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© 2011

Teaching and Learning in Information Retrieval

  • Efthimis Efthimiadis
  • Juan M. Fernández-Luna
  • Juan F. Huete
  • Andrew MacFarlane

Benefits

  • First book explicitly dedicated to teaching information retrieval

  • Encompasses all related topics from general curriculum and course design to specific data and search engine evaluation

  • Includes not only aspects from computer science, but also from pedagogy, psychology, and technology-enhanced learning

Book

Part of the The Information Retrieval Series book series (INRE, volume 31)

Table of contents

  1. Front Matter
    Pages i-xv
  2. Efthimis N. Efthimiadis, Juan M. Fernández-Luna, Juan F. Huete, Andrew MacFarlane
    Pages 1-7
  3. Daniel Blank, Norbert Fuhr, Andreas Henrich, Thomas Mandl, Thomas Rölleke, Hinrich Schütze et al.
    Pages 31-46
  4. Edward Fox, Uma Murthy, Seungwon Yang, Ricardo da S. Torres, Javier Velasco-Martin, Gary Marchionini
    Pages 47-60
  5. Rafael López-García, Fidel Cacheda
    Pages 89-105
  6. Juan-Antonio Martínez-Comeche, Fidel Cacheda
    Pages 123-135
  7. Mark Sanderson, Amy Warner
    Pages 169-182
  8. Seungwon Yang, Sanghee Oh, Barbara M. Wildemuth, Jeffrey P. Pomerantz, Edward Fox
    Pages 199-212
  9. Back Matter
    Pages 213-213

About this book

Introduction

Information Retrieval has become a very active research field in the 21st century. Many from academia and industry present their innovations in the field in a wide variety of conferences and journals. Companies transfer this new knowledge directly to the general public via services such as web search engines in order to improve their information seeking experience.

In parallel, teaching IR is turning into an important aspect of IR generally, not only because it is necessary to impart effective search techniques to make the most of the IR tools available, but also because we must provide a good foundation for those students who will become the driving force of future IR technologies.

There are very few resources for teaching and learning in IR, the major problem which this book is designed to solve. The objective is to provide ideas and practical experience of teaching and learning IR, for those whose job requires them to teach in one form or another, and where delivering IR courses is a major part of their working lives.

In this context of providing a higher profile for teaching and  learning as applied to IR, the co-editor of this book, Efthimis Efthimiathis, had maintained a leading role in teaching and learning within the domain of IR for a number of years. This book represents a posthumous example of his efforts in the area, as he passed away in April 2011. This book, his book, is dedicated to his memory.

Keywords

Computer Science Education Curriculum Design Information Retrieval Interactive Learning Pedagogical Design

Editors and affiliations

  • Efthimis Efthimiadis
    • 1
  • Juan M. Fernández-Luna
    • 2
  • Juan F. Huete
    • 3
  • Andrew MacFarlane
    • 4
  1. 1.University of WashingtonSeattleUSA
  2. 2., Departamento de Ciencias de laUniversidad de GranadaGranadaSpain
  3. 3., Departamento de Ciencias de laUniversidad de GranadaGranadaSpain
  4. 4., Department of Information ScienceCity University LondonLondonUnited Kingdom

About the editors

Efthimis N. Efthimiadis

Efthimis Efthimiadis obtained a Ph.D in Information Science from City University London in 1992. His research focused on the design of front-end interfaces that improve access to databases, and on the evaluation of information retrieval systems. Further interests included the application of probabilistic techniques to information retrieval and in methods that incorporate user preferences and user interaction in the retrieval techniques. Efthimiadis' research in the area of query expansion was concerned with the evaluation of ranking algorithms and the study of the searching behaviour of endusers. Professor Efthimiadis taught courses on the principles of information retrieval, database design, online search techniques, internet access, introduction to information science, business information and medical informatics.

Juan M. Fernández-Luna

Juan Manuel Fernández-Luna got his Computer Science degree in 1994 at the University of Granada, Spain. In 2001 he got his PhD at the same institution, working on a thesis in which several retrieval models based on Bayesian networks for Information Retrieval where designed. Currently, his main research area is XML retrieval, although he also is working in collaboration with Juan F. Huete in collaborative IR, recommender systems, learning to rank and heterogeneous data source integration. He has got experience organizing international conferences and workshops, among them the I and II International Workshops on Teaching and Learning of Information Retrieval. He has been co-editor of several journal special issues, highlighting the special Information Retrieval issue on Teaching and Learning of Information Retrieval. He also belongs to the programme committees of the main IR conferences.

Juan F. Huete

Juan F. Huete is assistant professor at the Department of Computer Science and Artificial Intelligence at the University of Granada. He got his PhD in 1995, researching on the uncertainty treatment in Artificial Intelligence under the formalism of Bayesian networks. From 1998, his research interest is Information Retrieval, designing retrieval models based on these graphical models. He is currently also working in the Recommender System field, although other fields like collaborative IR or learning to rank. He has been co-editor of a special Information and Processing Management issue on Bayesian networks and Information Retrieval. He has co-organized several international conferences, as well as workshops. Among these last types of events, the following three could be highlighted: I and II International Workshop on Teaching and Learning of Information Retrieval and the SIGIR'07 Workshop on Information Retrieval and Graphical Models.

Andrew MacFarlane

Andrew MacFarlane is a Senior Lecturer in the Department of Information Science at City University, and currently co-directs the Centre of Interactive Systems Research with Prof Stephen Robertson of Microsoft Research Cambridge. He got his PhD Information Science from the same Department under the supervision of Prof Robertson and Dr. J.A. McCann (now at Imperial College London) in 2000. His research interests currently focus on a number of areas including parallel computing for information retrieval, disabilities and Information Retrieval (dyslexia in particular), AI techniques for Information Retrieval and Filtering, and Open Source Software Development. He is the Chair of the BCS Information Retrieval Specialist Group and is a long standing member of that SG.

Bibliographic information

  • Book Title Teaching and Learning in Information Retrieval
  • Editors Efthimis Efthimiadis
    Juan M. Fernández-Luna
    Juan F. Huete
    Andrew MacFarlane
  • Series Title The Information Retrieval Series
  • Series Abbreviated Title Information Retrieval
  • DOI https://doi.org/10.1007/978-3-642-22511-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science Computer Science (R0)
  • Hardcover ISBN 978-3-642-22510-9
  • Softcover ISBN 978-3-662-50677-6
  • eBook ISBN 978-3-642-22511-6
  • Series ISSN 1387-5264
  • Edition Number 1
  • Number of Pages XV, 213
  • Number of Illustrations 32 b/w illustrations, 0 illustrations in colour
  • Topics Information Storage and Retrieval
    Computers and Education
    Curriculum Studies
  • Buy this book on publisher's site
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Reviews

"This excellent book is a must-read for anyone struggling to teach IR--whether in a library school, an information school, a computer science department, or an informatics department." - Donald H. Kraft, ACM Computing Reviews, July 2012