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Mobile Information Retrieval

  • Fabio Crestani
  • Stefano Mizzaro
  • Ivan Scagnetto

Part of the SpringerBriefs in Computer Science book series (BRIEFSCOMPUTER)

Table of contents

  1. Front Matter
    Pages i-vi
  2. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 1-3
  3. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 5-14
  4. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 15-21
  5. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 23-31
  6. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 33-44
  7. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 45-63
  8. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 65-83
  9. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 85-94
  10. Fabio Crestani, Stefano Mizzaro, Ivan Scagnetto
    Pages 95-96
  11. Back Matter
    Pages 97-110

About this book

Introduction

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.

Keywords

Mobile information processing systems Retrieval on mobile devices Ubiquitous and mobile computing systems and tools Users and interactive retrieval Information retrieval Environment-specific retrieval

Authors and affiliations

  • Fabio Crestani
    • 1
  • Stefano Mizzaro
    • 2
  • Ivan Scagnetto
    • 3
  1. 1.Faculty of InformaticsUniversita' della Svizzera Italiana (USI)LuganoSwitzerland
  2. 2.Dept. of Mathematics and Computer ScienceUniversity of UdineUdineItaly
  3. 3.Dept of Mathematics and Computer ScienceUniversity of UdineUdineItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-60777-1
  • Copyright Information The Author(s) 2017
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-60776-4
  • Online ISBN 978-3-319-60777-1
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • Buy this book on publisher's site