Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Communications of the ACM
Mining navigation history for recommendation
Proceedings of the 5th international conference on Intelligent user interfaces
Intermediaries: an approach to manipulating information streams
IBM Systems Journal
Exploring the Web with reconnaissance agents
Communications of the ACM
A biology-inspired model for the automatic dissemination of information in P2P networks
Multiagent and Grid Systems - Special Issue on Nature inspired systems for parallel, asynchronous and decentralised environments
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
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The experience of a trusted group of colleagues can help users improve the quality and focus of their browsing and searching activities. How could a system provide such help, when and where the users need it, without disrupting their normal work activities? This paper describes Context-Aware Proxy based System (CAPS), an agent that recommends pages and annotates links to reveal their relative popularity among the users colleagues, matched with their automatically computed interest profiles. A Web proxy tracks browsing habits, so CAPS requires no explicit input from the user. We review here CAPS design principles and implementation. We tested user satisfaction with the interface and the accuracy of the ranking algorithm. These experiments indicate that CAPS has high potential to support effective ranking for quality judgment - by users