Query-Sensitive similarity measures for the calculation of interdocument relationships

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2001, Pages 17-24

  Tombros, Anastasios ^a   Van Rijsbergen, C J ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Cluster hypothesis; Document clustering; Information retrieval; Query sensitive similarity measures

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL SYSTEMS;

INTERDOCUMENT RELATIONSHIPS;

QUERY LANGUAGES;

EID: 0035754575     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/502586.502589     Document Type: Conference Paper

References (32)

1. User-defined relevance criteria: An exploratory study
2. Representing documents using an explicit model of their similarities
3. A model of cluster searching based on classification
4. User-oriented clustering: A framework for learning in information retrieval
5. Techniques for the measurement of clustering tendency in document retrieval systems
6. Measuring the degree of similarity between objects in text retrieval systems
7. Seven strictures on similarity
8. User-based clustering by redescribing subject descriptors with a genetic algorithm
9. Using interdocument similarity information in document retrieval systems
10. Re-examining the cluster hypothesis: Scatter/Gather on retrieval results
11. Coefficients of association and similarity, based on binary (presence-absence) data: An evaluation
12. Real life, real users, and real needs: A study and analysis of users on the web
13. The use of hierarchical clustering in information retrieval
14. Pictures of relevance: A geometric analysis of similarity measures
15. Attention, similarity, and the identification-categorization relationship
16. Clustering as an output option
17. The concept of "relevance" in information science: A historical review
18. A re-examination of relevance: Toward a dynamic, situational definition
19. Toward memory-based reasoning
20. The effectiveness of query-specific hierarchical clustering in information retrieval
21. Features of similarity
22. Query expansion using lexical-semantic relations
23. Similarity coefficients and weighting functions for automatic document classification: An empirical comparison
24. Query specific automatic document classification
25. Recent trends in hierarchic document clustering: A critical review
26. Adaptive document clustering