Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/25333
Title: An evolvable personal advisor to optimise internet search technologies
Authors: Montebello, Matthew
Gray, W. A.
Hurley, Steve
Keywords: Personal area networks (Computer networks)
Personal information management -- Software
World Wide Web
Search engines
Issue Date: 1998
Publisher: DEXA
Citation: Montebello, M., Gray, W. A., & Hurley, S. (1998). An evolvable personal advisor to optimise internet search technologies. Ninth International Conference on Databases and Expert Systems Applications (DEXA'98), Vienna. 531-540.
Abstract: The use of AI and the application of machine learning techniques to optimize services provided by existing internet search technologies is one way to control and manage the immense and ever-increasing volume of data published on the WWW. Users demand effective and efficient on-line information access to reduce information overload. In this paper we present a novel approach to achieve these objectives by generating information which is of a high recall quality - by reusing the output generated from major search engines and other previously developed systems; and of a high precision calibre - by generating specific user profiles after several interactions with the system. This paper discusses the design issues involved, as well as practical issues such as evolvability, profile generation, and the graphic user interface.
URI: https://www.um.edu.mt/library/oar//handle/123456789/25333
Appears in Collections:Scholarly Works - FacICTAI

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