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Information retrieval systems are being challenged to manage larger and larger document collections. In an effort to provide better retrieval performance on large collections, more sophisticated retrieval techniques have been developed that support rich, structured queries. Structured queries are not amenable to previously proposed optimization techniques. Optimizing execution, however, is even more important in the context of large document collections. We present a new structured querydoi:10.1145/215206.215329 dblp:conf/sigir/Brown95 fatcat:u4wgjdios5chnbjmy655n3uy3i