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Towards personalised web intelligence
Author(s) -
AhHwee Tan,
HweeLeng Ong,
Hong Pan,
Jamie Ng,
Qiuxiang Li
Publication year - 2004
Publication title -
knowledge and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.634
H-Index - 76
eISSN - 0219-1377
pISSN - 0219-3116
DOI - 10.1007/s10115-003-0130-9
Subject(s) - computer science , personalization , cluster analysis , matching (statistics) , set (abstract data type) , information retrieval , entropy (arrow of time) , key (lock) , recommender system , data mining , world wide web , artificial intelligence , statistics , physics , mathematics , computer security , quantum mechanics , programming language
The Flexible Organizer for Competitive Intelligence (FOCI) is a personalised web intelligence system that provides an integrated platform for gathering, organising, tracking, and disseminating competitive information on the web. FOCI builds personalised information portfolios through a novel method called User-Configurable Clustering, which allows a user to personalise his/her portfolios in terms of the content as well as the organisational structure. This paper outlines the key challenges we face in personalised information management and gives a detailed account of FOCI's underlying personalisation mechanism. For a quantitative evaluation of the system's performance, we propose a set of performance indices based on information entropy that measures the degree of matching between a system-generated cluster structure and a user-preferred category organisation. Experimental results of a case study show that FOCI's personalisation increases the degree of matching tremendously after a reasonable number of operations. In addition, the personalised portfolios can be used to track and organise new information with a good level of performance.

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