Mobile Information Retrieval - Brossura

Crestani, Fabio; Mizzaro, Stefano; Scagnetto, Ivan

Brossura

ISBN 10: 3319607766 ISBN 13: 9783319607764

Casa editrice: Springer, 2017

Riassunto

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.

Su questo libro

Informazioni sull?autore

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.

Dalla quarta di copertina

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.

Dettagli dell'edizione

• Editore: Springer
• Data di pubblicazione: 2017
• Lingua: Inglese
• ISBN 10: 3319607766
• ISBN 13: 9783319607764
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 116
• Contatto del produttore: non disponibile
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