A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context
Joint Authors
Tang, Zhijing
Ma, Chuang
Daneshmand, Mahmoud
Xu, Guangxia
Liu, Yanbing
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-06-17
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Information Technology and Computer Science
Abstract EN
Complex and diverse information is flooding entire networks because of the rapid development of mobile Internet and information technology.
Under this condition, it is difficult for a person to locate and access useful information for making decisions.
Therefore, the personalized recommendation system which utilizes the user’s behaviour information to recommend interesting items emerged.
Currently, collaborative filtering has been successfully utilized in personalized recommendation systems.
However, under the condition of extremely sparse rating data, the traditional method of similarity between users is relatively simple.
Moreover, it does not consider that the user’s interest will change over time, which results in poor performance.
In this paper, a new similarity measure method which considers user confidence and time context is proposed to preferably improve the similarity calculation between users.
Finally, the experimental results demonstrate that the proposed algorithm is suitable for the sparse data and effectively improves the prediction accuracy and enhances the recommendation quality at the same time.
American Psychological Association (APA)
Xu, Guangxia& Tang, Zhijing& Ma, Chuang& Liu, Yanbing& Daneshmand, Mahmoud. 2019. A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1173795
Modern Language Association (MLA)
Xu, Guangxia…[et al.]. A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-12.
https://search.emarefa.net/detail/BIM-1173795
American Medical Association (AMA)
Xu, Guangxia& Tang, Zhijing& Ma, Chuang& Liu, Yanbing& Daneshmand, Mahmoud. A Collaborative Filtering Recommendation Algorithm Based on User Confidence and Time Context. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-12.
https://search.emarefa.net/detail/BIM-1173795
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173795