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Recommender Systems

315 papers

Papers per year

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30
62
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Papers

Fast Constrained Submodular Maximization: Personalized Data Summarization ICML 2016
Controlling privacy in recommender systems NIPS 2014
Scalable Variational Bayesian Matrix Factorization with Side Information AISTATS 2014
Predicting User Annoyance Using Visual Attributes CVPR 2014
Coupled Group Lasso for Web-Scale CTR Prediction in Display Advertising ICML 2014
A Gang of Bandits NIPS 2013
Deep content-based music recommendation NIPS 2013
Kernelized Bayesian Matrix Factorization ICML 2013
Collaborative Ranking With 17 Parameters NIPS 2012
Near-Optimal Algorithms for Online Matrix Prediction COLT 2012
Efficient Online Learning via Randomized Rounding NIPS 2011
Collaborative Filtering on a Budget AISTATS 2010
Online Models for Content Optimization NIPS 2008
Evaluating Search Engines by Modeling the Relationship Between Relevance and Clicks NIPS 2007
Recommender Systems Using Linear Classifiers JMLR 2002