A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques
Metadata
Show full item recordAuthor
Herrera Viedma, Enrique; Porcel Gallego, Carlos Gustavo; López Herrera, Antonio Gabriel; Olvera Lobo, María DoloresEditorial
SPRINGER
Date
2004Referencia bibliográfica
Herrera-Viedma E., Porcel C., López A.G., Olvera M.D., Anaya K. (2004) A Fuzzy Linguistic Multi-agent Model for Information Gathering on the Web Based on Collaborative Filtering Techniques. In: Favela J., Menasalvas E., Chávez E. (eds) Advances in Web Intelligence. AWIC 2004. Lecture Notes in Computer Science, vol 3034. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24681-7_3
Sponsorship
Research Project TIC2003-07977Abstract
Information gathering in Internet is a complex activity. A
solution consists in to assist Internet users in their information gathering
processes by means of distributed intelligent agents in order to find the
fittest information to their information needs. In this paper we describe a
fuzzy linguistic multi-agent model that incorporates information filtering
techniques in its structure, i.e., a collaborative filtering agent. In such a
way, the information filtering possibilities of multi-agent system on the
Web are increased and its retrieval results are improved.