On Domain Similarity and Effectiveness of Adapting-to-Rank

Authors

Keke Chen, Wright State University - Main CampusFollow
Jing Bai
Srihari Reddy
Belle Tseng

Document Type

Conference Proceeding

Publication Date

11-2009

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Abstract

Adapting to rank address the problem of insufficient domain-specific labeled training data in learning to rank. However, the initial study show that adaptation is not always effective. In this paper, we investigate the relationship between the domain similarity and the effectiveness of domain adaptation with the help of two domain similarity measures: relevance correlation and sample distribution correlation.

Comments

Presented at the 18th ACM Conference on Information and Knowledge Management, Hong Kong, China, November 2-6, 2009.

Repository Citation

Chen, K., Bai, J., Reddy, S., & Tseng, B. (2009). On Domain Similarity and Effectiveness of Adapting-to-Rank. Proceedings of the 18th ACM Conference on Information and Knowledge Management, 1601-1604.
https://corescholar.libraries.wright.edu/knoesis/894