Introduction to Information Retrieval (Record no. 3986)

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fixed length control field 06349cam a2200253 a 4500
003 - CONTROL NUMBER IDENTIFIER
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005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230412104625.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781107666399 (pb)
040 ## - CATALOGING SOURCE
Transcribing agency CUS
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 025.04
Item number MAN/I
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Manning, Christopher D.
9 (RLIN) 18895
245 10 - TITLE STATEMENT
Title Introduction to Information Retrieval
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2008.
300 ## - PHYSICAL DESCRIPTION
Extent xxi, 482 p. :
Other physical details ill. ;
Dimensions 27 cm.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1 Boolean retrieval 1<br/>1.1 An example information retrieval problem 3<br/>1.2 A first take at building an inverted index 6<br/>1.3 Processing Boolean queries 9<br/>1.4 The extended Boolean model versus ranked retrieval 13<br/>1.5 References and further reading 16<br/>2 The term vocabulary and postings lists 18<br/>2.1 Document delineation and character sequence decoding 18<br/>2.2 Determining the vocabulary of terms 21<br/>2.3 Faster postings list intersection via skip pointers 33<br/>2.4 Positional postings and phrase queries 36<br/>2.5 References and further reading 43<br/>3 Dictionaries and tolerant retrieval 45<br/>3.1 Search structures for dictionaries 45<br/>3.2 Wildcard queries 48<br/>3.3 Spelling correction 52<br/>3.4 Phonetic correction 58<br/>3.5 References and further reading , 59<br/>4 Index construction 61<br/>4.1 Hardware basics 62<br/>4.2 Blocked sort-based indexing 63<br/>4.3 Single-pass in-memory indexing 66.<br/>4.4 Distributed indexing 68<br/>4.5 Djmamic indexing 71<br/>4.6 Other types of indexes<br/>4.7 References and further reading 76<br/>5 Index compression 78<br/>5.1 Statistical properties of terms in information retrieval 79<br/>5.2 Dictionary compression 82<br/>5.3 Postings file compression 87<br/>5.4 References and further reading ^7<br/>6 Scoring, term weighting, and the vector space model 100<br/>6.1 Parametric and zone indexes 101<br/>6.2 Term frequency and weighting 107<br/>6.3 The vector space model for scoring HO<br/>6.4 Variant tf-idf functions 118<br/>6.5 References and further reading 122<br/>7 Computing scores in a complete search system 124<br/>7.1 Efficient scoring and ranking 124<br/>7.2 Components of an information retrieval system 132<br/>7.3 Vector space scoring and query operator interaction 136<br/>7.4 References and further reading 137<br/>8 Evaluation in information retrieval 139<br/>8.1 Information retrieval system evaluation 140<br/>8.2 Standard test collections 141<br/>8.3 Evaluation of unranked retrieval sets 142<br/>8.4 Evaluation of ranked retrieval results 145<br/>8.5 Assessing relevance 1^1<br/>8.6 A broader perspective: System quality and user<br/>utility<br/>8.7 Results snippets<br/>8.8 References and further reading 139<br/>9 Relevance feedback and query expansion 182<br/>9.1 Relevance feedback and pseudo relevance<br/>feedback<br/>9.2 Globed methods for query reformulation 173<br/>9.3 References arid further reading 177<br/>10 XML retrieval 178<br/>10.1 Basic XML concepts 180<br/>10.2 Challenges in XML retrieval 183<br/>10.3 A vector space model for XML retrieval 188<br/>10.4 Evaluation of XML retrieval 192<br/>154<br/>157<br/>10.5 Text-centric versus data-centric XML retrieval 196<br/>10.6 References and further reading 198<br/>U Probabilistic information retrieval 201<br/>11.1 Review of basic probability theory 202<br/>11.2 The probability ranking principle 203<br/>11.3 The binary independence model 204<br/>11.4 An appraisal and some extensions 212<br/>11.5 References and further reading 216<br/>12 