Recommender Systems
1,097 papers
Papers per year
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Papers
Supervised User Ranking in Signed Social Networks
AAAI 2019
Surveys without Questions: A Reinforcement Learning Approach
AAAI 2019
Text Assisted Insight Ranking Using Context-Aware Memory Network
AAAI 2019
Towards Knowledge-Based Recommender Dialog System
EMNLP 2019
TransNFCM: Translation-Based Neural Fashion Compatibility Modeling
AAAI 2019
Understanding Persuasion Cascades in Online Product Rating Systems
AAAI 2019
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
AAAI 2019
A^3NCF: An Adaptive Aspect Attention Model for Rating Prediction
IJCAI 2018
A Data Driven Approach to Predicting Rating Scores for New Restaurants
ACML 2018
A Deep Framework for Cross-Domain and Cross-System Recommendations
IJCAI 2018
A Game-Theoretic Approach to Recommendation Systems with Strategic Content Providers
NeurIPS 2018
Argumentation-Based Recommendations: Fantastic Explanations and How to Find Them
IJCAI 2018
A Social Interaction Activity based Time-Varying User Vectorization Method for Online Social Networks
IJCAI 2018
Aspect-Level Deep Collaborative Filtering via Heterogeneous Information Networks
IJCAI 2018
Authorship Identification for Literary Book Recommendations
COLING 2018
Benefits from Superposed Hawkes Processes
AISTATS 2018
Beyond 1/2-Approximation for Submodular Maximization on Massive Data Streams
ICML 2018
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
IJCAI 2018
Binary Rating Estimation with Graph Side Information
NeurIPS 2018
Combining Deep Learning and Topic Modeling for Review Understanding in Context-Aware Recommendation
NAACL 2018
CoupledCF: Learning Explicit and Implicit User-item Couplings in Recommendation for Deep Collaborative Filtering
IJCAI 2018
Deep Models of Interactions Across Sets
ICML 2018
Differentially Private Matrix Completion Revisited
ICML 2018
Dynamic Bayesian Logistic Matrix Factorization for Recommendation with Implicit Feedback
IJCAI 2018
Exploiting POI-Specific Geographical Influence for Point-of-Interest Recommendation
IJCAI 2018