Analysis of topic dynamics in web search

  • Authors:
  • Xuehua Shen;Susan Dumais;Eric Horvitz

  • Affiliations:
  • University of Illinois, Urbana, IL;Microsoft Research, Redmond, WA;Microsoft Research, Redmond, WA

  • Venue:
  • WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
  • Year:
  • 2005

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Abstract

We report on a study of topic dynamics for pages visited by a sample of people using MSN Search. We examine the predictive accuracies of probabilistic models of topic transitions for individuals and groups of users. We explore temporal dynamics by comparing the accuracy of the models for predicting topic transitions at increasingly distant times in the future. Finally, we discuss directions for applying models of search topic dynamics.