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Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment
Author
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-05
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Information Technology and Computer Science
Abstract EN
With the development and popularization of e-commerce and Internet, more and more attention has been paid to personalized recommendation for users.
The traditional user interest model only considers the user’s behavior on the project, ignoring the user’s context at that time.
Pointing to the shortage that context-related factors are not considered in previous works, combining the characteristics of a mobile computing environment, this paper studies the algorithm and model of mobile service recommendation.
A recommendation algorithm based on specified context filtering in mobile computing environment is proposed.
The context of the classification is aggregated, by grouping the scenarios of the same category together.
Through experiments, we found that the improved personalized recommendation algorithms are superior to the common collaborative filtering algorithm.
American Psychological Association (APA)
Long, Fei. 2020. Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment. Wireless Communications and Mobile Computing،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214758
Modern Language Association (MLA)
Long, Fei. Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment. Wireless Communications and Mobile Computing No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1214758
American Medical Association (AMA)
Long, Fei. Improved Personalized Recommendation Algorithm Based on Context-Aware in Mobile Computing Environment. Wireless Communications and Mobile Computing. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1214758
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214758