2013 IEEE 29th International Conference on Data Engineering (ICDE) (2010)
Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
Yi Chen , Arizona State University, USA
Yichuan Cai , Arizona State University, USA
With rapid development of web 2.0 technology and e-business, bloggers play significant roles in the blogosphere as well as the external world. In particular, influential bloggers can bring great business values to modern enterprise. Despite that several systems for mining influential bloggers are available, they measure the influence of bloggers in general rather than domain specific, which is not applicable for real application requirements, such as business advertisement, personalized recommendation and so on. In this paper, we propose an effective model to mine the top-k influential bloggers according to their interest domains, the impact and attitude of the comments to their posts, as well as their authority in the network of page links. In this demonstration, we present MASS, an effective system for mining influential bloggers. We will present the techniques in MASS, its experimental evaluation, as well as its applications.
Yi Chen, Yichuan Cai, "MASS: a multi-facet domain-specific influential blogger mining system", 2013 IEEE 29th International Conference on Data Engineering (ICDE), vol. 00, no. , pp. 1109-1112, 2010, doi:10.1109/ICDE.2010.5447798