This is a great book.
I own over 100 books on search and related topics. This is a wonderful little book—it’s very different from the others. Can you build a search engine with just this book? Maybe, maybe not. But does this book cover things differently than the other literature, often times more clearly? You bet.
I’ve been building and selling a commercial search engine for the last two years—I wish I had had this book when I started!
(Some reviewers mentioned the price—it is expensive as I write this—I bought my copy used for a lot less.)
¥9,344¥9,344 税込
ポイント: 93pt
(1%)
配送料 ¥80 6月21日-7月1日にお届け
発送元: Ninetyninebooks 販売者: Ninetyninebooks
¥9,344¥9,344 税込
ポイント: 93pt
(1%)
配送料 ¥80 6月21日-7月1日にお届け
発送元: Ninetyninebooks
販売者: Ninetyninebooks
¥4,362¥4,362 税込
ポイント: 44pt
(1%)
配送料 ¥495 6月14日-25日にお届け
発送元: ハウス オブ トレジャー 販売者: ハウス オブ トレジャー
¥4,362¥4,362 税込
ポイント: 44pt
(1%)
配送料 ¥495 6月14日-25日にお届け
発送元: ハウス オブ トレジャー
販売者: ハウス オブ トレジャー
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Understanding Search Engines: Mathematical Modeling and Text Retrieval (Software, Environments and Tools, Series Number 17) ペーパーバック – 2005/5/1
英語版
Michael W. Berry
(著),
Murray Browne
(著)
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購入オプションとあわせ買い
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.
- 本の長さ184ページ
- 言語英語
- 出版社Society for Industrial and Applied Mathematics
- 発売日2005/5/1
- 寸法14.61 x 0.64 x 22.23 cm
- ISBN-100898715814
- ISBN-13978-0898715811
商品の説明
レビュー
'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
'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
'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
著者について
Michael W. Berry is a Professor and Interim Department Head in the Department of Computer Science at the University of Tennessee and a faculty member in the Graduate School in Genome Science & Technology Program at the University of Tennessee and Oak Ridge National Laboratory. His current research interests include information retrieval, data mining, scientific computing, computational science, numerical linear algebra, and parallel computation.Murray Browne is a Research Associate in the Computer Science Department at the University of Tennessee. He is a member of the American Society for Information Science and Technology and has published numerous essays, book reviews, newspaper articles, and feature stories.
登録情報
- 出版社 : Society for Industrial and Applied Mathematics; 第2版 (2005/5/1)
- 発売日 : 2005/5/1
- 言語 : 英語
- ペーパーバック : 184ページ
- ISBN-10 : 0898715814
- ISBN-13 : 978-0898715811
- 寸法 : 14.61 x 0.64 x 22.23 cm
- カスタマーレビュー:
著者について
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カスタマーレビュー
星5つ中4.6つ
5つのうち4.6つ
2グローバルレーティング
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全体的な星の評価と星ごとの割合の内訳を計算するために、単純な平均は使用されません。その代わり、レビューの日時がどれだけ新しいかや、レビューアーがAmazonで商品を購入したかどうかなどが考慮されます。また、レビューを分析して信頼性が検証されます。
他の国からのトップレビュー
Mitch Haile
5つ星のうち5.0
Great book; different than the others
2017年12月9日にアメリカ合衆国でレビュー済みAmazonで購入
Geraldo XEXEO
5つ星のうち4.0
Good Introduction
2007年5月7日にアメリカ合衆国でレビュー済みAmazonで購入
There are better books in the market, and even the author would be the first to recognize it. However, this book is one of the most clear and readable introduction to the subject that you can find.
The author fully acomplishes the objective: teach his reader, at undergratuate level, how search engines work. Even some difficult subject, such as LSI, are treated at a level one can easilly understand.
One of the most important characteristics of the book is that it does math. Every formula has an example, usually using small matrix that allow the reader to easilly follow them.
The book is suitable for an objective introduction to the field. It is not very "academic", in the sense it is rather informal. If it is not a textbook, it could help some bewildered student to grasp the inner workings. It could also help a teacher to find clearer ways for explanations and good examples for classroom.
The author fully acomplishes the objective: teach his reader, at undergratuate level, how search engines work. Even some difficult subject, such as LSI, are treated at a level one can easilly understand.
One of the most important characteristics of the book is that it does math. Every formula has an example, usually using small matrix that allow the reader to easilly follow them.
The book is suitable for an objective introduction to the field. It is not very "academic", in the sense it is rather informal. If it is not a textbook, it could help some bewildered student to grasp the inner workings. It could also help a teacher to find clearer ways for explanations and good examples for classroom.