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Recommender Systems
313 directly classified papers
Papers per year
2002: 1
2007: 1
2008: 1
2010: 1
2011: 1
2012: 2
2013: 3
2014: 4
2016: 7
2017: 8
2018: 12
2019: 19
2020: 30
2021: 33
2022: 39
2023: 32
2024: 57
2025: 62
Papers
EasySM: A Data-Driven Intelligent Decision Support System for Server Merge
AAAI 2022
FORCE: A Framework of Rule-Based Conversational Recommender System
AAAI 2022
QuoteR: A Benchmark of Quote Recommendation for Writing
ACL 2022
Leveraging Similar Users for Personalized Language Modeling with Limited Data
ACL 2022
MINER: Multi-Interest Matching Network for News Recommendation
ACL 2022
Two Birds with One Stone: Unified Model Learning for Both Recall and Ranking in News Recommendation
ACL 2022
GRU4RecBE: A Hybrid Session-Based Movie Recommendation System (Student Abstract)
AAAI 2022
NAIST-NICT-TIT WMT22 General MT Task Submission
EMNLP 2022
On the Generalizability and Predictability of Recommender Systems
NIPS 2022
DreamShard: Generalizable Embedding Table Placement for Recommender Systems
NIPS 2022
Uplifting Bandits
NIPS 2022
Product Ranking for Revenue Maximization with Multiple Purchases
NIPS 2022
Diversified Recommendations for Agents with Adaptive Preferences
NIPS 2022
Parameter-free Dynamic Graph Embedding for Link Prediction
NIPS 2022
GBA: A Tuning-free Approach to Switch between Synchronous and Asynchronous Training for Recommendation Models
NIPS 2022
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data
AAAI 2021
Learning to Recommend from Sparse Data via Generative User Feedback
AAAI 2021
Neural News Recommendation with Collaborative News Encoding and Structural User Encoding
EMNLP 2021
Thompson Sampling Algorithms for Cascading Bandits
JMLR 2021
Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems
AAAI 2021
PP-Rec: News Recommendation with Personalized User Interest and Time-aware News Popularity
ACL 2021
User Retention: A Causal Approach with Triple Task Modeling
IJCAI 2021
Interacting with Explanations through Critiquing
IJCAI 2021
Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract)
AAAI 2021
HieRec: Hierarchical User Interest Modeling for Personalized News Recommendation
ACL 2021
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