A private and reliable recommendation system for social networks

T. Ryan Hoens; Marina Blanton; Nitesh V. Chawla

doi:10.1109/SocialCom.2010.124

A private and reliable recommendation system for social networks

T. Ryan Hoens
, Marina Blanton
, Nitesh V. Chawla

Department of Computer Science and Engineering

University at Buffalo

University of Notre Dame

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

27 Scopus citations

Abstract

With the proliferation of internet-based social networks into our lives, new mechanisms to control the release and use of personal data are required. As a step toward this goal, we develop a recommendation system which protects the privacy of user answers while allowing them to learn an aggregate weighted average of ratings. Due to the use of social network connections, the querier obtains a more relevant and trustworthy result than what generic anonymous recommendation systems can provide, while at the same time preserving user privacy. We also give experimental performance results for our solution and several recently developed secure computation techniques, which is of independent interest.

Original language	English
Title of host publication	Proceedings - SocialCom 2010
Subtitle of host publication	2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust
Pages	816-825
Number of pages	10
DOIs	https://doi.org/10.1109/SocialCom.2010.124
State	Published - 2010
Event	2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010 - Minneapolis, MN, United States Duration: Aug 20 2010 → Aug 22 2010

Publication series

Name	Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust

Conference

Conference	2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010
Country/Territory	United States
City	Minneapolis, MN
Period	08/20/10 → 08/22/10

Access to Document

10.1109/SocialCom.2010.124

Cite this

Hoens, T. R., Blanton, M., & Chawla, N. V. (2010). A private and reliable recommendation system for social networks. In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust (pp. 816-825). Article 5591460 (Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust). https://doi.org/10.1109/SocialCom.2010.124

Hoens, T. Ryan ; Blanton, Marina ; Chawla, Nitesh V. / A private and reliable recommendation system for social networks. Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. pp. 816-825 (Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust).

@inproceedings{f9b548a99c5440fda262d4109b53979c,

title = "A private and reliable recommendation system for social networks",

abstract = "With the proliferation of internet-based social networks into our lives, new mechanisms to control the release and use of personal data are required. As a step toward this goal, we develop a recommendation system which protects the privacy of user answers while allowing them to learn an aggregate weighted average of ratings. Due to the use of social network connections, the querier obtains a more relevant and trustworthy result than what generic anonymous recommendation systems can provide, while at the same time preserving user privacy. We also give experimental performance results for our solution and several recently developed secure computation techniques, which is of independent interest.",

author = "Hoens, \{T. Ryan\} and Marina Blanton and Chawla, \{Nitesh V.\}",

year = "2010",

doi = "10.1109/SocialCom.2010.124",

language = "English",

isbn = "9780769542119",

series = "Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust",

pages = "816--825",

booktitle = "Proceedings - SocialCom 2010",

note = "2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010 ; Conference date: 20-08-2010 Through 22-08-2010",

}

Hoens, TR, Blanton, M & Chawla, NV 2010, A private and reliable recommendation system for social networks. in Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust., 5591460, Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust, pp. 816-825, 2nd IEEE International Conference on Social Computing, SocialCom 2010, 2nd IEEE International Conference on Privacy, Security, Risk and Trust, PASSAT 2010, Minneapolis, MN, United States, 08/20/10. https://doi.org/10.1109/SocialCom.2010.124

A private and reliable recommendation system for social networks. / Hoens, T. Ryan; Blanton, Marina; Chawla, Nitesh V.
Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. p. 816-825 5591460 (Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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N2 - With the proliferation of internet-based social networks into our lives, new mechanisms to control the release and use of personal data are required. As a step toward this goal, we develop a recommendation system which protects the privacy of user answers while allowing them to learn an aggregate weighted average of ratings. Due to the use of social network connections, the querier obtains a more relevant and trustworthy result than what generic anonymous recommendation systems can provide, while at the same time preserving user privacy. We also give experimental performance results for our solution and several recently developed secure computation techniques, which is of independent interest.

AB - With the proliferation of internet-based social networks into our lives, new mechanisms to control the release and use of personal data are required. As a step toward this goal, we develop a recommendation system which protects the privacy of user answers while allowing them to learn an aggregate weighted average of ratings. Due to the use of social network connections, the querier obtains a more relevant and trustworthy result than what generic anonymous recommendation systems can provide, while at the same time preserving user privacy. We also give experimental performance results for our solution and several recently developed secure computation techniques, which is of independent interest.

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DO - 10.1109/SocialCom.2010.124

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SN - 9780769542119

T3 - Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust

SP - 816

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Hoens TR, Blanton M, Chawla NV. A private and reliable recommendation system for social networks. In Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust. 2010. p. 816-825. 5591460. (Proceedings - SocialCom 2010: 2nd IEEE International Conference on Social Computing, PASSAT 2010: 2nd IEEE International Conference on Privacy, Security, Risk and Trust). doi: 10.1109/SocialCom.2010.124

A private and reliable recommendation system for social networks

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