Sequential recommender systems: Challenges, progress and prospects

Wang, S; Hu, L; Wang, Y; Cao, L; Sheng, QZ; Orgun, M

Sequential recommender systems: Challenges, progress and prospects

Wang, S

Hu, L Wang, Y Cao, L Sheng, QZ Orgun, M

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Publisher:: International Joint Conferences on Artificial Intelligence Organization
Publication Type:: Conference Proceeding
Citation:: IJCAI International Joint Conference on Artificial Intelligence, 2019, 2019-August, pp. 6332-6338
Issue Date:: 2019-01-01

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Field	Value	Language
dc.contributor.author	Wang, S https://orcid.org/0000-0003-1133-9379
dc.contributor.author	Hu, L
dc.contributor.author	Wang, Y
dc.contributor.author	Cao, L
dc.contributor.author	Sheng, QZ
dc.contributor.author	Orgun, M
dc.date	2019-08-10
dc.date.accessioned	2020-06-17T03:43:10Z
dc.date.available	2020-06-17T03:43:10Z
dc.date.issued	2019-01-01
dc.identifier.citation	IJCAI International Joint Conference on Artificial Intelligence, 2019, 2019-August, pp. 6332-6338
dc.identifier.isbn	9780999241141
dc.identifier.issn	1045-0823
dc.identifier.uri	http://hdl.handle.net/10453/141474
dc.description.abstract	© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. The emerging topic of sequential recommender systems (SRSs) has attracted increasing attention in recent years. Different from the conventional recommender systems (RSs) including collaborative filtering and content-based filtering, SRSs try to understand and model the sequential user behaviors, the interactions between users and items, and the evolution of users' preferences and item popularity over time. SRSs involve the above aspects for more precise characterization of user contexts, intent and goals, and item consumption trend, leading to more accurate, customized and dynamic recommendations. In this paper, we provide a systematic review on SRSs. We first present the characteristics of SRSs, and then summarize and categorize the key challenges in this research area, followed by the corresponding research progress consisting of the most recent and representative developments on this topic. Finally, we discuss the important research directions in this vibrant area.
dc.language	en
dc.publisher	International Joint Conferences on Artificial Intelligence Organization
dc.relation.ispartof	IJCAI International Joint Conference on Artificial Intelligence
dc.relation.ispartof	Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}
dc.relation.isbasedon	10.24963/ijcai.2019/883
dc.rights	info:eu-repo/semantics/openAccess
dc.title	Sequential recommender systems: Challenges, progress and prospects
dc.type	Conference Proceeding
utslib.citation.volume	2019-August
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2020-06-17T03:43:04Z
pubs.finish-date	2019-08-16
pubs.publication-status	Published
pubs.start-date	2019-08-10
pubs.volume	2019-August

Abstract:

© 2019 International Joint Conferences on Artificial Intelligence. All rights reserved. The emerging topic of sequential recommender systems (SRSs) has attracted increasing attention in recent years. Different from the conventional recommender systems (RSs) including collaborative filtering and content-based filtering, SRSs try to understand and model the sequential user behaviors, the interactions between users and items, and the evolution of users' preferences and item popularity over time. SRSs involve the above aspects for more precise characterization of user contexts, intent and goals, and item consumption trend, leading to more accurate, customized and dynamic recommendations. In this paper, we provide a systematic review on SRSs. We first present the characteristics of SRSs, and then summarize and categorize the key challenges in this research area, followed by the corresponding research progress consisting of the most recent and representative developments on this topic. Finally, we discuss the important research directions in this vibrant area.

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http://hdl.handle.net/10453/141474