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Analysis and Evaluation of Query Reformulations in Different Task Types

Chang Liu, Jacek Gwizdka, Jingjing Liu, Tao Xu and Nicholas J. Belkin

(Submission #214)


Users engaged in information search often reformulate or modify their queries. This paper reports on an investigation of how task type and task situation influence users’ query reformulation behavior. A controlled experiment was conducted with 48 participants, each working on six web search tasks classified into three types according to the task structure: Simple, Hierarchical and Parallel. We developed a taxonomy of query reformulation and used an automated method to detect the reformulations. Our results showed that Specialization was most frequently used in Simple tasks, and Word Substitution was most frequently used in Parallel tasks. After visiting and saving a relevant web page, Generalization was less likely to be used while New query was more likely to be used. We also found that the effectiveness of each query reformulation type varied in different task types. The results of this study demonstrate the effect of task type on users’ query reformulation behavior and have implications on the design of query suggestions for users during searching.


Program Track:  Track 3 - Information Systems, Interactivity and Design
Submission Type:  Research Paper

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