Mobile Personalized Service Recommender Model Based on Sentiment Analysis and Privacy Concern

Joint Authors

Guo, Feipeng
Xiao, Liang
Lu, Qi-Bei

Source

Mobile Information Systems

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