Diversified interactive recommendation with implicit feedback

• Main Authors: Liu, Yong, Xiao, Yingtai, Wu, Qiong, Miao, Chunyan, Zhang, Juyong, Zhao, Binqiang, Tang, Haihong
• Other Authors: School of Computer Science and Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2020
• Subjects: Engineering::Computer science and engineering; Interactive Recommender Systems; Conventional Recommender Systems
• Online Access: https://hdl.handle.net/10356/144288
• Institution: Nanyang Technological University

Interactive recommender systems that enable the interactions between users and the recommender system have attracted increasing research attention. Previous methods mainly focus on optimizing recommendation accuracy. However, they usually ignore the diversity of the recommendation results, thus usua...