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Introduction to Information Retrieval (Englisch) Gebundene Ausgabe – 7. Juli 2008

4.3 von 5 Sternen 3 Kundenrezensionen

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Produktbeschreibungen

Pressestimmen

'This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. You'll discover the seedy underworld of spam, cloaking, and doorway pages. You'll see how MapReduce and other approaches to parallelism allow us to go beyond megabytes and to efficiently manage petabytes.' Peter Norvig, Director of Research, Google Inc.

'… this book sets a high standard …' Natural Language Engineering

'Introduction to Information Retrieval is a comprehensive, authoritative, and well-written overview of the main topics in IR. The book offers a good balance of theory and practice, and is an excellent self-contained introductory text for those new to IR.' Computational Linguistics

'This book provides what Salton and Van Rijsbergen both failed to achieve … Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. … its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.' Natural Language Engineering

Über das Produkt

Class-tested and coherent, this textbook teaches information retrieval, including web search, text classification, and text clustering from basic concepts. Ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers.

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Format: Gebundene Ausgabe Verifizierter Kauf
Not for people unfamiliar to basic computing concepts. Would recommend for advanced undergrads and grad students, or people with equivalent levels of knowledge.
Won't find concrete implementation, but instead a collection of ideas to form a good basis for creating canonical systems and allowing further understanding of advanced texts once these fundamentals have been understood.

Would recommend to the target audience.

Star deducted for partially lacking binding despite hardback.
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Format: Gebundene Ausgabe Verifizierter Kauf
In the last year I was reading disparate articles and chapters regarding search engines and NLU, but I needed an overview of all the possibilities available right now. This books gives that overview and is the best starting point. Don't expect to find out code, or even full algorithm but more like a compendium of tools for the right job. Later this is very usefull, because you can easily recognize the problem and you automatically know what you should use to handle it.
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Format: Kindle Edition Verifizierter Kauf
I guess it is essential information for a computer scientist to understand how unstructured information can be and is retrieved. This book covers the introductory essentials and is well written. Only four stars because the learning curve is a bit slow for my taste but this is very subjective. Great read and most probably best on IR on the market.
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Amazon.com: 4.4 von 5 Sternen 26 Rezensionen
13 von 13 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Nice Introduction Text 6. April 2012
Von Siddhardha - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
The company I was working for started using Elastic search (which is built on top of Lucene), so I had to dive into details of Lucene pretty deeply. Since I had no prior background in Information Retrieval field, I decided to learn the theory first and picked up this book for that purpose. This book is a nice introductory text on Information Retrieval covering a lot of ground from index construction including posting lists, tolerant retrieval, different types of queries (boolean, phrase etc), scoring, evalution of information retrieval systems, feedback mechanisms, classifcations, clustering and crawling. Overall I liked the authors presentation style in this book. The concepts are presented very clearly for the most part. With the exception of a few chapters, it's not too math heavy, so it's suited for a wider audience from that perpsective. Web crawling chapters although small are really good. This book is written such that each chapter can be covered in one lecture, so it's nice from instructor's stand point as well. This book is the text used in some schools for Information Retrieval class. You actually don't have to buy this book since it's available online for free (although the page numbers don't match exactly, so if you are taking a class and instructor refers to a certain page, it could be a different page number on the online version). I only skipped a few chapters (Chapter 18 Latent Semantic Indexing for example) but otherwise read the book from cover to cover. It took me two months to read this book but it was well worth it. When I was done, I felt like I had a good understanding of foundations of Information Retrieval field. Since then I looked into Lucene details (using Lucene in Action) and it not only made a lot more sense but actually more enjoyable. Highly recommended without any reservation.
12 von 12 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen Good for corpus linguists too 26. September 2010
Von K. Parent - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
I have no desire to build an internet search engine, so I'm not the target audience. However, I do work with large corpora, some of which are unindexed. When one search I programmed (in R) took 14 hours to complete (this after one attempt produced unusable results due to a bug and another crashed twelve hours in due to the power saver mode kicking in), I knew I had to find a better way.

I knew from the free sample that this book was what I was looking for. Thinking this would be a completely a new field to me, I was surprised how much I already knew. Some of it is not relevant to corpus linguists (result ranking for example), but if you're a corpus linguist and want to build an index for your corpus, I doubt you'll find a better book than this.

And the Kindle edition is done well, which is not always the case. Websites are hyperlinked and you can jump to the next or previous section with the 5-way controller.
17 von 17 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen My new favorite book on search 6. Februar 2009
Von Amazon Customer - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
Managing Gigabytes used to be my favorite book on search, but it is getting quite dated as this point. This new book is by three search gurus, Chris Manning, Prabhakar Raghavan (head of Yahoo Research), and Hinrich Schutze, and the depth of their expertise shows.

This book not only describes how to build a search engine (including crawling, indexing, ranking, classification, and clustering), but also has many of the insights you can only get from lengthy experience using these techniques at large scale.

Definitely my new favorite book on search. If you work in search or just have an interest in the field, it is a great read.
5.0 von 5 Sternen Excellent. ("Introduction" should be treated as tongue in cheek ... 4. Dezember 2016
Von RoMc - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
Required reading for cs276 at Stanford. This is the book that all other schools reference for their information retrieval courses. Excellent. ("Introduction" should be treated as tongue in cheek for those not familiar with the field, on the contrary, the book is dense and very thorough)
5 von 5 Kunden fanden die folgende Rezension hilfreich
5.0 von 5 Sternen An excelent buy 3. September 2008
Von Andrés Moreira - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe Verifizierter Kauf
This is my first book about information retrieval, and I think that is perfect! The book cover all the modern topics in the information retrieval field. It's very clear and really simple to understand.
Great book!
Congratulations to the authors!
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