DocumentCode :
2079882
Title :
MASS: a multi-facet domain-specific influential blogger mining system
Author :
Cai, Yichuan ; Chen, Yi
Author_Institution :
Arizona State Univ., Tempe, AZ, USA
fYear :
2010
fDate :
1-6 March 2010
Firstpage :
1109
Lastpage :
1112
Abstract :
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.
Keywords :
Internet; data mining; MASS; Web 2.0 technology; blogosphere; e-business; interest domains; multifacet domain specific influential blogger mining system; top-k influential blogger;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Engineering (ICDE), 2010 IEEE 26th International Conference on
Conference_Location :
Long Beach, CA
Print_ISBN :
978-1-4244-5445-7
Electronic_ISBN :
978-1-4244-5444-0
Type :
conf
DOI :
10.1109/ICDE.2010.5447798
Filename :
5447798
Link To Document :
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