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Sixteenth ACM Conference on Recommender Systems
One of the most significant map services in navigation applications is route recommendation. However, most route recommendation systems only recommend trips based on time and distance, impacting quality-of-experience and route selection. This paper introduces a novel framework, namely MARRS, a multi-objective route recommendation system based on heterogeneous urban sensing open data (i.e., crime, accident, traffic flow, road network, meteorological, calendar event, and point of interestdoi:10.1145/3523227.3546787 fatcat:wcjnmatusjaolcmfeyz3nvzyam