Spatio-temporal data mining-based online booked car client credit investigation method

A spatio-temporal data, online car-hailing technology, applied in data processing applications, instruments, commerce, etc., can solve problems such as emptying of online car-hailing resources, affecting customers' car-hailing, waste, etc., and achieve the effect of accurate credit rating

Active Publication Date: 2017-05-31
TSINGHUA UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, online car-hailing customers are extensive and complex, and it is difficult for the online car-hailing system platform to collect detailed personal information of customers, so that it is impossible to evaluate the credit status of customers. If users with poor credit maliciously and frequently book online car-hailing vehicles, It is easy to cause emptying and waste of online car-hailing resources, and it will also affect customers with good credit for car-hailing

Method used

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  • Spatio-temporal data mining-based online booked car client credit investigation method
  • Spatio-temporal data mining-based online booked car client credit investigation method

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Embodiment

[0041] Please refer to figure 1 and figure 2 , Embodiment 1 of the present invention is: a credit investigation method for online car-hailing customers based on spatio-temporal data mining, including the following content:

[0042] First, extract the personal information and historical order information of online car-hailing customers. Extract the personal information of all online car-hailing customers and historical order information of car-hailing from the database of the online car-hailing platform. The personal information includes the customer ID, and the historical order information includes orders with successful transactions, orders canceled after booking, Default order.

[0043] Preprocess the customer's historical travel data. Taking the ID of each customer as a unit, obtain the order status information of all reserved orders of the customer, count the number of orders with successful transactions, the number of orders canceled after reservations, and the number...

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Abstract

The invention discloses a spatio-temporal data mining-based online booked car client credit investigation method. By extracting historical order information of clients, performing credit history analysis, fulfilling ability assessment, identity trait description, preference mode analysis and personal connection graph determination on the clients, and performing more accurate credit rating on the clients, finite online booked car resources can be matched to the clients with relatively high credit ratings.

Description

technical field [0001] The present invention relates to the technical field of credit information processing, in particular to a credit investigation method for online car-hailing customers based on spatio-temporal data mining. Background technique [0002] The emergence of online taxi booking (referred to as online car-hailing) has well met the diverse travel needs of the public, and at the same time promoted the integration and development of the taxi industry and the Internet industry. However, online car-hailing customers are extensive and complex, and it is difficult for the online car-hailing system platform to collect detailed personal information of customers, so that it is impossible to evaluate the credit status of customers. If users with poor credit maliciously and frequently book online car-hailing vehicles, It is easy to cause emptying and waste of online car-hailing resources, and it will also affect customers with good credit to make car-hailing. Contents o...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/02G06Q30/06G06Q50/30
CPCG06Q10/02G06Q30/0609G06Q50/30
Inventor 张博李乐飞廖律超吴建平
Owner TSINGHUA UNIV
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