Jia Chen, Qin Jin, et al.
SIGIR 2014
This paper is concerned with the problem of boosting social annotations using propagation, which is also called social propagation. In particular, we focus on propagating social annotations of web pages (e.g., annotations in Del.icio.us). Although social annotations are developing fast, they cover only a small proportion of Web pages on the World Wide Web. To alleviate the low coverage problem, a general propagation model based on Random Surfer is proposed. Specifically, four steps are included: basic propagation, multiple-annotation propagation, multiple-link-type propagation, and constraint-guided propagation. Experimental results show that the proposed model is very effective in increasing coverage of annotations as well as preserving property of social annotations.
Jia Chen, Qin Jin, et al.
SIGIR 2014
Gang Luo, Philip S. Yu
CIKM 2008
Ben Fei, Jinbai Liu
IEEE Transactions on Neural Networks
Enpeng Yao, Guoqing Zheng, et al.
SIGIR 2014