relevance feedback

Terms from Artificial Intelligence: humans at the heart of algorithms

Relevance feedback is used in docuemnt retreival, recommender systes and other forms of intelligent user interfaces to allow users to say how good autimated suggestions are. This is then fed back into the algorithms to improve future suggestions. In some cases relevance feedback is {[explicit}}, for example, adding a star rating or thumbs up, in others it is implicit for example, if the users clicks through for more information about a suggested item. Epistemic interaction can be used to design interactions that increase this feedback.

Used on pages 406, 458