CN112182402A - Insurance information recommendation method and device, computer equipment and storage medium - Google Patents
Insurance information recommendation method and device, computer equipment and storage medium Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 44
- 238000004590 computer program Methods 0.000 claims description 15
- 230000000694 effects Effects 0.000 abstract description 8
- 230000010365 information processing Effects 0.000 abstract description 2
- 230000008569 process Effects 0.000 description 14
- 238000000586 desensitisation Methods 0.000 description 7
- 238000010586 diagram Methods 0.000 description 5
- 230000008901 benefit Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012163 sequencing technique Methods 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
Abstract
The invention discloses an insurance information recommendation method and device, computer equipment and a storage medium, and belongs to the technical field of information processing. The method comprises the following steps: determining insurance products recommended to the target user according to the tag data of the target user; inquiring whether claim cases of similar users of the target user exist in the plurality of claim cases of the insurance product; when a claim case exists, generating a claim case according to case information of the claim case; the claim case is added to the product information of the insurance product for recommendation to the target user. The invention can improve the willingness of the target user to purchase the insurance product, thereby improving the recommendation effect of the insurance product and the recommendation success rate of the insurance product.
Description
Technical Field
The invention belongs to the technical field of information processing, and particularly relates to an insurance information recommendation method and device, computer equipment and a storage medium.
Background
At present, with the improvement of living standard of people, more and more people pay attention to security service products, and the purchase of insurance is one of the first-selected security services. With the activity of the insurance business market, a plurality of online insurance recommendation systems are provided, and users can use the internet to provide demands and recommend corresponding insurance products.
In the process of implementing the invention, the inventor finds that in the prior art, when the insurance product is recommended to the user, the product details of the recommended insurance product are still singly displayed to the user, so that the recommendation effect of the insurance product is poor, and the recommendation success rate of the insurance product is reduced.
Disclosure of Invention
The invention aims to at least solve one of the technical problems in the prior art or the related art, and provides an insurance information recommendation method, an insurance information recommendation device, computer equipment and a storage medium to improve the insurance product recommendation effect and the success rate of insurance product recommendation.
The embodiment of the invention provides the following specific technical scheme:
in a first aspect, the present invention provides an insurance information recommendation method, including:
determining insurance products recommended to a target user according to the tag data of the target user;
querying whether a claim case of a similar user of the target user exists in a plurality of claim cases of the insurance product;
when the claim case exists, generating a claim case according to the case information of the claim case;
and adding the claim case into the product information of the insurance product for recommendation to the target user.
Further, the determining an insurance product recommended to the target user according to the tag data of the target user includes:
and matching the tag data of the target user with each insurance product in an insurance product database, and determining the matched insurance product as the insurance product recommended to the target user.
Further, the querying whether there are claim cases of similar users of the target user among the plurality of claim cases of the insurance product includes:
determining similar users of the target user according to the similarity between the tag data of the target user and the tag data of each insured user;
and judging whether the similar user is an insured user, if so, inquiring whether the claim case of the similar user exists in a plurality of claim cases of the insurance product.
Further, when there is the claim case, generating a claim case according to the case information of the claim case, including:
desensitizing the case information of the claim case, and generating the claim case according to the desensitized case information of the claim case.
Further, the method further comprises:
and when the similar user or the claim settlement case of the similar user does not exist, adding the preset claim settlement case of the insurance product into the product information of the insurance product to recommend the preset claim settlement case to the target user.
In a second aspect, the present invention provides an insurance information recommendation apparatus, including:
the determining module is used for determining insurance products recommended to the target user according to the label data of the target user;
the query module is used for querying whether claim cases of similar users of the target user exist in the plurality of claim cases of the insurance product;
the generating module is used for generating a claim case according to case information of the claim case when the claim case exists;
and the recommending module is used for adding the claim settlement cases into the product information of the insurance product so as to recommend the claim settlement cases to the target user.
Further, the determining module is specifically configured to:
and matching the tag data of the target user with each insurance product in an insurance product database, and determining the matched insurance product as the insurance product recommended to the target user.
