1.1 Document Retrieval

1.2 Document Routing

1.3 Result Set:Relevant Retrieved,Relevant,and Retrieved

1.4 Precision and Two Points ofRecall

1.5 Typical and Optimal Precision/Recall Graph

2.1 Vector Space Model

2.2 Vector Space Model with a Two Term Vocabulary

2.3 Inverted Index

2.4 Training Data for Probabilistic Retrieval

2.5 Language Model

2.6 Simple Inference Network

2.7 Document-Tem-Query Inference Network

2.8 Inference Network

2.9 Neural Network with Feedback

3.1 Relevance Feedback Process

3.2 Document Clustering

3.3 Overlapping vs Non-Overlapping Passages

3.4 Using a Thesaurus to Expand a Query

4.1 Translate the Query

4.2 Translate the Documents

5.1 Inverted Index

6.1 IR as an Application of a RDBMS

6.2 Intranet Mediator Architecture

7.1 Partitioning an Inverted Index

8.1 Distributed Document Retrieval

8.2 Simple PageRank Calculation

9.1 Sample TREC document

9.2 Sample TREC query

1．INTRODUCTION

2．RETRIEVAL STRATEGIES

2.1 Vector Space Model

2.2 Probabilistic Retrieval Strategies

2.3 Language Models

2.4 Inference Networks

2.5 Extended Boolean Retrieval

2.6 Latent Semantic Indexing

2.7 Neural Networks

2.8 Genetic Algorithms

2.9 Fuzzy Set Retrieval

2.10 Summary

2.11 Exercises

3．RETRIEVAL UTILITIES

3.1 Relevance Feedback

3.2 Clustering

3.3 Passage-based Retrieval

3.4 N-grams

3.5 Regression Analysis

3.6 Thesauri

3.7 Semantic Networks

3.8 Parsing

3.9 Summary

3.10 Exercises

4．CROSS-LANGUAGE INFORMATION RETRIEVAL

4.1 Introduction

4.2 Crossing the Language Barrier

4.3 Cross-Language Retrieval Strategies

4.4 Cross Language Utilities

4.5 Summary

4.6 Exercises

5．EFFICIENCY

5.1 Inverted Index

5.2 Query Processing

5.3 Signature Files

5.4 Duplicate Document Detection

5.5 Summary

5.6 Exercises

6．INTEGRATING STRUCTURED DATA AND TEXT

6.1 Review of the Relational Model

6.2 A Historical Progression

6.3 Information Retrieval as a Relational Application

6.4 Semi-Structured Search using a Relational Schema

6.5 Multi-dimensional Data Model

6.6 Mediators

6.7 Summary

6.8 Exercises

7．PARALLEL INFORMATION RETRIEVAL

7.1 Parallel Text Scanning

7.2 Parallel Indexing

7.3 Clustering and Classification

7.4 Large Parallel Systems

7.5 Summary

7.6 Exercises

8．DISTRIBUTED INFORMATION RETRIEVAL

8.1 A Theoretical Model of Distributed Retrieval

8.2 Web Search

8.3 Result Fusion

8.4 Peer-to-Peer Information Systems

8.5 Other Architectures

8.6 Summary

8.7 Exercises

9．SUMMARY AND FUTURE DIRECTIONS

References

Index