Models for retrieval with probabilistic indexing

Information Processing and Management

Volumn 25, Issue 1, 1989, Pages 55-72

  Fuhr, Norbert ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

INFORMATION SCIENCE--INDEXING; PROBABILITY;

BINARY INDEPENDENCE INDEXING; DARMSTADT INDEXING APPROACH; PROBABILISTIC INDEXING;

INFORMATION RETRIEVAL SYSTEMS; INDEXING (OF INFORMATION);

CONTROLLED VOCABULARY; DESCRIPTOR; DESCRIPTORS; EVALUATION RESULTS; FREE TEXTS; INDEXING MODELS; INDEXING SCHEME; PROBABILISTIC RANKING; RETRIEVAL MODELS; RPI MODEL; SEARCH TERMS;

EID: 0024868803     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/0306-4573(89)90091-5     Document Type: Article

References (29)

1. The probability ranking principle in information retrieval
2. Precision weighting—an effective automatic indexing method
3. Relevance weighting of search terms
4. An evaluation of feedback in document retrieval using co-occurrence data
5. On relevance probabilistic indexing and information retrieval
6. Probabilistic approaches to the document retrieval problem
7. Probabilistic approach to automatic keyword indexing, Part I: On the distribution of speciality words in a technical literature
8. Probabilistic approach to automatic keyword indexing, Part II: An algorithm for probabilistic indexing
9. Probabilistic models for automatic indexing
10. A decision theoretic foundation for indexing
11. Probabilistic automatic indexing by learning from human indexers
12. Document representation in probabilistic models of information retrieval
13. A decision theory approach to optimal automatic indexing
14. Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS)
15. A probabilistic model of dictionary-based automatic indexing
16. Automatisches Indexieren als Erkennen abstrakter Objekte
17. Probabilistic models of indexing and searching
18. Experiments with representation in a document retrieval system
19. Planung und Durchführung der Retrievaltests
20. Outline of a general probabilistic retrieval model
21. Development of automatic indexing for the AIR retrieval test
22. Probabilistic search term weighting—some negative results
23. Using probabilistic models of document retrieval without relevance information
24. A theory of term importance in automatic text analysis
25. Recent trends in automatic information retrieval
26. Two Poisson and binary independence assumptions for probabilistic document retrieval
27. A failure analysis of the limitation of suffixing in an online environment