2009 MiningWebLogsApplicationsandCha

• (Kumar, 2009) ⇒ Ravi Kumar. (2009). “Mining Web Logs: Applications and Challenges.” In: Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD-2009). doi:10.1145/1557019.1557022

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• http://scholar.google.com/scholar?q=%22Mining+web+logs%3A+applications+and+challenges%22+2009
• http://portal.acm.org/citation.cfm?doid=1557019.1557022&preflayout=flat#citedby

Quotes

Abstract

Web logs record the primary interaction of users with web pages in general and search engines in particular. There are two sources for such logs: user trails obtained from toolbars and query/click information obtained from search engines. In this talk we will address the task of mining this rich data to improve user experience on the web. We will illustrate a few applications, together with the modeling and algorithmic challenges that stem from these applications. We will also discuss the privacy issues that arise in this context.

References

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	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2009 MiningWebLogsApplicationsandCha	Ravi Kumar			Mining Web Logs: Applications and Challenges				10.1145/1557019.1557022