Analyzing query reformulation data using multi-level modeling

Lu, Kun; Joo, Soohyung; Lee, Taehun; Hu, Rong

Permalink

https://hdl.handle.net/2142/89381 Copy

Description

Title

Analyzing query reformulation data using multi-level modeling

Author(s)

Lu, Kun; Joo, Soohyung; Lee, Taehun; Hu, Rong

Issue Date

2016-03-15

Keyword(s)

• query reformulation
• multi-level modeling
• data analysis
• interactive information retrieval

Abstract

This study explores the adoption of multi-level modeling to analyze query reformulation data. Thus far, the dependency among query reformulations within the same search session has not been adequately treated in the experimental design. This has limited the analysis of users’ query behavior. This study introduces multi-level modeling to query reformulation data analysis. Multi-level modeling is capable of handling the correlations among query reformulations and provides an avenue to analyzing the nested data structure. A demonstration of fitting query reformulation data to two types of multi-level models is provided. The method introduced in this study provides a potential solution to the analysis of query reformulations.

Publisher

iSchools

Series/Report Name or Number

IConference 2016 Proceedings

Type of Resource

text

Language

eng

Permalink

http://hdl.handle.net/2142/89381

DOI

https://doi.org/10.9776/16473

Copyright and License Information

Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.

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