Lee, DH and Brusilovsky, P
(2009)
Does trust influence information similarity?
In: UNSPECIFIED.
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
(UNSPECIFIED)
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| Status: |
Published |
| Creators/Authors: |
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| Date: |
1 December 2009 |
| Date Type: |
Publication |
| Journal or Publication Title: |
CEUR Workshop Proceedings |
| Volume: |
532 |
| Page Range: |
71 - 74 |
| Event Type: |
Conference |
| Institution: |
University of Pittsburgh |
| Schools and Programs: |
School of Information Sciences > Information Science |
| Refereed: |
Yes |
| ISSN: |
1613-0073 |
| Related URLs: |
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| Date Deposited: |
06 Jul 2011 19:21 |
| Last Modified: |
02 Aug 2022 17:42 |
| URI: |
http://d-scholarship.pitt.edu/id/eprint/5973 |
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