Title
Developing trust in recommender agents
Abstract
Trust is one of the most important social concepts that helps human agents to cope with their social environment and is present in all human interaction. Like in real world, agents should rely in some agents and mistrust in other ones to achieve a purpose. In this paper we develop a model of trust in the collaborative world as a new approach of recommender agents development. Mainly, we provide recommender agents with a technology to look for similar agents that advice him. The model presented comprehends the evolution of trust, that is, trust dynamics. Moreover, the model proposed emphasizes proactiveness since the agent looks for other agents in a lack for information situation instead of remaining passive or providing either a negative or empty answer to the user.
Year
DOI
Venue
2002
10.1145/544741.544811
AAMAS
Keywords
Field
DocType
collaborative world,social environment,trust dynamic,recommender agents development,recommender agent,real world,important social concept,empty answer,human interaction,human agent,trust
Social environment,Computer science,Knowledge management,Human interaction,Proactivity
Conference
ISBN
Citations 
PageRank 
1-58113-480-0
29
4.40
References 
Authors
4
3
Name
Order
Citations
PageRank
Miquel Montaner120523.60
Beatriz López2294.40
Josep Lluís De La Rosa326041.38