Using Q-Learning for Web Recommendations from Web Usage Data

Abstract

With the rapid growth of the World Wide Web, the amount of information available online is increasing with an enormous pace. Recommender systems aim at pruning this information space and directing users toward the items that best meet their needs and interests. In this paper we propose a novel machine learning perspective toward the problem, based on… (More)

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