Further, the query module is specifically configured to:
determining similar users of the target user according to the similarity between the tag data of the target user and the tag data of each insured user;
and judging whether the similar user is an insured user, if so, inquiring whether the claim case of the similar user exists in a plurality of claim cases of the insurance product.
Further, the generating module is specifically configured to:
desensitizing the case information of the claim case, and generating the claim case according to the desensitized case information of the claim case.
Further, the recommendation module is specifically further configured to:
and when the similar user or the claim settlement case of the similar user does not exist, adding the preset claim settlement case of the insurance product into the product information of the insurance product to recommend the preset claim settlement case to the target user.
In a third aspect, the present invention provides a computer device, comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the following operation steps when executing the computer program:
determining insurance products recommended to a target user according to the tag data of the target user;
querying whether a claim case of a similar user of the target user exists in a plurality of claim cases of the insurance product;
when the claim case exists, generating a claim case according to the case information of the claim case;
and adding the claim case into the product information of the insurance product for recommendation to the target user.
In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program which, when executed by a processor, performs the following operation:
determining insurance products recommended to a target user according to the tag data of the target user;
querying whether a claim case of a similar user of the target user exists in a plurality of claim cases of the insurance product;
when the claim case exists, generating a claim case according to the case information of the claim case;
and adding the claim case into the product information of the insurance product for recommendation to the target user.
The invention provides an insurance information recommendation method, an insurance information recommendation device, computer equipment and a storage medium, wherein insurance products recommended to a target user are determined according to tag data of the target user, whether claim cases of similar users of the target user exist in a plurality of claim cases of the insurance products recommended to the target user is inquired, claim cases are generated according to the case information of the inquired claim cases, and the claim cases are added to the product information of the insurance products to be recommended to the target user, so that the intention of the target user to purchase the insurance products is improved, and the insurance product recommendation effect and the success rate of the insurance product recommendation are improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced 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 based on these drawings without creative efforts.
Fig. 1 is a flowchart illustrating an insurance information recommendation method according to an embodiment of the present invention;
FIG. 2 shows a flow chart of step 102 of the method of FIG. 1;
fig. 3 is a block diagram illustrating an insurance information recommendation apparatus according to an embodiment of the present invention;
fig. 4 is a block diagram illustrating a computer device according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It is to be understood that, unless the context clearly requires otherwise, throughout the description and the claims, the words "comprise", "comprising", and the like are to be construed in an inclusive sense as opposed to an exclusive or exhaustive sense; that is, what is meant is "including, but not limited to". In addition, in the description of the present invention, "a plurality" means two or more unless otherwise specified.
As described in the foregoing background, in the prior art, when an insurance product is recommended to a user, product details of the recommended insurance product are still displayed to the user singly, so that the recommendation effect of the insurance product is not good, and the success rate of recommending the insurance product is reduced. Therefore, the insurance information recommendation method provided by the embodiment of the invention can improve the willingness of a target user to purchase insurance products, thereby improving the insurance product recommendation effect and the success rate of insurance product recommendation.
In one embodiment, an insurance information recommendation method is provided, and the method is applied to an insurance information recommendation device, which can be configured in any computer device, and the computer device can be implemented by using an independent server or a server cluster composed of a plurality of servers.
As shown in fig. 1, the insurance information recommendation method provided in this embodiment may include the steps of:
101. and determining insurance products recommended to the target user according to the label data of the target user.
The target users can be obtained through a plurality of channels, and the target users comprise users who consult at an insurance website, an insurance application or a related offline website or purchase insurance products. The tag data of the target user can be obtained by tagging pre-obtained user basic data, including but not limited to the name, gender, address, birth date, occupation, income, academic calendar, health information, etc. of the user.
102. Querying whether there are claim cases of similar users of the target user among the plurality of claim cases of the insurance product.
The method comprises the steps that an insurance application user processes an insurance claim settlement process if a claim settlement occurs, an insurance company uploads the insurance claim settlement to a database, the database stores the corresponding relationship between an insurance product and a corresponding claim settlement, and case information of the claim settlement process comprises insurance product information, claim settlement process flow information, insurance claim settlement information and the like.
