Parallel Multi-View Graph Matrix Completion for Large Input Matrix

We propose a method for parallel multi-view graph matrix completion for the prediction of ratings in recommender systems. The missing ratings are computed based on both the similarity matrix in addition to a rating matrix. The rating matrix is sparse and some items might not have any rating informat...

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Bibliographic Details

Published in:	2019 IEEE 9th Annual Computing and Communication Workshop and Conference (CCWC) pp. 0337 - 0341
Main Authors:	Koohi, Arezou, Homayoun, Houman
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.01.2019
Subjects:	Matrix decomposition multi-threaded programming multi-view graph parallel computing Predictive models Program processors Programming Recommender systems Sparse matrices Training
Online Access:	Get full text
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