In this demo, we showcase a novel mobile application that offers various ways to present recommendations to users. While the majority of the existing applications in the tourism domain either focus on event recommendation or event browsing, our mobile application acknowledges the fact that users have different interests at different times and for different occasions. Consequently, while suggested events are filtered and ranked by proximity and date ranges to ensure they suit users' needs, each user is allowed to choose how to access these suggestions in one of four ways: search, categorized browsing, following, and traditional recommendations.
This document was originally published in RecTour 2016 - Proceedings of the Workshop on Recommenders in Tourism, co-located with 10th ACM Conference on Recommender Systems, RecSys 2016 by CEUR-WS. Copyright restrictions may apply.
MacLachlan, Sean; Donohue, Stacey; Dragovic, Nevena; and Pera, Maria Soledad. (2016). "“One Size Doesn’t Fit All": Helping Users Find Events from Multiple Perspectives". RecTour 2016 - Proceedings of the Workshop on Recommenders in Tourism, co-located with 10th ACM Conference on Recommender Systems, RecSys 2016, 168549-50.