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Rain or shine? Forecasting search process performance in exploratory search tasks

Descriptive

TypeOfResource
Text
TitleInfo
Title
Rain or shine? Forecasting search process performance in exploratory search tasks
Name (type = personal)
NamePart (type = family)
Shah
NamePart (type = given)
Chirag
Affiliation
Library and Information Science, Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Hendahewa
NamePart (type = given)
Chathra
Affiliation
Computer Science (New Brunswick), Rutgers University
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
González-Ibáñez
NamePart (type = given)
Roberto
Affiliation
Universidad de Santiago de Chile
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Library and Information Science
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Computer Science (New Brunswick)
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Communication and Information (SC&I)
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
Genre (authority = RULIB-FS)
Article, Refereed
Genre (authority = NISO JAV)
Accepted Manuscript (AM)
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (qualifier = exact)
2015
Publisher
Wiley
Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
PhysicalDescription
InternetMediaType
application/pdf
Extent
17 p.
Extension
DescriptiveEvent
Type
Citation
AssociatedObject
Name
Journal of the Association for Information Science & Technology
Type
Journal
Relationship
Has part
Reference (type = url)
https://dx.doi.org/10.1002/asi.23484
DateTime (encoding = w3cdtf)
2015
Subject (authority = local)
Topic
Information seeking
Subject (authority = LCSH)
Topic
Information behavior
Subject (authority = LCSH)
Topic
Evaluation
Subject (authority = LCSH)
Topic
Computer simulation
Abstract (type = abstract)
Most information retrieval (IR) systems consider relevance, usefulness, and quality of information objects (documents, queries) for evaluation, prediction, and recommendation, often ignoring the underlying search process of information seeking. This may leave out opportunities for making recommendations that analyze the search process and/or recommend alternative search process instead of objects. To overcome this limitation, we investigated whether by analyzing a searcher’s current processes we could forecast his likelihood of achieving a certain level of success with respect to search performance in the future. We propose a machine-learning-based method to dynamically evaluate and predict search performance several time-steps ahead at each given time point of the search process during an exploratory search task. Our prediction method uses a collection of features extracted from expression of information need and coverage of information. For testing, we used log data collected from 4 user studies that included 216 users (96 individuals and 60 pairs). Our results show 80–90% accuracy in prediction depending on the number of time-steps ahead. In effect, the work reported here provides a framework for evaluating search processes during exploratory search tasks and predicting search performance. Importantly, the proposed approach is based on user processes and is independent of any IR system.
Note (type = version identification)
This is the peer reviewed version of the following article: Shah, C., Hendahewa, C. and González-Ibáñez, R. (2015), Rain or shine? Forecasting search process performance in exploratory search tasks. Journal of the Association for Information Science and Technology, which has been published in final form at https://dx.doi.org/10.1002/asi.23484. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.
Note (type = peerReview)
Peer reviewed
RelatedItem (type = host)
TitleInfo
Title
Shah, Chirag
Identifier (type = local)
rucore30114800001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/T3TT4SRQ
Genre (authority = ExL-Esploro)
Accepted Manuscript
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Rights

RightsDeclaration (AUTHORITY = FS); (ID = rulibRdec0004)
Copyright for scholarly resources published in RUcore is retained by the copyright holder. By virtue of its appearance in this open access medium, you are free to use this resource, with proper attribution, in educational and other non-commercial settings. Other uses, such as reproduction or republication, may require the permission of the copyright holder.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
RightsEvent
Type
Permission or license
AssociatedObject
Type
License
Name
Multiple author license v. 1
Detail
I hereby grant to Rutgers, The State University of New Jersey (Rutgers) the non-exclusive right to retain, reproduce, and distribute the deposited work (Work) in whole or in part, in and from its electronic format, without fee. This agreement does not represent a transfer of copyright to Rutgers.Rutgers may make and keep more than one copy of the Work for purposes of security, backup, preservation, and access and may migrate the Work to any medium or format for the purpose of preservation and access in the future. Rutgers will not make any alteration, other than as allowed by this agreement, to the Work.I represent and warrant to Rutgers that the Work is my original work. I also represent that the Work does not, to the best of my knowledge, infringe or violate any rights of others.I further represent and warrant that I have obtained all necessary rights to permit Rutgers to reproduce and distribute the Work and that any third-party owned content is clearly identified and acknowledged within the Work.By granting this license, I acknowledge that I have read and agreed to the terms of this agreement and all related RUcore and Rutgers policies.
RightsEvent
Type
Embargo
DateTime (point = end); (encoding = w3cdtf)
2016-05-13
Detail
Access to this PDF has been restricted at the publisher's request. It will be available at this location after May 13, 2016.
RightsHolder (type = corporate)
Name
ASIS&T
Role
Copyright holder
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Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
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