000 03921nam a22004815i 4500
001 978-3-031-02315-6
003 DE-He213
005 20240730165227.0
007 cr nn 008mamaa
008 220601s2018 sz | s |||| 0|eng d
020 _a9783031023156
_9978-3-031-02315-6
024 7 _a10.1007/978-3-031-02315-6
_2doi
050 4 _aTK5105.5-5105.9
072 7 _aUKN
_2bicssc
072 7 _aCOM043000
_2bisacsh
072 7 _aUKN
_2thema
082 0 4 _a004.6
_223
100 1 _aWu, Dan.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987946
245 1 0 _aMobile Search Behaviors
_h[electronic resource] :
_bAn In-depth Analysis Based on Contexts, APPs, and Devices /
_cby Dan Wu, Shaobo H. Liang.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXVII, 159 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
505 0 _aPreface -- Acknowledgments -- Information Search in Mobile Context -- Context based Mobile Search Behaviors -- Mobile Search Behaviors and APP Usage -- Mobile Search Behavior Across Different Devices -- Discussion and Conclusions -- References -- Author Biographies.
520 _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.
650 0 _aComputer networks .
_931572
650 1 4 _aComputer Communication Networks.
_987948
700 1 _aLiang, Shaobo H.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_987949
710 2 _aSpringerLink (Online service)
_987950
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031002229
776 0 8 _iPrinted edition:
_z9783031011870
776 0 8 _iPrinted edition:
_z9783031034435
830 0 _aSynthesis Lectures on Information Concepts, Retrieval, and Services,
_x1947-9468
_987951
856 4 0 _uhttps://doi.org/10.1007/978-3-031-02315-6
912 _aZDB-2-SXSC
942 _cEBK
999 _c86177
_d86177