Trust-based recommendation based on graph similarity (2010)
| Venue: | in AAMAS Workshop on Trust in Agent Societies (Trust |
| Citations: | 2 - 0 self |
BibTeX
@INPROCEEDINGS{Hang10trust-basedrecommendation,
author = {Chung-wei Hang and Munindar P. Singh},
title = {Trust-based recommendation based on graph similarity},
booktitle = {in AAMAS Workshop on Trust in Agent Societies (Trust},
year = {2010}
}
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Abstract
Abstract. Trust networks are directed weighted graphs whose nodes represent agents and edges represent trust between agents. This paper proposes a trust-based recommendation approach, which can recommend trustworthy agents to a requester in a trust network. We consider a good recommendation as one to an agent that the requester’s trusted neighbors trust highly. We relate the recommendation problem to the graph similarity problem, and define the similarity measurement as a mutually reinforcing relation. By calculating the vertex similarity between the trust network and a structure graph (a path graph of length three), we can produce a recommendation based on similarity scores that reflect both the link structure and the trust values on the edges.
