CN113344724A - Insurance product data processing method and device, computer equipment and storage medium - Google Patents
Insurance product data processing method and device, computer equipment and storage medium Download PDFInfo
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- CN113344724A CN113344724A CN202110651903.6A CN202110651903A CN113344724A CN 113344724 A CN113344724 A CN 113344724A CN 202110651903 A CN202110651903 A CN 202110651903A CN 113344724 A CN113344724 A CN 113344724A
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Abstract
The invention relates to the technical field of data processing, and provides a data processing method, a device, computer equipment and a storage medium for dangerous products, wherein the method comprises the following steps: acquiring contracts of all current insurance products on sale; storing the content of the contract of each insurance product in a data mode according to a unified data structure to form a product database of the insurance product, and establishing a unified grading system of the insurance product in different dimensions, wherein the product database comprises a price database, a clause database and a company database; and ranking the insurance products and displaying ranking results according to the scores of the insurance products in at least one dimension. The invention can effectively solve the problem that users can not comprehensively and professionally acquire insurance products and the advantages and the disadvantages among different insurance products in the prior art.
Description
Technical Field
The invention belongs to the technical field of data processing, and particularly relates to a method and a device for processing insurance product data, computer equipment and a storage medium.
Background
The insurance products of each insurance company in the current insurance market are ten thousand, and in the face of such huge data, the user can't know these products when carrying out insurance product shopping, and to the contrast screening between the different insurance products, can't the quick key data information who obtains insurance products. In addition, due to the profession of insurance, when a general user faces such a large amount of data information, it is difficult to select an insurance product suitable for the user or a purchase selection cannot be made under the condition that the user knows the product information comprehensively.
In view of the existing situation, how to process the data of the insurance products enables a user to quickly and comprehensively obtain the data information of the insurance products sold in the market at present to help the user to make a purchase selection, which is a technical problem encountered when the insurance industry sells the insurance products on the internet at present.
Disclosure of Invention
In view of this, embodiments of the present invention provide an insurance product data processing method, an insurance product data processing apparatus, a computer device, and a storage medium, so as to solve the problem that a user cannot comprehensively and professionally acquire an insurance product and the quality between different insurance products in the prior art.
In a first aspect of the embodiments of the present invention, there is provided an insurance product data processing method, including: acquiring contracts of all current insurance products on sale; storing the content of the contract of each insurance product in a data mode according to a unified data structure to form a product database of the insurance product, and establishing a unified grading system of the insurance product in different dimensions, wherein the product database comprises a price database, a clause database and a company database; and ranking the insurance products and displaying ranking results according to the scores of the insurance products in at least one dimension.
In a second aspect of the embodiments of the present invention, there is provided an insurance product data processing apparatus, including: the acquisition module is configured to acquire all current contracts of the insurance products on sale; the quantification module is configured to perform data storage on the content of the contract of each insurance product according to a unified data structure, form a product database of the insurance product, and establish a unified scoring system of the insurance product in different dimensions, wherein the product database comprises a price database, a clause database and a company database; a ranking module configured to rank the insurance products and display ranking results according to the insurance product scores in at least one dimension.
In a third aspect of the embodiments of the present invention, there is provided a computer device including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the method as described above when executing the computer program.
In a fourth aspect of the embodiments of the present invention, a storage medium storing a computer program is provided, wherein the computer program is configured to implement the steps of the method as described above when executed by a processor.
Compared with the prior art, the embodiment of the invention has the following beneficial effects: the data storage is carried out on the contracts of different insurance products, the product database of the insurance products is established, the grading system aiming at the insurance products under the data of different dimensions is established, so that a user can check a plurality of insurance products sequenced according to the grading result according to the grading system, the user can acquire comprehensive insurance product data, and simultaneously can quantitatively screen massive insurance data, visually know the difference between different insurance products, and further an efficient decision tool is provided for the user to buy the insurance products.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed for the embodiments or the prior art descriptions will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method for processing insurance product data according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an insurance product data processing apparatus according to an embodiment of the present invention;
fig. 3 is a schematic diagram of a computer device according to an embodiment of the present invention.
