基因:基于内容的推荐系统的遗传算法分类器，不需要持续的用户反馈

2010 UK Workshop on Computational Intelligence (UKCI) Pub Date : 2010-11-09 DOI:10.1109/UKCI.2010.5625594

J. Pagonis, A. Clark

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引用次数: 7

摘要

我们提出了Engene，一个基于遗传算法的分类器，设计用于基于内容的推荐系统。一旦启动，基因就不需要任何人类的反馈。虽然它主要用作在线分类器，但在本文中，我们将其用作单类文档批分类器，并将其性能与单类k-NN分类器进行比较。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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

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 on-line classifier, in this paper we present its use as a one-class document batch classifier and compare its performance against that of a one-class k-NN classifier.

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2010 UK Workshop on Computational Intelligence (UKCI)

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