Understanding the Psychology of Internet Behaviour: Virtual Worlds, Real Lives
Understanding the Psychology of Internet Behaviour: Virtual Worlds, Real Lives
Spreading Activation Models for Trust Propagation
EEE '04 Proceedings of the 2004 IEEE International Conference on e-Technology, e-Commerce and e-Service (EEE'04)
Investigating interactions of trust and interest similarity
Decision Support Systems
A model of a trust-based recommendation system on a social network
Autonomous Agents and Multi-Agent Systems
Trust and nuanced profile similarity in online social networks
ACM Transactions on the Web (TWEB)
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Presently, people often create and keep lists of other people with similar preferences for hobbies, such as books, movies, music, and food in online social network service systems. Recent studies in recommender systems have shown that the user's data can be used to recommend items based on other users' preferences (e.g. as implemented in amazon.com). To make such systems more effective, there is a need to understand the mechanism of human trust formation. The goal of this study is to develop cognitive models describing the trust formation in social networks. This paper presents results of a controlled experiment conducted to collect human behavior data through a series of trust evaluation tasks.