On Relevance, Probabilistic Indexing and Information Retrieval
Journal of the ACM (JACM)
Precision Weighting—An Effective Automatic Indexing Method
Journal of the ACM (JACM)
Operations Research Applied to Document Indexing and Retrieval Decisions
Journal of the ACM (JACM)
Foundations of Probabilistic and Utility-Theoretic Indexing
Journal of the ACM (JACM)
Theory of Indexing
Probabilistic models of indexing and searching
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Mustererkennung im Bereich der inhaltlichen Erschließung von Texten
Modelle und Strukturen, DAGM Symposium
Computational Linguistics
Recognition of abstract objects: a decision theory approach within natural language processing
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
The automatic indexing system AIR/PHYS - from research to applications
SIGIR '88 Proceedings of the 11th annual international ACM SIGIR conference on Research and development in information retrieval
Optimum polynomial retrieval functions based on the probability ranking principle
ACM Transactions on Information Systems (TOIS)
Optimum polynomial retrieval functions
SIGIR '89 Proceedings of the 12th annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Retrieval test evaluation of a rule based automatic indexing (AIR/PHYS)
SIGIR '84 Proceedings of the 7th annual international ACM SIGIR conference on Research and development in information retrieval
Recognition of abstract objects: a decision theory approach within natural language processing
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
Automated extraction of behavioural profiles from document usage
BT Technology Journal
Hi-index | 0.00 |
A decision theory approach to the development of retrieval systems is presented. Within this framework, optimalindexing is defined. Both the searching and the indexing problem turn out to have a common structure which is described using the concept of a 'recognition problem'. A knowledge based approach to an approximately optimalindexing, strictly related to the information need of user is outlined. The theory and the used approximation methods are illustrated by a brief description of WAI/AIR projects and some of their results.