Provided is a rating prediction device including a posterior distribution calculation unit for taking, as a random variable according to a normal distribution, each of a first latent vector indicating a latent feature of a first item, a second latent vector indicating a latent feature of a second item, and a residual matrix Rh of a rank h (h = 0 to H) of a rating value matrix whose number of ranks is H and which has a rating value expressed by an inner product of the first and second latent vectors as an element and performing variational Bayesian estimation that uses a known rating value given as learning data, and thereby calculating variational posterior distributions of the first and second latent vectors, and a rating value prediction unit for predicting the rating value that is unknown by using the variational posterior distributions of the first and second latent vectors.
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