Advances in Information Retrieval

36th European Conference on IR Research, ECIR 2014, Amsterdam, The Netherlands, April 13-16, 2014. Proceedings

  • Maarten de Rijke
  • Tom Kenter
  • Arjen P. de Vries
  • ChengXiang Zhai
  • Franciska de Jong
  • Kira Radinsky
  • Katja Hofmann

Part of the Lecture Notes in Computer Science book series (LNCS, volume 8416)

Table of contents

  1. Front Matter
  2. Session 1A: Evaluation

  3. Session 1B: Recommendation

  4. Session 2A: Optimization

    1. Anne Schuth, Floor Sietsma, Shimon Whiteson, Maarten de Rijke
      Pages 75-87
    2. Jaime Arguello
      Pages 88-99
    3. Liudmila Ostroumova, Ivan Bogatyy, Arseniy Chelnokov, Alexey Tikhonov, Gleb Gusev
      Pages 100-111
  5. Session 2B: Semantics

    1. Myriam C. Traub, Jacco van Ossenbruggen, Jiyin He, Lynda Hardman
      Pages 112-123
    2. Andrew Yates, Nazli Goharian, Ophir Frieder
      Pages 124-135
    3. Shruti Chhabra, Srikanta Bedathur
      Pages 136-147
  6. Session 3A: Evaluation

    1. Yuanhua Lv, Ariel Fuxman, Ashok K. Chandra
      Pages 160-171
  7. Session 3B: Aggregation

    1. Damien Lefortier, Pavel Serdyukov, Fedor Romanenko, Maarten de Rijke
      Pages 184-196
    2. Stanislav Makeev, Andrey Plakhov, Pavel Serdyukov
      Pages 197-209
  8. Session 4A: Queries

About these proceedings

Introduction

This book constitutes the proceedings of the 36th European Conference on IR Research, ECIR 2014, held in Amsterdam, The Netherlands, in April 2014.
The 33 full papers, 50 poster papers and 15 demonstrations presented in this volume were carefully reviewed and selected from 288 submissions. The papers are organized in the following topical sections: evaluation, recommendation, optimization, semantics, aggregation, queries, mining social media, digital libraries, efficiency, and information retrieval theory. Also included are 3 tutorial and 4 workshop presentations.

Keywords

Web and social media search clustering and classification content ranking crowdsourcing human computer interaction machine learning recommender systems social media social tagging user models

Editors and affiliations

  • Maarten de Rijke
    • 1
  • Tom Kenter
    • 1
  • Arjen P. de Vries
    • 2
  • ChengXiang Zhai
    • 3
  • Franciska de Jong
    • 4
  • Kira Radinsky
    • 5
  • Katja Hofmann
    • 6
  1. 1.University of AmsterdamAmsterdamThe Netherlands
  2. 2.Centrum Wiskunde en Informatica, Amsterdam, The Netherlands and Delft University of TechnologyDelftThe Netherlands
  3. 3.University of Illinois at Urbana-ChampaignUrbanaUSA
  4. 4.University of Twente, Twente, The Netheralnds and Erasmus University Rotterdam, RotterdamThe Netherlands
  5. 5.SalesPredictHaifaIsrael
  6. 6.Microsoft ResearchCambridgeUK

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-06028-6
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-06027-9
  • Online ISBN 978-3-319-06028-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book

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