The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Document ranking on weight-partitioned signature files
ACM Transactions on Information Systems (TOIS)
A theory of term weighting based on exploratory data analysis
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Improving automatic query expansion
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information retrieval as statistical translation
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
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Search engines today are not always correct in their assessment of how well websites correlate with user-defined keywords. Through extensive research, an adequate relevance factor formula was found and implemented. Chris Buckley, Gerald Salton, and James Allan introduced this formula. It is an automated tool for website ranking, which corresponds more closely to how the users would rate the websites' significance. The formula depends partly on the number of times the user-defined keyword(s) appear(s) in the document.