{"type":"ScholarlyArticle","title":"A Survey on Representation Learning for User Modeling","authors":[{"name":"Sheng Li","slug":"sheng-li","given":"Sheng","family":"Li","affiliation":"Department of Computer Science , University of Georgia , GA"},{"name":"Handong Zhao","slug":"handong-zhao","given":"Handong","family":"Zhao","affiliation":"Adobe Research , San Jose , CA"}],"abstract":"Artificial intelligent systems are changing every aspect of our daily life. In the past decades, numerous approaches have been developed to characterize user behavior, in order to deliver personalized experience to users in scenarios like online shopping or movie recommendation. This paper presents a comprehensive survey of recent advances in user modeling from the perspective of representation learning. In particular, we formulate user modeling as a process of learning latent representations for users. We discuss both the static and sequential representation learning methods for the purpose of user modeling, and review representative approaches in each category, such as matrix factorization, deep collaborative filtering, and recurrent neural networks. Both shallow and deep learning methods are reviewed and discussed. Finally, we conclude this survey and discuss a number of open research problems that would inspire further research in this field.","doi":"10.24963/ijcai.2020/695","url":"https://ijcai.org/proceedings/2020/695","pdf":"https://ijcai.org/proceedings/2020/0695.pdf","markdown":"https://ijcai.org/proceedings/2020/695.md","bibtex":"https://ijcai.org/proceedings/2020/bibtex/695","volume":{"slug":"2020","title":"Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2020","url":"https://ijcai.org/proceedings/2020/","year":2020,"location":"Yokohama","dates":"January 2021 (postponed from 11-17 July 2020)","editors":"Christian Bessiere","isbn":"978-0-9992411-6-5","publisher":"International Joint Conferences on Artificial Intelligence Organization","doi_prefix":"10.24963/ijcai.2020"},"section":"Survey track","track":"Survey track","number":695,"pages":{"first":4997,"last":5003},"keywords":["Machine Learning: general","Information Retrieval and Filtering: general"],"videos":[],"references":[{"position":1,"raw":"[Beutel et al., 2018] Alex Beutel, Paul Covington, Sagar Jain, Can Xu, Jia Li, Vince Gatto, and Ed H. 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