Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Does Trust Influence Information Similarity?

Lee, Danielle H and Brusilovsky, Peter (2009) Does Trust Influence Information Similarity? In: Workshop on Recommender Systems & the Social Web (RSWeb).

Published Version

Download (187kB) | Preview
[img] Plain Text (licence)
Download (1kB)


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.


Social Networking:
Share |


Item Type: Conference or Workshop Item (Paper)
Status: Published
CreatorsEmailPitt UsernameORCID
Lee, Danielle Hhyl12@pitt.eduHYL12
Brusilovsky, Peterpeterb@pitt.eduPETERB0000-0002-1902-1464
Date: 2009
Date Type: Publication
Event Title: Workshop on Recommender Systems & the Social Web (RSWeb)
Event Type: Conference
Schools and Programs: School of Information Sciences > Information Science
Refereed: Yes
Official URL:
Date Deposited: 24 Apr 2012 14:13
Last Modified: 28 Jul 2022 18:31


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item