2010, ISBN: 9787115218247

paperback. New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2010 Pages: 482 Language: English Publisher: … Mehr…

paperback. New. Ship out in 2 business day, And Fast shipping, Free Tracking number will be provided after the shipment.Paperback. Pub Date: 2010 Pages: 482 Language: English Publisher: People's Posts and Telecommunications Press Introduction to Information Retrieval (English) information retrieval teaching materials designed to provide computer science from the perspective of a modern information retrieval method. Book from basic concepts to explain web search and text classification and text clustering. machine learning methods to collect. index. and search the document system design and implementation of all aspects of the assessment system. the text collection given The latest explanation. Book all important ideas are explained. illustrated with examples. Introduction to Information Retrieval (English) is ideal for senior undergraduate and graduate students in computer science and related professional information retrieval course introductory textbook. of course. also suitable for researchers and professionals to read. Contents: 1 Boolean retrieval 11.1 An example information retrieval problem 31.2 A first take at building an inverted index 61.3 Processing Boolean queries 91.4 The extended Boolean model versus ranked retrieval 131.5 References and further reading 162 The term vocabulary and postings lists 182.1 Document delineation and character sequence decoding 182.2 Determining the vocabulary of terms 212.3 Faster postings list intersection via skip pointers 332.4 Positional postings and phrase queries 362.5 References and further reading 433 Dictionaries and tolerant retrieval 453.1 Search structures for dictionaries 453.2 Wildcard queries 483.3 Spelling correction 523.4 Phonetic correction 583.5 References and further reading 594 Index construction 614.1 Hardware basics 624.2 Blocked sort-based indexing 634.3 Single-pass in-memory indexing 664.4 Distributed indexing 684.5 Dynamic indexing 714.6 Other types of indexes 734.7 References and further reading 765 Index compression 785.1 Statistical properties of terms in information retrieval 795.2 Dictionary compression 825.3 Postings file compression 875.4 References and further reading 976 Scoring. term weighting. and the vector space model 1006.1 Parametric and zone indexes 1016.2 Term frequency and weighting 1076.3 The vector space model for scoring 1106.4 Variant tf-idf functions 1166.5 References and further reading 1227 Computing scores in a complete search system 1247.1 Efficient scoring and ranking 1247.2 Components of an information retrieval system 1327.3 Vector space scoring and query operator interaction 1367.4 References and further reading 1378 Evaluation in information retrieval 1398.1 Information retrieval system evaluation 1408.2 Standard test collections 1418.3 Evaluation of unranked retrieval sets 1428.4 Evaluation of ranked retrieval results 1458.5 Assessing relevance 1518.6 A oader perspective: System quality and user utility 1548.7 Results snippets 1578.8 References and further reading 1599 Relevance feedback and query expansion 1629.1 Relevance feedback and pseudo relevance feedback 1639.2 Global methods for query reformulation 1739.3 References and further reading 17710 XML retrieval 17810.1 Basic XML concepts 18010.2 Challenges in XML retrieval 18310.3 A vector space model for XML retrieval 18810.4 Evaluation of XML retrieval 19210.5 Text-centric versus data-centric XML retrieval 19610.6 References and further reading 19811 Probabilistic information retrieval 20111.1 Review of basic probability theory 20211.2 The probability ranking principle 20311.3 The binary independence model 20411.4 An appraisal and some extensions 21211.5 References and further reading 21612 Language models for information retrieval 21812.1 Language models 21812.2 The query likelihood model 22312.3 Language modeling versus other approaches in information retrieval 22912.4 Extended language modeling approaches 23012.5 References and further reading 23213 Text classification and Naive Bayes 23413.1 The text classification problem 23713.2 Naive Bayes text classification 23813.3 The Bernoulli model 24313.4 Properties of Naive Bayes 24513.5 Feature selection 25113.6 Evaluation of text classification 25813.7 References and further reading 26414 Vector space classification 26614.1 Document representations and measures of relatedness in vector spaces 26714.2 Rocchio classification 26914.3 k nearest neighbor 27314.4 Linear versus nonlinear classifiers 27714.5 Classification with more than two classes 28114.6 The bias-variance tradeoff 28414.7 References and further reading 29115 Support vector machines and machine learning on documents 29315.1 Support vector machines: The linearly separable case 29415.2 Extensions to the support vector machine model 30015.3 Issues in the classification of text documents 30715.4 Machine-learning methods in ad hoc information retrieval 31415.5 References and further reading 31816 Flat clustering 32116.1 Clustering in information retrieval 32216.2 Problem statement 32616.3 Evaluation of clustering 32716.4 K-means 33116.5 Model-based clustering 33816.6 References and further reading 34317 Hierarchical clustering 34617.1 Hierarchical agglomerative clustering 34717.2 Single-link and complete-link clustering 35017.3 Group-average agglomerative clustering 35617.4 Centroid clustering 35817.5 Optimality of hierarchical agglomerative clustering 36017.6 Divisive clustering 36217.7 Cluster labeling 36317.8 Implementation notes 36517.9 References and further reading 36718 Matrix decompositions and latent semantic indexing 36918.1 Linear algea review 36918.2 Term-document matrices and singular valuede compositions 37318.3 Low-rank approximations 37618.4 Latent semantic indexing 37818.5 References and further reading 38319 Web search basics 38519.1 Background and history 38519.2 Web characteristics 38719.3 Advertising as the economic model 39219.4 The search user experience 39519.5 Index size and estimation 39619.6 Near-duplicates and shingling 40019.7 References and further reading 40420 Web crawling and indexes 40520.1 Overview 40520.2 Crawling 40620.3 Distributing indexes 41520.4 Connectivity servers 41621 Link analysis 42121.1 TheWeb as a graph 42221.2 PageRank 42421.3 Hubs and authorities 43321.4 References and further reading 439Inde 469Bibliography 441 Satisfaction guaranteed,or money back.<