Intelligent information-sharing systems
Communications of the ACM
Information filtering and information retrieval: two sides of the same coin?
Communications of the ACM - Special issue on information filtering
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
GroupLens: an open architecture for collaborative filtering of netnews
CSCW '94 Proceedings of the 1994 ACM conference on Computer supported cooperative work
Recommending and evaluating choices in a virtual community of use
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The Contract Net Protocol: High-Level Communication and Control in a Distributed Problem Solver
IEEE Transactions on Computers
| Hi-index | 0.00 |
This paper describes a multi-agent approach to collaborative filtering. The system combines traditional content filtering (using a semantic network representation and a spreading activation search for comparison) and social filtering (achieved via agent communication which is effectively triggered by user feedback). Collaborative relationships form between the agents as agents learn to trust or distrust other agents. The system aids users in overcoming the problem of information overload by presenting, on a daily basis, a 'personalised newspaper' comprising articles relevant to the user.