Recommender Systems

DropoutNet: Addressing Cold Start in Recommender Systems NeurIPS 2017 Dynamic Collaborative Filtering With Compound Poisson Factorization AISTATS 2017 Estimating Reactions and Recommending Products with Generative Models of Reviews IJCNLP 2017 Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks NeurIPS 2017 Greed Is Good: Near-Optimal Submodular Maximization via Greedy Optimization COLT 2017 Improved Bounded Matrix Completion for Large-Scale Recommender Systems IJCAI 2017 Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017 JUNLP at IJCNLP-2017 Task 3: A Rank Prediction Model for Review Opinion Diversification IJCNLP 2017 Large-Scale Speaker Ranking from Crowdsourced Pairwise Listener Ratings Interspeech 2017 Learning Discriminative Recommendation Systems with Side Information IJCAI 2017 Learning User Dependencies for Recommendation IJCAI 2017 Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017 Mixture-Rank Matrix Approximation for Collaborative Filtering NeurIPS 2017 Off-policy evaluation for slate recommendation NeurIPS 2017 Opinion Recommendation Using A Neural Model EMNLP 2017 Optimal Recovery of Tensor Slices AISTATS 2017 Other Topics You May Also Agree or Disagree: Modeling Inter-Topic Preferences using Tweets and Matrix Factorization ACL 2017 Privileged Matrix Factorization for Collaborative Filtering IJCAI 2017 Probabilistic Submodular Maximization in Sub-Linear Time ICML 2017 Proportional Rankings IJCAI 2017 Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017 Sampling for Approximate Maximum Search in Factorized Tensor IJCAI 2017 Scalable Demand-Aware Recommendation NeurIPS 2017 SPMC: Socially-Aware Personalized Markov Chains for Sparse Sequential Recommendation IJCAI 2017 The Sample Complexity of Online One-Class Collaborative Filtering ICML 2017