2 papers
cs.IR2023
Learning Personalized User Preference from Cold Start in Multi-turn Conversations
Deguang Kong, Abhay Jha, Lei Yun
This paper presents a novel teachable conversation interaction system that is capable of learning users preferences from cold start by gradually adapting to personal preferences. I…
cs.IR2023
Personalized Search Via Neural Contextual Semantic Relevance Ranking
Deguang Kong, Daniel Zhou, Zhiheng Huang +1
Existing neural relevance models do not give enough consideration for query and item context information which diversifies the search results to adapt for personal preference. To b…