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Clarke C.L.A., Cormack G.V. — Information Retrieval: Implementing and Evaluating Search Engines
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Название: Information Retrieval: Implementing and Evaluating Search EnginesАвторы: Clarke C.L.A., Cormack G.V. Аннотация: Information retrieval is the foundation for modern search engines. This textbook offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects. Wumpus, a multi-user open-source information retrieval system developed by one of the authors and available online, provides model implementations and a basis for student work.
Язык: Рубрика: Технология /Статус предметного указателя: Готов указатель с номерами страниц ed2k: ed2k stats Год издания: 2010Количество страниц: 632Добавлена в каталог: 18.06.2014Операции: Положить на полку |
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48 48 48 34 34 48 51 271 459 193—194 209 191 193 209 214 233—235 239 236—237 240—242 249 160 169 229 243 229 233 194—195 48 64 64 49 33 49 33 397—399 abandonment 540 Abstract data type 33 48 160 577 Accumulator 145 493 Accumulator pruning 147—151 493 Accuracy 322 335 Active learning 337 Active Server Pages 510 Adaptive algorithm 38 62 65 304 Adaptive coding 177 Adaptive compression 190 AdaRank-MAP 399 Adhoc task 24 ADT see "Abstract data type" Advanced search 160 Adversarial IR 507 Alternative hypothesis 427 Anchor text 277 507 513 536—537 555 Antony and Cleopatra 14 AOL query log 480 Apache 27 Arabic 98 Arithmetic coding 186—189 189 223 Arithmetic mean 44 68 409 ASCII 13 91 ASP 510 Assessment 8 67 73 411 441—446 Average precision 71 408 Average response time 75 B-tree 113 Background language model 290 Backlinks 534 Bag of words 60 145 151 158 Bagging 376 385—387 Basque 94 batch updates 229—231 Bayes' rule see "Bayes' Theorem" Bayes' theorem 260 333 Bengali 97 Bernoulli trials 418 Bias 413 Bigram 19 96 115 Binary document format 11 Binary Independence Model 261—263 Binary interval 187 Binary search 39 107 111 133 217 220 Binomial distribution 418 491 Bit buffering 208 Blind feedback see "Pseudo-relevance feedback" Blocking 186 216 Bloom filter 131 BM1 273 BM11 273 BM15 273 BM25 73 138—139 258 272 296 301 312 354 BM25F 258 277—279 539 body 193 Bonferroni correction 428 Bookstein, Abraham 267 Boolean retrieval 52 63—66 137 573 Boosting 376 387—388 Bootstrap 424 Bootstrap aggregation 386 Bosak, Jon 11 29 Bose — Einstein statistics 300 Bpref 461 Branch prediction 199 208 595 Bray, Tim 169 Browser extensions 526 Buckley, Chris 71 Burrows — Wheeler compression 191 Burst trie 133 Byte-aligned coding 205—206 bzip2 191 Cache 41 479—484 544 Cache hierarchy 481 Cache line 594 Cache policy 482—483 Candidate phrase 39 Candidate solution 63 Carnegie Mellon University 27 Case normalization 84 Categorization 4 310 320 376 Central limit theorem 431 439 CGI 510 Chaining 107 121 122 Chinese 95—96 98 CJK languages 95—96 Classification 312 331—366 Classification, binary 331 Classification, decision trees 360 364—366 Classification, feature engineering 338—339 Classification, kernel methods 357 Classification, linear classifier 349—353 Classification, multicategory 388—394 Classification, perceptron algorithm 352 Classification, probabilistic 339—349 Classification, Rocchio's method 354 Classification, SVM 353 Clef 98 Cleverdon, Cyril 460 Clickthrough curve 540 Clickthrough inversion 540 ClueWeb09 collection 25 Clustering 4 215 224 337 Code 177 Code tree 179 181 183 Codepomt (Unicode) 91 95 97 Combiner 502 Common Gateway Interface 510 Compression model 19 177—180 188—190 196 202 361—363 Confidence interval 416—426 432 470 Confidence level 416 Contingency table 332 Continuation flag 205 Cosine similarity 56 72 CPU cache 109 124 594 Cranfield paradigm 460 Cranfield tests 460 Crawler trap 557 