A Computational Market for Information Filtering in Multi-Dimensional Spaces

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TypeArticle
ConferenceProceedings of the AAAI Fall Symposium on AI Applications in Knowledge Navigation and Retrieval, November 10-12, 1995., Cambridge, Massachusetts, USA
AbstractThis paper presents the computational market of SIGMA (System of Information Gathering Market-based Agents) as a model of decentralized decision making for the task of information filtering in multi-dimensional spaces as the Usenet Netnews. Different learning and adaptation techniques are integrated within SIGMA for creating a robust network-based application which adapts to both changes in the characteristics of the information available on the network as well as to changes in individual users' information interests. The functionality of the system is discussed together with work underway for its evaluation.
Publication date
LanguageEnglish
AffiliationNRC Institute for Information Technology; National Research Council Canada
Peer reviewedNo
NRC number38387
NPARC number8913425
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Record identifier52ffc69b-9e26-4214-aa34-2e354d6101de
Record created2009-04-22
Record modified2016-05-09
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