Non-transparent recommender system evaluation leads to misleading results

Abstract

Recommender systems have become a ubiquitous feature on the World Wide Web. Today, most websites use some form of recommendation to heighten their users’ experience. They do so by analyzing what items users have interacted with previously and analyze the interaction patterns generated.