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