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08/11/2023
A Large Language Model Enhanced Conversational Recommender System
Conversational recommender systems (CRSs) aim to recommend high-quality ...
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06/06/2023
State Regularized Policy Optimization on Data with Dynamics Shift
In many real-world scenarios, Reinforcement Learning (RL) algorithms are...
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06/04/2023
Generative Flow Network for Listwise Recommendation
Personalized recommender systems fulfill the daily demands of customers ...
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02/07/2023
Multi-Task Recommendations with Reinforcement Learning
In recent years, Multi-task Learning (MTL) has yielded immense success i...
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02/03/2023
Reinforcing User Retention in a Billion Scale Short Video Recommender System
Recently, short video platforms have achieved rapid user growth by recom...
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02/03/2023
Two-Stage Constrained Actor-Critic for Short Video Recommendation
The wide popularity of short videos on social media poses new opportunit...
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12/06/2022
PrefRec: Preference-based Recommender Systems for Reinforcing Long-term User Engagement
Current advances in recommender systems have been remarkably successful ...
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07/06/2020
Learning Personalized Risk Preferences for Recommendation
The rapid growth of e-commerce has made people accustomed to shopping on...
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06/30/2020
