信息检索-算法与启发式方法-(第2版)-(英文版)

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