I need to do relevance feedback that works with objects for which a low-level vector representation is always available and for which in some cases structured+free text metadata are available (e.g., text documents, images, 3d-models, audio). Are there any methods out there that are preferable to Rochio in this scenario? Should I consider active learning?
Interaction with the system can be initiated in three ways:
I want to be able to use the same family of feedback mechanism in all cases (i.e. different parameterization of the same method is acceptable for different object modalities and query types).