Intelligent anticipated exploration of Web sites

Article type: Research Article

Authors: Ianni, Giovambattista

Affiliations: Dipartimento di Matematica, Università della Calabria, 87036 Rende (CS), Italy E‐mail: [email protected]

Abstract: In this paper we describe a Web search agent, called Global Search Agent (hereafter GSA for short). GSA integrates and enhances several search techniques in order to achieve significant improvements in the user‐perceived quality of delivered information as compared to usual Web search engines. GSA features intelligent merging of relevant documents from different search engines, anticipated selective exploration and evaluation of links from the current result set, automated derivation of refined queries based on user relevance feedback. System architecture as well as experimental accounts are also illustrated.

Keywords: Intelligent agents, information retrieval, relevance feedback

Journal: AI Communications, vol. 14, no. 4, pp. 197-214, 2001