TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications
Mobile applications are software packages that can be installed and executed in a mobile device. Which mobile application is trustworthy for a user to purchase, download, install, execute or recommend becomes a crucial issue that impacts its final success. This paper proposes TruBeRepec, a trust-beh...
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sg-smu-ink.sis_research-26262013-11-28T08:44:03Z TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications YAN, Zheng ZHANG, Peng DENG, Robert H. Mobile applications are software packages that can be installed and executed in a mobile device. Which mobile application is trustworthy for a user to purchase, download, install, execute or recommend becomes a crucial issue that impacts its final success. This paper proposes TruBeRepec, a trust-behavior-based reputation and recommender system for mobile applications. We explore a model of trust behavior for mobile applications based on the result of a large-scale user survey. We further develop a number of algorithms that are used to evaluate individual user’s trust in a mobile application through trust behavior observation, generate the application’s reputation by aggregating individual trust and provide application recommendations based on the correlation of trust behaviors. We show the practical significance of TruBeRepec through simulations and analysis with regard to effectiveness, robustness, and usability, as well as privacy. 2012-06-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/1627 info:doi/10.1007/s00779-011-0420-2 https://ink.library.smu.edu.sg/context/sis_research/article/2626/viewcontent/auto_convert.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Reputation systems Recommendation Trust Trust behavior Mobile applications Information Security |
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Reputation systems Recommendation Trust Trust behavior Mobile applications Information Security YAN, Zheng ZHANG, Peng DENG, Robert H. TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications |
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Mobile applications are software packages that can be installed and executed in a mobile device. Which mobile application is trustworthy for a user to purchase, download, install, execute or recommend becomes a crucial issue that impacts its final success. This paper proposes TruBeRepec, a trust-behavior-based reputation and recommender system for mobile applications. We explore a model of trust behavior for mobile applications based on the result of a large-scale user survey. We further develop a number of algorithms that are used to evaluate individual user’s trust in a mobile application through trust behavior observation, generate the application’s reputation by aggregating individual trust and provide application recommendations based on the correlation of trust behaviors. We show the practical significance of TruBeRepec through simulations and analysis with regard to effectiveness, robustness, and usability, as well as privacy. |
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text |
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YAN, Zheng ZHANG, Peng DENG, Robert H. |
author_facet |
YAN, Zheng ZHANG, Peng DENG, Robert H. |
author_sort |
YAN, Zheng |
title |
TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications |
title_short |
TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications |
title_full |
TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications |
title_fullStr |
TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications |
title_full_unstemmed |
TruRepec: A Trust-behavior-based Reputation and Recommender System for Mobile Applications |
title_sort |
trurepec: a trust-behavior-based reputation and recommender system for mobile applications |
publisher |
Institutional Knowledge at Singapore Management University |
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2012 |
url |
https://ink.library.smu.edu.sg/sis_research/1627 https://ink.library.smu.edu.sg/context/sis_research/article/2626/viewcontent/auto_convert.pdf |
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