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Lecture Notes in Computer Science
Queries submitted to a retrieval system are often ambiguous. In such a situation, a sensible strategy is to diversify the ranking of results to be retrieved, in the hope that users will find at least one of these results to be relevant to their information need. In this paper, we introduce xQuAD, a novel framework for search result diversification that builds such a diversified ranking by explicitly accounting for the relationship between documents retrieved for the original query and thedoi:10.1007/978-3-642-12275-0_11 fatcat:pcjesatrffg2zjjp5s4niqn3ne