SogouQ: The First Large-Scale Test Collection with Click Streams Used in a Shared-Task Evaluation
Search logs are very precious for information retrieval studies. In this chapter, we will introduce a real Chinese query log dataset, SogouQ, which was released by SogouQ corporation in 2010 for the NTCIR-9 Intent task. SogouQ contains more than 30 millio
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Tetsuya Sakai · Douglas W. Oard · Noriko Kando Editors
Evaluating Information Retrieval and Access Tasks NTCIR’s Legacy of Research Impact
The Information Retrieval Series Volume 43
Series Editors ChengXiang Zhai, University of Illinois, Urbana, IL, USA Maarten de Rijke, University of Amsterdam, Netherlands and Ahold Delhaize, Zaandam, Netherlands Editorial Board Nicholas J. Belkin, Rutgers University, New Brunswick, NJ, USA Charles Clarke, University of Waterloo, Waterloo, ON, Canada Diane Kelly, University of Tennessee at Knoxville, Knoxville, TN, USA Fabrizio Sebastiani, Consiglio Nazionale delle Ricerche, Pisa, Italy
Information Retrieval (IR) deals with access to and search in mostly unstructured information, in text, audio, and/or video, either from one large file or spread over separate and diverse sources, in static storage devices as well as on streaming data. It is part of both computer and information science, and uses techniques from e.g. mathematics, statistics, machine learning, database management, or computational linguistics. Information Retrieval is often at the core of networked applications, web-based data management, or large-scale data analysis. The Information Retrieval Series presents monographs, edited collections, and advanced text books on topics of interest for researchers in academia and industry alike. Its focus is on the timely publication of state-of-the-art results at the forefront of research and on theoretical foundations necessary to develop a deeper understanding of methods and approaches.
More information about this series at http://www.springer.com/series/6128
Tetsuya Sakai Douglas W. Oard Noriko Kando •
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Editors
Evaluating Information Retrieval and Access Tasks NTCIR’s Legacy of Research Impact
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Editors Tetsuya Sakai Department of Computer Science and Engineering Waseda University Tokyo, Japan
Douglas W. Oard College of Information Studies University of Maryland College Park, MD, USA
Noriko Kando Information-Society Research Division National Institute of Informatics Tokyo, Japan
This open access book is funded by the National Institute of Informatics, Japan.
ISSN 1871-7500 ISSN 2730-6836 (electronic) The Information Retrieval Series ISBN 978-981-15-5553-4 ISBN 978-981-15-5554-1 (eBook) https://doi.org/10.1007/978-981-15-5554-1 © The Editor(s) (if applicable) and The Author(s) 2021. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book's Creative Commons
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