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- W2977773355 abstract "Taxi recommender systems have remarkably benefited the taxi business by providing a sequence of pick-up points to reduce the passenger waiting time or the taxi cruising time. In reality, taxi drivers may have their preferred destination regions to avoid traffic jams or to execute arranged pickup orders. However, no prior work managed to maximize the profit of drivers and satisfy the requirements for destination regions at the same time. To tackle this challenge, we propose a PROfit Maximization recommendatIon SystEm (PROMISE) based on the inter-regional probability. In this paper, we first divide the city map into sub-regions and compute the mobility probability of passengers among pick-up points and sub-regions, namely inter-regional mobile probability. Then, we propose an efficient Driving Route Suggestion (DRS) algorithm based on inter-regional probability, which can maximize the profit of taxi drivers with designated destination regions. The experimental results based on the taxi traces collected from Shanghai, China, validate the effectiveness of the proposed recommender system." @default.
- W2977773355 created "2019-10-10" @default.
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- W2977773355 date "2019-07-01" @default.
- W2977773355 modified "2023-09-23" @default.
- W2977773355 title "PROMISE: A Taxi Recommender System Based on Inter-regional Passenger Mobility" @default.
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- W2977773355 doi "https://doi.org/10.1109/ijcnn.2019.8852045" @default.
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