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Information Filtering and Retrieval

DART 2014: Revised and Invited Papers

  • Book
  • © 2017

Overview

Editors:
  1. Cristian Lai

    1. Parco Scientifico e Technologico della Sardegna, Center of Advanced Studies, Research and Development in Sardinia (CRS4), Pula, Italy

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  2. Alessandro Giuliani

    1. Dept. of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

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  3. Giovanni Semeraro

    1. Dept. of Computer Science , University of Bari Aldo Moro, Bari, Italy

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  • Highlights the latest research on distributed systems and applications of information filtering and retrieval
  • Presents extended and invited papers from DART 2014 – the 8th International Workshop on Information Filtering and Retrieval held in Pisa, Italy, on December 10, 2014
  • Combines theoretical aspects and application papers, making it useful for researchers and practitioners alike
  • Includes supplementary material: sn.pub/extras

Part of the book series: Studies in Computational Intelligence (SCI, volume 668)

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About this book

This book focuses on new research challenges in intelligent information filtering and retrieval. It collects invited chapters and extended research contributions from DART 2014 (the 8th International Workshop on Information Filtering and Retrieval), held in Pisa (Italy), on December 10, 2014, and co-hosted with the XIII AI*IA Symposium on Artificial Intelligence. The main focus of DART was to discuss and compare suitable novel solutions based on intelligent techniques and applied to real-world contexts. The chapters of this book present a comprehensive review of related works and the current state of the art. The contributions from both practitioners and researchers have been carefully reviewed by experts in the area, who also gave useful suggestions to improve the quality of the book.

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. Time Event Extraction to Boost an Information Retrieval System

    • Pierpaolo Basile, Annalina Caputo, Giovanni Semeraro, Lucia Siciliani
    Pages 1-12

  3. Interactive Text Categorisation: The Geometry of Likelihood Spaces

    • Giorgio Maria Di Nunzio
    Pages 13-34

  4. Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach

    • Marco Pavan, Stefano Mizzaro, Ivan Scagnetto
    Pages 35-61

  5. SABRE: A Sentiment Aspect-Based Retrieval Engine

    • Annalina Caputo, Pierpaolo Basile, Marco de Gemmis, Pasquale Lops, Giovanni Semeraro, Gaetano Rossiello
    Pages 63-78

  6. Monitoring and Supporting People that Need Assistance: The BackHome Experience

    • Xavier Rafael-Palou, Eloisa Vargiu, Stefan Dauwalder, Felip Miralles
    Pages 79-96

  7. The Relevance of Providing Useful and Personalized Information to Therapists and Caregivers in Tele*

    • Juan Manuel Fernández, Marc Solà, Alexander Steblin, Eloisa Vargiu, Felip Miralles
    Pages 97-117
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Editors and Affiliations

  • Parco Scientifico e Technologico della Sardegna, Center of Advanced Studies, Research and Development in Sardinia (CRS4), Pula, Italy

    Cristian Lai

  • Dept. of Electrical and Electronic Engineering, University of Cagliari, Cagliari, Italy

    Alessandro Giuliani

  • Dept. of Computer Science , University of Bari Aldo Moro, Bari, Italy

    Giovanni Semeraro

Bibliographic Information

  • Book Title: Information Filtering and Retrieval

  • Book Subtitle: DART 2014: Revised and Invited Papers

  • Editors: Cristian Lai, Alessandro Giuliani, Giovanni Semeraro

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-319-46135-9

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing AG 2017

  • Hardcover ISBN: 978-3-319-46133-5Published: 18 October 2016

  • Softcover ISBN: 978-3-319-83449-8Published: 16 June 2018

  • eBook ISBN: 978-3-319-46135-9Published: 08 October 2016

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VII, 117

  • Number of Illustrations: 50 b/w illustrations

  • Topics: Computational Intelligence

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