Adaptive Temporal Query Modeling

  • Maria-Hendrike Peetz
  • Edgar Meij
  • Maarten de Rijke
  • Wouter Weerkamp
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7224)

Abstract

We present an approach to query modeling that uses the temporal distribution of documents in an initially retrieved set of documents. Such distributions tend to exhibit bursts, especially in news-related document collections. We hypothesize that documents in those bursts are more likely to be relevant and update the query model with the most distinguishing terms in high-quality documents sampled from bursts. We evaluate the effectiveness of our models on a test collection of blog posts.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Maria-Hendrike Peetz
    • 1
  • Edgar Meij
    • 1
  • Maarten de Rijke
    • 1
  • Wouter Weerkamp
    • 1
  1. 1.ISLAUniversity of AmsterdamAmsterdamThe Netherlands

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