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We propose a language-model-based approach for addressing the performance robustness problem -with respect to free-parameters' values -of pseudo-feedback-based queryexpansion methods. Given a query, we create a set of language models representing different forms of its expansion by varying the parameters' values of some expansion method; then, we select a single model using criteria originally proposed for evaluating the performance of using the original query, or for deciding whether to employdoi:10.1145/1277741.1277880 dblp:conf/sigir/WinaverKD07 fatcat:trlqx2bsajaivpdpiqski6ib2m