Abstract
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.
| Original language | English |
|---|---|
| Number of pages | 7 |
| Publication status | Published - 3 Sept 1999 |
| Event | 10th Irish Conference on Artificial Intelligence and Cognitive Science - Cork, Ireland Duration: 1 Sept 1999 → 3 Sept 1999 |
Conference
| Conference | 10th Irish Conference on Artificial Intelligence and Cognitive Science |
|---|---|
| City | Cork, Ireland |
| Period | 1/09/99 → 3/09/99 |
Keywords
- information retrieval
- abductive inference
- relevance feedback
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