Dynamic Pricing in Spatial Crowdsourcing A Matching-Based Approach Lei Chen 3, Bowen Du, Jieping Yer x Yongxin Tong, Libin Wang, Zimu zhou 1 Beihang University Z ETH Zurich 3 The Hong Kong University of Science and Technology 4 DiDi Chuxing Inc ⑦其章航家[Enh西删 DiDi More than a jounsy
Dynamic Pricing in Spatial Crowdsourcing: A Matching-Based Approach Yongxin Tong1 , Libin Wang1 , Zimu Zhou2 , Lei Chen3 , Bowen Du1 , Jieping Ye4 1 Beihang University 2 ETH Zurich 3 The Hong Kong University of Science and Technology 4 DiDi Chuxing Inc
Outline o Background and Motivation ● Problem statement ° Our so| utions ● EXperiments Conclusion
Outline ⚫ Background and Motivation ⚫ Problem Statement ⚫ Our Solutions ⚫ Experiments ⚫ Conclusion
Spatial Crowdsourcing A new way of organizing the crowd(mobile Internet workers) to do spatial tasks Representatives O DiDi uber Gigwall GRUBHUB Y Tong, L Chen, and C Shahabi Spatial Crowdsourcing: Challenges, Techniques, and Applications. (tutorial) VLDB 2017
⚫ A new way of organizing the crowd (mobile Internet workers) to do spatial tasks ⚫ Representatives Spatial Crowdsourcing Y. Tong, L. Chen, and C. Shahabi. Spatial Crowdsourcing: Challenges, Techniques, and Applications. (tutorial) VLDB 2017
Spatial crowdsourcing: Workflow Confirm Request Express Luxe Premia Requester (1) Request (3 )Decision e Didi Chux It serves as an important step Board after minls Patm"意(2) Pricing (4)Assignment Beihang U niversity Comfort Worker approx. 51. 9cNY Request a premier car
Spatial Crowdsourcing: Workflow Requester Platform Worker (1) Request (2) Pricing (3) Decision (4) Assignment It serves as an important step
Outline e background and motivation ● Problem statement ° Our so| utions ● EXperiments Conclusion
Outline ⚫ Background and Motivation ⚫ Problem Statement ⚫ Our Solutions ⚫ Experiments ⚫ Conclusion