Relevance Feedback

Definition(s)

  • An Active Learning process in which the Documents with the highest likelihood of Relevance are coded by a human, and added to the Training Set. 1
  • A class of machine learning techniques where users indicate the relevance of items that have been retrieved for them and the machine learns thereby to improve the quality of its recommendations. 2 3

Notes

  1. Maura R. Grossman and Gordon V. Cormack, EDRM page & The Grossman-Cormack Glossary of Technology-Assisted Review, with Foreword by John M. Facciola, U.S. Magistrate Judge2013 Fed. Cts. L. Rev. 7 (January 2013).
  2. Herb Roitblat, Search 2020: The Glossary.
  3. Herb Roitblat, Predictive Coding Glossary.