A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion
Joint Authors
Tian, Guanglai
Zhou, Shuang
Sun, Gengxin
Chen, Chih-Cheng
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-16
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
Social recommendation algorithm is a common tool for recommending interesting or potentially useful items to users amidst the sea of online information.
The users usually have various relationships, each of which has its unique impact on the recommendation results.
It is unlikely to make accurate recommendations solely based on one relationship.
Based on user-item bipartite graph, this paper establishes a multisubnet composited complex network (MSCCN) of multiple user relationships and then extends the mass diffusion (MD) algorithm into a novel intelligent recommendation algorithm.
Two public online datasets, namely, Epinions and FilmTrust, were selected to verify the effect of the proposed algorithm.
The results show that the proposed intelligent recommendation algorithm with two types of relationships made much more accurate recommendations than that with a single relationship and the traditional MD algorithm.
American Psychological Association (APA)
Tian, Guanglai& Zhou, Shuang& Sun, Gengxin& Chen, Chih-Cheng. 2020. A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion. Discrete Dynamics in Nature and Society،Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1153066
Modern Language Association (MLA)
Tian, Guanglai…[et al.]. A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion. Discrete Dynamics in Nature and Society No. 2020 (2020), pp.1-9.
https://search.emarefa.net/detail/BIM-1153066
American Medical Association (AMA)
Tian, Guanglai& Zhou, Shuang& Sun, Gengxin& Chen, Chih-Cheng. A Novel Intelligent Recommendation Algorithm Based on Mass Diffusion. Discrete Dynamics in Nature and Society. 2020. Vol. 2020, no. 2020, pp.1-9.
https://search.emarefa.net/detail/BIM-1153066
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1153066