Learning Evaluation Metrics             

Project Information

• Award Number: 1049694

• Duration: 2010-2012

• Award Title: Learning Evaluation Metrics for Information Retrieval

• PI: Hongyuan Zha

• Students: Ke Zhou, Shuang-Hong Yang

• Collaborators: Yahoo! Labs

Technical Details

• Learning Gain and Discount Parameters in DCG

• Image Similarity (under construction)

Publications

K. Zhou, H. Zha, G. Xue, F. Li and X. Li. Learning the Gain Values and Discount Factors in DCG (Submitted)

Boarder Impact and Education Material

The project has a number of broad impacts. Research results are expected to provide foundations for further research in evaluation metrics. Active collaborations with industry leaders in Web search will enable the resulting methods to have real impacts on search engine as well as large IR system performance improvements. Improving the quality of search results will have significant impacts on satisfying people's information needs as well as their quality of life in general. The set of research topics lies at the interface between information retrieval and machine learning applications and it provides an ideal setting for training undergraduate and graduate students in the emerging interdisciplinary field of Web of science and engineering research.

Acknowledgement:

This material is based upon work supported by the National Science Foundation under Grant No. 1049694.