Yenta: a multi-agent, referral-based matchmaking system
AGENTS '97 Proceedings of the first international conference on Autonomous agents
Matchmaking for autonomous agents in electronic marketplaces
Proceedings of the fifth international conference on Autonomous agents
Multi-agent visualisation based on multivariate data
Proceedings of the fifth international conference on Autonomous agents
Incremental clustering for profile maintenance in information gathering web agents
Proceedings of the fifth international conference on Autonomous agents
Matchmaking among minimal agents without a facilitator
Proceedings of the fifth international conference on Autonomous agents
Approaches to visualisation in bioinformatics: from dendrograms to space explorer
Information Sciences: an International Journal
Using Similarity Criteria to Make Negotiation Trade-Offs
ICMAS '00 Proceedings of the Fourth International Conference on MultiAgent Systems (ICMAS-2000)
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Profile carrying agents offer the opportunity of meeting like minds and increasing efficiency in many information search applications. Profiles can also increase the sophistication of relationships and interactions in multi-agent systems in general. Such profiles or feature lists may be of the agent owner or of the information sought. Two key issues are choice of similarity measure and privacy of profiles. In this paper we adapt techniques used in information visualization and classification to address these two problems. The basic idea is to map the high dimensional profiles into a low dimensional space. The mapping is one-way, so that privacy is achieved. To compare mapped profiles in the low dimensional space, we discuss the choice of a number of similarity measures.