Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach
Joint Authors
Liao, Xiangwen
Zhang, Lingying
Wei, Jingjing
Yang, Dingda
Chen, Guolong
Source
Wireless Communications and Mobile Computing
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-10-03
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Information Technology and Computer Science
Abstract EN
User influence is a very important factor for microblog user recommendation in mobile social network.
However, most existing user influence analysis works ignore user’s temporal features and fail to filter the marketing users with low influence, which limits the performance of recommendation methods.
In this paper, a Tensor Factorization based User Cluster (TFUC) model is proposed.
We firstly identify latent influential users by neural network clustering.
Then, we construct a features tensor according to latent influential user’s opinion, activity, and network centrality information.
Furthermore, user influences are predicted by the latent factors resulting from the temporal restrained CP decomposition.
Finally, we recommend microblog users considering both user influence and content similarity.
Our experimental results show that the proposed model significantly improves recommendation performance.
Meanwhile, the mean average precision of TFUC outperforms the baselines with 3.4% at least.
American Psychological Association (APA)
Liao, Xiangwen& Zhang, Lingying& Wei, Jingjing& Yang, Dingda& Chen, Guolong. 2018. Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach. Wireless Communications and Mobile Computing،Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216398
Modern Language Association (MLA)
Liao, Xiangwen…[et al.]. Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach. Wireless Communications and Mobile Computing No. 2018 (2018), pp.1-11.
https://search.emarefa.net/detail/BIM-1216398
American Medical Association (AMA)
Liao, Xiangwen& Zhang, Lingying& Wei, Jingjing& Yang, Dingda& Chen, Guolong. Recommending Mobile Microblog Users via a Tensor Factorization Based on User Cluster Approach. Wireless Communications and Mobile Computing. 2018. Vol. 2018, no. 2018, pp.1-11.
https://search.emarefa.net/detail/BIM-1216398
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1216398