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Recommender Systems: An Introduction Dietmar Jannach, Markus Zanker, Alexander Felfernig, Gerhard Friedrich
Publisher: Cambridge University Press

This blog entry introduces a state-of-the-art report written by Sirris on recommender systems. This report presents a general introduction to the topic and discusses major emerging challenges. Three specific problems can be distinguished for content-based filtering: Content description. The recommender problem; General scheme of a RS; Tools of the trade. Introduction to Recommender Systems. The paradox of choice; What is a Recommender System? Both content-based filtering and collaborative filtering have there strengths and weaknesses. In some domains generating a useful description of the content can be very difficult. Related Work (Recommender Systems Taxonomies). In domains where the items consist of music or video However, collaborative filtering does introduce certain problems of its own: Early rater problem. The Author introduced 5 papers, which offered different taxonomies.