Title language model for information retrieval

  title={Title language model for information retrieval},
  author={Rong Jin and Alexander G. Hauptmann and ChengXiang Zhai},
In this paper, we propose a new language model, namely, a title language model, for information retrieval. Different from the traditional language model used for retrieval, we define the conditional probability P(Q|D) as the probability of using query Q as the title for document D. We adopted the statistical translation model learned from the title and document pairs in the collection to compute the probability P(Q|D). To avoid the sparse data problem, we propose two new smoothing methods. In… CONTINUE READING
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