MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching

doi:10.1145/1645953.1646185

MatchSim: a novel neighbor-based similarity measure with maximum neighborhood matching

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Authors:	Zhenjiang Lin	The Chinese University of Hong Kong, Hong Kong, Hong Kong
	Michael R. Lyu	The Chinese University of Hong Kong, Hong Kong, Hong Kong
	Irwin King	The Chinese University of Hong Kong, Hong Kong, Hong Kong

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	· Proceeding
	CIKM '09 Proceedings of the 18th ACM conference on Information and knowledge management
	ACM New York, NY, USA ©2009 table of contents ISBN: 978-1-60558-512-3 doi>10.1145/1645953.1646185

	2009 Article Poster
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Tags: algorithms clustering graph algorithm information filtering link analysis measurement similarity measure web mining

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