2012 SimilaritySearchinRealWorldNetw

• (Li, 2012) ⇒ Cuiping Li. (2012). “Similarity Search in Real World Networks.” In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2012). ISBN:978-1-4503-1462-6 doi:10.1145/2339530.2339749

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222012%22+Similarity+Search+in+Real+World+Networks
• http://dl.acm.org/citation.cfm?id=2339530.2339749&preflayout=flat#citedby

Quotes

Author Keywords

• Data mining; graph mining; similarity query; social network

Abstract

Recently there has been a lot of interest in graph-based analysis. One of the most important aspects of graph-based analysis is to measure similarity between nodes and to do similarity search in a graph. For example, in social networks such as Facebook, system may want to recommend potential friends to a particular user based on connections between users. In custom-product networks such as eBay, one may wish to recommend products to others based on purchases history. In this talk, I will introduce some methods on vertex similarities computations and their applications on similarity search in real world networks.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2012 SimilaritySearchinRealWorldNetw	Cuiping Li			Similarity Search in Real World Networks				10.1145/2339530.2339749		2012