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

Secker, A. and Freitas, A.A. and Timmis, J. (2008) AISIID: An artificial immune system for interesting information discovery on the web. Applied Soft Computing, 8 (2). pp. 885-905. ISSN 1568-4946. (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1016/j.asoc.2007.07.007

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.

Item Type: Article
Uncontrolled keywords: web content mining; artificial immune system; interesting; information; AISIID
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Divisions: Faculties > Science Technology and Medical Studies > School of Computing
Depositing User: Maureen Cook
Date Deposited: 24 Feb 2009 17:08
Last Modified: 24 Feb 2009 17:08
Resource URI: http://kar.kent.ac.uk/id/eprint/15660 (The current URI for this page, for reference purposes)
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