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In this paper the authors propose a novel document retrieval model in which text queries are augmented with multi-dimensional taxonomy restrictions. These restrictions may be relaxed at a cost to result quality. This new model may be applicable in many areas, including multifaceted, product, and local search, where documents are augmented with hierarchical metadata such as topic or location. They present efficient algorithms for indexing and query processing in this new retrieval model.
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