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Implicit search feature based approach to assist users in exploratory search tasks

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TitleInfo
Title
Implicit search feature based approach to assist users in exploratory search tasks
Name (type = personal)
NamePart (type = family)
Hendahewa
NamePart (type = given)
Chathra Hasini
NamePart (type = date)
1982-
DisplayForm
Chathra Hasini Hendahewa
Role
RoleTerm (authority = RULIB)
author
Name (type = personal)
NamePart (type = family)
Shah
NamePart (type = given)
Chirag
DisplayForm
Chirag Shah
Affiliation
Advisory Committee
Role
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chair
Name (type = personal)
NamePart (type = family)
Imielinksi
NamePart (type = given)
Tomasz
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Tomasz Imielinksi
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
internal member
Name (type = personal)
NamePart (type = family)
Gerasoulis
NamePart (type = given)
Apostolos
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Apostolos Gerasoulis
Affiliation
Advisory Committee
Role
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internal member
Name (type = personal)
NamePart (type = family)
Russell
NamePart (type = given)
Daniel
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Daniel Russell
Affiliation
Advisory Committee
Role
RoleTerm (authority = RULIB)
outside member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact)
2016
DateOther (qualifier = exact); (type = degree)
2016-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2016
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Analyzing and modeling users' online search behaviors when conducting exploratory search tasks could be instrumental in discovering search behavior patterns that can then be leveraged to assist users in reaching their search task goals. In this dissertation, we propose a framework for evaluating exploratory search based on implicit features and user search action sequences extracted from the transactional log data to model different aspects of exploratory search namely, uncertainty, creativity, exploration, and knowledge discovery. We show the e ectiveness of the proposed framework by demonstrating how it can be used to understand and evaluate user search performance to identify struggling and non-struggling users. Major contributions of this dissertation are three-fold. We show that we can e ectively model user search behavior using implicit features to predict the user's future performance level with high accuracy when conducting exploratory search tasks. We also provide a recommendation approach to assist struggling users by recommending them better search paths in order to improve their search performance and reach the task goal. Further, using simulations we demonstrate that our search process based recommendations improve the search performance of struggling users over time and validate these ndings using both qualitative and quantitative approaches. We also exhibit that the recommended search trail order matters and it outperforms the random order of search trails and would bene t the struggling users using search trail order evaluation metrics.
Subject (authority = RUETD)
Topic
Computer Science
Subject (authority = ETD-LCSH)
Topic
Human-computer interaction
Subject (authority = ETD-LCSH)
Topic
Information behavior
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6951
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (xiv, 105 p. : ill.)
Note (type = degree)
Ph.D.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Chathra Hasini Hendahewa
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T39S1T21
Genre (authority = ExL-Esploro)
ETD doctoral
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Hendahewa
GivenName
Chathra
MiddleName
Hasini
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-12-24 15:05:21
AssociatedEntity
Name
Chathra Hendahewa
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
ETD
OperatingSystem (VERSION = 5.1)
windows xp
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