Pagonis, John and Clark, Adrian F (2010) Engene: A genetic algorithm classifier for content-based recommender systems that does not require continuous user feedback. In: 2010 UK Workshop on Computational Intelligence (UKCI), 2010-09-08 - 2010-09-10.
Pagonis, John and Clark, Adrian F (2010) Engene: A genetic algorithm classifier for content-based recommender systems that does not require continuous user feedback. In: 2010 UK Workshop on Computational Intelligence (UKCI), 2010-09-08 - 2010-09-10.
Pagonis, John and Clark, Adrian F (2010) Engene: A genetic algorithm classifier for content-based recommender systems that does not require continuous user feedback. In: 2010 UK Workshop on Computational Intelligence (UKCI), 2010-09-08 - 2010-09-10.
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 Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
| SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
| Depositing User: | Unnamed user with email elements@essex.ac.uk |
| Date Deposited: | 15 Jul 2015 16:00 |
| Last Modified: | 24 Oct 2024 20:41 |
| URI: | http://repository.essex.ac.uk/id/eprint/9209 |
Available files
Filename: Engene a genetic algorithm classifier for content-based recommender systems that does not require continuous user feedback.pdf