Information Filtering and Retrieval - DART 2014: Revised and Invited Papers

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.

List of contents

Time Event Extraction to Boost an Information Retrieval System.- Interactive Text Categorisation: The Geometry of Likelihood Spaces.- Mining Movement Data to Extract Personal Points of Interest: A Feature Based Approach.- SABRE: a Sentiment Aspect-Based Retrieval Engine.- Monitoring and Supporting People that Need Assistance: the BackHome Experience.- The Relevance of Providing Useful and Personalized Information to Therapists and Caregivers in Tele*.

Product details

• Assisted by: Alessandr Giuliani (Editor), Alessandro Giuliani (Editor), Cristian Lai (Editor), Giovanni Semeraro (Editor)
• Publisher: Springer, Berlin
• Languages: English
• Product format: Hardback
• Released: 01.01.2016
• EAN: 9783319461335
• ISBN: 978-3-31-946133-5
• No. of pages: 117
• Dimensions: 167 mm x 242 mm x 13 mm
• Weight: 309 g
• Illustrations: VII, 117 p. 50 illus.
• Series: Studies in Computational Intelligence; Studies in Computational Intelligence
• Subjects: Natural sciences, medicine, IT, technology > Technology > General, dictionaries; B, Information Retrieval, engineering, Computational Intelligence, Intelligent Systems, Information Filtering