1. Introduction. - 2. Retrieval Strategies. - 2. 1 Vector Space Model. - 2. 2 Probabilistic Retrieval Strategies. - 2. 3 Inference Networks. - 2. 4 Extended Boolean Retrieval. - 2. 5 Latent Semantic Indexing. - 2. 6 Neural Networks. - 2. 7 Genetic Algorithms. - 2. 8 Fuzzy Set Retrieval. - 2. 9 Summary. - 2. 10 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. Efficiency Issues Pertaining To Sequential IR Systems. - 4. 1 Inverted Index. - 4. 2 Query Processing. - 4. 3 Signature Files. - 4. 4 Summary. - 4. 5 Exercises. - 5. Integrating Structured Data and Text. - 5. 1 Review of the Relational Model. - 5. 2 A Historical Progression. - 5. 3 Information Retrieval Functionality Using the Relational Model. - 5. 4 Boolean Retrieval. - 5. 5 Proximity Searches. - 5. 6 Computing Relevance Using Unchanged SQL. - 5. 7 Relevance Feedback in the Relational Model. - 5. 8 Summary. - 5. 9 Exercises. - 6. Parallel Information Retrieval Systems. - 6. 1 Parallel Text Scanning. - 6. 2 Parallel Indexing. - 6. 3 Parallel Implementation of Clustering and Classification. - 6. 4 Summary. - 6. 5 Exercises. - 7. Distributed Information Retrieval. - 7. 1 A Theoretical Model of Distributed IR. - 7. 2 Replication in Distributed IR Systems. - 7. 3 Implementation Issues of a Distributed IR System. - 7. 4 Improving Performance of Web-based IR Systems. - 7. 5 Web Search Engines. - 7. 6 Summary. - 7. 7 Exercises. - 8. The Text Retrieval Conference (TREC). - 9. Future Directions. - References. Language: English