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Nonindependent Session Recommendation Based on Ordinary Differential Equation
Joint Authors
Yang, Zhenyu
Zhang, Mingge
Liu, Guojing
Li, Mingyu
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-02-10
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
The recommendation method based on user sessions is mainly to model sessions as sequences in the assumption that user behaviors are independent and identically distributed, and then to use deep semantic information mining through Deep Neural Networks.
Nevertheless, user behaviors may be a nonindependent intention at irregular points in time.
For example, users may buy painkillers, books, or clothes for different reasons at different times.
However, this has not been taken seriously in previous studies.
Therefore, we propose a session recommendation method based on Neural Differential Equations in an attempt to predict user behavior forward or backward from any point in time.
We used Ordinary Differential Equations to train the Graph Neural Network and could predict forward or backward at any point in time to model the user's nonindependent sessions.
We tested for four real datasets and found that our model achieved the expected results and was superior to the existing session-based recommendations.
American Psychological Association (APA)
Yang, Zhenyu& Zhang, Mingge& Liu, Guojing& Li, Mingyu. 2020. Nonindependent Session Recommendation Based on Ordinary Differential Equation. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202137
Modern Language Association (MLA)
Yang, Zhenyu…[et al.]. Nonindependent Session Recommendation Based on Ordinary Differential Equation. Mathematical Problems in Engineering No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1202137
American Medical Association (AMA)
Yang, Zhenyu& Zhang, Mingge& Liu, Guojing& Li, Mingyu. Nonindependent Session Recommendation Based on Ordinary Differential Equation. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1202137
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1202137