Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection

@inproceedings{Bashir2009ImprovingRO,
  title={Improving retrievability of patents with cluster-based pseudo-relevance feedback documents selection},
  author={Shariq Bashir and Andreas Rauber},
  booktitle={CIKM},
  year={2009}
}
High findability of documents within a certain cut-off rank is considered an important factor in recall-oriented application domains such as patent or legal document retrieval. Findability is hindered by two aspects, namely the inherent bias favoring some types of documents over others introduced by the retrieval model, and the failure to correctly capture and interpret the context of conventionally rather short queries. In this paper, we analyze the bias impact of different retrieval models… CONTINUE READING
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