Understanding Search Engines: Mathematical Modeling and Text Retrieval [Software

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Item specifics

Condition
Good: A book that has been read but is in good condition. Very minimal damage to the cover including ...
ISBN
9780898715811
Subject Area
Mathematics, Computers
Publication Name
Understanding Search Engines : Mathematical Modeling and Text Retrieval
Publisher
Society for Industrial AND Applied Mathematics
Item Length
8.9 in
Subject
Web / Search Engines, Document Management, Databases / General, Vector Analysis
Publication Year
2005
Series
Software Environments and Tools Ser.
Type
Textbook
Format
Trade Paperback
Language
English
Item Height
0.3 in
Author
Michael W. Berry, Murray Browne
Item Weight
7.1 Oz
Item Width
5.9 in
Number of Pages
134 Pages
Category

About this product

Product Identifiers

Publisher
Society for Industrial AND Applied Mathematics
ISBN-10
0898715814
ISBN-13
9780898715811
eBay Product ID (ePID)
50878287

Product Key Features

Number of Pages
134 Pages
Publication Name
Understanding Search Engines : Mathematical Modeling and Text Retrieval
Language
English
Subject
Web / Search Engines, Document Management, Databases / General, Vector Analysis
Publication Year
2005
Type
Textbook
Author
Michael W. Berry, Murray Browne
Subject Area
Mathematics, Computers
Series
Software Environments and Tools Ser.
Format
Trade Paperback

Dimensions

Item Height
0.3 in
Item Weight
7.1 Oz
Item Length
8.9 in
Item Width
5.9 in

Additional Product Features

Edition Number
2
Intended Audience
Scholarly & Professional
LCCN
2005-042539
Dewey Edition
22
Reviews
'Anyone interested in building their own search engine, or looking for a compact and readable introduction to the field of modern information retrieval will find this book to be an excellent first introduction.' Tony Donaldson, MAA Reviews, 'This book gives a valuable, generally non-technical, insight into how search engines work, how to improve the users' success in Information Retrieval (IR), and an in-depth analysis of a mathematical algorithm for improving a search engine's performance. …Written in an informal style, the book is easy to read and is a good introduction on how search engines operate…' Christopher Dean, Mathematics Today, 'Anyone interested in building their own search engine, or looking for a compact and readable introduction to the field of modern information retrieval will find this book to be an excellent first introduction.'Tony Donaldson, MAA Reviews, ‘This book gives a valuable, generally non-technical, insight into how search engines work, how to improve the users' success in Information Retrieval (IR), and an in-depth analysis of a mathematical algorithm for improving a search engine's performance. …Written in an informal style, the book is easy to read and is a good introduction on how search engines operate…’Christopher Dean, Mathematics Today, ‘Berry and Browne describe most of what you need to know to design your own search engine. Their strength is the description of the solid mathematical underpinnings at a level that is understandable to competent engineering undergraduates, perhaps with a bit of instructor guidance. They discuss the algorithms used by most commercial search engines, so you may find your use of Google and its kind becomes more effective, too.’George Corliss, Marquette University., 'Berry and Browne describe most of what you need to know to design your own search engine. Their strength is the description of the solid mathematical underpinnings at a level that is understandable to competent engineering undergraduates, perhaps with a bit of instructor guidance. They discuss the algorithms used by most commercial search engines, so you may find your use of Google and its kind becomes more effective, too.'George Corliss, Marquette University., 'This book gives a valuable, generally non-technical, insight into how search engines work, how to improve the users' success in Information Retrieval (IR), and an in-depth analysis of a mathematical algorithm for improving a search engine's performance. ...Written in an informal style, the book is easy to read and is a good introduction on how search engines operate...' Christopher Dean, Mathematics Today, ‘Anyone interested in building their own search engine, or looking for a compact and readable introduction to the field of modern information retrieval will find this book to be an excellent first introduction.’Tony Donaldson, MAA Reviews, 'There is no other information retrieval/search book where the heart is the mathematical foundations. This book is greatly needed to further establish information retrieval as a serious academic, as well as practical and industrial, area.' Jaime Carbonell, Carnegie Mellon University, 'Berry and Browne describe most of what you need to know to design your own search engine. Their strength is the description of the solid mathematical underpinnings at a level that is understandable to competent engineering undergraduates, perhaps with a bit of instructor guidance. They discuss the algorithms used by most commercial search engines, so you may find your use of Google and its kind becomes more effective, too.' George Corliss, Marquette University., 'This book gives a valuable, generally non-technical, insight into how search engines work, how to improve the users' success in Information Retrieval (IR), and an in-depth analysis of a mathematical algorithm for improving a search engine's performance. ...Written in an informal style, the book is easy to read and is a good introduction on how search engines operate...'Christopher Dean, Mathematics Today, 'There is no other information retrieval/search book where the heart is the mathematical foundations. This book is greatly needed to further establish information retrieval as a serious academic, as well as practical and industrial, area.'Jaime Carbonell, Carnegie Mellon University, ‘There is no other information retrieval/search book where the heart is the mathematical foundations. This book is greatly needed to further establish information retrieval as a serious academic, as well as practical and industrial, area.’Jaime Carbonell, Carnegie Mellon University
Illustrated
Yes
Dewey Decimal
025.04
Table Of Content
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.
Edition Description
Revised edition,New Edition
Synopsis
The second edition of Understanding Search Engines 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., 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. Significant changes bring the text up to date on current information retrieval methods: for example the addition of a new chapter on link-structure algorithms used in search engines such as Google. The chapter on user interface has been rewritten to specifically focus on search engine usability. In addition the authors have added new recommendations for further reading and expanded the bibliography, and have updated and streamlined the index to make it more reader friendly., This second edition of 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.
LC Classification Number
TK5105.884.B47 2005

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