Detailed Description
In the following description, for purposes of explanation and not limitation, specific details are set forth, such as particular system structures, techniques, etc. in order to provide a thorough understanding of the embodiments of the invention. It will be apparent, however, to one skilled in the art that the present invention may be practiced in other embodiments that depart from these specific details. In other instances, detailed descriptions of well-known systems, devices, circuits, and methods are omitted so as not to obscure the description of the present invention with unnecessary detail.
In order to explain the technical means of the present invention, the following description will be given by way of specific examples.
There are many insurance companies on the market, and the number of insurance products sold by each insurance company is also very large. According to incomplete statistics, the number of insurance products sold currently is thousands, and in the case of such a huge number of insurance products, it is impossible for ordinary users to screen the contracts or contents of the insurance products one by one, and at the same time, it is impossible for the ordinary users to know all the insurance products owned by insurance companies. Therefore, the current selection of insurance products by users is often to select the insurance products of the well-known insurance companies, which results in a very narrow selection range of the insurance products for the users and is also not beneficial to the sale of the insurance products of other insurance companies.
Fig. 1 is a flowchart of an insurance product data processing method according to an embodiment of the present invention.
As shown in FIG. 1, the insurance product data processing method includes steps S01-S03:
s01, acquiring all current contracts of the insurance products on sale;
s02, performing data storage on the contract content of each insurance product according to a unified data structure to form a product database of the insurance product, and establishing a unified grading system of the insurance product in different dimensions, wherein the product database comprises a price database, a clause database and a company database;
s03, ranking the insurance products and displaying ranking results according to the scores of the insurance products in at least one dimension.
According to the method, the contracts of different insurance products are subjected to data storage, the product database of the insurance products is established, and the grading system aiming at the insurance products under the data of different dimensions is established, so that a user can check a plurality of insurance products ordered according to the grading system, quantitative screening of massive insurance data is realized, and the user can select the insurance products with high cost performance conveniently.
Through research, the massive insurance products have the common point that the respective insurance contracts are format contracts although the respective insurance companies are different and the insurance contents have some differences. That is, those of different insurance companies have the same contract fields in the contracts of the insurance products, and the database is built by extracting these insurance clause fields, thereby realizing the quantification of the insurance products.
In some embodiments, in the step S02, the step of storing the content of the contract of each insurance product in a unified data structure includes steps S211 to S212:
s211, according to insurance clause fields in the contract of the insurance product, the clause content of the contract is disassembled into data of a plurality of insurance clause field dimensions.
In the insurance contract, the insurance clause field includes but is not limited to responsibility coverage, responsibility exemption, health notice number, responsibility innovation, renewal type, renewal age limit, whether renewal has a waiting period, whether renewal can be continued after claims, whether intelligent underwriting can be performed, and the like.
S212, the data storage is carried out on the contract content corresponding to the disassembled insurance clause field, and a clause database of the insurance product is formed.
For example, the responsibility coverage describes the guarantee range of the product, classifies the responsibility of the insurance product extracted from the contract, uniformly codes the responsibility into M product responsibilities, and classifies the M product responsibilities into N types of responsibility templates for storage.
As another example, the health advice is a description of the allowable insurance product insurance coverage, and the text of the health advice may be structured using an algorithmic model (e.g., a natural language processing model) to determine whether various medical conditions may be advised by health, i.e., whether a particular population may be insured.
By carrying out the classified storage on the insurance clause fields of the insurance products, the consumers can check the corresponding contents according to the corresponding data fields, thereby realizing the quick check and comparison of the same data fields of different insurance products.
In some embodiments, in the step S02, the step of storing the content of the contract of each insurance product in a unified data structure further includes steps S221 to S223:
s221, acquiring the company information of the insurance product.
