Yuanhang Zhou

Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion

2020

Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. Although several efforts have been made for CRS, two major issues still remain to be solved. First, the conversation data itself …

Towards Topic-Guided Conversational Recommender System

2020

Conversational recommender systems (CRS) aim to recommend high-quality items to users through interactive conversations. To develop an effective CRS, the support of high-quality datasets is essential. Existing CRS datasets mainly focus on immediate requests from …