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Convolutional Matrix Factorization for Recommendation Explanation

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
Abstract: 
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.
Conference Name: 
23rd International Conference on Intelligent User Interfaces Companion
Digital Object Identifer (DOI): 
10.1145/3180308.3180343
Publication Date: 
07/03/2018
Research Group: 
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
No