The information range of the insurance company is very wide, and the insurance company can select the information according to the situation in practice. It should be understood that the selected company information should reflect the operation of the company and have a certain referential meaning to the purchase of insurance products.
S222, dividing the company information of the insurance product into data of a plurality of operation condition expression dimensions.
Wherein the company information includes, but is not limited to, one or more of premium size, time of fulfillment, affiliate, reimbursement capability, service rating, risk rating complaint rate. And quantizing the companies into a plurality of corresponding dimensions according to the information, and storing the quantized company information in a data mode.
Specifically, the premium scale refers to the original premium income of the insurance company in the last year, and the index for visually evaluating the whole business scale of the company; the branch institutions refer to the number of provincial branch institutions of the insurance company and the areas where the provincial branch institutions are located, and represent the coverage range of the insurance company in each province and city; the repayment capacity refers to the core repayment capacity sufficiency and comprehensive repayment capacity of the latest quarter of the insurance company, and visually evaluates the fund management level of the insurance company and the future benefits redemption risk; service rating, which means company service rating in the last year and is published by China bank insurance every year; the Risk rating refers to SARMRA scores (SARMRA is short for solution Aligned Risk Management Requirements and Assessment, Chinese paraphrases: insurance company repayment capability Risk Management Requirements and Assessment) in the last year, and is published by the China Bank insurance Authority, and is used for measuring the Risk Management level of insurance companies; the complaint rate refers to the complaint volume of ten thousand policy in the last half year, which is published by the China's silver insurance Cone and used for measuring the overall complaint situation of the insurance company by the user. The related operation information of the insurance company is public, so that the related operation information can be obtained through public ways.
S223, performing data storage on the data of the plurality of operation condition expression dimensions to form a company database of the insurance product.
The attractiveness of the user may also be affected by the fact that companies to which different insurance products belong. The embodiment subdivides the company data of the insurance products into a plurality of dimensions for quantization, namely, the operation condition of the insurance company is expressed according to different dimensions, and the operation condition is quantized into data for storage to form a company database.
In some embodiments, the scoring system comprises: price scoring, composite scoring, and weighted ranking of insurance products. Through these scoring systems, insurance products can be scored from different dimensions.
Specifically, for the price scoring in the scoring system, the method specifically includes steps S231-S234:
s231, obtaining the selling price information of the insurance product.
Wherein, for each insurance product, the selling price information of the insurance product can be obtained through a contract.
And S232, calculating the product cost of the insurance product.
Specifically, the cash flow for future expenditures for a policy (i.e., a policy insurance product) to the current point in time is the product cost of the policy. The calculation of the product cost can be simplified as follows:
di: representing the current discount rate of the discount from the future time t;
then, at time t in the future, the expected cash flow is:
APV (NP) represents the product cost of the policy to the insurer, given the above formula:
s233, calculating the value return rate of the insurance product according to the product cost and the selling price information;
for the cash flow discount model, the value return rate of the insurance product is NP/GP, NP is the product cost, and GP is the product selling price.
S234, determining the price score of the insurance according to the value return rate of the insurance product.
Specifically, a higher value return rate of an insurance product indicates that the cost performance of the insurance product is higher, and the corresponding price score is higher. The scoring criteria given according to the value return rate of the product may be set by a person according to specific conditions, and the present invention is not limited thereto. The price scoring can enable the user to directly know the cost performance of the insurance product through the data so as to make a choice, rather than just seeing the selling price information of the insurance product.
Specifically, for comprehensive scoring in a scoring system, the method specifically comprises steps S241 to S243:
s241, acquiring company information of at least one dimension of the insurance product.
The company information may be one or more of the above company databases.
S242, acquiring insurance clause information of at least one dimension of the insurance product.
The insurance clause information can be one or more clause data in the clause database.
S243, calculating the comprehensive score of the insurance product according to the company information and insurance clause information of at least one dimension of the insurance product.
