Research - Faculty
Assistant Professor Hui Fang
Models and Measures for Novel and Diverse Search Results
- An Early Warning System for Unrecognized Drug Side Effects Discovery
- Improving Search Quality in Enterprise Search through Integrated Information and Collaborative Activities
- Models and Measures for Novel and Diverse Search Results
Office: Evans 316
Traditional models of information retrieval assume documents are independently relevant. However, users often want to see the retrieved documents cover several subtopics, or different possible interpretations, or nuggets of relevant information for a query. In these cases, modeling documents as independently relevant does not provide the optimal user experience. This research project attempts to remedy this with new models of document interdependence and new evaluation measures.