Tax service differentiation method and device based on deep learning
A deep learning and differentiated technology, applied in the field of policy interpretation, can solve problems such as the inability to achieve accurate access, the inability to achieve accurate access with general solutions, and the difficulty of integrating multiple data sources.
Pending Publication Date: 2021-03-30
上海永骁智能技术有限公司
View PDF0 Cites 0 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0004] 1 Traditional government processes are not unified
[0005] 2 Traditional government IT integration is difficult
[0006] 3Difficult to integrate multiple data sources
[0007] 4 General solutions cannot achieve precise touch
[0008] 5 Precise touch cannot guide, supervise and promote
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment
[0076] Example: such as Figure 1-3 Shown: A method for differentiation of tax services based on deep learning, including the following steps:
[0077] S1 Taxpayers conduct business visits, investigations and consultations through PCs, webpages, mobile terminals, terminals, etc.;
[0078] S2 Obtain portrait services through information such as taxpayer request handling-real-name registration;
[0079] S3 portrait service to obtain taxpayer portraits and service portraits;
[0080] S4 Input taxpayer portraits and service portraits into the model to predict which businesses taxpayers care about, which taxpayers need to handle, and which taxpayers do not need to operate;
[0081] S5 obtains the model calculation result;
[0082] S6 combines the model calculation results and business processing to push taxpayers what needs to be done, what needs to be done, and what taxpayers care about, while the business that does not need to be handled or cannot be operated at present is not...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention relates to the technical field of policy interpretation, and discloses a tax service differentiation method based on deep learning. The method comprises the following steps that S1, a taxpayer carries out business access check consultation in a mode of a PC, a page, a mobile terminal and a terminal; S2, the taxpayer requests to handle real-name registration and other information to obtain portrait service; S3, the portrait service obtains a taxpayer portrait and a service portrait; S4, the taxpayer portraits and the service portraits are input into a model for prediction, and itis predicted which businesses are concerned by taxpayers, which taxpayers need to handle and which taxpayers do not need to operate; and S5, a model calculation result and the like are obtained. According to the system and the method, the problems that the traditional government process is not unified, the traditional government IT integration is difficult, the multi-data source integration is difficult, the general solution cannot complete accurate touch, and the accurate touch cannot guide, supervise, promote and the like are solved.
Description
technical field [0001] The invention relates to the technical field of policy interpretation, in particular to a method and device for differentiation of taxation services based on deep learning. Background technique [0002] Service differentiation is an economic term. [0003] The existing tax service differentiation has the following problems: [0004] 1 Traditional government processes are not unified [0005] 2 Traditional government IT integration is difficult [0006] 3Difficult to integrate multiple data sources [0007] 4 General solutions cannot achieve precise touch [0008] 5 Precise touch cannot guide, supervise and promote. To this end, we propose a method and device for tax service differentiation based on deep learning. Contents of the invention [0009] (1) Solved technical problems [0010] Aiming at the deficiencies of the prior art, the present invention provides a tax service differentiation method and device based on deep learning, which solves...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More IPC IPC(8): G06Q40/00G06Q10/04G06F16/25G06N3/04G06N3/08
CPCG06Q40/123G06Q10/04G06F16/254G06N3/049G06N3/08G06N3/045
Inventor 胡乃庄邓志勇黄金
Owner 上海永骁智能技术有限公司