Grammar-based task analysis of web logs

  • Authors:
  • Savitha Srinivasan;Arnon Amir;Prasad Deshpande;Vladimir Zbarsky

  • Affiliations:
  • IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA;IBM Almaden Research Center, San Jose, CA

  • Venue:
  • Proceedings of the thirteenth ACM international conference on Information and knowledge management
  • Year:
  • 2004

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Abstract

The daily use of Internet-based services is involved with hundreds of different tasks being performed by multiple users. A single task is typically involved with a sequence of Web URLs invocation. We study the problem of pattern detection in Web logs to identify tasks performed by users, and analyze task trends over time using a grammar-based framework. Our results are demonstrated on a corporate Intranet portal application with 7000 users over a 6 week period and demonstrate compelling business value from this high-level task analysis.