Introduction to Information Retrieval (Christopher D. Manning, et al)

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This is the first ebook that offers you an entire photo of the headaches arising from constructing a modern internet-scale search engine. you will learn about rating SVMs, XML, DNS, and LSI. you may discover the seedy underworld of unsolicited mail, cloaking, and doorway pages.

Coherent and up-to-date, this textbook for advanced undergraduate and starting graduate college students in up to datepupdated science covers all up to daters of the design and implementation of structures for collecting, indexing, and searching files; techniques for comparing systems; and an introduction to date using machine getting updated methods on text collections

Class-examined and coherent, this groundbreaking new textbook teaches net-era statistics retrieval, up-to-date internet search, and the associated regions of textual content category and textual content clustering from simple ideas. Written from an up-to-date technological know-how perspective through 3 prominent specialists within the discipline, it gives an up-to-date remedy of all up to dates the design and implementation of structures for amassing, indexing, and looking documents; strategies for evaluating systems; and an advent updated using gadget up to date know updated strategies on textual content collections.

All the critical ideas have explained the usage of examples and figures, making it perfect for introductory courses in records retrieval for advanced undergraduates and graduate students in laptop technological know-how. primarily based on feedback from enormous schoolroom experience, the book has been cautiously structured in a way to make teaching greater natural and powerful. despite the fact that first designed because it is the number one text for a graduate or advanced undergraduate direction in facts retrieval, the ebook may even create a buzz for researchers and specialists alike.

Ebook Details

About the Authors
  • Christopher Manning is a professor of computer technological know-how and Linguistics at Stanford University. His research concentrates on probabilistic fashions of language and statistical herbal language processing, statistics extraction, textual content know-how, and textual content mining.
  • Dr. Prabhakar Raghavan is Head of Yahoo! research and a Consulting Professor of computer technology at Stanford college.
  • Dr. Hinrich Schutze resides as Chair of Theoretical Computational Linguistics at the Institute for Natural Language Processing, college of Stuttgart.
Published Date / Year
1 edition (July 7, 2008), eBook (2009 Edition)
496 pages
eBook Format

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