Introduction to Information Retrieval 1st Edition by Christopher D. Manning (PDF)

Description

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.

User’s Reviews

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐To understand the brains behind Semantic Web, and Google’s today, the book carries a fundamental importance.

⭐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.

⭐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.

⭐The product was not used at all and highly recommend people buying a used textbook so it cheaper.

⭐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.

⭐I would steer clear of the first edition of this book. It is riddled with errors and inconsistencies (despite the few errata listed on the book’s site), the authors chose a terrible style for the pseudocode examples that is at best confusing and at worst unreadable… it’s just not a good book in its current form. I would not recommend it to anyone. A reader curious about information retrieval would be much better served to read one of the many survey papers that are available from information retrieval journals and conferences. The book has potential, so perhaps future editions will be more useful.

⭐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)

⭐Very clean and written so that you can grasp the material if you take your time. Unlike other books, it doesn’t just throw a plethora of equations at you and leave you to fend for yourself. Instead, it explains things from a high level (like what machine learning algorithm to use and when) and in detail (what each component of an equation does).

⭐Absolutely essential!

⭐The book is good, but had some troubles communicating with the seller

⭐Purchased it from BITS M.Tech. Information Retrieval course.The contents presentation flow is good, but the algorithm pesudo codes are terrible.The worked out examples keeps on assuming lot many things and finally comes up to an answer.The paper quality is not great but manageable. The font is kinda boring and at times distracts interest in reading.

⭐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.

⭐Am on chapter 2 and have not seen any print errors so far. The contents of the book are amazing and the author explains the concepts very well.

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