A Personalized Recommendation Algorithm based on Approximating the Singular Value Decomposition (ApproSVD)

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Zhou, Xun, He, Jing, Huang, Guangyan and Zhang, Yanchun (2012) A Personalized Recommendation Algorithm based on Approximating the Singular Value Decomposition (ApproSVD). In: WI-IAT '12 Proceedings of the 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology. IEEE, Washington, D.C., pp. 458-464.

Abstract

Paper presented at The WI-IAT Conference held between 4-7 Dec. 2012

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Item type	Book Section
URI	https://vuir.vu.edu.au/id/eprint/22127
DOI	10.1109/WI-IAT.2012.225
Official URL	http://ieeexplore.ieee.org/xpl/articleDetails.jsp?...
ISBN	9781467360579 (print) 9780769548807 (online)
Subjects	Historical > FOR Classification > 0802 Computation Theory and Mathematics Historical > FOR Classification > 0805 Distributed Computing Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics Current > Division/Research > College of Science and Engineering
Keywords	ResPubID26098, Internet, approximation theory, consumer behaviour, information retrieval, purchasing, recommender systems, singular value decomposition, sparse matrices
Citations in Scopus	15 - View on Scopus
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