A Preference Index Design for Big Data
TripAdvisor is a business service that works as a reputation system to guarantee quality in tourism experience. This kind of new service is based on Big Data technologies and characterized by generating, managing and summarizing, even with rating indexes,
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Paolo Mariani · Mariangela Zenga Editors
Data Science and Social Research II Methods, Technologies and Applications
Studies in Classification, Data Analysis, and Knowledge Organization
Managing Editors
Editorial Board
Wolfgang Gaul, Karlsruhe, Germany
Daniel Baier, Bayreuth, Germany
Maurizio Vichi, Rome, Italy
Frank Critchley, Milton Keynes, UK
Claus Weihs, Dortmund, Germany
Reinhold Decker, Bielefeld, Germany Edwin Diday, Paris, France Michael Greenacre, Barcelona, Spain Carlo Natale Lauro, Naples, Italy Jacqueline Meulman, Leiden, The Netherlands Paola Monari, Bologna, Italy Shizuhiko Nishisato, Toronto, Canada Noboru Ohsumi, Tokyo, Japan Otto Opitz, Augsburg, Germany Gunter Ritter, Passau, Germany Martin Schader, Mannheim, Germany
More information about this series at http://www.springer.com/series/1564
Paolo Mariani Mariangela Zenga •
Editors
Data Science and Social Research II Methods, Technologies and Applications
123
Editors Paolo Mariani Department of Economics Management and Statistics University of Milano-Bicocca Milan, Italy
Mariangela Zenga Department of Statistics and Quantitative Methods University of Milano-Bicocca Milan, Italy
ISSN 1431-8814 ISSN 2198-3321 (electronic) Studies in Classification, Data Analysis, and Knowledge Organization ISBN 978-3-030-51221-7 ISBN 978-3-030-51222-4 (eBook) https://doi.org/10.1007/978-3-030-51222-4 © Springer Nature Switzerland AG 2021 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland
Preface
As digital technologies, the Internet and social media become increasingly integrated into society, a proliferation of digital footprint of human and societal behaviours are generated in our daily lives. All these data provide opportunitie
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