SHMF: Interest Prediction Model with Social Hub Matrix Factorization
Joint Authors
Cui, Chaoyuan
Wang, Hongze
Wu, Yun
Gao, Sen
Yan, Shu
Source
Mathematical Problems in Engineering
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-08-22
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
With the development of social networks, microblog has become the major social communication tool.
There is a lot of valuable information such as personal preference, public opinion, and marketing in microblog.
Consequently, research on user interest prediction in microblog has a positive practical significance.
In fact, how to extract information associated with user interest orientation from the constantly updated blog posts is not so easy.
Existing prediction approaches based on probabilistic factor analysis use blog posts published by user to predict user interest.
However, these methods are not very effective for the users who post less but browse more.
In this paper, we propose a new prediction model, which is called SHMF, using social hub matrix factorization.
SHMF constructs the interest prediction model by combining the information of blogs posts published by both user and direct neighbors in user’s social hub.
Our proposed model predicts user interest by integrating user’s historical behavior and temporal factor as well as user’s friendships, thus achieving accurate forecasts of user’s future interests.
The experimental results on Sina Weibo show the efficiency and effectiveness of our proposed model.
American Psychological Association (APA)
Cui, Chaoyuan& Wang, Hongze& Wu, Yun& Gao, Sen& Yan, Shu. 2017. SHMF: Interest Prediction Model with Social Hub Matrix Factorization. Mathematical Problems in Engineering،Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1189491
Modern Language Association (MLA)
Cui, Chaoyuan…[et al.]. SHMF: Interest Prediction Model with Social Hub Matrix Factorization. Mathematical Problems in Engineering No. 2017 (2017), pp.1-12.
https://search.emarefa.net/detail/BIM-1189491
American Medical Association (AMA)
Cui, Chaoyuan& Wang, Hongze& Wu, Yun& Gao, Sen& Yan, Shu. SHMF: Interest Prediction Model with Social Hub Matrix Factorization. Mathematical Problems in Engineering. 2017. Vol. 2017, no. 2017, pp.1-12.
https://search.emarefa.net/detail/BIM-1189491
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1189491