TaxiHailer: A Situation-Specific Taxi Pick-Up Points Recommendation System

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• 作者：Leyi Song (22)
  Chengyu Wang (22)
  Xiaoyi Duan (22)
  Bing Xiao (22)
  Xiao Liu (22)
  Rong Zhang (22)
  Xiaofeng He (22)
  Xueqing Gong (22)
  
• 关键词：location ; based service ; taxi ; recommendation system
• 刊名：Lecture Notes in Computer Science
• 出版年：2014
• 出版时间：2014
• 年：2014
• 卷：8422
• 期：1
• 页码：523-526
• 参考文献：1. Ge, Y., Xiong, H., Tuzhilin, A., Xiao, K., Gruteser, M., Pazzani, M.J.: An energy-efficient mobile recommender system. In: KDD, pp. 899鈥?08 (2010)
  2. Zheng, X., Liang, X., Xu, K.: Where to wait for a taxi? In: UrbComp, pp. 149鈥?56 (2012)
  3. Yuan, N.J., Zheng, Y., Zhang, L., Xie, X.: T-finder: A recommender system for finding passengers and vacant taxis. IEEE Trans. Knowl. Data Eng.聽25(10), 2390鈥?403 (2013) CrossRef
  
• 作者单位：Leyi Song (22)
  Chengyu Wang (22)
  Xiaoyi Duan (22)
  Bing Xiao (22)
  Xiao Liu (22)
  Rong Zhang (22)
  Xiaofeng He (22)
  Xueqing Gong (22)
  
  22. Institute for Data Science and Engineering, Software Engineering Institute, East China Normal University, Shanghai, China
  
• ISSN：1611-3349

文摘

This demonstration presents TaxiHailer, a situation-specific recommendation system for passengers who are eager to find a taxi. Given a query with departure point, destination and time, it recommends pick-up points within a specified distance and ranked by potential waiting time. Unlike existing works, we consider three sets of features to build regression models, as well as Poisson process models for road segment clusters. We evaluate and choose the most proper models for each cluster under different situations. Also, TaxiHailer gives destination-aware recommendations for pick-up points with driving directions. We evaluate our recommendation results based on real GPS datasets.