Title
Investigating interactions of trust and interest similarity
Abstract
Online communities that allow their users to express their personal preferences, such as the members they trust and the products they appreciate, are becoming increasingly popular. Exploiting these communities as playgrounds for sociological research we present two frameworks for analyzing the correlation between interpersonal trust and interest similarity. We obtain empirical results from applying the two frameworks on two real, operational communities, that suggest there is a strong correlation between both trust and interest similarity. We believe our findings particularly relevant for ongoing research in recommender systems and collaborative filtering, where people are suggested products based on their similarity with other customers, and propose ways in which trust models can be integrated into these systems.
Year
DOI
Venue
2007
10.1016/j.dss.2006.11.003
Decision Support Systems
Keywords
Field
DocType
empirical result,collaborative filtering,interpersonal trust,sociological research,trust,strong correlation,similarity,distributed systems,e-commerce,personal preference,operational community,trust model,ongoing research,interest similarity,online community,e commerce,distributed system,recommender system
Recommender system,Similitude,Collaborative filtering,Interpersonal communication,Computer science,Knowledge management,Web community,Case-based reasoning,E-commerce
Journal
Volume
Issue
ISSN
43
2
Decision Support Systems
Citations 
PageRank 
References 
179
6.11
35
Authors
2
Search Limit
100179
Name
Order
Citations
PageRank
Cai-Nicolas Ziegler1150783.74
Jennifer Golbeck23332233.90