Find-similar: similarity browsing as a search tool

@inproceedings{Smucker2006FindsimilarSB,
  title={Find-similar: similarity browsing as a search tool},
  author={Mark D. Smucker and James Allan},
  booktitle={SIGIR},
  year={2006}
}
Search systems have for some time provided users with the ability to request documents similar to a given document. Interfaces provide this feature via a link or button for each document in the search results. We call this feature find-similar or similarity browsing. We examined find-similar as a search tool, like relevance feedback, for improving retrieval performance. Our investigation focused on find-similar's document-to-document similarity, the reexamination of documents during a search… CONTINUE READING
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Key Quantitative Results

  • Find-similar with a query-biased similarity, avoiding the reexamination of documents, and a breadth-like browsing pattern achieved a 23% increase in the arithmetic mean average precision and a 66% increase in the geometric mean average precision over our baseline retrieval.
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