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. Ed(S): Melucci, Massimo; Baeza-Yates, Ricardo - Advanced Topics in Information Retrieval - 9783642209451 - V9783642209451
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Advanced Topics in Information Retrieval

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Description for Advanced Topics in Information Retrieval Hardback. 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. Editor(s): Melucci, Massimo; Baeza-Yates, Ricardo. Series: The Information Retrieval Series. Num Pages: 308 pages, biography. BIC Classification: UNH. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 19. Weight in Grams: 726.

Information retrieval is the science concerned with the effective and efficient retrieval of documents starting from their semantic content. It is employed to fulfill some information need from a large number of digital documents. Given the ever-growing amount of documents available and the heterogeneous data structures used for storage, information retrieval has recently faced and tackled novel applications.

In this book, Melucci and Baeza-Yates present a wide-spectrum illustration of recent research results in advanced areas related to information retrieval. Readers will find chapters on e.g. aggregated search, digital advertising, digital libraries, discovery of spam and opinions, information retrieval in ... Read more

With this selection, the editors provide the most up-to-date survey of topics usually not addressed in depth in traditional (text)books on information retrieval. The presentation is intended for a wide audience of people interested in information retrieval: undergraduate and graduate students, post-doctoral researchers, lecturers, and industrial researchers.

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Product Details

Format
Hardback
Publication date
2011
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
308
Condition
New
Series
The Information Retrieval Series
Number of Pages
276
Place of Publication
Berlin, Germany
ISBN
9783642209451
SKU
V9783642209451
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

About . Ed(S): Melucci, Massimo; Baeza-Yates, Ricardo
Massimo Melucci has been an Associate Professor of Computer Science at the Department of Information Engineering and Faculty of Statistics of the University of Padua, Italy since 2001. His research interests include information retrieval modeling and contextual search. He is also currently looking at the use of some theoretical instruments of quantum mechanics in information retrieval modeling. He has published ... Read more

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