@inproceedings{Abdulmutalib/Fuhr:08,
  author={Najeeb Abdulmutalib and Norbert Fuhr},
  title={Language Models and Smoothing Methods for Collections with Large Variation in Document Length},
  ee={http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.33},
  crossref={Tjoa/Wagner:08},
  pages={9-14},
  bibsource={DBLP, http://dblp.uni-trier.de},
  entrydate=20080617,
  abstract={In this paper we present a new language model based on an odds formula, which explicitly incorporates document length as a parameter. Furthermore, a new smoothing method called exponential smoothing is introduced, which can be combined with most language models. We present experimental results for various language models and smoothing methods on a collection with large document length variation, and show that our new methods compare favorably with the best approaches known so far.}
}