A personalised information retrieval tool

Authors:
Innes Martin;Joemon M. Jose
Affiliations:
University of Glasgow, Glasgow, Scotland;University of Glasgow, Glasgow, Scotland
Venue:
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Year:
2003

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Abstract

Industry professionals and everyday users of the Internet have long accepted that due to both the size and growth of this ubiquitous repository, new tools are needed to assist with the finding and extraction of very specific resources relevant to a user's task. Previously, this definition of relevance has been based on the extremely generic matching between resources and query terms, but recently the emphasis is shifting towards a more personalised model based on the relevance of a particular resource for one specific user. We introduce a prototype, \tt Fetch, which adopts this concept within an information-seeking environment specifically designed to provide users with the means to better describe a problem (s)he doesn't understand.