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AISIID: An artificial immune system for interesting information discovery on the web

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Publication details

JournalAPPLIED SOFT COMPUTING
DatePublished - Mar 2008
Issue number2
Volume8
Number of pages21
Pages (from-to)885-905
Original languageEnglish

Abstract

There exist numerous systems for mining the web in search of relevant information but few exist for the discovery of interesting information. The discovery of interesting information is an advance on basic text mining in that it aims to identify text that is novel, unexpected or surprising to a user, whilst still being relevant. This article investigates the use of artificial immune systems (AIS) applied to discovery of interesting information. AIS are thought to confer the adaptability and learning required for this task. Artificial immune system for interesting information discovery (AISIID) is described in some detail, then an evaluative study is undertaken involving the subjective evaluation of the results by users. AISIID is found to discover pages rated more interesting by users than a comparative system. (c) 2007 Elsevier B.V. All rights reserved.

    Research areas

  • web content mining, artificial immune system, interesting, information, AISIID, ALGORITHMS

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