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Understanding Search Engines: Mathematical Modeling and Text Retrieval [Software
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- Artikelzustand
- ISBN
- 9780898715811
Über dieses Produkt
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
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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goodwillvsb
99,6% positive Bewertungen•204 Tsd. Artikel verkauft
Angemeldet als gewerblicher Verkäufer
Verkäuferbewertungen (63'595)
- s***c (411)- Bewertung vom Käufer.Letzter MonatBestätigter KaufCould not be happier with this purchase. Always concerned about shipping electronics or anything fragile but this was perfect. Extremely well packaged, fast shipping (although FedEx had a minor 1 day delay), shipping price and communication was exceptional. Would definitely purchase anything from this seller, thank you so much !!
- i***4 (4)- Bewertung vom Käufer.Letzter MonatBestätigter KaufShipping was fine, value was there for a loose cart of a 3 year old game, and it was in the box as described. But the packaging was terrible, just wrapped in a see through bag with a bit of padding? No paper envelope or nothing around this cartridge even though it’s about the size of an SD-card is insane to me. Other than that good purchase.
- a***m (103)- Bewertung vom Käufer.Letzte 6 MonateBestätigter KaufIn my 25 years of audio purchases, I have NEVER seen such quality packaging. Grills removed, surrounded by wrap and boxed separately, drivers covered with cardboard and gaffer tape, speaker corners protected with styrofoam. ASTOUNDING job to ensure I received my fairly priced item as described. I was truly impressed, so much that I'll follow their sales from now on. It is SO VERY RARE to get items shipped properly. Hats off to this seller. Sincerely, one happy customer.