Supporting Context-Aware Media Recommendations for Smart Phones

Abstract

A context-aware media recommendation platform uses an NtimesM-dimensional model and a hybrid processing approach to support media recommendation, adaptation, and delivery for smart phones. To provide media recommendations for smart phones based on all three context categories, we present a generic and flexible NtimesM-dimensional (N2M) recommendation model. The model considers context information ranging from user preference and situation to device and network capability as input for both content and presentation recommendations. We propose a hybrid recommendation approach to synergize content-based, Bayesian-classifier, and rule-based methods. Based on the recommendation model and hybrid-processing approach, we built a context-aware media recommendation platform called CoMeR to support media recommendation, adaptation, and delivery for smart phones