Mining web logs: applications and challenges

Authors:
Ravi Kumar
Affiliations:
Yahoo! Research, Sunnyvale, CA, USA
Venue:
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Year:
2009

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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.