scalable and accurate collaborative filtering

    Yehuda Koren

  • Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights

    R.M. Bell;Y. Koren

  • A fast multi-scale method for drawing large graphs.

    David Harel;Yehuda Koren

  • The BellKor Solution to the Netflix Grand Prize

    Yehuda Koren

  • Recommender Systems Handbook

    Yehuda Koren;Robert Bell

  • Graph drawing by high-dimensional embedding.

    David Harel;Yehuda Koren

  • Modeling relationships at multiple scales to improve accuracy of large recommender systems

    Robert Bell;Yehuda Koren;Chris Volinsky

  • Graph drawing by stress majorization

    Emden R. Gansner;Yehuda Koren;Stephen North

  • Second workshop on information heterogeneity and fusion in recommender systems (HetRec2011)

    Peter Brusilovsky;Iván Cantador;Yehuda Koren;Tsvi Kuflik

  • Yahoo! music recommendations: modeling music ratings with temporal dynamics and item taxonomy

    Noam Koenigstein;Gideon Dror;Yehuda Koren

  • Improved Neighborhood-based Collaborative Filtering

    Robert M. Bell;Yehuda Koren

  • The Yahoo! Music Dataset and KDD-Cup'11

    Gideon Dror;Noam Koenigstein;Yehuda Koren;Markus Weimer

  • Proceedings of the 8th ACM Conference on Recommender systems

    Alfred Kobsa;Michelle Zhou;Martin Ester;Yehuda Koren

  • Adaptive bootstrapping of recommender systems using decision trees

    Nadav Golbandi;Yehuda Koren;Ronny Lempel

Frequent Co-Authors

David Harel
David Harel Weizmann Institute of Science
Stephen C. North
Stephen C. North Infovisible
Kim Marriott
Kim Marriott Monash University
Emden R. Gansner
Emden R. Gansner Independent Scientist / Consultant, US
Gideon Dror
Gideon Dror Academic College of Tel Aviv-Yafo
Craig Gotsman
Craig Gotsman New Jersey Institute of Technology
Gediminas Adomavicius
Gediminas Adomavicius University of Minnesota
Bamshad Mobasher
Bamshad Mobasher DePaul University
Yoelle Maarek
Yoelle Maarek Amazon (United States)
Dietmar Jannach
Dietmar Jannach University of Klagenfurt

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