2 papers
cs.IR2023
Preference Elicitation with Soft Attributes in Interactive Recommendation
Erdem Biyik, Fan Yao, Yinlam Chow +4
Preference elicitation plays a central role in interactive recommender systems. Most preference elicitation approaches use either item queries that ask users to select preferred it…
cs.AI2023
Factual and Personalized Recommendations using Language Models and Reinforcement Learning
Jihwan Jeong, Yinlam Chow, Guy Tennenholtz +4
Recommender systems (RSs) play a central role in connecting users to content, products, and services, matching candidate items to users based on their preferences. While traditiona…