Content
The vast majority of the content is about computer science, specifically about data mining, semantic web, machine learning, and complex systems coming from conferences around the world such as ICML, NIPS, ECML PKDD, SIGKDD. The content is mainly Ph.D. level and peer reviewed by a conference editorial board.
It also includes content from the "Video Journal of Machine Learning Abstracts" which are being connected to the PASCAL NoE project and Planetdata on big data.
It hosts also additional free content from the open learning incentives, such as MIT OpenCourseWare.
It serves as a main data source for the STReP's "transLectures" project the goal of which is to develop automatic large scale machine translations.