Major components of the gravity recommendation system

Keywords

Recommender system, Computer science, Scalability, Benchmark (surveying), CONTEST

References

• Research and Development in Information RetrievalGerard Salton, H.‐J. Schneider — 1982
• An open architecture for collaborative filtering of netnewsPaul Resnick — 1994
• Fast maximum margin matrix factorization for collaborative predictionJasson D. M. Rennie, Nathan Srebro — 2005
• Recommending and evaluating choices in a virtual community of useWill Hill, Larry Stead, Mark Rosenstein — 1995
• Item-based collaborative filtering recommendation algorithmsBadrul Sarwar, George Karypis, Joseph A. Konstan — 2001
• Collaborative filtering with privacy via factor analysisJohn Canny — 2002
• Restricted Boltzmann machines for collaborative filteringRuslan Salakhutdinov, Andriy Mnih, Geoffrey E. Hinton — 2007
• Maximum-Margin Matrix FactorizationNathan Srebro, Jason D. M. Rennie, Tommi Jaakkola — 2004
• The Netflix PrizeJames R. Bennett, Stan Lanning — 2007
• Empirical Analysis of Predictive Algorithms for Collaborative FilteringJohn S. Breese, David Heckerman, Carl Kadie — 1998
• STATISTICAL METHODSGeorge W. Snedecor — 1967
• GroupLensPaul Resnick, Neophytos Iacovou, Mitesh Suchak — 1994
• A Continuous Technique for the Weighted Low-Rank Approximation ProblemN. Buono, T. Politi — 2004

Cited by

• Goal-driven collaborative filteringTamas Jambor — 2013
• Collaborative Filtering on a BudgetAlexandros Karatzoglou, Alexander J. Smola, Markus Weimer — 2010
• User behaviour modelling in a multi-dimensional environment for personalization and recommendationRakesh Rawat — 2010
• Mining the Semantic WebAchim Rettinger, Uta Lösch, Volker Tresp — 2012
• Sparse Models for Sparse Data: Methods, Limitations, Visualizations, and EnsemblesDavid Gregory Purdy — 2012
• Machine learning methods for recommender systemsSantosh Kabbur — 2015
• Modeling Difficulty in Recommender SystemsBenjamin Kille — 2012
• Context-aware recommendations from implicit data via scalable tensor factorizationBalázs Hidasi, Domonkos Tikk — 2013
• Emergence of Scale-Free Leadership Structure in Social Recommender SystemsTao Zhou, Matúš Medo, Giulio Cimini — 2011
• An Introduction to Search Engines and Web Navigation (2. ed.)Mark Levene — 2005
• A Hybrid Approach to Web Service Recommendation Based on QoS-Aware Rating and RankingMingming Chen, Yutao Ma — 2015
• Alternating Least Squares with Incremental Learning BiasThan Htike Aung, Rachsuda Jiamthapthaksin — 2015
• Guaranteed Matrix Completion via Nonconvex FactorizationRuoyu Sun, Zhi‐Quan Luo — 2015
• Integrating Prior Knowledge into Factorization Approaches for Relational LearningXueyan Jiang — 2014
• General factorization framework for context-aware recommendationsBalázs Hidasi, Domonkos Tikk — 2014
• Modeling mutual feedback between users and recommender systemsAn Zeng, Chi Ho Yeung, Matúš Medo — 2015
• Using Social Signal of Hesitation in Multimedia Content RetrievalTomaž Vodlan, Andrej Košir — 2014
• Improving Neighborhood-Based Collaborative Filtering by Reducing HubnessPeter Knees, Dominik Schnitzer, Arthur Flexer — 2014
• Social media and political communication: a social media analytics frameworkStefan Stieglitz, Linh Dang-Xuan — 2012
• Online-updating regularized kernel matrix factorization models for large-scale recommender systemsSteffen Rendle, Lars Schmidt-Thieme — 2008

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