A service delivery assistance method, device and electronic equipment

A business and user technology, applied in the field of deep learning, can solve problems such as inability to give accurate understanding, limit business delivery decisions, etc.

Active Publication Date: 2022-03-04
ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, it is impossible to give an accurate understanding of some deeper information, such as the impact of changes in user portrait characteristics over time on the marketing effect of business delivery, which limits business delivery decisions

Method used

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  • A service delivery assistance method, device and electronic equipment
  • A service delivery assistance method, device and electronic equipment
  • A service delivery assistance method, device and electronic equipment

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Embodiment Construction

[0025] In order to enable those skilled in the art to better understand the technical solutions in this specification, the technical solutions in the embodiments of this specification will be clearly and completely described below in conjunction with the drawings in the embodiments of this specification. Obviously, the described The embodiments are only some of the embodiments in this specification, not all of them. Based on the embodiments in this specification, all other embodiments obtained by persons of ordinary skill in the art without creative efforts shall fall within the protection scope of this specification.

[0026] As mentioned above, at this stage, business deployment mainly relies on the prior knowledge of business operators. In this way, because the analysis dimension is relatively simple, business operators generally only dig out some relatively simple user portrait features that are valuable to the business. However, with the evolution of time, the characteri...

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Abstract

The embodiments of this specification provide a service placement assistance method, device, and electronic equipment. Wherein, the method includes: based on the dimension combination of user portrait features matched by the target business, performing user portrait feature extraction on the sample users of the target business, and obtaining the user portrait feature combinations of the sample users at multiple time nodes, wherein the The user portrait features of the sample user corresponding to the target user portrait feature dimension are used to represent the classification value of the sample user under the target user portrait feature dimension. Based on the user portrait feature combination of the sample user at each time node and the service delivery effect classification label of the sample user for the target service at each time node, the explanation model is trained to obtain the user portrait features of the explanation model Explanatory data on the impact of portfolio evolution over time on business delivery effects.

Description

technical field [0001] This document relates to the field of deep learning technology, and in particular to an auxiliary method, device and electronic equipment for service delivery. Background technique [0002] At this stage, business delivery mainly relies on the prior knowledge of business operators. In this way, due to the limitation of manpower, business operators generally only dig out some relatively simple user portrait features that are valuable to the business. However, it is impossible to give an accurate understanding of some deeper information, such as the impact of changes in user portrait characteristics over time on the marketing effect of business delivery, which limits business delivery decisions. [0003] In view of this, how to intelligently analyze the impact of user portrait characteristics on the effect of service delivery over time to provide decision support for service delivery is a technical problem that needs to be solved urgently. Contents of...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/28G06F40/30G06K9/62G06Q30/02
CPCG06F16/2465G06F16/285G06Q30/0201G06Q30/0202G06F18/22
Inventor 刘磊彭业飞
Owner ALIPAY (HANGZHOU) INFORMATION TECH CO LTD
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