Language models for information retrieval 218<br/>12.1 Language models 218<br/>12.2 The query likelihood model 223<br/>12.3 Language modeling versus other approaches<br/>in information retrieval 229<br/>12.4 Extended language modeling approaches 230<br/>12.5 References and further reading 232<br/>13 Text classification and Naive Bayes 234<br/>13.1 The text classification problem 237<br/>13.2 Naive Bayes text classification 238<br/>13.3 The Bernoulli model 243<br/>13.4 Properties of Naive Bayes 245<br/>13.5 Feature selection 251<br/>13.6 Evaluation of text classification 258<br/>13.7 References and further reading 264<br/>14 Vector space classification 266<br/>14.1 Ctocument representations and measiues of relatedness<br/>in vector spaces 267<br/>14.2 Rocchio classification 269<br/>14.3 k nearest neighbor 273<br/>14.4 linear versus nonlinear classifiers 277<br/>14.5 Classification with more than two classes 281<br/>14.6 The bias-variance tradeoff 284<br/>14.7 References and further reading 291<br/>15 Support vector machines and machine learning on documents 293<br/>15.1 Support vector machines: The linearly separable case 294<br/>15.2 Extensions to the support vector machine model 300<br/>15.3 Issues in the classification of text documents 307<br/>15.4 Machine-learning methods in ad hoc information retrieval 314<br/>15.5 References and further reading 318<br/>16 Flat clustering 321<br/>16.1 Clustering in information retrieval 322<br/>16.2 Problem statement 326<br/>16.3 Evaluation of clustering 327<br/>16.4 fC-means 331<br/>16.5 Model-based clustering 338<br/>16.6 References and further reading 343<br/>17 Hierarchical clustering ■ 346<br/>17.1 Hierarchical agglomerative clustering 347<br/>17.2 Single-link and complete-link clustering 350<br/>17.3 Group-average agglomerative clustering 356<br/>17.4 Centroid clustering 358<br/>17.5 Optimality of hierarchical agglomerative<br/>clustering 360<br/>17.6 Divisive clustering 362<br/>17.7 Cluster labeling 363<br/>17.8 Implementation notes 365<br/>17.9 References and further reading 367<br/>18 Matrix decompositions and latent semantic indexing 369<br/>18.1 Linear algebra review 369<br/>18.2 Term-document matrices and singular value<br/>decompositions 373<br/>18.3 Low-rank approximations 376<br/>18.4 Latent semantic indexing 378<br/>18.5 References and further reading 383<br/>19 Web search basics 385<br/>19.1 Backgroxmd and history 385<br/>19.2 Web characteristics 387<br/>19.3 Advertising as the economic model 392<br/>19.4 The search user experience 395<br/>19.5 Index size and estimation 396<br/>19.6 Near-duplicates and shingling 400<br/>19.7 References and further reading 404<br/>20 Web crawling and indexes 405<br/>20.1 Overview 405<br/>20.2 Crawling 406<br/>20.3 Distributing indexes 415<br/>20.4 Connectivity servers 41b<br/>20.5 References and further reading 41<br/>21 Link analysis 421<br/>21.1 The Web as a graph 422<br/>21.2 PageRank 424<br/>21.3 Hubs and authorities 433<br/>21.4 References and futher reading 439
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Text processing (Computer science)
9 (RLIN) 18905
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Information retrieval.
9 (RLIN) 12704
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Document clustering.
9 (RLIN) 18906
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Semantic Web.
9 (RLIN) 18907
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 18902
Personal name Raghava, Prabhakar
700 ## - ADDED ENTRY--PERSONAL NAME
9 (RLIN) 18904
Personal name Schütze, Hinrich
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type GN Books
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        Central Library, Sikkim University Central Library, Sikkim University General Book Section 30/06/2016 1 025.04 P36881 06/09/2018 06/09/2018 30/06/2016 General Books
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