103. And when the claim case exists, generating the claim case according to the case information of the claim case.
104. The claim case is added to the product information of the insurance product for recommendation to the target user.
Specifically, the embodiment of the present invention does not limit the specific adding process.
Optionally, the insurance information recommendation method provided in the embodiment of the present invention further includes:
and when no similar user or a claim case of the similar user exists, adding a preset claim case of the insurance product into the product information of the insurance product to recommend the insurance product to the target user.
The preset claim case of the insurance product can be a case generated in advance based on desensitization processing on the claim case of the insurance product.
The embodiment of the invention provides an insurance information recommendation method, which determines insurance products recommended to a target user according to tag data of the target user, inquires whether claim cases of similar users of the target user exist in a plurality of claim cases of the insurance products recommended to the target user, generates claim cases according to the case information of the inquired claim cases, and adds the claim cases to the product information of the insurance products to recommend to the target user, so that the intention of the target user to purchase the insurance products can be improved, and the recommendation effect of the insurance products and the recommendation success rate of the insurance products are improved.
In one embodiment, the step 101 of determining the insurance product recommended to the target user according to the tag data of the target user may include the following steps:
and matching the tag data of the target user with each insurance product in the insurance product database, and determining the matched insurance product as the insurance product recommended to the target user.
Specifically, each insurance product in the insurance product database is matched with the label data of the target user according to a preset matching model to obtain a matched insurance product, wherein the matching model can be a learning model between the user label data and the insurance products preferred by the user, which is established in advance by adopting a model training algorithm. The insurance product database prestores product information of various insurance products, including insurance types, insurance names, insurance amount data information, insurance participating objects, insurance ranges, benefits and the like.
Illustratively, the life insurance products include three different age groups, namely, a strong life insurance product, a middle life insurance product and an old life insurance product, wherein the age group of the strong life insurance product is 20 years old to 40 years old, the age group of the middle life insurance product is 40 years old to 60 years old, and the age group of the old life insurance product is 60 years old to 80 years old, and the corresponding life insurance product can be matched according to the age label of the target user as the insurance product recommended to the target user, for example, the target user is 56 years old, and then the middle life insurance product is determined as the insurance product recommended to the target user.
In the embodiment, the insurance products recommended to the target user are determined according to the tag data of the target user, so that the insurance products recommended to the target user can meet the requirements of the target user, and the willingness of the target user to purchase the insurance products is effectively improved.
In one embodiment, the above step 102 is to query whether there is a claim case of a similar user of the target user among a plurality of claim cases of the insurance product, as shown in fig. 2, the process may include the following steps:
1021, determining similar users of the target user according to the similarity between the tag data of the target user and the tag data of each insured user;
1022, judging whether the similar user is an insured user, if so, inquiring whether the claim case of the similar user exists in a plurality of claim cases of the insurance product.
In step 1021, determining similar users of the target user according to the similarity between the tag data of the target user and the tag data of each insured user, where the process may include:
and calculating the similarity between the label data of the target user and the label data of each insured user, sequencing the plurality of calculated similarities, and determining the similar users of the target user according to the sequencing result, or determining the users with the same labels with the target user in a preset number as the similar users.
In one embodiment, when there is a claim case in the step 103, a claim case is generated according to the case information of the claim case, and the process may include the following steps:
desensitizing the case information of the claim case, and generating the claim case according to the desensitized case information of the claim case.
The desensitization treatment of the case information refers to desensitizing sensitive data of the case information.
Specifically, a field value of a preset field in case information of a claim case is desensitized by adopting a preset character replacement process. The embodiment of the invention does not limit the specific desensitization treatment process.
Illustratively, after the semantics of the field are recognized, the applicant performs desensitization treatment by adopting a preset character replacement treatment mode to obtain 'Zhang Mr' after the desensitization treatment, and the applicant address 'Shanghai Songjiang district garden subdistrict' after the desensitization treatment 'some city'.
In this embodiment, by generating the claim case according to the case information of the claim case after the desensitization processing, the privacy security of the insured user can be ensured, and the claim case can also retain the information required by the target user.
