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Title:
METHOD FOR MATCHING RIDE-SHARING TRAVELLERS BASED ON NETWORK REPRESENTATION LEARNING
Document Type and Number:
WIPO Patent Application WO/2020/199524
Kind Code:
A1
Abstract:
A method for matching ride-sharing travellers based on network representation learning: on the basis of the relationship between the start point and end point of a passenger and the original route of a driver, dividing ride sharing into two types: the first type is end point ride-sharing and the other type is en route ride-sharing; the passenger needs to walk from the start point to the boarding point to implement ride-sharing, and then walk from the drop off point to the target destination, the ride-sharing route trajectory being part of the passenger trajectory; constructing a heterogeneous ride-sharing network, and using a network representation learning model to perform representation learning on the heterogeneous ride-sharing network to obtain a low-dimensional vector representation of user nodes; calculating the cosine similarity between driver and passenger nodes, sorting the calculated cosine similarity values from high to low, returning the top k passengers having the highest similarity value to the driver as passengers that can implement ride sharing, and implementing ride sharing. The present ride-sharing matching method is more reliable than traditional methods that only use distance recommendations, has intuitive semantic comprehensiveness, and can accurately discover potential ride-sharing users, providing same with a faster and more convenient service.

Inventors:
TANG LEI (CN)
ZHAO YALING (CN)
LIU ZIHANG (CN)
DUAN ZONGTAO (CN)
Application Number:
PCT/CN2019/107011
Publication Date:
October 08, 2020
Filing Date:
September 20, 2019
Export Citation:
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Assignee:
CHANGAN UNIV (CN)
International Classes:
G06Q50/30; G06Q30/06
Domestic Patent References:
WO2009007965A22009-01-15
Foreign References:
CN110009455A2019-07-12
CN109544900A2019-03-29
CN105631531A2016-06-01
Other References:
CHEN, JUN: "Travel Behavior Analysis and Similarity Measurement Based on Heterogeneous Information Network", CHINA MASTER'S THESES FULL-TEXT DATABASE, ENGINEERING SCIENCE & TECHNOLOGY II, 15 January 2019 (2019-01-15), ISSN: 1674-0246, DOI: 20191220140750Y
Attorney, Agent or Firm:
XI'AN TONG DA PATENT AGENCY CO., LTD. (CN)
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