Customer Reviews

Modern Information Retrieval

5 star:		(7)
4 star:		(2)
3 star:		(0)
2 star:		(1)
1 star:		(0)

 

 

A very good approach to IR from a computer science perspective. Well organized and easy to read although some chapter could be dry for a novice. Excellent cover of visualization techniques, digital libraries, and web searching from a conceptual point of view. The reference list is large enough (and up-to-date) to keep you busy reading more material for several weeks.

I used this book as a textbook in a course on information storage and retrieval that I took a few years back, and it is still my favorite book on the subject. It explains the concepts clearly yet has all of the necessary mathematical and algorithmic details needed to work with the subject matter.
Chapter one just acts as a guide to the rest of the book. The book is basically divided into four parts: text IR, human-computer interfacing for IR, multimedia IR, and applications of IR. The part on text IR is best for beginners trying to learn the overall subject of IR, and consists of chapters 2 through 9. Chapter 2 is a long and important chapter that introduces fundamental concepts in IR and lays foundations for later chapters. Models for "ranking" documents based on queries are presented, including the boolean, vector, probabilistic, and fuzzy models. Chapter 3 is far less technical than chapter 2 and focuses on evaluation of IR models. Chapter 4 is an introduction to query languages, which are necessary for the elegant presentation of complex queries. Chapter 5 deals with query operations, which is the transformation of queries from simple keywords into weighted sets of terms and also includes user feedback. As in previous chapters, there is quite a bit of mathematics involved. Chapter 6 is devoted to text languages such as HTML and SGML since the user might refer to the structure of a document in his/her query, and that structure must be defined somewhere. Chapter 7 is about operations on documents themselves for the purpose of simplifying them for quick search. Thus, it is important as a time saver to eliminate common words such as "the" and also to reduce words to their grammatical roots. The potentially large size of document collections requires special indexing techniques for efficient retrieval. This is the subject of Chapter 8. Query processing can be further accelerated by using the parallel and distributed IR techniques discussed in Chapter 9, which concludes the book's discussion of text IR.
Chapter 10 is a stand-alone chapter on HCI for IR that discusses the design of user interfaces that assist the user in forming a query and current approaches for visualization of large data sets.
Multimedia IR is discussed in chapters 11 and 12. Models and query languages for office and medical information systems are discussed in Chapter 11. Efficient indexing and searching of multimedia objects is discussed in Chapter 12.
The final three chapters of the book are about the applications of IR. There is a chapter each about searching the web, bibliographic systems, and digital libraries.
The chapter on text languages is starting to show its age, as are the chapters on IR applications at the end of the book. The chapters on algorithms, and particularly the algorithmic portions of the chapters on text IR cause this book to remain a worthwhile read. There is quite a bit of mathematics used in this book, and probability theory in particular. Thus, the reader should already be familiar with probability theory and the basics of pattern recognition to get the most from this book.

A fantastic, in depth, survey of all the issues surrounding IR, from algorithms to presentation of IR results. With one clear authorial voice, the authors present all the things you hope a survey book will- a structured, coherent and complete framework onto which you can append future learning; what common practice within commercial industry really is; a quantitative analysis of the relative effectiveness of each algorithm, including the methodolgy used to arrive at results; an in-depth and clear explanation of all major algorithms.

They also give fair warning when they are only covering the outline of subject matter (which is rare), and they give extensive footnotes for anyone who needs to go deeper. The writing is always clear; the auithors never engage in the type of handwaving that other authors use to get past material you have the impression they themselves don't fully grasp.

If you need to implement search for a database and don't know where to start or what might be involved, this is the book for you. If you need to implement the GUI for search results and are wondering what the state of the art is and what issues are involved, then this is the book for you. If you need a well-structured framework to help you understand how internet search engines work, then this is the book for you. If you want to press the research forward on any of these topics and you are not already fluent in the literature, then this is the book for you.

Includes a nice overview of different Information Retrieval techiques. The think I liked most is the uniformity of notation throughout the whole book, that let you compare different approaches withouth getting lost in myriads of mathematical symbols defined in different ways by different authors.
The authors also suggest you the most efficient and effective techniques, so that you can use this information to avoid implementing naive and inefficient solutions.

This is an excellent book for those interested in getting an overview of IR. The book summarizes all the important milestones of IR up to 1999 (There are 852 references in the bibliography!). The writing is concise yet eloquent. The authors try to cover as much ground as possible, providing a gold-mine of information comparing the pros and cons of the various types of implementation. However, I believe that due to the breadth of the techniques covered, some of the explanations for the algorithms were rather brief and not very illuminating. But no worries, there are ample references to point you back to the writings of the orignal authors so you can get right back on track.

I read this book a few years ago when I had to write a custom search engine for my client (Apache Lucene was at its inception then). This book greatly helped me in understanding the science and algorithms behind information retrieval, which eventually helped me finish the project with great success.

The book is a treasure trove of information for anyone interested in search technologies. The book is very well written and the concepts explained clearly without deluging the reader with complex science, while still maintaining its detail.

Is a very good introduction in Information Retrieval from a modern perspective.The book approaches the field in a rigorous and complete way from a computer-science perspective.

Modern Information Retrieval is a textbook for computer science undergraduate and graduate courses and a reference book for IR practitioners.

The book structure consists of a Preface, Acknowledgements, Biographies, fifteen chapters, Appendix, Glossary, References and Index. The first part of the book is authored or co-authored and addresses query and text operations, retrieval and indexing. The second part consists of special topics authored by leading researchers in their fields. This part focuses on architecture, multimedia IR, bibliographical systems and digital libraries.

The Glossary section of this book consists of 18 pages and defines important technical terms used in IR. The References section consists of 45 pages of significant IR work. The Index section consists of 13 pages, which enhances the book usability. Each chapter ends with a Trends and Research Issues and a Bibliographic Discussion section.

The best features of the book are its cohesive presentation and organization. The use of a common nomenclature and notation helps students and readers to assimilate key concepts and with "connecting the dots" across chapters. The text is reinforced by a mirrored Web site with several resources, errata page and teaching material. In Chapter 1, the authors even "go the extra mile" with teachers and suggest how chapters could be used with different undergraduate and graduate courses. All this makes the book a great educational resource for students and teachers.

This book is recommended for computer science courses at the undergraduate and graduate level. It is also recommended for technical libraries and as a primary reference for IR practitioners.

This book covers most of the basics but is far from being up to date in technology. The student would be better off looking at the TREC website and reading papers submitted by participants.

This book give you a very usable way in Information Retrieval. Before I read this book, my knowledge in IR was almost zero. But after I finished, I can do an IR project in my grad program. This book also give you a modern concept in IR that you can apply in a real-use. But it requires some knowledge in Computer Science way.

This book suits IT professionals, Computer Scientists, and students in both grad and undergrad.

I have spent several weeks to read this book.