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 for introductory courses in information retrieval for advanced undergraduates and graduate students. Slides and additional exercises are available for lecturers.
"Sinopsis" puede pertenecer a otra edición de este libro.
'This is the first book that gives you a complete picture of the complications that arise in building a modern web-scale search engine. You'll learn about ranking SVMs, XML, DNS, and LSI. 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.' Peter Norvig, Director of Research, Google Inc.
'... this book sets a high standard ...' Natural Language Engineering
'Introduction to Information Retrieval is a comprehensive, authoritative, and well-written overview of the main topics in IR. The book offers a good balance of theory and practice, and is an excellent self-contained introductory text for those new to IR.' Computational Linguistics
'This book provides what Salton and Van Rijsbergen both failed to achieve ... Even more important, unlike some other books in IR, the authors appear to care about making the theory as accessible as possible to the reader, on occasion including short primers to certain topics or choosing to explain difficult concepts using simplified approaches. ... its coverage [is] excellent, the quality of writing high and I was surprised how much I learned from reading it. I think the online resources are impressive.' Natural Language Engineering
Christopher Manning is an Associate Professor of Computer Science and Linguistics at Stanford University. His research concentrates on probabilistic models of language and statistical natural language processing, information extraction, text understanding and text mining.
Dr Prabhakar Raghavan is Head of Yahoo! Research and a Consulting Professor of Computer Science at Stanford University.
Dr Hinrich Schütze resides as Chair of Theoretical Computational Linguistics at the Institute for Natural Language Processing, University of Stuttgart.
"Sobre este título" puede pertenecer a otra edición de este libro.
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
Hardcover. Condición: Very Good. Illustrated. Ship within 24hrs. Satisfaction 100% guaranteed. APO/FPO addresses supported. Nº de ref. del artículo: 0521865719-8-1
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Librería: HPB-Red, Dallas, TX, Estados Unidos de America
Hardcover. Condición: Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!. Nº de ref. del artículo: S_408901650
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Librería: Goodwill of Silicon Valley, SAN JOSE, CA, Estados Unidos de America
Condición: acceptable. Supports Goodwill of Silicon Valley job training programs. The cover and pages are in Acceptable condition! Any other included accessories are also in Acceptable condition showing use. Use can included some highlighting and writing, page and cover creases as well as other types visible wear such as cover tears discoloration, staining, marks, scuffs, etc. All pages intact. Nº de ref. del artículo: GWSVV.0521865719.A
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Librería: Irish Booksellers, Portland, ME, Estados Unidos de America
Condición: Good. SHIPS FROM USA. Used books have different signs of use and do not include supplemental materials such as CDs, Dvds, Access Codes, charts or any other extra material. All used books might have various degrees of writing, highliting and wear and tear and possibly be an ex-library with the usual stickers and stamps. Dust Jackets are not guaranteed and when still present, they will have various degrees of tear and damage. All images are Stock Photos, not of the actual item. book. Nº de ref. del artículo: 18-0521865719-G
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Librería: Bulrushed Books, Moscow, ID, Estados Unidos de America
Condición: Good. Good or better condition. Pages have scattered marks and notes, but completely legible, binding is good. Covers mostly clean, minor scuffing or stickers. Solid reading copies. Ships fast!. Nº de ref. del artículo: #214A-00010
Cantidad disponible: 10 disponibles
Librería: thebookforest.com, San Rafael, CA, Estados Unidos de America
hardcover. Condición: LikeNew. Text block firm and clean, binding unblemished, boards straight, without highlights or underlining. Without any discs, access codes or extra items. Well packaged and promptly shipped from California. Partnered with Friends of the Library since 2010. Nº de ref. del artículo: 1LAUHV002PF5
Cantidad disponible: 1 disponibles
Librería: Ergodebooks, Houston, TX, Estados Unidos de America
Hardcover. Condición: Good. Illustrated. Class-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, 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. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike. Nº de ref. del artículo: SONG0521865719
Cantidad disponible: 1 disponibles
Librería: 369 Bookstore _[~ 369 Pyramid Inc ~]_, Dover, DE, Estados Unidos de America
Hardcover. Condición: Good. Class-tested and coherent, this groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. Written from a computer science perspective by three leading experts in the field, 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. Although originally designed as the primary text for a graduate or advanced undergraduate course in information retrieval, the book will also create a buzz for researchers and professionals alike. Nº de ref. del artículo: AMPLE0521865719
Cantidad disponible: 1 disponibles
Librería: Book Deals, Tucson, AZ, Estados Unidos de America
Condición: Good. Good condition. This is the average used book, that has all pages or leaves present, but may include writing. Book may be ex-library with stamps and stickers. 2.25. Nº de ref. del artículo: 353-0521865719-gdd
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Librería: Moe's Books, Berkeley, CA, Estados Unidos de America
Hard cover. Condición: Very good. No jacket. Spine is slightly cracked. Cover is and edges are lightly worn. Fore edge shows slight foxing. Inside is clean and unmarked. Nº de ref. del artículo: 1142533
Cantidad disponible: 1 disponibles