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Engene: A genetic algorithm classifier for content-based recommender systems that does not require continuous user feedback

Pagonis, J and Clark, AF (2010) Engene: A genetic algorithm classifier for content-based recommender systems that does not require continuous user feedback. In: UNSPECIFIED, ? - ?.

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Abstract

We present Engene, a genetic algorithm based classifier which is designed for use in content-based recommender systems. Once bootstrapped Engene does not need any human feedback. Although it is primarily used as an online classifier, in this paper we present its use as a one-class document batch classifier and compare its performance against that of a one-elms k-NN classifier.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: 2010 UK Workshop on Computational Intelligence, UKCI 2010
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Clare Chatfield
Date Deposited: 15 Jul 2015 16:00
Last Modified: 17 Aug 2017 17:52
URI: http://repository.essex.ac.uk/id/eprint/9209

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