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In this paper, we present GEVR, the first Group Event Venue Recommendationsystem that incorporates mobility via individual location traces and contextinformation into a "social-based" group decision model to provide venuerecommendations for groups of mobile users. Our study leverages a real-worlddataset collected using the OutWithFriendz mobile app for group event planning,which contains 625 users and over 500 group events. We first develop a novel"social-based" group location prediction model, which adaptively appliesdifferent group decision strategies to groups with different socialrelationship strength to aggregate each group member's location preference, topredict where groups will meet. Evaluation results show that our predictionmodel not only outperforms commonly used and state-of-the-art group decisionstrategies with over 80% accuracy for predicting groups' final meeting locationclusters, but also provides promising qualities in cold-start scenarios. Wethen integrate our prediction model with the Foursquare Venue RecommendationAPI to construct an event venue recommendation framework for groups of mobileusers. Evaluation results show that GEVR outperforms the comparative models bya significant margin.

GEVR: An Event Venue Recommendation System for Groups of Mobile Users