—In this paper, we propose a Bayesian-inference based recommendation system for online social networks. In our system, users share their content ratings with friends. The rating ...
Accurate prediction of user behaviors is important for many social media applications, including social marketing, personalization and recommendation, etc. A major challenge lies ...
ErHeng Zhong, Wei Fan, Junwei Wang, Lei Xiao, Yong...
The structure of customer communication network provides us a natural way to understand customers’ relationships. Traditional customer relationship management (CRM) methods focu...
With the continued advances of Web 2.0, health-centered Online Social Networks (OSNs) are emerging to provide knowledge and support for those interested in managing their own heal...
We present a framework for automatically summarizing social group activity over time. The problem is important in understanding large scale online social networks, which have dive...