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Two methods are given to improve weighting schemes by using relevance information of a set of queries. The first method is to estimate parameter values of two independence models in information retrieval ---the binary independence model and the non-binary independence model. The parameters estimated here are used to calculate optimal weights for terms in a different set of queries. Performance of this estimation is compared to the inverse document frequency method, the cosine measure, and thedoi:10.1145/62437.62451 dblp:conf/sigir/YuM88 fatcat:svb6m4gwcfaifagac2qlwjwttm