Trends in Music Information Seeking, Behavior, and Retrieval for Creativity, Petros Kostagiolas, Konstantina Martzoukou, Charilaos Lavranos

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: Massimo Melucci; Ricardo Baeza-Yates
Название: Advanced Topics in Information Retrieval
ISBN: 3642268633 ISBN-13(EAN): 9783642268632
Издательство: Springer
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Цена: 16070.00 р.
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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: Harold Thimbleby, George Buchanan, Jennifer Pearso
Название: Designing for Digital Reading
ISBN: 1627052437 ISBN-13(EAN): 9781627052436
Издательство: Mare Nostrum (Eurospan)
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Цена: 6237.00 р.
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Описание: Reading is a complex human activity that has evolved, and co-evolved, with technology over thousands of years. Mass printing in the fifteenth century firmly established what we know as the modern book, with its physical format of covers and paper pages, and now-standard features such as page numbers, footnotes, and diagrams. Today, electronic documents are enabling paperless reading supported by eReading technologies such as Kindles and Nooks, yet a high proportion of users still opt to print on paper before reading. This persistent habit of ""printing to read"" is one sign of the shortcomings of digital documents -- although the popularity of eReaders is one sign of the shortcomings of paper. How do we get the best of both worlds?The physical properties of paper (for example, it is light, thin, and flexible) contribute to the ease with which physical documents are manipulated; but these properties have a completely different set of affordances to their digital equivalents. Paper can be folded, ripped, or scribbled on almost subconsciously -- activities that require significant cognitive attention in their digital form, if they are even possible. The nearly subliminal interaction that comes from years of learned behavior with paper has been described as lightweight interaction, which is achieved when a person actively reads an article in a way that is so easy and unselfconscious that they are not apt to remember their actions later.Reading is now in a period of rapid change, and digital text is fast becoming the predominant mode of reading. As a society, we are merely at the start of the journey of designing truly effective tools for handling digital text.This book investigates the advantages of paper, how the affordances of paper can be realized in digital form, and what forms best support lightweight interaction for active reading. To understand how to design for the future, we review the ways reading technology and reader behavior have both changed and remained constant over hundreds of years. We explore the reasoning behind reader behavior and introduce and evaluate several user interface designs that implement these lightweight properties familiar from our everyday use of paper.We start by looking back, reviewing the development of reading technology and the progress of research on reading over many years. Drawing key concepts from this review, we move forward to develop and test methods for creating new and more effective interactions for supporting digital reading. Finally, we lay down a set of lightweight attributes which can be used as evidence-based guidelines to improve the usability of future digital reading technologies. By the end of this book, then, we hope you will be equipped to critique the present state of digital reading, and to better design and evaluate new interaction styles and technologies.

Автор: Tella Adeyinka
Название: Information Seeking Behavior and Challenges in Digital Libraries
ISBN: 1522502963 ISBN-13(EAN): 9781522502968
Издательство: Mare Nostrum (Eurospan)
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Цена: 27027.00 р.
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Описание: Digital libraries have been established worldwide to make information more readily available, and this innovation has changed the way information seekers interact with the data they are collecting. Faced with decentralized, heterogeneous sources, these users must be familiarized with high-level search activities in order to sift through large amounts of data. Information Seeking Behavior and Challenges in Digital Libraries addresses the problems of usability and search optimization in digital libraries. With topics addressing all aspects of information seeking activity, the research found in this book provides insight into library user experiences and human-computer interaction when searching online databases of all types. This book addresses the challenges faced by professionals in information management, librarians, developers, students of library science, and policy makers.

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: Meinard M?ller
Название: Information Retrieval for Music and Motion
ISBN: 364209337X ISBN-13(EAN): 9783642093371
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This monograph details concepts and algorithms for robust and efficient information retrieval of two different types of multimedia data: waveform-based music data and human motion data.

Автор: Shengli Wu
Название: Data Fusion in Information Retrieval
ISBN: 3642448011 ISBN-13(EAN): 9783642448010
Издательство: Springer
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Цена: 18284.00 р.
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Описание: This book offers a theoretical and empirical approach to data fusion, used in information retrieval in complex, diverse settings such as web and social networks, legal, enterprise and others. Discusses, analyzes and ealuates typical data fusion algorithms.

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: Donald Metzler
Название: A Feature-Centric View of Information Retrieval
ISBN: 3642270174 ISBN-13(EAN): 9783642270178
Издательство: Springer
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Цена: 13275.00 р.
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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: 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: 27251.00 р.
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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: 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: 12577.00 р.
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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: 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.