大葉大學圖書館 |

Mobile search behaviors :an in-depth analysis based on contexts, APPs, and devices /

纪录类型:	书目-电子资源 : Monograph/item
[NT 15000414] null:	025.0425
[NT 47271] Title/Author:	Mobile search behaviors : : an in-depth analysis based on contexts, APPs, and devices // Dan Wu, Shaobo Liang.
作者:	Wu, Dan
[NT 51406] other author:	Liang, Shaobo,
出版者:	San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) : : Morgan & Claypool Publishers,, [2018]
面页册数:	1 PDF (xvii, 159 pages) : : illustrations.
附注:	Part of: Synthesis digital library of engineering and computer science.
标题:	Internet searching.
标题:	Mobile apps.
ISBN:	9781681733005
ISBN:	9781681732992
[NT 15000227] null:	Includes bibliographical references (pages 145-158) and index.
[NT 15000228] null:	1. Information search in mobile context -- 1.1. Introduction -- 1.2. Key terms -- 1.3. Literature review -- 1.4. Research design
[NT 15000229] null:	With the rapid development of mobile Internet and smart personal devices in recent years, mobile search has gradually emerged as a key method with which users seek online information. In addition, cross-device search also has been regarded recently as an important research topic. As more mobile applications (APPs) integrate search functions, a user's mobile search behavior on different APPs becomes more significant. This book provides a systematic review of current mobile search analysis and studies user mobile search behavior from several perspectives, including mobile search context, APP usage, and different devices. Two different user experiments to collect user behavior data were conducted. Then, through the data from user mobile phone usage logs in natural settings, we analyze the mobile search strategies employed and offer a context-based mobile search task collection, which then can be used to evaluate the mobile search engine. In addition, we combine mobile search with APP usage to give more in-depth analysis, such as APP transition in mobile search and follow-up actions triggered by mobile search. The study, combining the mobile search with APP usage, can contribute to the interaction design of APPs, such as the search recommendation and APP recommendation. Addressing the phenomenon of users owning more smart devices today than ever before, we focus on user cross device search behavior. We model the information preparation behavior and information resumption behavior in cross-device search and evaluate the search performance in cross-device search. Research on mobile search behaviors across different devices can help to understand online user information behavior comprehensively and help users resume their search tasks on different devices.
电子资源:	https://ieeexplore.ieee.org/servlet/opac?bknumber=8321063

Mobile search behaviors :an in-depth analysis based on contexts, APPs, and devices /
Wu, Dan(Professor of library and information science),

Mobile search behaviors :an in-depth analysis based on contexts, APPs, and devices /Dan Wu, Shaobo Liang. - San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) :Morgan & Claypool Publishers,[2018] - 1 PDF (xvii, 159 pages) :illustrations. - Synthesis lectures information concepts, retrieval, and services,#631947-9468 ;. - Synthesis digital library of engineering and computer science..

Part of: Synthesis digital library of engineering and computer science.

Includes bibliographical references (pages 145-158) and index.

1. Information search in mobile context -- 1.1. Introduction -- 1.2. Key terms -- 1.3. Literature review -- 1.4. Research design

Abstract freely available; full-text restricted to subscribers or individual document purchasers.

Compendex

With the rapid development of mobile Internet and smart personal devices in recent years, mobile search has gradually emerged as a key method with which users seek online information. In addition, cross-device search also has been regarded recently as an important research topic. As more mobile applications (APPs) integrate search functions, a user's mobile search behavior on different APPs becomes more significant. This book provides a systematic review of current mobile search analysis and studies user mobile search behavior from several perspectives, including mobile search context, APP usage, and different devices. Two different user experiments to collect user behavior data were conducted. Then, through the data from user mobile phone usage logs in natural settings, we analyze the mobile search strategies employed and offer a context-based mobile search task collection, which then can be used to evaluate the mobile search engine. In addition, we combine mobile search with APP usage to give more in-depth analysis, such as APP transition in mobile search and follow-up actions triggered by mobile search. The study, combining the mobile search with APP usage, can contribute to the interaction design of APPs, such as the search recommendation and APP recommendation. Addressing the phenomenon of users owning more smart devices today than ever before, we focus on user cross device search behavior. We model the information preparation behavior and information resumption behavior in cross-device search and evaluate the search performance in cross-device search. Research on mobile search behaviors across different devices can help to understand online user information behavior comprehensively and help users resume their search tasks on different devices.

Mode of access: World Wide Web.

