I. C. Mogotsi, Christopher D. Manning, Prabhakar Raghavan, and Hinrich Schütze: Introduction to information retrieval, Information Retrieval. Manning, C.D., Raghavan, P. and Schutze, H. () Introduction to Information Retrieval. Cambridge University Press, Cambridge. Presentation on theme: “Manning, Raghavan, Schutze”— Presentation transcript: to B. Arms SIMS Baldi, Frasconi, Smyth Manning, Raghavan, Schutze.

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Would you like to tell us about a lower price? Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts.

It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science.

Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises with solutions for lecturers are also available through the book’s supporting website to help course instructors prepare their lectures. Read more Read less. Discover Prime Book Box for Kids.

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Text Data Management and Analysis: Machine Learning for Text. Editorial Reviews Review ‘This is the raaghavan book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. 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.

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 schtzf introductory courses in information retrieval for advanced undergraduates and graduate students.

Slides and additional exercises are available for lecturers. See all Editorial Reviews. Product details File Size: Up to 4 simultaneous devices, per publisher limits Publisher: July 7, Sold by: Share your thoughts with other customers. Write a customer review. Read reviews that mention information retrieval high level retrieval field search engine good book authors chapters introduction text chapter examples internet topics build data depth detailed pages research understanding.


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There was a problem filtering reviews right now. Please try again later. The company I was working for started using Elastic search which is built on top of Luceneso 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 etcscoring, evalution of information retrieval systems, feedback mechanisms, classifcations, manninv 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 schtae the page numbers don’t match exactly, so if you are taking a class and taghavan 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. Kindle Edition Verified Purchase. I have no desire to build an internet search engine, so I’m not the target audience.

Introduction to Information Retrieval

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 inI 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.

Introduction to Information Retrieval

Some of it is not relevant to corpus linguists result ranking for examplebut 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. 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 Researchand 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 clusteringbut 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 mxnning work in search or just have an interest in the field, it is a great read. Required reading for cs at Stanford.

This is the book that all other schools reference for their information retrieval courses. One person found this helpful. Much more than just an introduction in the vein of many famous introductory computer science text books. 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. Congratulations to the authors! I purchased this for a class, but it is a nice overview and beginning reference.

Very clean and written so that you can grasp the material if you take your time. Unlike other books, it doesn’t just throw manniing plethora of equations at you and leave you to fend for yourself.

Instead, it explains things from a high schtzw like what machine learning algorithm to use and when and in detail what each component of an equation does.

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