We present GroupLink, a group event recommendation system that suggests events to promote group members’ face-to-face interactions in non-work settings. GroupLink addresses the challenge of finding events that appeal to a collection of individuals with diverse interests. The system mitigates the difficulties of identifying and tracking group members’ preferences through analyzing and learning preferences from individual member’s personal digital traces, including social media, email, and online streaming histories. It is a web-based service that can be easily accessed using diverse devices, and is particularly suited for enhancing interpersonal interactions in CSCW. Author Keywords Recommender Systems, Personal Digital Traces, Immersive Recommendation, Group Event Recommendation ACM Classification Keywords H.4.m [Information System Applications]: Miscellaneous