Files in this item

FilesDescriptionFormat

application/pdf

application/pdfLu473.pdf (239kB)
(no description provided)PDF

application/octet-stream

application/octet-streamLu473.epub (200kB)
(no description provided)Unknown

Description

Title:Analyzing query reformulation data using multi-level modeling
Author(s):Lu, Kun; Joo, Soohyung; Lee, Taehun; Hu, Rong
Subject(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.
Issue Date:2016-03-15
Publisher:iSchools
Citation Info:NA
Series/Report:IConference 2016 Proceedings
Genre:Conference Poster
Type:Text
Language:English
URI:http://hdl.handle.net/2142/89381
DOI:10.9776/16473
Rights Information:Copyright 2016 is held by the authors. Copyright permissions, when appropriate, must be obtained directly from the authors.
Date Available in IDEALS:2016-03-08


This item appears in the following Collection(s)

Item Statistics