Document representation in probabilistic models of information retrieval

Journal of the American Society for Information Science

Volumn 32, Issue 6, 1981, Pages 451-457

  Croft, W Bruce ^a  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

STATISTICAL METHODS - APPLICATIONS;

BOOLEAN RETRIEVAL; SEARCH METHODS; STOCHASTIC MODELS; TERM FREQUENCY CHARACTERISTICS; TERM RELEVANCE WEIGHTS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 0019633683     PISSN: 00028231     EISSN: 10974571     Source Type: Journal    
DOI: 10.1002/asi.4630320609     Document Type: Article

References (15)

1. Precision weighting—an effective automatic indexing method
2. Relevance weighting of search terms
3. A theoretical basis for the use of cooccurrence data in information retrieval
4. Using probabilistic models of document retrieval without relevance information
5. A statistical interpretation of term specificity and its application in retrieval
6. A theory of term importance in automatic text analysis
7. A probabilistic approach to automatic keyword indexing. Part I: On the distribution of specialty words in a technical literature. Part II: An algorithm for probabilistic indexing
8. On relevance, probabilistic indexing and information retrieval
9. The automatic creation of literature abstracts
10. Automatic abstracting and indexing survey and recommendations
11. The probability ranking principle in IR
12. An evaluation of feedback in document retrieval using co‐occurrence data