Specifically, the calculation of the composite score may be a mathematical formula or a score model, and the invention does not limit the specific manner of the composite score. Specifically, company information and term data for one or more insurance products may be determined, respectively, and then different score levels may be classified according to the specific contents of the corresponding company information and term data. For example, the premium scale in the company information is taken as an example, and the range is divided into the ranges of 0-5 million, 5-10 million, 10-20 million, 20-50 million, 50-100 million, 100 + 200 million, 200 + 500 million, 500 + 1000 million and more than 1000 million according to the specific different premium income, and the different income ranges respectively correspond to the scores of 1, 2, 3, 4, 5, 6, 7, 8 and 10. And finally, summing according to the scores of the dimensional data to obtain the comprehensive score of the insurance product.
Specifically, for the weighted rating in the scoring system, the method specifically includes: obtaining a price score of the insurance product; acquiring a comprehensive score of the insurance product; and carrying out weighted summation on the price score and the comprehensive score to obtain a rating score of the insurance product. That is, the price score and the composite score obtained as described above are weighted and summed to obtain a rating score for the insurance product. This is an overall score for a product from which insurance products can be ranked together.
Under the scoring system, the individual scoring of insurance products in different data dimensions, such as the price scoring of the insurance products, can be realized. Further, a composite score, e.g., a composite score, of the insurance product can also be obtained. Even further, an integrity rating score for the insurance product may be obtained. The user can intuitively understand the differences between different insurance products through the scores to assist the user in making decisions.
Specifically, according to the scoring system, different insurance products can be correspondingly ranked and displayed according to different scores. For example, if there are A, B, C different insurance products with corresponding value return rates that are 7.0, 5.0, and 8.0 in that order, then depending on the value return rate, A, B, C different insurance products can be displayed in a high-to-low ranking, i.e., C → A → B.
It should be understood that, the sequence numbers of the steps in the foregoing embodiments do not imply an execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
The following are embodiments of the apparatus of the present invention that may be used to perform embodiments of the method of the present invention. For details which are not disclosed in the embodiments of the apparatus of the present invention, reference is made to the embodiments of the method of the present invention.
Fig. 2 is a schematic structural diagram of an insurance product data processing apparatus according to an embodiment of the present invention.
As shown in fig. 2, the insurance product data processing apparatus includes: an obtaining module 201 configured to obtain contracts of all currently sold insurance products; a quantification module 202, configured to perform data storage on the content of the contract of each insurance product according to a unified data structure, form a product database of the insurance product, and establish a unified scoring system of the insurance product in different dimensions, wherein the product database includes a price database, a clause database, and a company database; a ranking module 203 configured to rank the insurance products and display the ranking results according to the insurance products' scores in at least one dimension.
In some embodiments, the scoring system comprises: price scoring, composite scoring, and weighted ranking of insurance products.
In some embodiments, the quantization module 202 includes: a price scoring unit configured to acquire selling price information of the insurance product; calculating a product cost of the insurance product; calculating the value return rate of the insurance product according to the product cost and the selling price information; and determining the price score of the insurance according to the value return rate of the insurance product.
In some embodiments, the quantization module 202 includes: a comprehensive scoring unit configured to acquire company information of at least one dimension of an insurance product; acquiring insurance clause information of at least one dimension of an insurance product; and calculating the comprehensive score of the insurance product according to the company information and insurance clause information of at least one dimension of the insurance product.
In some embodiments, the quantization module 202 includes: a weighted rating unit configured to obtain a price score for the insurance product; acquiring a comprehensive score of the insurance product; and carrying out weighted summation on the price score and the comprehensive score to obtain a rating score of the insurance product.
In some embodiments, the quantization module 202 includes: the system comprises a clause data unit, a data processing unit and a data processing unit, wherein the clause data unit is configured to disassemble clause contents of a contract into data of a plurality of insurance clause field dimensions according to insurance clause fields in the contract of an insurance product; and performing data storage on the contract content corresponding to the disassembled insurance clause field to form a clause database of the insurance product.
