Formal multiple-bernoulli models for language modeling

@inproceedings{Metzler2004FormalMM,
  title={Formal multiple-bernoulli models for language modeling},
  author={Donald Metzler and Victor Lavrenko and W. Bruce Croft},
  booktitle={SIGIR},
  year={2004}
}
Statistical language modeling allows formal methods to be applied to information retrieval. As a result, such methods are preferred over their heuristic tf.idf -based counterparts. In language modeling, a statistical model is estimated for each document in the corpus. Documents are then scored by the likelihood the query was generated by the document’s model. Typically, the underlying model is assumed to be of a specific parametric form. In the past, a number of different assumptions have been… CONTINUE READING
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