Matching method, device, computer equipment and storage medium for service business

Abstract

The invention discloses a service business matching method, device, computer equipment and storage medium, wherein the method includes: acquiring historical billing information whose departure time is different from a preset time; determining the service provider for the same trip from the historical billing information end and service demand end; sending recommendation information for entering into a service relationship to the service provider end and / or service demand end of the same itinerary. The present invention finds the supply and demand sides of the same itinerary based on the historical billing information, and then promotes them to enter into a service relationship, thereby reducing the user's repeated sending of billing information for the same itinerary, so that the back-end server reduces the amount of data calculation in the corresponding time period , which reduces its computing overhead. At the same time, the service demand side does not need to publish the billing information of the same itinerary every time, which reduces its operation time and matching waiting time, and reduces the lag of the service.

Description

technical field [0001] The present invention relates to the technical field of data processing, in particular to a service business matching method, device, computer equipment and storage medium. Background technique [0002] With the advancement of technology and the rise of the Internet, great convenience has been brought to users' lives, for example, more convenient services are provided for people's travel and shopping. With the gradual development of the sharing economy and distribution logistics in recent years, various shared taxi services, takeaway services, and errand services have emerged. Among them, shared taxi travel has penetrated into people's lives, which not only brings convenience to everyone's life, but also reduces the cost of travel. Then, the inventor found that users (including the provider and the demander) usually have a large number of identical itineraries in the process of using the above-mentioned services, while the existing shared taxi service...

AI Technical Summary

Problems solved by technology

When the number of orders is large in the same time period, the back-end server needs to calculate the matching party corresponding to each order in time, which causes a huge calculation overhead for the back-end server. On the other hand, for frequently used service business The demand side and the provider side (such as passengers or drivers in the ride), also need to match the service every time for the repeated itinerary, there is a lag in the service, which affects the user experience

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