Cross-device Web Search

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A01=Dan Wu
A01=Jing Dong
A01=Shaobo Liang
Academic Digital Library
academic library systems
Author_Dan Wu
Author_Jing Dong
Author_Shaobo Liang
Autonomous Motivation
Behavior
Binary Classification Problem
Category=GLCA
Category=GLF
Category=UDBD
Cd Rom Database
Click Behavior
Cross-device
Cursor Movement
Development
Device
Device Switch
digital information retrieval
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Exploratory Search
F1 Score
Fusion Engine
HCI
human-computer interaction
Imbalanced Sample Size
Information
information behaviour
Interaction
International World Wide Web Conference
Jaccard Similarity Coefficient
Knowledge Acquisition
Kuhlthau's Information Search Process
Kuhlthau’s Information Search Process
Maximum Likelihood Structural Equation Modeling
Model
Motivation
Motivation Users
multi-device search behaviour modelling
Online
Performance
Prediction
quantitative user studies
Query Reformulation
Questioning Levels
Retrieval
Search
Search Session
Seeking
session-based search
Successive Search
System
Task Resumption
USB Storage Device
user motivation analysis
User's Browsing History
User’s Browsing History
Visitor Id
Web
Wu

Product details

  • ISBN 9780367193119
  • Weight: 2520g
  • Dimensions: 156 x 234mm
  • Publication Date: 14 Apr 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.

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