On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents

@inproceedings{Raman2010OnIP,
  title={On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents},
  author={Karthik Raman and Raghavendra Udupa and Pushpak Bhattacharyya and Abhijit Bhole},
  booktitle={ECIR},
  year={2010}
}
Pseudo-Relevance Feedback (PRF) assumes that the topranking n documents of the initial retrieval are relevant and extracts expansion terms from them. In this work, we introduce the notion of pseudo-irrelevant documents, i.e. high-scoring documents outside of top n that are highly unlikely to be relevant. We show how pseudo-irrelevant documents can be used to extract better expansion terms from the topranking n documents: good expansion terms are those which discriminate the top-ranking n… CONTINUE READING
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