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Recommender Systems

1012 directly classified papers

Papers per year

Papers

A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction IJCAI 2018
Neural Framework for Joint Evolution Modeling of User Feedback and Social Links in Dynamic Social Networks IJCAI 2018
Thread Popularity Prediction and Tracking with a Permutation-invariant Model EMNLP 2018
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams ICML 2018
Differentially Private Matrix Completion Revisited ICML 2018
LRMM: Learning to Recommend with Missing Modalities EMNLP 2018
Predicting Stances from Social Media Posts using Factorization Machines COLING 2018
Beyond Parity: Fairness Objectives for Collaborative Filtering NIPS 2017
Thy Friend is My Friend: Iterative Collaborative Filtering for Sparse Matrix Estimation NIPS 2017
JUNLP at IJCNLP-2017 Task 3: A Rank Prediction Model for Review Opinion Diversification IJCNLP 2017
Mixture-Rank Matrix Approximation for Collaborative Filtering NIPS 2017
The Sample Complexity of Online One-Class Collaborative Filtering ICML 2017
A Model for Accountable Ordinal Sorting IJCAI 2017
Off-policy evaluation for slate recommendation NIPS 2017
CYUT at IJCNLP-2017 Task 3: System Report for Review Opinion Diversification IJCNLP 2017
DropoutNet: Addressing Cold Start in Recommender Systems NIPS 2017
Proportional Rankings IJCAI 2017
Incremental Matrix Factorization: A Linear Feature Transformation Perspective IJCAI 2017
DeepFM: A Factorization-Machine based Neural Network for CTR Prediction IJCAI 2017
Opinion Recommendation Using A Neural Model EMNLP 2017
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks NIPS 2017
Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems IJCAI 2017
Bayesian Boolean Matrix Factorisation ICML 2017
Collaborative Rating Allocation IJCAI 2017
Who to Invite Next? Predicting Invitees of Social Groups IJCAI 2017