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Model training method, consultation recommendation method and device and electronic equipment

A model training and model technology, applied in the field of data processing, can solve problems such as not being able to match user needs well, and achieve the effects of reducing user data loss, fast training, and time-consuming

Pending Publication Date: 2020-06-16
BEIJING DIDI INFINITY TECH & DEV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In order to provide better service, there will be some intelligent recommendation models in each business line to better serve users; however, the existing intelligent recommendation models in each business line are independent of each other, resulting in the inability to well match the needs of users

Method used

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  • Model training method, consultation recommendation method and device and electronic equipment
  • Model training method, consultation recommendation method and device and electronic equipment
  • Model training method, consultation recommendation method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0081] First, an electronic device capable of executing each step in the model training method and the consultation and recommendation method provided by the embodiment of the present application is provided.

[0082] figure 1 A schematic diagram showing exemplary hardware and software components of the electronic device 100 according to some embodiments of the application.

[0083] The electronic device 100 can be a general-purpose computer or a special-purpose computer, both of which can be used to implement the model training method or the consultation and recommendation method of the present application. Although only one computer is shown in the present application, for the sake of convenience, the functions described in the present application can be implemented in a distributed manner on multiple similar platforms to balance the processing load.

[0084] For example, the electronic device 100 may include a network port 110 connected to a network, one or more processors...

Embodiment 2

[0087] This embodiment provides a model training method. figure 2 A flow chart of a model training method in an embodiment of the present application is shown. next to figure 2 The flow of the shown model training method is described in detail.

[0088] Step S201, acquiring user data corresponding to at least two business lines.

[0089] Wherein, the above-mentioned business line may be a service module of the online booking service. The above-mentioned online hailing services may be online car hailing services, delivery services, etc.

[0090] In the field of online car-hailing services, the above-mentioned at least two business lines may include: express car business, private car business, ride-hailing business, driver service, luxury car business, car driver service, etc.

[0091] In the field of food delivery services, the above-mentioned at least two business lines may include: food delivery service, food delivery service, errand service, express delivery, express d...

Embodiment 3

[0146] This embodiment provides a method for consulting and recommending. Figure 4 A flow chart of a model training method in an embodiment of the present application is shown. next to Figure 4 The flow of the shown model training method is described in detail.

[0147] In step S301, the data of the user to be recommended is input into the above-mentioned consultation and recommendation model for calculation, and the recommended content is obtained.

[0148] Step S302, sending the recommended content to the current consultation terminal.

[0149] The aforementioned current consultation terminal may be a service requester terminal or a service provider terminal.

[0150] Further, if step S301 is executed in the above-mentioned current consultation terminal, the above-mentioned step S302 may be omitted.

[0151] Through the consultation and recommendation method in this embodiment, identification can be made according to the current situation of the user, so as to match th...

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Abstract

The invention provides a model training method, a consultation recommendation method and device and electronic equipment. The model training method comprises the steps: obtaining user data corresponding to at least two business lines, wherein the business lines are a service module of online appointment service; marking the user data to obtain use data; and inputting the use data into a multi-taskmodel for training to obtain a consultation recommendation model, the multi-task model comprising task modules corresponding to the at least two business lines.

Description

technical field [0001] The present application relates to the technical field of data processing, and specifically relates to a model training method, a consultation and recommendation method, a device, and an electronic device. Background technique [0002] All kinds of applications may provide multiple business lines, and each business line has independent work logic, and users can choose business services under different business lines according to their needs. For better service, there will be some intelligent recommendation models under each business line to better serve users; however, the existing intelligent recommendation models under each business line are independent of each other, which cannot well match the needs of users. Contents of the invention [0003] In view of this, the purpose of the embodiments of the present application is to provide a model training method, a consultation and recommendation method, a device, and an electronic device, which can real...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/9535G06Q30/06
CPCG06Q30/0631
Inventor 王奇文
Owner BEIJING DIDI INFINITY TECH & DEV
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