UserDEV

International audience; The increasing availability of user data constitutes new opportunities in various applications ranging from behavioral analytics to recommendations. A common way of analyzing user data is through "user group analytics" whose purpose is to breakdown users into groups to gain a more focused understanding of their collective behavior. The process consists of group discovery, group exploration, and group visualization. To date, user group analyt-ics is done using separate tools which makes it fragmented and burdensome for analysts. In this paper, we describe UserDEV, a full-fledged user group analytics pipeline which combines discovery, exploration, and visualization of user groups, in a fully-connected fashion. UserDEV contributes a star-like architecture as well as a common data exchange model to tighten connections between the analytics components. We provide a realistic use case to show how UserDEV helps analysts perform analytical tasks on user groups. While we report a preliminary user study, we also discuss opportunities for an end-to-end evaluation of a group analytics framework.