Information Retrieval Meets Information Visualization, Maristella Agosti; Nicola Ferro; Pamela Forner; He

Автор: Manning, Christopher D. Raghavan, Prabhakar Schutz
Название: Introduction to information retrieval
ISBN: 0521865719 ISBN-13(EAN): 9780521865715
Издательство: Cambridge Academ
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Описание: Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers.

Автор: Gabriele Fici; Marinella Sciortino; Rossano Ventur
Название: String Processing and Information Retrieval
ISBN: 3319674277 ISBN-13(EAN): 9783319674278
Издательство: Springer
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Описание: This book constitutes the proceedings of the 24th International Symposium on String Processing and Information Retrieval, SPIRE 2017, held in Palermo, Italy, in September 2017. They focus on fundamental studies on string processing and information retrieval, as well as on computational biology.

Автор: Rafael Banchs; Fabrizio Silvestri; Tie-Yan Liu; Mi
Название: Information Retrieval Technology
ISBN: 3642450679 ISBN-13(EAN): 9783642450679
Издательство: Springer
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Описание: This book constitutes the refereed proceedings of the 9th Information Retrieval Societies Conference, AIRS 2013, held in Singapore, in December 2013. They are organized in the following topical sections: IR theory, modeling and query processing;

Автор: Lai
Название: Information Filtering and Retrieval
ISBN: 3319461338 ISBN-13(EAN): 9783319461335
Издательство: Springer
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Цена: 18167.00 р.
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Описание: 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.

Автор: Donald Metzler
Название: A Feature-Centric View of Information Retrieval
ISBN: 3642270174 ISBN-13(EAN): 9783642270178
Издательство: Springer
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Описание: In this work, Metzler describes highly effective information retrieval models for both smaller, classical data sets, and larger Web collections. In a shift away from heuristic, hand-tuned ranking functions and complex probabilistic models, he presents feature-based retrieval models. As he shows, combining term dependencies and arbitrary features results in a very robust, powerful retrieval model.

Автор: John I. Tait
Название: Charting a New Course: Natural Language Processing and Information Retrieval.
ISBN: 9401781672 ISBN-13(EAN): 9789401781671
Издательство: Springer
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Описание: Karen Sparck Jones is one of the major figures of 20th century and early 21st Century computing and information processing.

Автор: Inenaga
Название: String Processing and Information Retrieval
ISBN: 331946048X ISBN-13(EAN): 9783319460482
Издательство: Springer
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Цена: 6988.00 р.
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Описание: This book constitutes the refereed proceedings of the 23rd International Symposium on String Processing and Information Retrieval, SPIRE 2016, held in Beppu, Japan, in October 2016.

Автор: Gerald J. Kowalski
Название: Information Retrieval Systems
ISBN: 1475770324 ISBN-13(EAN): 9781475770322
Издательство: Springer
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Цена: 13974.00 р.
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Описание: The challenge to both authors of new publications that will reside on this information domain and developers of systems to locate information is to provide the information and capabilities to sort out the non-relevant items from those desired by the consumer.

Автор: Pamela Forner; Henning M?ller; Roberto Paredes; Pa
Название: Information Access Evaluation. Multilinguality, Multimodality, and Visualization
ISBN: 364240801X ISBN-13(EAN): 9783642408014
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the refereed proceedings of the 4th International Conference of the CLEF Initiative, CLEF 2013, held in Valencia, Spain, in September 2013. The 32 papers and 2 keynotes presented were carefully reviewed and selected for inclusion in this volume. The papers are organized in topical sections named: evaluation and visualization;

Автор: Massimo Melucci
Название: Introduction to Information Retrieval and Quantum Mechanics
ISBN: 3662483122 ISBN-13(EAN): 9783662483121
Издательство: Springer
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Описание: This book introduces the quantum mechanical framework to information retrieval scientists seeking a new perspective on foundational problems.

Автор: Zbigniew W. Ras; Alicja Wieczorkowska
Название: Advances in Music Information Retrieval
ISBN: 3642262716 ISBN-13(EAN): 9783642262715
Издательство: Springer
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Описание: This book collects research performed in music information retrieval domain, and the outcomes, as well as trends in this research. Four sections cover MIR Methods and Platforms, Harmony, Music Similarity, and Content Based Identification and Retrieval.

Автор: Stefano Ceri; Alessandro Bozzon; Marco Brambilla;
Название: Web Information Retrieval
ISBN: 3642431186 ISBN-13(EAN): 9783642431180
Издательство: Springer
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Описание: Part I Principles of Information Retrieval.- An Introduction to Information Retrieval.- The Information Retrieval Process.- Information Retrieval Models.- Classification and Clustering.- Natural Language Processing for Search.- Part II Information Retrieval for the Web.- Search Engines.- Link Analysis.- Recommendation and Diversification for the Web.- Advertising in Search.- Part III Advanced Aspects of Web Search.- Publishing Data on the Web.- Meta-Search and Multi-Domain Search.- Semantic Search.- Multimedia Search.- Search Process and Interfaces.- Human Computation and Crowd Search.