- Hardcover: 552 pages
- Publisher: Pearson; 1 edition (February 16, 2009)
- Language: English
- ISBN-10: 0136072240
- ISBN-13: 978-0136072249
- Product Dimensions: 7.4 x 1.3 x 9.2 inches
- Shipping Weight: 2.4 pounds
- Average Customer Review: 19 customer reviews
- Amazon Best Sellers Rank: #790,578 in Books (See Top 100 in Books)
Enter your mobile number or email address below and we'll send you a link to download the free Kindle App. Then you can start reading Kindle books on your smartphone, tablet, or computer - no Kindle device required.
To get the free app, enter your mobile phone number.
Search Engines: Information Retrieval in Practice 1st Edition
Use the Amazon App to scan ISBNs and compare prices.
Customers who bought this item also bought
Customers who viewed this item also viewed
From the Back Cover
KEY BENEFIT: Written by a leader in the field of information retrieval, this text provides the background and tools needed to evaluate, compare and modify search engines.KEY TOPICS: Coverage of the underlying IR and mathematical models reinforce key concepts. Numerous programming exercises make extensive use of Galago, a Java-based open source search engine.MARKET: A valuable tool for search engine and information retrieval professionals.
About the Author
W. Bruce Croft is a Distinguished Professor in the Department of Computer Science at the University of Massachusetts, Amherst, which he joined in 1979. In 1992, he became the Director of the Center for Intelligent Information Retrieval (CIIR), which combines basic research with technology transfer to a variety of government and industry partners. He has published more than 180 articles related to information retrieval. Dr. Croft was elected a Fellow of ACM in 1997, received the Research Award from the American Society for Information Science and Technology in 2000, and received the Gerard Salton Award from the ACM Special Interest Group in Information Retrieval (SIGIR) in 2003.
Donald Metzler is a Research Scientist in the Search and Computational Advertising group at Yahoo! Research in Santa Clara, CA. He obtained his Ph.D. from the University of Massachusetts in 2007. During his graduate studies he was awarded a Microsoft Live Labs Graduate Fellowship. His research interests include formal information retrieval models, web search, advertising, and machine learning.
Trevor Strohman is a software engineer in the Google search quality division. His Ph.D., from the University of Massachusetts Amherst, focused on high-performance text retrieval systems that are easily adaptable to fit specific retrieval applications. He has published papers and presented a tutorial at the top information retrieval conference, SIGIR. He is the creator of the Galago search engine, and the primary developer of the Indri search engine (www.lemurproject.org/indri). He has ten years of professional software development experience, including desktop, server, and web applications.
There was a problem filtering reviews right now. Please try again later.
The former part of the book is filled with very good idea and clues for the information retrieval, for example, the characteristic of word or text, rank, page | site revisits, rough search engine architecture.
But the latter part of the book is so~so~.
The equations are good but the book doesn't explains the derivations of them and it seems that the book almost just lists the summations of the the Page Rank or Word Rank up.
In short, Good, Interesting~!
The math is not too bad: statistics and baby calculus.
Great book, and in great condition. It's really likely new, it has maybe 3 or 4 pages that's a little bent, you can easily get rid of that. No missing pages, the cover is clean and has no scratches. The book itself is instructive and helpful, maybe the best one in Information Retrieval field.
Definitely 5 stars.