Abstract:To improve product recommendation network, this paper mainly proposes a product similarity calculation algorithm based on deep confidence network. A high-dimensional product is firstly constructed and then input into the DBN model to obtain low-dimensional product feature data. Founded on the low-dimensional product feature data, the similarity between products can be calculated by the cosine formula. Through the data experiment, it is found that as the output dimension of the low-dimensional product feature m… Show more
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