Online social networks offer opportunities to analyze user behavior and social connectivity and leverage resulting insights for effective online advertising. We study the adopti...
The probability that a term appears in relevant documents ( ) is a fundamental quantity in several probabilistic retrieval models, however it is difficult to estimate without rele...
While there has been advances in observational equipment that generate huge high quality images, the processing of these images remains a major bottleneck. We show that provenance...
Johnson Mwebaze, John McFarland, Danny Booxhorn, E...
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...
This paper presents a novel approach for the visualization and clustering of crowd video contents by using multilinear principal component analysis (MPCA). In contrast to feature-...
This paper aims to detect users generating spam reviews or review spammers. We identify several characteristic behaviors of review spammers and model these behaviors so as to dete...
In this paper, we describe WikiPop service, a system designed to detect significant increase of popularity of topics related to users’ interests. We exploit Wikipedia page view...