Towards expert finding by leveraging relevant categories in authority ranking

Authors:
Hengshu Zhu;Huanhuan Cao;Hui Xiong;Enhong Chen;Jilei Tian
Affiliations:
University of Science and Technology of China, Hefei, China;Nokia Research Center, Beijing, China;Rutgers University, Newark, NJ, USA;University of Science and Technology of China, Hefei, China;Nokia Research Center, Beijing, China
Venue:
Proceedings of the 20th ACM international conference on Information and knowledge management
Year:
2011

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Abstract

How to improve authority ranking is a crucial research problem for expert finding. In this paper, we propose a novel framework for expert finding based on the authority information in the target category as well as the relevant categories. First, we develop a scalable method for measuring the relevancy between categories through topic models. Then, we provide a link analysis approach for ranking user authority by considering the information in both the target category and the relevant categories. Finally, the extensive experiments on two large-scale real-world Q&A data sets clearly show that the proposed method outperforms the baseline methods with a significant margin.