
Cross-device Web Search
Routledge (Publisher)
1st Edition
Published on 14. April 2022
Book
Paperback/Softback
138 pages
978-0-367-19313-3 (ISBN)
Description
Cross-device Web Search is the first book to examine cross-device search behavior, which takes place when people utilize multiple devices and several sessions to research the same topic.
Providing a comprehensive examination of cross-device search behaviors, the book also models and analyses their most important features and, by doing so, helps to elucidate the motivations behind such behaviors. Drawing on a variety of methods and sources, including system design, user experiments, and qualitative and quantitative analysis, the book introduces cross-device search, relates it to relevant conceptual models, and identifies cross-device search topics. Providing discussion of a comprehensive range of behaviors in the context of cross-device search, including querying, gazing, clicking, and touching, the book also presents the design and development of a system to support cross-device search, explores cross-device search behavior modeling, and predicts users' search performance.
Cross-device Web Search will be of great interest to academics and students situated in the fields of library and information science, computer science, and management science. The book should also provide fascinating insights to practitioners and others interested in information search retrieval, information seeking behavior, and human-computer interaction communities.
Providing a comprehensive examination of cross-device search behaviors, the book also models and analyses their most important features and, by doing so, helps to elucidate the motivations behind such behaviors. Drawing on a variety of methods and sources, including system design, user experiments, and qualitative and quantitative analysis, the book introduces cross-device search, relates it to relevant conceptual models, and identifies cross-device search topics. Providing discussion of a comprehensive range of behaviors in the context of cross-device search, including querying, gazing, clicking, and touching, the book also presents the design and development of a system to support cross-device search, explores cross-device search behavior modeling, and predicts users' search performance.
Cross-device Web Search will be of great interest to academics and students situated in the fields of library and information science, computer science, and management science. The book should also provide fascinating insights to practitioners and others interested in information search retrieval, information seeking behavior, and human-computer interaction communities.
More details
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Illustrations
30 s/w Abbildungen, 3 s/w Photographien bzw. Rasterbilder, 27 s/w Zeichnungen
27 Line drawings, black and white; 3 Halftones, black and white; 30 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 9 mm
Weight
245 gr
ISBN-13
978-0-367-19313-3 (9780367193133)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Dan Wu | Jing Dong | Shaobo Liang
Cross-device Web Search
E-Book
04/2022
1st Edition
Routledge
€48.49
Available for download

Dan Wu | Jing Dong | Shaobo Liang
Cross-device Web Search
E-Book
04/2022
1st Edition
Routledge
€48.49
Available for download

Dan Wu | Jing Dong | Shaobo Liang
Cross-device Web Search
Book
04/2022
1st Edition
Routledge
€205.80
Shipment within 15-20 days
Persons
Dan Wu (Ph.D) is a Professor at Wuhan University, China. Her research interests include information retrieval, information behavior, and human-computer interaction. One of her most important publications is Mobile Search Behaviors: An In-depth Analysis based on Contexts, APPs and Devices, published by Morgan & Claypool.
Jing Dong (Ph.D) is an assistant professor at the School of Information Management, Central China Normal University. She obtained her Ph.D degree in Information Science at Wuhan University. She was a visiting scholar at the University of Pittsburgh. She is interested in research areas of information-seeking behavior and human-computer interaction. She has published over 20 papers in peer-reviewed journals, such as Information Processing & Management and Journal of the Association for Information Science and Technology, and conference proceedings such as SIGIR and iConference.
Shaobo Liang is an assistant professor at the School of Information Management at Wuhan University. His research interests lie in understanding user information-seeking behavior, mobile search behavior, and cross-device search. He has published over 20 papers in academic journals and conferences.
Jing Dong (Ph.D) is an assistant professor at the School of Information Management, Central China Normal University. She obtained her Ph.D degree in Information Science at Wuhan University. She was a visiting scholar at the University of Pittsburgh. She is interested in research areas of information-seeking behavior and human-computer interaction. She has published over 20 papers in peer-reviewed journals, such as Information Processing & Management and Journal of the Association for Information Science and Technology, and conference proceedings such as SIGIR and iConference.
Shaobo Liang is an assistant professor at the School of Information Management at Wuhan University. His research interests lie in understanding user information-seeking behavior, mobile search behavior, and cross-device search. He has published over 20 papers in academic journals and conferences.
Author
Wuhan University, China
Wuhan University, China
Wuhan University, China
Content
1. Introduction to Cross-device Search; 2. Theories Relating to Cross-device Search; 3. Cross-device Search Topics; 4. Cross-device Search Support Techniques and Systems; 5. Cross-device Search Behaviors; 6. Cross-device Search Behavior Modeling; 7. Discussion and Conclusion