Relevance feedback techniques are designed to automatically improve a system's representation of a query by using documents the user has marked as relevant. However, traditional relevance feedback models suffer from a number of limitations that restrict their potential in supporting information seeking. One of the major limitations of relevance feedback is that it does not incorporate behavioural aspects of information seeking - how and why users assess relevance. We propose that relevance feedback should be viewed as a process of explanation and demonstrate how this limitation of relevance feedback techniques can be overcome by a theory of relevance feedback based on abductive inference.
|Number of pages||7|
|Publication status||Published - 3 Sep 1999|
|Event||10th Irish Conference on Artificial Intelligence and Cognitive Science - Cork, Ireland|
Duration: 1 Sep 1999 → 3 Sep 1999
|Conference||10th Irish Conference on Artificial Intelligence and Cognitive Science|
|Period||1/09/99 → 3/09/99|
- information retrieval
- abductive inference
- relevance feedback
Ruthven, I., Lalmas, M., van Rijsbergen, C. J., Bridge, D. G. (Ed.), Byrne, R. M. (Ed.), O'Sullivan, B. (Ed.), Prestwich, S. (Ed.), & Sorensen, H. (Ed.) (1999). Retrieval through explanation: an abductive inference approach to relevance feedback. Paper presented at 10th Irish Conference on Artificial Intelligence and Cognitive Science, Cork, Ireland, .