Using temporal bursts for query modeling
We present an approach to query modeling that leverages the temporal distribution of documents in an initially retrieved set of documents. In news-related document collections such distributions tend to exhibit bursts. Here, we define a burst to be a time period where unusually many documents are pu...
|Published in:||Information Retrieval Journal, Vol. 17, No. 1 (2014), p. 74-108|
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|Item Description:||An earlier version of this article appeared as Peetz et al. (2012). In this substantially extended version we add a novel, non-uniform burst prior and carefully evaluate this new prior. We extend the query models presented in Peetz et al. (2012) with a new method to estimate the temporal distribution. We incorporate this method into the query modeling approach from Peetz et al. (2012) and compare it with algorithms for temporal information retrieval. What is also new is that we evaluate the influence of different test collections.|
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