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Understanding Search Engines: Mathematical Modeling and Text Retrieval
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General Information
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Type.................: Ebook
Part Size............: 6,302,535 bytes
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Posted by............: ~tqw~
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Release Notes
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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.
Instructors will find that the book serves as an excellent companion text for
courses in information retrieval, applied linear algebra, and scientific
computing. Because of the authors’ informal, conversational tone, readers with
nonmathematical backgrounds also will appreciate the less technical chapters of
the text.
Table Contents
Preface to the Second Edition xi
Preface to the First Edition xv
1 Introduction 1
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: User Interface Considerations
Chapter 8: A Course Project
Chapter 9: Further Reading
Bibliography
Index
Product Details
* ISBN: 0898715814
* ISBN-13: 9780898715811
* Format: Paperback, 117pp
* Publisher: SIAM
* Pub. Date: April 2005
* Edition Number: 2
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