Recommender Systems

Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NeurIPS 2017 Understanding Users' Budgets for Recommendation with Hierarchical Poisson Factorization IJCAI 2017 Who to Invite Next? Predicting Invitees of Social Groups IJCAI 2017 A Neural Autoregressive Approach to Collaborative Filtering ICML 2016 A Reading Environment for Learners of Chinese as a Foreign Language COLING 2016 A Sparse Interactive Model for Matrix Completion with Side Information NeurIPS 2016 Assortment Optimization Under the Mallows model NeurIPS 2016 Beyond Exchangeability: The Chinese Voting Process NeurIPS 2016 Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering NeurIPS 2016 Bounded Off-Policy Evaluation with Missing Data for Course Recommendation and Curriculum Design ICML 2016 Coevolutionary Latent Feature Processes for Continuous-Time User-Item Interactions NeurIPS 2016 Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks NeurIPS 2016 Comparative Deep Learning of Hybrid Representations for Image Recommendations CVPR 2016 Computational and Statistical Tradeoffs in Learning to Rank NeurIPS 2016 Contextual Combinatorial Cascading Bandits ICML 2016 Data-driven Rank Breaking for Efficient Rank Aggregation JMLR 2016 Data Poisoning Attacks on Factorization-Based Collaborative Filtering NeurIPS 2016 DCM Bandits: Learning to Rank with Multiple Clicks ICML 2016 Deconvolving Feedback Loops in Recommender Systems NeurIPS 2016 Dictionary Learning for Massive Matrix Factorization ICML 2016 Distributed Representations for Building Profiles of Users and Items from Text Reviews COLING 2016 Extracting Discriminative Keyphrases with Learned Semantic Hierarchies COLING 2016 Fast Collaborative Filtering from Implicit Feedback with Provable Guarantees ACML 2016 Fast Distributed Submodular Cover: Public-Private Data Summarization NeurIPS 2016 fastFM: A Library for Factorization Machines JMLR 2016