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Recommendation Actively Utilizing User's Network of Trust

Lee, Danielle and Brusilovsky, Peter (2009) Recommendation Actively Utilizing User's Network of Trust. In: ACM RecSys '09 Workshop on Recommender Systems & the Social Web (3rd ACM International Conference on Recommender Systems), New York, NY, USA.

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Abstract

In collaborative filtering recommender systems, users cannot get involved in the choice of their peer group. It leaves users defenseless against various spamming or “shilling” attacks. Other social Web-based systems, however, allow users to self-select trustworthy peers and build a network of trust. We argue that users self-defined networks of trust could be valuable to increase the quality of recommendation in CF systems. To prove the feasibility of this idea we examined how similar are interests of users connected by a self-defined relationship in a social Web system, CiteuLike. Interest similarity was measured by similarity of items and meta-data they share. Our study shows that users connected by a network of trust exhibit significantly higher similarity on items and meta-data than non-connected users. This similarity is highest for directly connected users and decreases with the increase of distance between users.


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Details

Item Type: Conference or Workshop Item (Paper)
Status: Published
Creators/Authors:
CreatorsEmailPitt UsernameORCID
Lee, Daniellehyl12@pitt.eduHYL12
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Date: October 2009
Date Type: Publication
Event Title: ACM RecSys '09 Workshop on Recommender Systems & the Social Web (3rd ACM International Conference on Recommender Systems)
Event Type: Conference
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Official URL: http://ls13-www.cs.uni-dortmund.de/homepage/RSWEB/...
Related URLs:
Date Deposited: 06 Jul 2011 19:09
Last Modified: 02 Aug 2022 17:41
URI: http://d-scholarship.pitt.edu/id/eprint/5968

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