Post ranking in a blogosphere

The existing post ranking algorithms overlook the category and the time interval, which are valuable information to improve the accuracy of algorithms. The category, created by a blogger, implies the interested topics of her/him, and the time interval between the generation of a post and a blog-action is related to the quality of post. This paper proposes two approaches that exploit the category and the time interval, and we apply our approaches to the existing post ranking algorithms, i.e. PostRank, BAITS, BloggerAVG. We evaluate the accuracy of these algorithms by conducting extensive experiments using real-world blog data, and the results show that our approaches help each algorithm improve the accuracy.