In one embodiment, there is provided an insurance information recommending apparatus, as shown in fig. 2, including:
the determining module 31 is configured to determine an insurance product recommended to the target user according to the tag data of the target user;
the query module 32 is used for querying whether a claim case of a similar user of the target user exists in a plurality of claim cases of the insurance product;
the generating module 33 is configured to generate a claim case according to case information of a claim case when the claim case exists;
and the recommending module 34 is used for adding the claim settlement cases into the product information of the insurance product so as to recommend the claim settlement cases to the target user.
In one embodiment, the determining module 31 is specifically configured to:
and matching the tag data of the target user with each insurance product in the insurance product database, and determining the matched insurance product as the insurance product recommended to the target user.
In one embodiment, the query module 32 is specifically configured to:
determining similar users of the target user according to the similarity between the tag data of the target user and the tag data of each insured user;
and judging whether the similar users are the users who are insured, if so, inquiring whether the claim cases of the similar users exist in a plurality of claim cases of the insurance product.
In an embodiment, the generating module 33 is specifically configured to:
desensitizing the case information of the claim case, and generating the claim case according to the desensitized case information of the claim case.
In one embodiment, the recommendation module 34 is further specifically configured to:
and when no similar user or a claim case of the similar user exists, adding a preset claim case of the insurance product into the product information of the insurance product to recommend the insurance product to the target user.
It should be noted that: in the insurance information recommendation device provided in the embodiment of the present invention, only the division of the functional modules is exemplified, and in practical applications, the function distribution may be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the functions described above. In addition, the specific implementation process and beneficial effects of the insurance information recommendation device in this embodiment are detailed in the insurance information recommendation method in the embodiment, and are not described herein again.
Fig. 4 is an internal structural diagram of a computer device according to an embodiment of the present invention. The computer device may be a server, and its internal structure diagram may be as shown in fig. 4. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement an insurance information recommendation method.
Those skilled in the art will appreciate that the configuration shown in fig. 4 is a block diagram of only a portion of the configuration associated with aspects of the present invention and is not intended to limit the computing devices to which aspects of the present invention may be applied, and that a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, there is also provided a computer device comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
determining insurance products recommended to the target user according to the tag data of the target user;
inquiring whether claim cases of similar users of the target user exist in the plurality of claim cases of the insurance product;
when a claim case exists, generating a claim case according to case information of the claim case;
the claim case is added to the product information of the insurance product for recommendation to the target user.
In one embodiment, there is also provided a computer readable storage medium having a computer program stored thereon, the computer program when executed by a processor implementing the steps of:
determining insurance products recommended to the target user according to the tag data of the target user;
inquiring whether claim cases of similar users of the target user exist in the plurality of claim cases of the insurance product;
when a claim case exists, generating a claim case according to case information of the claim case;
the claim case is added to the product information of the insurance product for recommendation to the target user.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, databases, or other media used in embodiments provided herein may include non-volatile and/or volatile memory. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only show some embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. An insurance information recommendation method, characterized in that the method comprises:
determining insurance products recommended to a target user according to the tag data of the target user;
querying whether a claim case of a similar user of the target user exists in a plurality of claim cases of the insurance product;
when the claim case exists, generating a claim case according to the case information of the claim case;
and adding the claim case into the product information of the insurance product for recommendation to the target user.
2. The method of claim 1, wherein determining the insurance product recommended to the target user based on the tag data of the target user comprises:
and matching the tag data of the target user with each insurance product in an insurance product database, and determining the matched insurance product as the insurance product recommended to the target user.
3. The method of claim 1, wherein querying whether a claim case exists for a similar user to the target user among a plurality of claim cases for the insurance product comprises:
determining similar users of the target user according to the similarity between the tag data of the target user and the tag data of each insured user;
and judging whether the similar user is an insured user, if so, inquiring whether the claim case of the similar user exists in a plurality of claim cases of the insurance product.
4. The method according to claim 1, wherein when there is the claim case, generating a claim case according to case information of the claim case comprises:
desensitizing the case information of the claim case, and generating the claim case according to the desensitized case information of the claim case.
