On query result diversification

  title={On query result diversification},
  author={Marcos R. Vieira and Humberto Luiz Razente and Maria Camila Nardini Barioni and Marios Hadjieleftheriou and Divesh Srivastava and Caetano Traina and Vassilis J. Tsotras},
  journal={2011 IEEE 27th International Conference on Data Engineering},
In this paper we describe a general framework for evaluation and optimization of methods for diversifying query results. In these methods, an initial ranking candidate set produced by a query is used to construct a result set, where elements are ranked with respect to relevance and diversity features, i.e., the retrieved elements should be as relevant as possible to the query, and, at the same time, the result set should be as diverse as possible. While addressing relevance is relatively simple… CONTINUE READING
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