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Supporting Context-Aware Media Recommendations for Smart Phones

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6 Author(s)
Zhiwen Yu ; Sch. of Comput. Sci., Northwestern Polytech. Univ., Xi''an ; Xingshe Zhou ; Daqing Zhang ; Chung-Yau Chin
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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

Published in:

Pervasive Computing, IEEE  (Volume:5 ,  Issue: 3 )