Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Visual Who: animating the affinities and activities of an electronic community
Proceedings of the third ACM international conference on Multimedia
Social information filtering: algorithms for automating “word of mouth”
CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PHOAKS: a system for sharing recommendations
Communications of the ACM
Referral Web: combining social networks and collaborative filtering
Communications of the ACM
Socialware: multiagent systems for supporting network communities
Communications of the ACM
Socially translucent systems: social proxies, persistent conversation, and the design of “babble”
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
An algorithmic framework for performing collaborative filtering
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Haystack: per-user information environments
Proceedings of the eighth international conference on Information and knowledge management
Building a Network Community Support System on the Multi-agent Platform Shine
PRIMA '00 Proceedings of the Third Pacific Rim International Workshop on Multi-Agents: Design and Applications of Intelligent Agents
CIA '98 Proceedings of the Second International Workshop on Cooperative Information Agents II, Learning, Mobility and Electronic Commerce for Information Discovery on the Internet
Community Organizer: Supporting the Formation of Network Communities through Spatial Representation
SAINT '01 Proceedings of the 2001 Symposium on Applications and the Internet (SAINT 2001)
An XML-based agent model for supporting user activities on the Web
Web Intelligence and Agent Systems
A web service recommendation system based on users' reputations
PRIMA'11 Proceedings of the 14th international conference on Agents in Principle, Agents in Practice
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Many systems have been developed to support people in forming communities and communicating with others in the communities. However, community support systems are not only concerned with community formation and communication. Namely, they give people the chance to make use of the communities for personal activities, e.g., they can use other members' knowledge to select information items that are high in quality and conform to the user's individual tastes. Collaborative filtering is a recommendation method that utilizes evaluations given by other users, and is therefore useful for users to obtain desired and relevant information items in a community. In this paper, we present an agent architecture of a community support system with a collaborative filtering method to recommend appropriate information items to users.