Exploring social annotations for the semantic web
Proceedings of the 15th international conference on World Wide Web
Optimizing web search using social annotations
Proceedings of the 16th international conference on World Wide Web
P-TAG: large scale automatic generation of personalized annotation tags for the web
Proceedings of the 16th international conference on World Wide Web
Towards effective browsing of large scale social annotations
Proceedings of the 16th international conference on World Wide Web
An assessment of tag presentation techniques
Proceedings of the 16th international conference on World Wide Web
Blog Community Discovery and Evolution Based on Mutual Awareness Expansion
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Behavior Patterns of Information Discovery in Social Bookmarking Service
WI '07 Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence
Tag-based social interest discovery
Proceedings of the 17th international conference on World Wide Web
Exploring social annotations for information retrieval
Proceedings of the 17th international conference on World Wide Web
A generic framework for collaborative multi-perspective ontology acquisition
Proceedings of the 17th international conference on World Wide Web
Finding similar pages in a social tagging repository
Proceedings of the 17th international conference on World Wide Web
Plurality: a context-aware personalized tagging system
Proceedings of the 17th international conference on World Wide Web
Blog Community Discovery Based on Tag Data Clustering
PACIIA '08 Proceedings of the 2008 IEEE Pacific-Asia Workshop on Computational Intelligence and Industrial Application - Volume 02
Classification of Bloggers Using Social Annotations
AINA '09 Proceedings of the 2009 International Conference on Advanced Information Networking and Applications
Constrained co-clustering with non-negative matrix factorisation
International Journal of Business Intelligence and Data Mining
SMINER - a platform for data mining based on service-oriented architecture
International Journal of Business Intelligence and Data Mining
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This paper proposes a method that divides bloggers to clusters according to their interests. The method calculates similarities between the bloggers based on three steps. That is, the method calculates similarities between target objects discussed in blog articles based on social annotations. It calculates similarities between impressions related to the target objects based on impression words included in blog articles. Here, products, works and services are examples of the target objects. Lastly, the method calculates similarities between the bloggers by combining the results of the method's first and second calculation steps, and divides the bloggers to clusters based on the similarities. The paper applies the method to the Commutents data and the Yahoo! Japan Movie data, and verifies the effectiveness of the method.