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Book Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)

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Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)

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    Available in PDF - DJVU Format | Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science).pdf | Language: ENGLISH
    David A. Grossman(Author) Ophir Frieder(Author)

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Information Retrieval: Algorithms and Heuristics is acomprehensive introduction to the study of information retrievalcovering both effectiveness and run-time performance. The focus of thepresentation is on algorithms and heuristics used to find documentsrelevant to the user request and to find them fast. Through multipleexamples, the most commonly used algorithms and heuristics needed aretackled. Tofacilitate understanding and applications, introductionsto and discussions of computational linguistics, natural languageprocessing, probability theory and library and computer science areprovided. While this textfocuses on algorithms and not on commercialproduct per se, the basic strategies used by many commercial productsare described. Techniques that can be used to find information on theWeb, as well as in other largeinformation collections, are included.
This volume is an invaluable resource for researchers, practitioners,and students working in information retrieval and databases. Forinstructors, a set of Powerpointslides, including speaker notes, areavailable online from the authors.

From the reviews of the second edition:

2.2 (10240)
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Required Software Any PDF Reader, Apple Preview
Supported Devices Windows PC/PocketPC, Mac OS, Linux OS, Apple iPhone/iPod Touch.
# of Devices Unlimited
Flowing Text / Pages Pages
Printable? Yes

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Read online or download a free book: Information Retrieval: Algorithms and Heuristics (The Springer International Series in Engineering and Computer Science)

 

Review Text

  • By R. Bierig on 13 October 2014

    Unfortunatly not really good. I recommend the Manning (Stanford) book, if you are interested in Information Retrieval.


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