Precision Weighting—An Effective Automatic Indexing Method
Journal of the ACM (JACM)
Term Weighting in Information Retrieval Using the Term Precision Model
Journal of the ACM (JACM)
Probabilistic models of indexing and searching
SIGIR '80 Proceedings of the 3rd annual ACM conference on Research and development in information retrieval
Recent trends in automatic information retrieval
Proceedings of the 9th annual international ACM SIGIR conference on Research and development in information retrieval
Automatic assignment of soft Boolean operators
SIGIR '85 Proceedings of the 8th annual international ACM SIGIR conference on Research and development in information retrieval
Evaluation of the 2-Poisson model as a basis for using term frequency data in searching
SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
Some research problems in automatic information retrieval
SIGIR '83 Proceedings of the 6th annual international ACM SIGIR conference on Research and development in information retrieval
Privacy preserving multi-factor authentication with biometrics
Proceedings of the second ACM workshop on Digital identity management
Red Opal: product-feature scoring from reviews
Proceedings of the 8th ACM conference on Electronic commerce
Privacy preserving multi-factor authentication with biometrics
Journal of Computer Security - The Second ACM Workshop on Digital Identity Management - DIM 2006
Proposing a new term weighting scheme for text categorization
AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1
Building clusters of related words: an unsupervised approach
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
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Journal of Biomedical Informatics
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EC-Web'05 Proceedings of the 6th international conference on E-Commerce and Web Technologies
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Proceedings of the 12th International Conference on Knowledge Management and Knowledge Technologies
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The term relevance weighting method has been shown to produce optimal information retrieval queries under well-defined conditions. The parameters needed to generate the term relevance factors cannot unfortunately be estimated accurately in practice; futhermore, in realistic test situations, it appears difficult to obtain improved retrieval results using the term relevance weights over much simpler term weighting systems such as, for example, the inverse document frequency weights.It is shown in this study that the inverse document frequency weights and the term relevance weights are closely related over a wide range of the frequency spectrum. Methods are introduced for estimating the term relevance weights, and experimental results are given comparing the inverse document frequency with the estimated term relevance weights.