Convolutional Matrix Factorization for Recommendation Explanation
|Title:||Convolutional Matrix Factorization for Recommendation Explanation||Authors:||Lu, Yichao
|Permanent link:||http://hdl.handle.net/10197/9941||Date:||11-Mar-2018||Online since:||2019-04-15T09:00:36Z||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.||Funding Details:||Science Foundation Ireland||Type of material:||Conference Publication||Publisher:||ACS||Series/Report no.:||Article No. 34||Copyright (published version):||2018 the Authors||Keywords:||Recommendation explanation; Convulutional neural network; Matrix factorization; Customer reviews||DOI:||10.1145/3180308.3180343||Language:||en||Status of Item:||Peer reviewed||Is part of:||IUI'18 Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion||Conference Details:||The 23rd International Conference on Intelligent User Interfaces Companion, Tokyo, Japan, 07-11 March 2018|
|Appears in Collections:||Insight Research Collection|
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