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Modern Information Retrieval | 
 enlarge | Authors: Ricardo Baeza-yates, Berthier Ribeiro-neto
Publisher: Addison Wesley
Category: Book
Buy New: $84.97
New (11) Used (4) from $45.97
Avg. Customer Rating:  9 reviews
Sales Rank: 192598
Media: Paperback
Edition: 1st
Number Of Items: 1
Pages: 544
Shipping Weight (lbs): 1.8
Dimensions (in): 9.2 x 6.7 x 1.1
ISBN: 020139829X
Dewey Decimal Number: 025.04
EAN: 9780201398298
ASIN: 020139829X
Publication Date: May 15, 1999
Availability: Usually ships in 1-2 business days
Shipping: Expedited shipping available
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Condition: Brand new in excellent condition. Ready to ship. Receive within 4 days. Satisfaction guaranteed. International delivery within 7 days.
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| Editorial Reviews:
Product Description
Discusses the changes in modern information retrieval and the provision of relevant information with minimal noise. Softcover. DLC: Information storage and retrieval systems.
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| Customer Reviews: Read 4 more reviews...
 Good book January 18, 2007
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.
 Ok for basics March 23, 2006
3 out of 7 found this review helpful
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.
Excellent as a textbook and a practical guide March 17, 2006
10 out of 10 found this review helpful
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.
Excellent research source October 24, 2005
2 out of 3 found this review helpful
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.
Great textbook for computer science undergraduate and graduate courses and reference for IR practitioners September 5, 2005
3 out of 5 found this review helpful
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.
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