AAAI Publications, Workshops at the Twenty-Seventh AAAI Conference on Artificial Intelligence

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Movie Recommender System for Profit Maximization (Short LBP)
Amos Azaria, Avinatan Hassidim, Sarit Kraus, Adi Eshkol, Ofer Weintraub, Irit Netanely

Last modified: 2013-06-29


In this paper we provide an algorithm for utility maximization
of a movie supplier service, in two different settings, one with
prices and the other without. This algorithm is provided along
with an extensive experiment demonstrating its performance.
We also uncover a phenomenon where movie consumers prefer
watching and even paying for movies that they have already
seen in the past than movies that are new to them.


recommender systems; movies;

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