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Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation
Joint Authors
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-12
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Telecommunications Engineering
Abstract EN
As the rapid development of mobile Internet and smart devices, more and more online content providers begin to collect the preferences of their customers through various apps on mobile devices.
These preferences could be largely reflected by the ratings on the online items with explicit scores.
Both of positive and negative ratings are helpful for recommender systems to provide relevant items to a target user.
Based on the empirical analysis of three real-world movie-rating data sets, we observe that users’ rating criterions change over time, and past positive and negative ratings have different influences on users’ future preferences.
Given this, we propose a recommendation model on a session-based temporal graph, considering the difference of long- and short-term preferences, and the different temporal effect of positive and negative ratings.
The extensive experiment results validate the significant accuracy improvement of our proposed model compared with the state-of-the-art methods.
American Psychological Association (APA)
Li, Wen-Jun& Dong, Qiang& Fu, Yan. 2017. Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation. Mobile Information Systems،Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1189242
Modern Language Association (MLA)
Li, Wen-Jun…[et al.]. Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation. Mobile Information Systems No. 2017 (2017), pp.1-10.
https://search.emarefa.net/detail/BIM-1189242
American Medical Association (AMA)
Li, Wen-Jun& Dong, Qiang& Fu, Yan. Investigating the Temporal Effect of User Preferences with Application in Movie Recommendation. Mobile Information Systems. 2017. Vol. 2017, no. 2017, pp.1-10.
https://search.emarefa.net/detail/BIM-1189242
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189242