Mobile Information Retrieval (Paperback, 1st ed. 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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Series:	SpringerBriefs in Computer Science
Release date:	July 2017
First published:	2017
Authors:	Fabio Crestani • Stefano Mizzaro • Ivan Scagnetto
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	110
Edition:	1st ed. 2017
ISBN-13:	978-3-319-60776-4
Categories:	Books > Computing & IT > Computer hardware & operating systems > Handheld devices (eg Palm, PocketPC) Books > Computing & IT > Computer programming > General Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Natural language & machine translation
LSN:	3-319-60776-6
Barcode:	9783319607764

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