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Intelligent information retrieval from the World Wide Web using fuzzy user modelling.
Author(s) -
Gary J. Mooney
Publication year - 2013
Publication title -
library and information research
Language(s) - English
Resource type - Journals
eISSN - 2752-7336
pISSN - 1756-1086
DOI - 10.29173/lirg379
Subject(s) - computer science , world wide web , the internet , fuzzy logic , work (physics) , information system , web intelligence , information needs , knowledge management , user information , data science , web development , artificial intelligence , engineering , mechanical engineering , electrical engineering
The ever-changing nature of information sources, coupled with the increased demand on dwindling academic resources, led librarians and other information professionals to recognise the need for information retrieval (IR) systems that can incorporate the expertise of the information professional and gather knowledge about the user's experiences and preferences (Werckert & Cooper, 1989). The explosion of available information resources brought about by the development of the Internet and the World-Wide Web (WWW) has strengthened this need. The goal is to produce an 'intelligent' IR system which would work with the user to satisfy their information needs, so the application of Artificial lntelligence (AI) techniques seems a likely approach to the problem (Morris, 1990).

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