| 000 | 05534nam a22007451i 4500 | ||
|---|---|---|---|
| 001 | 8321063 | ||
| 003 | IEEE | ||
| 005 | 20200413152931.0 | ||
| 006 | m eo d | ||
| 007 | cr cn |||m|||a | ||
| 008 | 180330s2018 caua fob 001 0 eng d | ||
| 020 |
_a9781681733005 _qebook |
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| 020 |
_a9781681732992 _qpaperback |
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| 024 | 7 |
_a10.2200/S00831ED1V01Y201802ICR063 _2doi |
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| 035 | _a(CaBNVSL)thg00975826 | ||
| 035 | _a(OCoLC)1029878368 | ||
| 040 |
_a _aCaBNVSL _beng _erda _cCaBNVSL _dCaBNVSL |
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| 050 | 4 |
_aZA4230 _b.W846 2018 |
|
| 082 | 0 | 4 |
_a025.0425 _223 |
| 100 | 1 |
_aWu, Dan _c(Professor of library and information science), _eauthor. |
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| 245 | 1 | 0 |
_aMobile search behaviors : _ban in-depth analysis based on contexts, APPs, and devices / _cDan Wu, Shaobo Liang. |
| 264 | 1 |
_aSan Rafael, California (1537 Fourth Street, 1537 Fourth Street, San Rafael, CA 94901 USA) : _bMorgan & Claypool Publishers, _c[2018] |
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| 300 |
_a1 PDF (xvii, 159 pages) : _billustrations. |
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| 336 |
_atext _2rdacontent |
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| 337 |
_aelectronic _2isbdmedia |
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| 338 |
_aonline resource _2rdacarrier |
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| 490 | 1 |
_aSynthesis lectures information concepts, retrieval, and services, _x1947-9468 ; _v#63 |
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| 538 | _aMode of access: World Wide Web. | ||
| 538 | _aSystem requirements: Adobe Acrobat Reader. | ||
| 500 | _aPart of: Synthesis digital library of engineering and computer science. | ||
| 504 | _aIncludes bibliographical references (pages 145-158) and index. | ||
| 505 | 0 | _a1. Information search in mobile context -- 1.1. Introduction -- 1.2. Key terms -- 1.3. Literature review -- 1.4. Research design | |
| 505 | 8 | _a2. 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 | _a3. 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 | _a4. 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 | _a5. Discussion and conclusions -- 5.1. Discussion -- 5.2. Implications -- 5.3. Limitations -- 5.4. Conclusions. | |
| 506 | _aAbstract freely available; full-text restricted to subscribers or individual document purchasers. | ||
| 510 | 0 | _aCompendex | |
| 510 | 0 | _aINSPEC | |
| 510 | 0 | _aGoogle scholar | |
| 510 | 0 | _aGoogle book search | |
| 520 | 3 | _aWith 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 | _aAlso available in print. | ||
| 588 | _aTitle from PDF title page (viewed on March 30, 2018). | ||
| 650 | 0 | _aInternet searching. | |
| 650 | 0 | _aMobile apps. | |
| 653 | _amobile search behavior | ||
| 653 | _ainformation-seeking behavior | ||
| 653 | _auser information behavior | ||
| 653 | _amobile search context | ||
| 653 | _asearch task | ||
| 653 | _aAPP transition | ||
| 653 | _aAPP usage | ||
| 653 | _across-device search | ||
| 653 | _ainformation preparation | ||
| 653 | _ainformation resumption | ||
| 653 | _asearch performance | ||
| 653 | _ahuman-computer interaction | ||
| 655 | 0 | _aElectronic books. | |
| 700 | 1 |
_aLiang, Shaobo, _eauthor. |
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| 776 | 0 | 8 |
_iPrint version: _z9781681732992 |
| 830 | 0 | _aSynthesis digital library of engineering and computer science. | |
| 830 | 0 |
_aSynthesis lectures on information concepts, retrieval, and services ; _v#63. |
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| 856 | 4 | 2 |
_3Abstract with links to resource _uhttps://ieeexplore.ieee.org/servlet/opac?bknumber=8321063 |
| 999 |
_c562387 _d562387 |
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