Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern
Joint Authors
Guo, Feipeng
Xiao, Liang
Lu, Qi-Bei
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-13, 13 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-06-03
Country of Publication
Egypt
No. of Pages
13
Main Subjects
Telecommunications Engineering
Abstract EN
The existing mobile personalized service (MPS) gives little consideration to users’ privacy.
In order to address this issue and some other shortcomings, the paper proposes a MPS recommender model for item recommendation based on sentiment analysis and privacy concern.
First, the paper puts forward sentiment analysis algorithm based on sentiment vocabulary ontology and then clusters the users based on sentiment tendency.
Second, the paper proposes a measurement algorithm, which integrates personality traits with privacy preference intensity, and then clusters the users based on personality traits.
Third, this paper achieves a hybrid collaborative filtering recommendation by combining sentiment analysis with privacy concern.
Experiments show that this model can effectively solve the problem of MPS data sparseness and cold start.
More importantly, a combination of subjective privacy concern and objective recommendation technology can reduce the influence of users’ privacy concerns on their acceptance of MPS.
American Psychological Association (APA)
Xiao, Liang& Guo, Feipeng& Lu, Qi-Bei. 2018. Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern. Mobile Information Systems،Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1204986
Modern Language Association (MLA)
Xiao, Liang…[et al.]. Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern. Mobile Information Systems No. 2018 (2018), pp.1-13.
https://search.emarefa.net/detail/BIM-1204986
American Medical Association (AMA)
Xiao, Liang& Guo, Feipeng& Lu, Qi-Bei. Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern. Mobile Information Systems. 2018. Vol. 2018, no. 2018, pp.1-13.
https://search.emarefa.net/detail/BIM-1204986
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1204986