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A novel method to construct a network based on heterogeneous features obtained from music videos and social metadata for music video recommendation is presented in this paper. The proposed method enables construction of the network that can accurately associate users with music videos corresponding to their preference by the collaborative use of audio and textual features obtained from music videos...
This paper presents popular music estimation based on a topic model using time information and audio features. The proposed method calculates latent topic distribution using Latent Dirichlet Allocation to obtain more accurate music features. In this approach, we also use release date information of each music as time information for concerning the relationship between music trends and each age. Then,...
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