Title :
Latent Link Analysis for Expert Finding in User-Interactive Question Answering Services
Author :
Lu, Yao ; Quan, Xiaojun ; Ni, Xingliang ; Liu, Wenyin ; Xu, Yinlong
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
In this paper, we propose a latent link analysis approach for improving the accuracy of expert finding in user-interactive question answering (UIQA) services. Both direct and latent relationship links are considered in the link analysis of the user relation graph model. In the graph model, the direct links can be acquired directly from question-answer relationship between users. While the latent links, which reveal the latent question-answer relation between users, can be obtained indirectly by measuring the similarity between users´ asked and answered question profiles. Finally, a propagation-based approach is employed to calculate the expert score for evaluating users´ expertise levels. Experimental results show that our approach can perform better than the method without considering latent relationship links in terms of expert finding and ranking.
Keywords :
data mining; graph theory; information retrieval; expert finding; latent link analysis; propagation-based approach; user relation graph model; user-interactive question answering service; Algorithm design and analysis; Computer science; Information retrieval; Social network services; Voting;
Conference_Titel :
Semantics, Knowledge and Grid, 2009. SKG 2009. Fifth International Conference on
Conference_Location :
Zhuhai
Print_ISBN :
978-0-7695-3810-5
DOI :
10.1109/SKG.2009.54
