Current Challenges in Patent Information Retrieval, Mihai Lupu; Katja Mayer; Noriko Kando; Anthony J.

Автор: Jussi Karlgren; Jorma Tarhio; Heikki Hyyr?
Название: String Processing and Information Retrieval
ISBN: 3642037836 ISBN-13(EAN): 9783642037832
Издательство: Springer
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Цена: 69870.00 T
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Описание: The papers are organized in topical sections on algorithms on trees, compressed indexes, compression, indexing, content analysis, string algorithms and bioinformatics, string algorithms and theory, and using and understanding usage.

Автор: Richard Chbeir; Youakim Badr; Ajith Abraham; Aboul
Название: Emergent Web Intelligence: Advanced Information Retrieval
ISBN: 1447125495 ISBN-13(EAN): 9781447125495
Издательство: Springer
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Цена: 181670.00 T
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Описание: This volume reviews cutting-edge technologies and insights related to XML-based and multimedia information access and data retrieval. And by applying new techniques to real-world scenarios, it details how organizations can gain competitive advantages.

Автор: Zbigniew W. Ras; Alicja Wieczorkowska
Название: Advances in Music Information Retrieval
ISBN: 3642262716 ISBN-13(EAN): 9783642262715
Издательство: Springer
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Цена: 174130.00 T
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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: Shaoping Ma; Ji-Rong Wen; Yiqun Liu; Zhicheng Dou;
Название: Information Retrieval Technology
ISBN: 3319480502 ISBN-13(EAN): 9783319480503
Издательство: Springer
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Цена: 54040.00 T
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Описание: This book constitutes the refereed proceedings of the 12th Information Retrieval Societies Conference, AIRS 2016, held in Beijing, China, in November/December 2016. The 21 full papers presented together with 11 short papers were carefully reviewed and selected from 57 submissions.

Автор: Dawei Song; Chin-Yew Lin; Akiko Aizawa; Kazuko Kur
Название: Information Retrieval Technology
ISBN: 3642047688 ISBN-13(EAN): 9783642047688
Издательство: Springer
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Цена: 83850.00 T
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Описание: This book constitutes the refereed proceedings of the 5th Asia Information Retrieval Symposium, AIRS 2009, held in Sapporo, Japan, in October 2009. The 18 revised full papers and 20 revised poster papers presented were carefully reviewed and selected from 82 submissions.

Автор: Leif Azzopardi; Gabriella Kazai; Stephen Robertson
Название: Advances in Information Retrieval Theory
ISBN: 3642044166 ISBN-13(EAN): 9783642044168
Издательство: Springer
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Цена: 83850.00 T
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Описание: The papers are categorized into four main themes: novel IR models, evaluation, efficiency, and new perspectives in IR. Twenty-one papers fall into the general theme of novel IR models, ranging from various retrieval models, query and term selection models, Web IR models, developments in novelty and diversity, to the modeling of user aspects.

Автор: Massimo Melucci; Ricardo Baeza-Yates
Название: Advanced Topics in Information Retrieval
ISBN: 3642268633 ISBN-13(EAN): 9783642268632
Издательство: Springer
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Цена: 107130.00 T
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Описание: In this book, the authors, selected from the lecturers of the European Summer School in Information Retrieval, illustrate key problems and topics in the current development of Information Retrieval and on future search engine technology.

Автор: Buttcher Stefan, Clarke Charles L. A., Cormack Gordon V.
Название: Information Retrieval: Implementing and Evaluating Search Engines
ISBN: 0262528878 ISBN-13(EAN): 9780262528870
Издательство: MIT Press
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Цена: 50790.00 T
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Описание:

An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.

Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus -- a multiuser open-source information retrieval system developed by one of the authors and available online -- provides model implementations and a basis for student work. The modular structure of the book allows instructors to use it in a variety of graduate-level courses, including courses taught from a database systems perspective, traditional information retrieval courses with a focus on IR theory, and courses covering the basics of Web retrieval. In addition to its classroom use, Information Retrieval will be a valuable reference for professionals in computer science, computer engineering, and software engineering.

Автор: Donald Metzler
Название: A Feature-Centric View of Information Retrieval
ISBN: 3642270174 ISBN-13(EAN): 9783642270178
Издательство: Springer
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Цена: 88500.00 T
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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.