In some embodiments, the quantization module 202 includes: a company data unit configured to acquire company information of the insurance product; dividing the company information of the insurance product into data of a plurality of operation condition expression dimensions; and performing data storage on the data of the plurality of operation condition expression dimensions to form a company database of the insurance product.
Fig. 3 is a schematic diagram of a computer device 3 provided by the embodiment of the present invention. As shown in fig. 3, the computer device 3 of this embodiment includes: a processor 301, a memory 302, and a computer program 303 stored in the memory 302 and operable on the processor 301. The steps in the various method embodiments described above are implemented when the processor 301 executes the computer program 303. Alternatively, the processor 301 implements the functions of the modules/units in the above-described device embodiments when executing the computer program 303.
Illustratively, the computer program 303 may be partitioned into one or more modules/units, which are stored in the memory 302 and executed by the processor 301 to implement the present invention. One or more modules/units may be a series of computer program instruction segments capable of performing specific functions, which are used to describe the execution of the computer program 303 in the computer device 3.
The computer device 3 may be a desktop computer, a notebook, a palm computer, a cloud server, or other computer devices. The computer device 3 may include, but is not limited to, a processor 301 and a memory 302. Those skilled in the art will appreciate that fig. 3 is merely an example of a computer device 3 and is not intended to limit the computer device 3 and may include more or fewer components than shown, or some of the components may be combined, or different components, e.g., the computer device may also include input output devices, network access devices, buses, etc.
The Processor 301 may be a Central Processing Unit (CPU), other general purpose Processor, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA) or other Programmable logic device, discrete Gate or transistor logic device, discrete hardware component, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
The storage 302 may be an internal storage unit of the computer device 3, for example, a hard disk or a memory of the computer device 3. The memory 302 may also be an external storage device of the computer device 3, such as a plug-in hard disk provided on the computer device 3, a Smart Media Card (SMC), a Secure Digital (SD) Card, a Flash memory Card (Flash Card), and the like. Further, the memory 302 may also include both an internal storage unit of the computer device 3 and an external storage device. The memory 302 is used for storing computer programs and other programs and data required by the computer device. The memory 302 may also be used to temporarily store data that has been output or is to be output.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is illustrated, and in practical applications, the above-mentioned function distribution may be performed by different functional units and modules according to needs, that is, the internal structure of the apparatus is divided into different functional units or modules, so as to perform all or part of the functions described above. Each functional unit and module in the embodiments may be integrated in one processing unit, or each unit may exist alone physically, or two or more units are integrated in one unit, and the integrated unit may be implemented in a form of hardware, or in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working processes of the units and modules in the system may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the above embodiments, the descriptions of the respective embodiments have respective emphasis, and reference may be made to the related descriptions of other embodiments for parts that are not described or illustrated in a certain embodiment.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware or combinations of computer software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
In the embodiments provided by the present invention, it should be understood that the disclosed apparatus/computer device and method may be implemented in other ways. For example, the above-described apparatus/computer device embodiments are merely illustrative, and for example, a division of modules or units, a division of logical functions only, an additional division may be made in actual implementation, multiple units or components may be combined or integrated with another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated modules/units, if implemented in the form of software functional units and sold or used as separate products, may be stored in a computer readable storage medium. Based on such understanding, all or part of the flow in the method of the embodiments described above can be realized by the present invention, and the computer program can be stored in a computer readable storage medium to instruct related hardware, and when the computer program is executed by a processor, the steps of the method embodiments described above can be realized. The computer program may comprise computer program code, which may be in the form of source code, object code, an executable file or some intermediate form, etc. The computer readable medium may include: any entity or device capable of carrying computer program code, recording medium, usb disk, removable hard disk, magnetic disk, optical disk, computer Memory, Read-Only Memory (ROM), Random Access Memory (RAM), electrical carrier wave signals, telecommunications signals, software distribution medium, and the like. It should be noted that the computer readable medium may contain suitable additions or additions that may be required in accordance with legislative and patent practices within the jurisdiction, for example, in some jurisdictions, computer readable media may not include electrical carrier signals or telecommunications signals in accordance with legislative and patent practices.
