Learning to Rank for Information Retrieval, Tie-Yan Liu

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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Цена: 9029.00 р.
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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: 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: 12577.00 р.
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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: 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: 10480.00 р.
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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: Amihood Amir; Andrew Turpin; Alistair Moffat
Название: String Processing and Information Retrieval
ISBN: 3540890963 ISBN-13(EAN): 9783540890966
Издательство: Springer
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Цена: 9781.00 р.
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Описание: Constitutes the refereed proceedings of the 15th International Symposium on String Processing and Information Retrieval, SPIRE 2008, held in Melbourne, Australia, in November 2008. This book presents the papers that are organized in topical sections on compression and performance, information retrieval scoring and ranking, and self-indexing.

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: 26120.00 р.
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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: Hang Li; Ting Liu; Wei-Ying Ma; Tetsuya Sakai; Kam
Название: Information Retrieval Technology
ISBN: 3540686339 ISBN-13(EAN): 9783540686330
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The papers are organized in topical sections on IR models image retrieval, text classification, chinese language processing, text processing, application of IR, machine learning, taxonomy, IR methods, information extraction, summarization, multimedia, Web IR, and text clustering.

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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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: Efthimis Efthimiadis; Juan M. Fern?ndez-Luna; Juan
Название: Teaching and Learning in Information Retrieval
ISBN: 3662506777 ISBN-13(EAN): 9783662506776
Издательство: Springer
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Цена: 13275.00 р.
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Описание: With information retrieval a growing field of research, teaching it requires new resources. This book aims to provide theoretical and practical ideas for teaching IR, a topic which has up to now suffered from a lack of literature on its pedagogical aspects.