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Interpreting Video Recommendation Mechanisms by Mining View Count Traces.

IEEE Transactions on Multimedia(2018)

Cited 15|Views46
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Abstract
All large-scale online video systems, for example, Netflix and Youku, make a significant investment on video recommendations that can dramatically affect video information diffusion processes among users. However, there is a lack of efficient methodology to interpret how various recommendation mechanisms affect information diffusion processes resulting in the difficulty to evaluate video recommend...
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Key words
Diffusion processes,Sociology,Statistics,Electronic mail,Australia,Analytical models,YouTube
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