The above-mentioned embodiments are only used for illustrating the technical solutions of the present invention, and not for limiting the same; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; such modifications and substitutions do not substantially depart from the spirit and scope of the embodiments of the present invention, and are intended to be included within the scope of the present invention.
Claims (10)
1. An insurance product data processing method, characterized by comprising at least the following steps:
acquiring contracts of all current insurance products on sale;
storing the content of the contract of each insurance product in a data mode according to a unified data structure to form a product database of the insurance product, and establishing a unified grading system of the insurance product in different dimensions, wherein the product database comprises a price database, a clause database and a company database;
and ranking the insurance products and displaying ranking results according to the scores of the insurance products in at least one dimension.
2. The insurance product data processing method of claim 1, wherein the scoring system comprises: price scoring, composite scoring, and weighted ranking of insurance products.
3. The insurance product data processing method of claim 2, wherein said price scoring comprises:
acquiring the selling price information of the insurance product;
calculating a product cost of the insurance product;
calculating the value return rate of the insurance product according to the product cost and the selling price information;
and determining the price score of the insurance according to the value return rate of the insurance product.
4. The insurance product data processing method of claim 3, wherein the composite score includes:
acquiring company information of at least one dimension of an insurance product;
acquiring insurance clause information of at least one dimension of an insurance product;
and calculating the comprehensive score of the insurance product according to the company information and insurance clause information of at least one dimension of the insurance product.
5. The insurance product data processing method of claim 4, wherein the weighted rating includes:
obtaining a price score of the insurance product;
acquiring a comprehensive score of the insurance product;
and carrying out weighted summation on the price score and the comprehensive score to obtain a rating score of the insurance product.
6. The insurance product data processing method according to any one of claims 1 to 5, wherein the data storing of the contents of the contracts of the respective insurance products in a unified data structure comprises:
according to insurance clause fields in the contract of the insurance product, decomposing clause contents of the contract into data of a plurality of insurance clause field dimensions;
and performing data storage on the contract content corresponding to the disassembled insurance clause field to form a clause database of the insurance product.
7. The insurance product data processing method according to any one of claims 1 to 5, wherein the data storing of the contents of the contracts of the respective insurance products in a unified data structure comprises:
acquiring company information of the insurance product;
dividing the company information of the insurance product into data of a plurality of operation condition expression dimensions;
and performing data storage on the data of the plurality of operation condition expression dimensions to form a company database of the insurance product.
8. An insurance product data processing apparatus, comprising at least:
the acquisition module is configured to acquire all current contracts of the insurance products on sale;
the quantification module is configured to perform data storage on the content of the contract of each insurance product according to a unified data structure, form a product database of the insurance product, and establish a unified scoring system of the insurance product in different dimensions, wherein the product database comprises a price database, a clause database and a company database;
a ranking module configured to rank the insurance products and display ranking results according to the insurance product scores in at least one dimension.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when executing the computer program.
10. A storage medium storing a computer program, characterized in that the computer program realizes the steps of the method according to any one of claims 1 to 7 when executed by a processor.
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| CN109766344A (en) * | 2018-12-29 | 2019-05-17 | 重庆金链科技有限公司 | A kind of insurance product information storage method and its database |
| CN110473114A (en) * | 2019-08-13 | 2019-11-19 | 浙江大搜车软件技术有限公司 | Declaration form share calculation method, device, computer equipment and storage medium |
| CN110610432A (en) * | 2019-09-03 | 2019-12-24 | 北京量子保科技有限公司 | Insurance product evaluation method, insurance product evaluation device, insurance product evaluation medium and electronic equipment |
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