000			02882nam a22003377a 4500
999			_c50808 _d50808
005			20190916155724.0
008			190227b xxu||||| |||| 00| 0 eng d
020			_a9781107666399
028			_a:Shankar Books Agency Pvt. Ltd _b:103, Munish Plaza 20 Ansari road Darya Ganj New Delhi _c:IN24510/-18-19 _d:20/02/2019
028			_a:Variety Books Publishers & Distributors _b:B-10 Street No 2 West Vinod Nagar Delhi 110092 _c:IM2557 _d:23/08/2019
082			_a025.04 MAN
100			_a Manning, Christopher D
245			_aIntroduction to Information Retrieval _c/ Christopher D Manning
260			_aNew Delhi _b: Cambridge University Press, _c2018
300			_axxi, 482p. _c24cm.
365			_b750
505			_aBoolean retrieval -- The term vocabulary and postings lists -- Dictionaries and tolerant retrieval -- Index construction -- Index compression -- Scoring, term weighting, and the vector space model -- Computing scores in a complete search system -- Evaluation in information retrieval -- Relevance feedback and query expansion -- XML retrieval -- Probabilistic information retrieval -- Language models for information retrieval -- Text classification and Naive Bayes -- Vector space classification -- Support vector machines and machine learning on documents -- Flat clustering -- Hierarchical clustering -- Matrix decompositions and latent semantic indexing -- Web search basics -- Web crawling and indexes -- Link analysis.
520			_aClass-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. 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. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures."--Publisher's description
650			_aComputer science
650			_aLibrary operations
650			_aInformation retrieval.
650			_aInformation retrieval.
650			_aDocument clustering.
650			_aSemantisches Netz.
650			_aSemantic Web.
655			_aProcessing
700			_a Manning, Christopher D
700			_a Raghavan, Prabhakar
700			_a Schütze, Hinrich
942			_cBOOK