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Recommender Systems

1012 directly classified papers

Papers per year

Papers

Cross-Domain Recommendation: Challenges, Progress, and Prospects IJCAI 2021
Adversarial Combinatorial Bandits with General Non-linear Reward Functions ICML 2021
RevMan: Revenue-aware Multi-task Online Insurance Recommendation AAAI 2021
RadarMath: An Intelligent Tutoring System for Math Education AAAI 2021
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System ACL 2021
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity ACL 2021
Keyword Augmentation via Generative Methods ACL 2021
“It doesn’t look good for a date”: Transforming Critiques into Preferences for Conversational Recommendation Systems EMNLP 2021
User Retention: A Causal Approach with Triple Task Modeling IJCAI 2021
OpenML-Python: an extensible Python API for OpenML JMLR 2021
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach ICML 2021
Graph Heterogeneous Multi-Relational Recommendation AAAI 2021
Enhancing E-commerce Recommender System Adaptability with Online Deep Controllable Learning-To-Rank AAAI 2021
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce AAAI 2021
Learning Set Functions that are Sparse in Non-Orthogonal Fourier Bases AAAI 2021
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning AAAI 2021
Incorporating Curiosity into Personalized Ranking for Collaborative Filtering (Student Abstract) AAAI 2021
Correcting Exposure Bias for Link Recommendation ICML 2021
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability ICML 2021
Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback AAAI 2021
Knowledge-Enhanced Top-K Recommendation in Poincaré Ball AAAI 2021
Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks AAAI 2021
Discovering Collaborative Signals for Next POI Recommendation with Iterative Seq2Graph Augmentation IJCAI 2021
Rethinking Neural vs. Matrix-Factorization Collaborative Filtering: the Theoretical Perspectives ICML 2021
Does Every Data Instance Matter? Enhancing Sequential Recommendation by Eliminating Unreliable Data IJCAI 2021