Convolutional Matrix Factorization for Recommendation Explanation
Refereed Conference Meeting Proceeding
In this paper, we introduce a novel recommendation model, which harnesses a convolutional neural network to mine meaningful information from customer reviews, and integrates it with matrix factorization algorithm seamlessly. It is a valid method to improve the transparency of CF algorithms.
23rd International Conference on Intelligent User Interfaces Companion
Digital Object Identifer (DOI):
National University of Ireland, Dublin (UCD)
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