Events published on ticketing platforms are short-term. The announcements are often available only for a few days. Classical collaborative style recommender systems suffer from the so-called cold start problem, i.e. many ratings (including implicit ratings such as page views or purchases) must be collected before the item can be recommended to other customers. In this project we investigate techniques to mitigate the cold start problem with special focus on the event industry.