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Recommender Systems

313 directly classified papers

Papers per year

Papers

Convolutional Neural Networks based Click-Through Rate Prediction with Multiple Feature Sequences IJCAI 2018
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers NIPS 2018
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse NAACL 2018
Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation NAACL 2018
Creating Capsule Wardrobes From Fashion Images CVPR 2018
Mixture Matrix Completion NIPS 2018
LRMM: Learning to Recommend with Missing Modalities EMNLP 2018
Somm: Into the Model EMNLP 2018
Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018
Disguise Adversarial Networks for Click-through Rate Prediction IJCAI 2017
IIIT-H at IJCNLP-2017 Task 3: A Bidirectional-LSTM Approach for Review Opinion Diversification IJCNLP 2017
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems ACML 2017
DPSCREEN: Dynamic Personalized Screening NIPS 2017
Scalable Demand-Aware Recommendation NIPS 2017
Beyond Parity: Fairness Objectives for Collaborative Filtering NIPS 2017
Category-aware Next Point-of-Interest Recommendation via Listwise Bayesian Personalized Ranking IJCAI 2017
Learning User's Intrinsic and Extrinsic Interests for Point-of-Interest Recommendation: A Unified Approach IJCAI 2017
Fast Constrained Submodular Maximization: Personalized Data Summarization ICML 2016
Regret Bounds for Non-decomposable Metrics with Missing Labels NIPS 2016
Multiple-Play Bandits in the Position-Based Model NIPS 2016
Hashtag Recommendation Using End-To-End Memory Networks with Hierarchical Attention COLING 2016
Unifying Topic, Sentiment & Preference in an HDP-Based Rating Regression Model for Online Reviews ACML 2016
Comparative Deep Learning of Hybrid Representations for Image Recommendations CVPR 2016
Collaborative Recurrent Neural Networks for Dynamic Recommender Systems ACML 2016
Controlling privacy in recommender systems NIPS 2014