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

Secker, Andrew D., Freitas, Alex A., Timmis, Jon (2008) AISIID: An artificial immune system for interesting information discovery on the web. Applied Soft Computing, 8 (2). pp. 885-905. ISSN 1568-4946. (doi:10.1016/j.asoc.2007.07.007) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:15660)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided.
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
DOI/Identification number: 10.1016/j.asoc.2007.07.007
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: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Maureen Cook
Date Deposited: 24 Feb 2009 17:08 UTC
Last Modified: 16 Nov 2021 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/15660 (The current URI for this page, for reference purposes)

University of Kent Author Information

Secker, Andrew D..

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Freitas, Alex A..

Creator's ORCID: https://orcid.org/0000-0001-9825-4700
CReDIT Contributor Roles:

Timmis, Jon.

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