MASS: A multi-fAcet domain-specific influential blogger mining system

Yichuan Cai, Yi Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

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.

Original languageEnglish (US)
Title of host publication26th IEEE International Conference on Data Engineering, ICDE 2010 - Conference Proceedings
Pages1109-1112
Number of pages4
DOIs
StatePublished - Jun 1 2010
Externally publishedYes
Event26th IEEE International Conference on Data Engineering, ICDE 2010 - Long Beach, CA, United States
Duration: Mar 1 2010Mar 6 2010

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other26th IEEE International Conference on Data Engineering, ICDE 2010
CountryUnited States
CityLong Beach, CA
Period3/1/103/6/10

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Information Systems

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