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

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...

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Detalhes bibliográficos
Principais autores: Zhou, Wei, Liu, Yong, Li, Min, Wang, Yu, Shen, Zhiqi, Feng, Liang, Zhu, Zexuan
Outros Autores: School of Computer Science and Engineering
Formato: Journal Article
Idioma:English
Publicado em: 2023
Assuntos:
Acesso em linha:https://hdl.handle.net/10356/170379