Multimedia Collaborative Filtering and Recommendation Based on Cloud

Due to the rapid growth of internet broadband access and proliferation of modern mobile devices, various types of multimedia (e.g. text, images, audios and videos) have become ubiquitously available anytime. The authors argue that evaluating the user experience of are commander requires a broader set of measures than have been commonly used and suggest additional measures that have proven effective. Based on their analysis of the state of the field, they identify the most important open research problems and outline key challenges slowing the advance of the state of the art and in some cases limiting the relevance of research to real-world applications. In this paper, they examine the importance of mobile multimedia recommendation systems from the perspective of three smart communities, namely, mobile social learning, mobile event guide and context-aware services. Collaborative Filtering (CF) is the process of filtering or evaluating items through the opinions of other people.

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International Journal of Computer Science and Mobile Computing (IJCSMC)