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

Andrew Secker*, Alex A. Freitas, Jon Timmis

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (SciVal)

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.

Original languageEnglish
Pages (from-to)885-905
Number of pages21
JournalApplied Soft Computing Journal
Volume8
Issue number2
DOIs
Publication statusPublished - Mar 2008

Keywords

  • AISIID
  • Artificial immune system
  • Information
  • Interesting
  • Web content mining

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