Cross-entropy 361 373 Cross-validation 384—385 399 Cutting, Doug 27 504 Cutts, Matt 553 Damping factor (PageRank) 518 DDS see "Deadline-driven scheduling" De Morgan's laws 65 Deadline-driven scheduling 478 Decision tree 360 364—366 DECO algorithm 539 Decoder 175 Decoding performance 204—209 223 Decompounding 94 98 Deep Web 511 Degrees of freedom 423 Delta code see " Density function see "Probability density function" Desktop search 3 251 DFR see "Divergence from randomness" DICTIONARY 33 106—110 Dictionary compression 216—222 Dictionary group 217 Dictionary interleaving 114—118 221—222 Dictionary operations 106 Dictionary, hash-based 107 Dictionary, sort-based 107 Dictionary-as-a-string approach 108 diff 252 Digital library 4 Dijkstra, Edsger 86 Dimensionality reduction 338 356 Dirichlet smoothing 291 295 Disk seek 111 145 233 238 493 distribution 417 Distribution, binomial 418 491 Distribution, empirical 419 Distribution, exponential 473 Distribution, Gaussian 417 Distribution, geometric 192 196 210 Distribution, normal 417 Distribution, Poisson 267—268 473 548 Distribution, Student's t-distribution 423 Distribution, Zipfian see "Zipf's law" Divergence from randomness 287 298—302 Diversity 455—460 537 DMC 190 361 Docid index 49 document 7—8 45 Document format, binary 11 Document format, HTML 9 Document format, Microsoft Office 13 Document format, OOXML 13 Document format, PDF 11 Document format, PostScript 11 Document format, raw text 13 Document format, SGML 11 Document format, XML 11 565 Document length normalization 78 139 271—273 295 296 299 301 Document Map 105 214 Document partitioning 490—493 496 Document reordering 214—216 Document structure, logical 11 Document structure, physical 11 document type declaration 570 Document Type Definition see "DTD" Document, element 7 564 Document, update 7 Dot product 55 Double index 86 DTD 568—570 Duplicate Web page 549 Dutch 94 95 98 Dwell time 541 Dynamic Markov compression see "DMC" Dynamic page 510 Dynamic programming 492 Dynamic rank 517 535 EBCDIC 91 effect size 426 Effectiveness 8 67 538 584 Efficiency 8 75 468 Eigenvalue 529 Eigenvector 529 Eliteness 267 299 301 Empirical distribution 419 Encoder 175 English 95 Enterprise search 4 511 entropy 180 223 360 Entropy of English text 190 191 Entropy, relative 296 Ergodic 529 Euclidean distance 56 Exhaustivity 8 584 Exponential search see "Galloping search" Extensible Markup Language see "XML" F-measure 68 371 False negative 332 False positive 332 Fault tolerance 472 496—498 FCFS see "First-come first-served" Feature engineering 338—339 Feedback see "Pseudo-relevance feedback" File system search 3 Filtering 4 310 313 320 filtering, spam 325 342 Finite-context model 178 190 Finnish 94 95 97 Fire 98 First-come first-served 473 474 478 First-order language model 19 Fisher, Ronald Aylmer 414 427 Fixed-effect model 440 Fixed-point iteration 519 Flash 13 Flat index see "Schema-independent index" FLWOR expression 574 Follow matrix 523 Forward index 131 Fragmentation 233 242 Fragmentation, internal 108 123 124 483 French 94 95 Frequency index 49 Front coding 219—221 Function word 89 Fusion 376 377—381 Galloping search 42—44 62 65 111 246 Gamma code see " Garbage collection 245—250 Gaussian distribution 417 GC-list 160—162 Generalizability 415 Generalized concordance list see "GC-list" Generative model 286 289 Geometric mean 44 409 Geometric mean average precision see "GMAP" Geometric partitioning 240—242 German 95 98 GMAP 410 422 Goldilocks 75 Golomb code 196—200 209 Gosset, William Sealy 423 GOV2 collection 25 GPU 504 Graded relevance see "Relevance" Gradient descent 348 Granularity 112 GROUPING 124 gzip 191 Hadoop 504 Hamlet 87 90 290 508 Harmonic mean 68 Harmonic mean, weighted 68 Hash table 107 Hathaway, Anne 51
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