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Understanding search engines : mathematical modeling and text retrieval

Author: Michael W Berry; Murray Browne; Society for Industrial and Applied Mathematics.
Publisher: Philadelphia, Pa. : Society for Industrial and Applied Mathematics (SIAM, 3600 Market Street, Floor 6, Philadelphia, PA 19104), 2005.
Series: Software, environments, tools, 17.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Summary:
The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Berry, Michael W.
Understanding search engines.
Philadelphia, PA : SIAM, Society for Industrial and Applied Mathematics, ©2005
(DLC) 2005042539
(OCoLC)57573973
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Michael W Berry; Murray Browne; Society for Industrial and Applied Mathematics.
ISBN: 9780898718164 0898718163
OCLC Number: 693949035
Notes: Title from title screen, viewed 10/20/2010.
Description: 1 online resource (xvii, 117 pages : illustrations) : digital file.
Contents: Preface to the Second Edition --
Preface to the First Edition --
Chapter 1: Introduction --
Chapter 2: Document File Preparation --
Chapter 3: Vector Space Models --
Chapter 4: Matrix Decompositions --
Chapter 5: Query Management --
Chapter 6: Ranking and Relevance Feedback --
Chapter 7: Searching by Link Structure --
Chapter 8: User Interface Considerations --
Chapter 9: Further Reading --
Bibliography --
Index.
Series Title: Software, environments, tools, 17.
Responsibility: Michael W. Berry, Murray Browne.

Abstract:

The second edition of Understanding Search Engines: Mathematical Modeling and Text Retrieval follows the basic premise of the first edition by discussing many of the key design issues for building search engines and emphasizing the important role that applied mathematics can play in improving information retrieval. The authors discuss important data structures, algorithms, and software as well as user-centered issues such as interfaces, manual indexing, and document preparation. Readers will find that the second edition includes significant changes that bring the text up to date on current information retrieval methods. For example, the authors have added a completely new chapter on link-structure algorithms used in search engines such as Google, and the chapter on user interface has been rewritten to specifically focus on search engine usability. To reflect updates in the literature on information retrieval, the authors have added new recommendations for further reading and expanded the bibliography. In addition, the index has been updated and streamlined to make it more reader friendly.

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