Enhancing Social Events with Smart Collaborative Environments

Data obtained from the user interactions, especially in professional events, can be useful to build user profiles, as well as clusters and groups of interest, or even a dedicated Social Network (SN). These SNs enable forecasting the users' interest, further increasing the capability to plan and execute future events, or communication activities. In this work we describe EventosUA, an Information and Communications Technology (ICT) platform combining event, session and participant management, with profiling and indoor location techniques aiming to promote richer interaction, and allowing higher refinement in events organised in a academic and professional context. We also present the initial work on a novel Machine Learning (ML) to build a truly connected SN, derived from user interactions.