Predicting query reformulation during Web searching

Bernard J. Jansen, Danielle Booth, Amanda Spink

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

This paper reports results from a study in which we automatically classified the query reformulation patterns for 964,780 Web searching sessions (composed of 1,523,072 queries) in order to predict what the next query reformulation would be. We employed an n-gram modeling approach to describe the probability of searchers transitioning from one query reformulation state to another and predict their next state. We developed first, second, third, and fourth order models and evaluated each model for accuracy of prediction. Findings show that Reformulation and Assistance account for approximately 45 percent of all query reformulations. Searchers seem to seek system searching assistant early in the session or after a content change. The results of our evaluations show that the first and second order models provided the best predictability, between 28 and 40 percent overall, and higher than 70 percent for some patterns. Implications are that the n-gram approach can be used for improving searching systems and searching assistance in real time.

Original languageEnglish (US)
Title of host publicationProceedings of the 27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
Pages3907-3912
Number of pages6
DOIs
StatePublished - 2009
Event27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009 - Boston, MA, United States
Duration: Apr 4 2009Apr 9 2009

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Other

Other27th International Conference Extended Abstracts on Human Factors in Computing Systems, CHI 2009
Country/TerritoryUnited States
CityBoston, MA
Period4/4/094/9/09

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design

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