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Investigations of Topic Dynamics in Web
Search
May 1, 2005
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Download Document

BibTex
Authors

Xuehua Shen

Susan Dumais

Eric Horvitz
Publication Type
TechReport
Pages
2
Number
MSR-TR-2005-20

Abstract

Related Info
Abstract
We report on an investigation of transitions among the topics of pages visited by a sample
population of users of MSN Search. We learn probabilistic models of topic transitions for
individual users and groups of users. In an effort to compare topic transitions for individuals
versus larger groups, we consider the relative accuracies of personal models of topic dynamics
with models constructed from sets of pages drawn from similar groups and from a larger
population of users. To explore temporal dynamics, we compare the accuracy of these models for
predicting transitions in the topics of visits at increasingly more distant times in the future.
Finally, we touch on promising directions for applying models of search topic dynamics.
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Research Areas
 Search and information retrieval
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 Microsoft Research Lab - Redmond
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