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

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 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.