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