Dynamic multi-objective optimization framework with interactive evolution for sequential recommendation

• Main Authors: Zhou, Wei, Liu, Yong, Li, Min, Wang, Yu, Shen, Zhiqi, Feng, Liang, Zhu, Zexuan
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Dynamic Multi-Objective Optimization; Multi-Objective Recommendation
• Online Access: https://hdl.handle.net/10356/170379
• Institution: Nanyang Technological University

In contrast to traditional recommender systems which usually pay attention to users' general and long-term preferences, sequential recommendation (SR) can model users' dynamic intents based on their behaviour sequences and suggest the next item(s) to them. However, most of existing sequent...