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信息检索 算法与启发式方法2025|PDF|Epub|mobi|kindle电子书版本百度云盘下载

信息检索 算法与启发式方法
  • （美）DavidA.Grossman，OphirFrieder编著 著
  • 出版社： 北京：人民邮电出版社
  • ISBN：9787115212252
  • 出版时间：2009
  • 标注页数：332页
  • 文件大小：17MB
  • 文件页数：346页
  • 主题词：情报检索－英文

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图书目录

1.1 Document Retrieval2

1.2 Document Routing3

1.3 Result Set:Relevant Retrieved,Relevant,and Retrieved4

1.4 Precision and Two Points ofRecall5

1.5 Typical and Optimal Precision/Recall Graph5

2.1 Vector Space Model13

2.2 Vector Space Model with a Two Term Vocabulary14

2.3 Inverted Index17

2.4 Training Data for Probabilistic Retrieval25

2.5 Language Model46

2.6 Simple Inference Network58

2.7 Document-Tem-Query Inference Network63

2.8 Inference Network64

2.9 Neural Network with Feedback76

3.1 Relevance Feedback Process95

3.2 Document Clustering106

3.3 Overlapping vs Non-Overlapping Passages115

3.4 Using a Thesaurus to Expand a Query122

4.1 Translate the Query152

4.2 Translate the Documents153

5.1 Inverted Index183

6.1 IR as an Application of a RDBMS213

6.2 Intranet Mediator Architecture254

7.1 Partitioning an Inverted Index264

8.1 Distributed Document Retrieval276

8.2 Simple PageRank Calculation283

9.1 Sample TREC document294

9.2 Sample TREC query294

1．INTRODUCTION1

2．RETRIEVAL STRATEGIES9

2.1 Vector Space Model11

2.2 Probabilistic Retrieval Strategies21

2.3 Language Models45

2.4 Inference Networks57

2.5 Extended Boolean Retrieval67

2.6 Latent Semantic Indexing70

2.7 Neural Networks74

2.8 Genetic Algorithms80

2.9 Fuzzy Set Retrieval84

2.10 Summary90

2.11 Exercises91

3．RETRIEVAL UTILITIES93

3.1 Relevance Feedback94

3.2 Clustering105

3.3 Passage-based Retrieval113

3.4 N-grams115

3.5 Regression Analysis119

3.6 Thesauri122

3.7 Semantic Networks132

3.8 Parsing139

3.9 Summary146

3.10 Exercises146

4．CROSS-LANGUAGE INFORMATION RETRIEVAL149

4.1 Introduction149

4.2 Crossing the Language Barrier151

4.3 Cross-Language Retrieval Strategies157

4.4 Cross Language Utilities170

4.5 Summary178

4.6 Exercises179

5．EFFICIENCY181

5.1 Inverted Index182

5.2 Query Processing195

5.3 Signature Files199

5.4 Duplicate Document Detection203

5.5 Summary208

5.6 Exercises209

6．INTEGRATING STRUCTURED DATA AND TEXT211

6.1 Review of the Relational Model215

6.2 A Historical Progression222

6.3 Information Retrieval as a Relational Application228

6.4 Semi-Structured Search using a Relational Schema245

6.5 Multi-dimensional Data Model250

6.6 Mediators250

6.7 Summary253

6.8 Exercises254

7．PARALLEL INFORMATION RETRIEVAL257

7.1 Parallel Text Scanning258

7.2 Parallel Indexing263

7.3 Clustering and Classification270

7.4 Large Parallel Systems271

7.5 Summary272

7.6 Exercises274

8．DISTRIBUTED INFORMATION RETRIEVAL275

8.1 A Theoretical Model of Distributed Retrieval276

8.2 Web Search281

8.3 Result Fusion284

8.4 Peer-to-Peer Information Systems286

8.5 Other Architectures289

8.6 Summary290

8.7 Exercises290

9．SUMMARY AND FUTURE DIRECTIONS291

References299

Index331

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