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Method and system for identifying an abnormal online taxi reservation order

An identification method and technology for online car-hailing, applied in business, instrumentation, data processing applications, etc., can solve problems such as large limitations, wrongful killing of real users, and wrongful killings, to improve the accuracy rate, improve user experience, and avoid normal taxis. effect of behavior

Pending Publication Date: 2017-04-05
流量海科技成都有限公司
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AI Technical Summary

Problems solved by technology

[0003] Due to the limited data dimension of the car industry and the various behaviors of falsifying data in the market, the car industry only relies on its own database to detect the behavior of swiping, which has relatively large limitations and cannot accurately identify the behavior of swiping. More importantly, there may also be more serious wrongful killings and normal taxi-hailing behaviors of real users

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  • Method and system for identifying an abnormal online taxi reservation order
  • Method and system for identifying an abnormal online taxi reservation order

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Embodiment Construction

[0034] All features disclosed in this specification, or steps in all methods or processes disclosed, may be combined in any manner, except for mutually exclusive features and / or steps.

[0035] Any feature disclosed in this specification (including any appended claims, abstract), unless otherwise stated, may be replaced by alternative features that are equivalent or serve a similar purpose. That is, unless expressly stated otherwise, each feature is one example only of a series of equivalent or similar features.

[0036] It should be noted that the taxi-hailing platform database in the present invention generally refers to the database built by the online car-hailing travel company; the cross-industry database in the present invention includes the operator database and social platform database, etc., and the cross-industry database It is the database of non-network car-hailing travel companies, and it is a database with relevant information about the target driver or target pa...

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PUM

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Abstract

The invention discloses a method and system for identifying an abnormal online taxi reservation order. While detecting suspicious false orders by using internal taxi data, the method and system obtain supplementary detection data of a driver and / or a passenger for detecting whether there is an abnormal order from a cross-industry database based on cross-industry data, perform second judgment on the order data from the one or more dimensions according to the supplementary data, identifies abnormal order data, and classifies the risks of the order data based on a plurality of dimensions. The method and system recognize the false orders, increase the correctness of recognizing the false orders, avoid the erroneous judgment of the normal taxi behaviors as much as possible and preserve good user experience.

Description

technical field [0001] The invention relates to the field of online car-hailing order identification, in particular to a method for identifying abnormal online car-hailing orders and a system for identifying abnormal online car-hailing orders. Background technique [0002] In recent years, due to the convenience and practicality of online car-hailing, the scale of online car-hailing has expanded rapidly, but more and more problems have also been exposed. In the O2O field, companies that are staking their land at this stage are launching various "discounts" and "subsidies" in order to compete for market share. Many ride-hailing platforms rely on the high profile of burning tens of millions of dollars a day, while harvesting users and increasing orders. , There are also operational risks such as a large number of users swiping orders, forgery, and arbitrage. The car industry has become the most fertile ground for arbitrageurs in the past two years. [0003] Due to the limite...

Claims

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Application Information

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IPC IPC(8): G06Q30/02G06Q30/00
CPCG06Q30/0185G06Q30/0225
Inventor 廖晓维雷娟刘宇翔李新群
Owner 流量海科技成都有限公司
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