Year: 1996
Type: article
Abstract: This paper presents an adaptive model for multiagent coordination based on the metaphor of economic markets. This model has been used to develop SIGMA, a system for filtering Usenet netnews which is able to cope with the non-stationary and partially observable nature of the information filtering task at hand. SIGMA integrates a number of different learning and adaptation techniques, including reinforcement learning, bidding price adjustment, and relevance feedback. Aspects of these are discussed below. Introduction With the widespread availability of electronically stored information in such environments as the World Wide Web (WWW), it is becoming increasingly important to use automatic methods for filtering such information (Belkin and Croft 1992). Traditional off-line approaches to information filtering (IF) consist of building database indices upon which traditional search and retrieval algorithms are subsequently applied. Because of the need to manipulate vast numbers of heterogen...
Source: NPARC
Authors: Innes A. Ferguson, Grigoris Karakoulas
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W143762487