Fondazione Ugo Bordoni at TREC 2003: Robust and Web Track

نویسندگان

  • Gianni Amati
  • Claudio Carpineto
  • Giovanni Romano
چکیده

Our participation in TREC 2003 aims to adapt the use of the DFR (Divergence From Randomness) models with Query Expansion (QE) to the robust track and the topic distillation task of the Web track. We focus on the robust track, where the utilization of QE improves the global performance but hurts the performance on the worst topics. In particular, we study the problem of the selective application of the query expansion. We define two information theoretic functions which are shown to be correlated respectively with the average precision and with the increase of average precision under the application of QE. The use of the second measure to selectively apply QE allows to achieve a performance comparable to that of the unexpanded method on the worst topics and better performance than full QE on the whole set of topics.

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تاریخ انتشار 2003