System of recommendations of multimedia contents for academic communities in IDT environments
DOI:
https://doi.org/10.31908/19098367.594Keywords:
communities, recommendation, systems, iDT, mobile TVAbstract
Some of the reasons why Mobile TV based on the DVB-H standard is not widely used by viewers as conventional TV are the lack of support for bi-directional interaction when using TV services, the time required to switch from one channel to other, the relatively low average usage time of the mobile TV service, and the absence of an open middleware for the development of interactive mobile TV applications. This paper presents a recommendation system of multimedia content, based on collaborative filtering and using Naive Bayes classifier as an alternative to the problems of channel hopping and access to multimedia content on the television environment mentioned above. The recommendation system is part of a system of mobile TV services usage and has been evaluated by TV virtual academic communities, built in the ST-CAV project of Universidad del Cauca.
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