Using Relevance Feedback and Ranking in Interactive Searching

نویسندگان

  • Nicholas J. Belkin
  • Colleen Cool
  • Jürgen Koenemann
  • Kwong Bor Ng
  • Soyeon Park
چکیده

We present results of a study in which 50 searchers, of varying degrees of experience in information retrieval (IR), each performed searches on two TREC4 adhoc interactive track topics, using a simple interface to the INQUERY retrieval engine. The foci of our study were: the relationships between the users' models and experience of IR, and their performance in the TREC-4 adhoc task while using a best-match IR system with relevance feedback; the understanding, use and utility of relevance feedback and ranking in interactive IR; and, the evaluation of interactive IR.† *

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تاریخ انتشار 1995