ISBN: 9781681733005

Standard No.: 10.2200/S00831ED1V01Y201802ICR063doiSubjects--Topical Terms:

183833
Internet searching.
Subjects--Index Terms:

mobile search behaviorIndex Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: ZA4230 / .W846 2018

Dewey Class. No.: 025.0425

Mobile search behaviors :an in-depth analysis based on contexts, APPs, and devices /
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035 $a (CaBNVSL)thg00975826
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100 1 $a Wu, Dan $c (Professor of library and information science), $e author. $3 729076
245 1 0 $a Mobile search behaviors : $b an in-depth analysis based on contexts, APPs, and devices / $c Dan Wu, Shaobo Liang.
260 1 $a San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) : $b Morgan & Claypool Publishers, $c [2018]
264 1 $a San Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) : $b Morgan & Claypool Publishers, $c [2018]
300 $a 1 PDF (xvii, 159 pages) : $b illustrations.
336 $a text $2 rdacontent
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490 1 $a Synthesis lectures information concepts, retrieval, and services, $x 1947-9468 ; $v #63
500 $a Part of: Synthesis digital library of engineering and computer science.
504 $a Includes bibliographical references (pages 145-158) and index.
505 0 $a 1. Information search in mobile context -- 1.1. Introduction -- 1.2. Key terms -- 1.3. Literature review -- 1.4. Research design
505 8 $a 2. Context-based mobile search behaviors -- 2.1. Mobile search strategies -- 2.2. Modeling context-based mobile search -- 2.3. Designing context-based mobile search task collection -- 2.4. Summary
505 8 $a 3. Mobile search behaviors and APP usage -- 3.1. App topics and mobile search -- 3.2. APP transition in mobile search -- 3.3. Follow-up actions triggered by mobile search -- 3.4. Summary
505 8 $a 4. Mobile search behavior across different devices -- 4.1. Information preparation behavior in cross-device search -- 4.2. Information resumption behavior in cross-device search -- 4.3. Exploring the On-the-spot search performance in cross-device search -- 4.4. Predicting search performance in cross-device search -- 4.5. Summary
505 8 $a 5. Discussion and conclusions -- 5.1. Discussion -- 5.2. Implications -- 5.3. Limitations -- 5.4. Conclusions.
506 $a Abstract freely available; full-text restricted to subscribers or individual document purchasers.
510 0 $a Compendex
510 0 $a INSPEC
510 0 $a Google scholar
510 0 $a Google book search
520 3 $a With the rapid development of mobile Internet and smart personal devices in recent years, mobile search has gradually emerged as a key method with which users seek online information. In addition, cross-device search also has been regarded recently as an important research topic. As more mobile applications (APPs) integrate search functions, a user's mobile search behavior on different APPs becomes more significant. This book provides a systematic review of current mobile search analysis and studies user mobile search behavior from several perspectives, including mobile search context, APP usage, and different devices. Two different user experiments to collect user behavior data were conducted. Then, through the data from user mobile phone usage logs in natural settings, we analyze the mobile search strategies employed and offer a context-based mobile search task collection, which then can be used to evaluate the mobile search engine. In addition, we combine mobile search with APP usage to give more in-depth analysis, such as APP transition in mobile search and follow-up actions triggered by mobile search. The study, combining the mobile search with APP usage, can contribute to the interaction design of APPs, such as the search recommendation and APP recommendation. Addressing the phenomenon of users owning more smart devices today than ever before, we focus on user cross device search behavior. We model the information preparation behavior and information resumption behavior in cross-device search and evaluate the search performance in cross-device search. Research on mobile search behaviors across different devices can help to understand online user information behavior comprehensively and help users resume their search tasks on different devices.
530 $a Also available in print.
538 $a Mode of access: World Wide Web.
538 $a System requirements: Adobe Acrobat Reader.
588 $a Title from PDF title page (viewed on March 30, 2018).
650 0 $a Internet searching. $3 183833
650 0 $a Mobile apps. $3 633943
653 $a mobile search behavior
653 $a information-seeking behavior
653 $a user information behavior
653 $a mobile search context
653 $a search task
653 $a APP transition
653 $a APP usage
653 $a cross-device search
653 $a information preparation
653 $a information resumption
653 $a search performance
653 $a human-computer interaction
655 0 $a Electronic books. $2 local $3 336502
700 1 $a Liang, Shaobo, $e author. $3 729077
776 0 8 $i Print version: $z 9781681732992
830 0 $a Synthesis digital library of engineering and computer science. $3 461208
830 0 $a Synthesis lectures on information concepts, retrieval, and services ; $v #22. $3 492714
856 4 2 $3 Abstract with links to resource $u https://ieeexplore.ieee.org/servlet/opac?bknumber=8321063