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

Zhou, Xun and He, Jing and 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.

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Abstract

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

Item Type: Book Section
ISBN: 9781467360579 (print) 9780769548807 (online)
Uncontrolled Keywords: ResPubID26098, Internet, approximation theory, consumer behaviour, information retrieval, purchasing, recommender systems, singular value decomposition, sparse matrices
Subjects: FOR Classification > 0802 Computation Theory and Mathematics
FOR Classification > 0805 Distributed Computing
Faculty/School/Research Centre/Department > Centre for Applied Informatics
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: Yimin Zeng
Date Deposited: 09 Dec 2013 02:53
Last Modified: 09 Dec 2013 02:53
URI: http://vuir.vu.edu.au/id/eprint/22127
DOI: 10.1109/WI-IAT.2012.225
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Citations in Scopus: 0 - View on Scopus

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