Information Theoretic Retrieval with Structured Queries and Documents
In this paper we present an extension of information retrieval based on Kullback-Leibler divergence (with backoff smoothing) to support structured queries on structured documents. The proposed method applies to several common retrieval tasks characterized by an implication relationship among texts, including fielded topics and XML documents. We discuss how to choose the method parameters to make the computation of the ranking function efficient. We finally report some experimental results obtained using a loose approximation of the model based on a discriminative selection strategy.
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