5. The method of any of claims 1 to 4, further comprising:
and when the similar user or the claim settlement case of the similar user does not exist, adding the preset claim settlement case of the insurance product into the product information of the insurance product to recommend the preset claim settlement case to the target user.
6. An insurance information recommendation apparatus, characterized in that the apparatus comprises:
the determining module is used for determining insurance products recommended to the target user according to the label data of the target user;
the query module is used for querying whether claim cases of similar users of the target user exist in the plurality of claim cases of the insurance product;
the generating module is used for generating a claim case according to case information of the claim case when the claim case exists;
and the recommending module is used for adding the claim settlement cases into the product information of the insurance product so as to recommend the claim settlement cases to the target user.
7. The apparatus of claim 6, wherein the determining module is specifically configured to:
and matching the tag data of the target user with each insurance product in an insurance product database, and determining the matched insurance product as the insurance product recommended to the target user.
8. The apparatus of claim 6, wherein the query module is specifically configured to:
determining similar users of the target user according to the similarity between the tag data of the target user and the tag data of each insured user;
and judging whether the similar user is an insured user, if so, inquiring whether the claim case of the similar user exists in a plurality of claim cases of the insurance product.
9. A computer device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the insurance information recommendation method of any one of claims 1 to 5 when executing the computer program.
10. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the insurance information recommendation method of any one of claims 1 to 5.
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| CN202011147236.XA CN112182402A (en) | 2020-10-23 | 2020-10-23 | Insurance information recommendation method and device, computer equipment and storage medium |
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| CN202011147236.XA CN112182402A (en) | 2020-10-23 | 2020-10-23 | Insurance information recommendation method and device, computer equipment and storage medium |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112991025A (en) * | 2021-05-08 | 2021-06-18 | 明品云(北京)数据科技有限公司 | Intelligent insurance recommendation method, system and equipment and computer readable storage medium |
| CN113901196A (en) * | 2021-09-22 | 2022-01-07 | 南京复保科技有限公司 | Insurance relation map display method and system, computer equipment and storage medium |
| CN117573840A (en) * | 2024-01-12 | 2024-02-20 | 广州小锤科技服务有限公司 | Big data claim information management method, system and storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108711110A (en) * | 2018-08-14 | 2018-10-26 | 中国平安人寿保险股份有限公司 | Insurance products recommend method, apparatus, computer equipment and storage medium |
| CN110020913A (en) * | 2019-02-20 | 2019-07-16 | 中国人民财产保险股份有限公司 | Products Show method, equipment and storage medium |
| WO2019216825A1 (en) * | 2018-05-06 | 2019-11-14 | Inzsure Pte. Ltd. | System and method for recommending insurance products |
| CN111127222A (en) * | 2019-11-25 | 2020-05-08 | 泰康保险集团股份有限公司 | Business service processing method, device, equipment and storage medium |
-
2020
- 2020-10-23 CN CN202011147236.XA patent/CN112182402A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019216825A1 (en) * | 2018-05-06 | 2019-11-14 | Inzsure Pte. Ltd. | System and method for recommending insurance products |
| CN108711110A (en) * | 2018-08-14 | 2018-10-26 | 中国平安人寿保险股份有限公司 | Insurance products recommend method, apparatus, computer equipment and storage medium |
| CN110020913A (en) * | 2019-02-20 | 2019-07-16 | 中国人民财产保险股份有限公司 | Products Show method, equipment and storage medium |
| CN111127222A (en) * | 2019-11-25 | 2020-05-08 | 泰康保险集团股份有限公司 | Business service processing method, device, equipment and storage medium |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112991025A (en) * | 2021-05-08 | 2021-06-18 | 明品云(北京)数据科技有限公司 | Intelligent insurance recommendation method, system and equipment and computer readable storage medium |
| CN113901196A (en) * | 2021-09-22 | 2022-01-07 | 南京复保科技有限公司 | Insurance relation map display method and system, computer equipment and storage medium |
| CN117573840A (en) * | 2024-01-12 | 2024-02-20 | 广州小锤科技服务有限公司 | Big data claim information management method, system and storage medium |
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