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Mobile Information Retrieval de Fabio Crestani

Mobile Information Retrieval: SpringerBriefs in Computer Science

Autor Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
en Limba Engleză Paperback – 27 iul 2017
This book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years, it particularly focuses on both user interaction and techniques for the perception and use of context, which, taken together, shape much of today’s research on Mobile IR.

The book starts by addressing the differences between IR and Mobile IR, while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents, users, and information needs that can be found in Mobile IR, and which set it apart from standard IR. Next, it discusses the two important issues of user interfaces and context-awareness. In closing, it covers issues related to the evaluation of Mobile IR applications.

Overall, the book offers a valuable tool, helping new and veteran researchers alike to navigate this exciting and highly dynamic area of research.
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Specificații

ISBN-13: 9783319607764
ISBN-10: 3319607766
Pagini: 109
Ilustrații: VI, 110 p. 9 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.18 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seria SpringerBriefs in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

1 Introduction.- 2 From IR to Mobile IR.- 3 Foundations.- 4 Documents.- 5 Users and Information Needs.- 6 User Interface.- 7 Context Awareness.- 8 Evaluation.- 9 Conclusions and Outlook.

Recenzii

“Overall, this is an interesting book to read. It is also an important summary of the mobile IR literature. Despite its relatively short length (less than 100 pages without reference), it manages to pack in a huge amount of useful information.” (Daqing He, Journal of the Association for Information Science and Technology, 2018)
 

Notă biografică

Fabio Crestani has been Professor at the Università della Svizzera Italiana (USI) in Lugano, Switzerland since 2007. Before that he was Professor at the University of Strathclyde in Glasgow (UK) and the University of Padua (Italy), spending sabbatical time at Yahoo! (Spain), UC Berkeley (USA), PARC (USA), and the University of Grenoble (France). His main areas of research are Information Retrieval, Text Mining, and Digital Libraries. He has co-edited 9 books and published over 200 refereed papers in these areas of research.

Stefano Mizzaro is Associate Professor at the University of Udine, Italy, since 2006. His current research interests include Information Retrieval and mobile contextual information access. He published more than 100 refereed papers, several as a single author, received some international awards for best papers, and authored two books on Java programming. He had an active role in several research projects at regional, national, and European level.

Ivan Scagnetto holds a PhD in Computer Science from the University of Udine and is Researcher (Assistant Professor) at the same university since 2005. His current research activity is focused on Computer Aided Formal Reasoning and Mobile/Distributed Systems. He is co-author of several peer-reviewed papers and of a textbook on server-side web technologies. He worked in several research and technology transfer projects at regional, national and international level.

Textul de pe ultima copertă

This book offers a helpful starting point in the scattered, rich, and complex body of literature on Mobile Information Retrieval (Mobile IR), reviewing more than 200 papers in nine chapters. Highlighting the most interesting and influential contributions that have appeared in recent years, it particularly focuses on both user interaction and techniques for the perception and use of context, which, taken together, shape much of today’s research on Mobile IR.

The book starts by addressing the differences between IR and Mobile IR, while also reviewing the foundations of Mobile IR research. It then examines the different kinds of documents, users, and information needs that can be found in Mobile IR, and which set it apart from standard IR. Next, it discusses the two important issues of user interfaces and context-awareness. In closing, it covers issues related to the evaluation of Mobile IR applications.

Overall, the book offers a valuable tool, helping new and veteran researchers alike to navigate this exciting and highly dynamic area of research.

Caracteristici

Provides a starting point for researchers new to Mobile IR Reviews, describes and summarises more than 200 papers Puts special emphasis on both user interaction and techniques for the perception and use of context, which together shape much of today’s research on Mobile IR Includes supplementary material: sn.pub/extras