This paper presents a user recommendation system that recommends to a user new friends having similar interests. We automatically discover users’ interests using Latent Dirichle...
: Along with the emergence of the Web 2.0, E-learning more often takes place in open environments such as wikis, blogs, and resource sharing platforms. Nowadays, many companies dep...
Rafael Schirru, Stephan Baumann, Martin Memmel, An...
In this paper we develop a recommendation framework to connect image content with communities in online social media. The problem is important because users are looking for useful...
Munmun De Choudhury, Hari Sundaram, Yu-Ru Lin, Aji...
As the social interaction of Internet users increases, so does the need to effectively rank social media. We study the challenges of personalized ranking of blog posts. Web search...
Hassan Sayyadi, John Edmonds, Vagelis Hristidis, L...
Given the rapid growth of participatory media content such as blogs, there is a need to design personalized recommender systems to recommend only useful content to users. We belie...