Fab: content-based, collaborative recommendation
Communications of the ACM
Navigation via similarity: automatic linking based on semantic closeness
Information Processing and Management: an International Journal - Special issue: methods and tools for the automatic construction of hypertext
Authoritative sources in a hyperlinked environment
Journal of the ACM (JACM)
A Framework for Collaborative, Content-Based and Demographic Filtering
Artificial Intelligence Review - Special issue on data mining on the Internet
Proceedings of the 1st international conference on Knowledge capture
Mining the network value of customers
Proceedings of the seventh ACM SIGKDD international conference on Knowledge discovery and data mining
A Gauss-Seidel projection method for micromagnetics simulations
Journal of Computational Physics
Maximizing the spread of influence through a social network
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Using mixture models for collaborative filtering
STOC '04 Proceedings of the thirty-sixth annual ACM symposium on Theory of computing
The predictive power of online chatter
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
BlogRank: ranking weblogs based on connectivity and similarity features
AAA-IDEA '06 Proceedings of the 2nd international workshop on Advanced architectures and algorithms for internet delivery and applications
Investigating interactions of trust and interest similarity
Decision Support Systems
Identifying the influential bloggers in a community
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Node roles and community structure in networks
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Influence and correlation in social networks
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Evaluating similarity measures for emergent semantics of social tagging
Proceedings of the 18th international conference on World wide web
Mining Influential Bloggers: From General to Domain Specific
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
A weighted tag similarity measure based on a collaborative weight model
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Proceedings of the Second Asia conference on Asia Information Retrieval Technology
AIRS'05 Proceedings of the Second Asia conference on Asia Information Retrieval Technology
Convergence of influential bloggers for topic discovery in the blogosphere
SBP'10 Proceedings of the Third international conference on Social Computing, Behavioral Modeling, and Prediction
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With the rapid development of web 2.0 technology and e-business, influential bloggers can bring great business values to modern enterprise by increasing market profits and enlarging business impacts. Despite that several systems are available for mining influential bloggers, they are oblivious to domain specific features and potential influence, which are critical for real application requirements. In this paper, we propose an effective model to mine top-k influential bloggers that considers not only post-reply relationships, external links and network proximity, but interest domains, as well as both explicit influence and implicit influence. We develop an influential blogger mining system based on the proposed model, and discuss business applications that can be benefited from these techniques. The experiment results show that our system can effectively mine influential bloggers.