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Combining the output from multiple retrieval sources over the same document collection is of great importance to a number of retrieval tasks such as multimedia retrieval, web retrieval and meta-search. To merge retrieval sources adaptively according to query topics, we propose a series of new approaches called probabilistic latent query analysis (pLQA), which can associate non-identical combination weights with latent classes underlying the query space. Compared with previous query independentdoi:10.1145/1148170.1148228 dblp:conf/sigir/YanH06 fatcat:r2cri2qq4bg37jl4e3ecq2lsn4