My Mobile Music: An Adaptive Personalization System For Digital Audio Players

This paper develops a music recommendation system that automates the downloading of songs into a mobile digital audio device. The system tailors the composition of the songs to the preferences of individuals based on past behaviors. By assuming that an individual will listen longer to a song that provides a higher utility, we describe and predict individual listening behavior using a lognormal hazard function. Our recommendation system is the first to accomplish this and there is no viable alternative. Yet, our proposed approach provides an improvement over na├»ve methods that could be used for product recommendations. Our system has a number of distinct features…

Author: Chung, Tuck Siong

Source: University of Maryland

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