Relevant query feedback in statistical language modeling

@inproceedings{Nallapati2003RelevantQF,
  title={Relevant query feedback in statistical language modeling},
  author={Ramesh Nallapati and W. Bruce Croft and James Allan},
  booktitle={CIKM},
  year={2003}
}
In traditional relevance feedback, researchers have explored relevant document feedback, wherein, the query representation is updated based on a set of relevant documents returned by the user. In this work, we investigate relevant query feedback, in which we update a document's representation based on a set of relevant queries. We propose four statistical models to incorporate relevant query feedback.To validate our models, we considered anchor text of incoming links to a given document as… CONTINUE READING
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