Ranking Weblogs by Analyzing Reading and Commenting Activities
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Utilizing Social Relationships for Blog Popularity Mining
AIRS '09 Proceedings of the 5th Asia Information Retrieval Symposium on Information Retrieval Technology
Vlogging: A survey of videoblogging technology on the web
ACM Computing Surveys (CSUR)
Effective ranking techniques for book review retrieval based on the structural feature
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
Privacy preserving release of blogosphere data in the presence of search engines
Information Processing and Management: an International Journal
Ontology-based blog collection and profile-based personalised ranking
International Journal of Computer Applications in Technology
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Blogs have become one of most important parts of web but we do not have so efficient search engines for them. One reason is differences between regular web pages and blog pages and inefficiency of conventional web pages ranking algorithms for blogs ranking. There are some works in this field but users' behavioral features have not considered yet. In this paper we present a new blogs ranking algorithm called B2Rank based on these features.