Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems
Author
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-05
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
With the rapid development of information technology, the information overload has become a very serious problem in web information environment.
The personalized recommendation came into being.
Current recommending algorithms, however, are facing a series of challenges.
To solve the problem of the complex context, a new context recommendation algorithm based on the tripartite graph model is proposed for the three-dimensional model in complex systems.
Improving the accuracy of the recommendation by the material diffusion, through the heat conduction to improve the diversity of the recommended objects, and balancing the accuracy and diversity through the integration of resources thus realize the personalized recommendation.
The experimental results show that the proposed context recommendation algorithm based on the tripartite graph model is superior to other traditional recommendation algorithms in recommendation performance.
American Psychological Association (APA)
Long, Fei. 2020. Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems. Complexity،Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1143987
Modern Language Association (MLA)
Long, Fei. Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems. Complexity No. 2020 (2020), pp.1-11.
https://search.emarefa.net/detail/BIM-1143987
American Medical Association (AMA)
Long, Fei. Research of the Context Recommendation Algorithm Based on the Tripartite Graph Model in Complex Systems. Complexity. 2020. Vol. 2020, no. 2020, pp.1-11.
https://search.emarefa.net/detail/BIM-1143987
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1143987