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- [1] Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems KDD'19: PROCEEDINGS OF THE 25TH ACM SIGKDD INTERNATIONAL CONFERENCCE ON KNOWLEDGE DISCOVERY AND DATA MINING, 2019, : 2810 - 2818
- [2] Returning is Believing: Optimizing Long-term User Engagement in Recommender Systems CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT, 2017, : 1927 - 1936
- [3] PrefRec: Recommender Systems with Human Preferences for Reinforcing Long-term User Engagement PROCEEDINGS OF THE 29TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2023, 2023, : 2874 - 2884
- [4] Fostering the Universal Virtual Computer as Long-Term Preservation Platform 18TH IEEE INTERNATIONAL CONFERENCE AND WORKSHOPS ON ENGINEERING OF COMPUTER BASED SYSTEMS (ECBS 2011), 2011, : 105 - 110
- [5] Surrogate for Long-Term User Experience in Recommender Systems PROCEEDINGS OF THE 28TH ACM SIGKDD CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING, KDD 2022, 2022, : 4100 - 4109
- [6] Long-term Dynamics of Fairness Intervention in Connection Recommender Systems PROCEEDINGS OF THE 2022 AAAI/ACM CONFERENCE ON AI, ETHICS, AND SOCIETY, AIES 2022, 2022, : 22 - 35
- [7] Long-term fairness for Group Recommender Systems with Large Groups PROCEEDINGS OF THE 16TH ACM CONFERENCE ON RECOMMENDER SYSTEMS, RECSYS 2022, 2022, : 724 - 726
- [8] LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems PROCEEDINGS OF THE 46TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL, SIGIR 2023, 2023, : 289 - 299