Mining web logs: applications and challenges

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.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

General Terms:
Algorithms, Experimentation, Measurement

Keywords:
click logs, query logs, toolbar trails