Intelligent anticipated exploration of Web sites

Authors:
Giovambattista Ianni
Affiliations:
Dipartimento di Matematica, Università della Calabria, 87036 Rende (CS), Italy E‐mail: ianni@mat.unical.it
Venue:
AI Communications
Year:
2001

Citing 11
Cited 1

Information retrieval: data structures and algorithms

Information retrieval: data structures and algorithms
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Letizia: an agent that assists web browsing

IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
Syskill & webert: Identifying interesting web sites

AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1

An agent system reasoning about the web and the user

Proceedings of the 13th international World Wide Web conference on Alternate track papers & posters

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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.