Family relationship identification method and device, electronic equipment and storage medium

By analyzing the user's insurance policy records, forming family relationships and determining the ownership of family members, the problem of not being updated in time in user data is solved, accurate identification of family members and real-time update of data is achieved, and marketing strategy is improved Accuracy and reliability of predicted results.

CN119322922APending Publication Date: 2025-01-17PICC LIFE INSURANCE CO LTD
View PDF 0 Cites 1 Cited by

Patent Information

Application Number
CN202411310255.8
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-09-19
Publication Date
2025-01-17

AI Technical Summary

Technical Problem

Changes in family members in existing user data are not updated in time, resulting in errors in family data and affecting marketing strategies and forecast results.

Method used

By obtaining the insurance policy records of the target user, determine the kinship relationship between the relevant personnel and the target user, establish a family relationship, including three generations of kinship relationships, and determine the target family relationship to be attributed based on the number of occurrences of members in the family relationship.

Benefits of technology

It realizes accurate identification and attribution analysis of family members, ensures real-time data detection and update, and improves the accuracy of marketing strategies and the reliability of predicted results.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119322922A_ABST
    Figure CN119322922A_ABST
Patent Text Reader

Abstract

The invention discloses a family relationship identification method and device, electronic equipment and a storage medium, and relates to the technical field of data processing, and the main technical scheme comprises the following steps: firstly, obtaining an insurance policy record of a target user, and determining a relative relationship between related personnel and the target user in the insurance policy record; secondly, building a family relationship according to the relative relationship between the target user and the related personnel; wherein the family relationship comprises a third-generation relative relationship; and finally, when it is determined that the members in the family relationship belong to two or more family relationships at the same time, determining a target family relationship to which the members belong according to the occurrence frequency of the members in the family relationships. Compared with the prior art, the embodiment of the invention detects and analyzes the composition and change of the family members in real time through the insurance policy data, and achieves the precise recognition of the family members through the family affiliation analysis of the plurality of family members.
Need to check novelty before this filing date? Find Prior Art

Description

Technical Field

[0001] The present disclosure relates to the field of data processing technology, and in particular to a method and device for identifying family relationships, an electronic device, and a storage medium. Background Art

[0002] With the rapid development of the Internet, the product marketing industry is increasingly dependent on user data information. The quality of user data directly affects the results of marketing using the data.

[0003] At present, the existing user data has problems such as errors or omissions due to various reasons in the early stage. For example, family members in the user data change and the data is not updated in time, resulting in errors in the user's family data, which directly affects the subsequent prediction results, marketing strategies, etc. Summary of the invention

[0004] The present disclosure provides a method, device, electronic device and storage medium for identifying family relationships.

[0005] According to a first aspect of the present disclosure, a method for identifying family relationships is provided, comprising:

[0006] Obtaining the insurance policy record of the target user, and determining the relationship between the relevant person in the insurance policy record and the target user;

[0007] Establishing a family relationship based on the kinship relationship between the target user and the relevant persons; wherein the family relationship includes three generations of kinship relationship;

[0008] When it is determined that a member in the family relationship belongs to two or more family relationships at the same time, the target family relationship to which the member belongs is determined according to the number of times the member appears in the family relationships.

[0009] Optionally, the obtaining of the insurance policy record of the target user and determining the relationship between the relevant person in the insurance policy record and the target user includes:

[0010] The kinship relationship between the relevant person and the target user is determined based on the relationship and social attributes of the policyholder and the insured in the insurance record.

[0011] Optionally, the forming of a family relationship based on the kinship relationship between the target user and the relevant persons includes:

[0012] The number of persons identified as parents;

[0013] When the number of the related persons whose relatives are parents is less than or equal to four, and the number of males is less than or equal to 2, and the number of females is less than or equal to 2, the related persons whose relatives are parents are determined to be the parents of the target user;

[0014] When the number of related persons whose relatives are parents is greater than 4, the 4 related persons whose relatives are parents in the latest long-term insurance policy are determined to be the parents of the target user.

[0015] Optionally, the forming of a family relationship based on the kinship relationship between the target user and the relevant persons includes:

[0016] The number of persons identified as spouses;

[0017] When it is determined that the number of related persons whose relatives are spouses is greater than 1, the related person whose relatives are spouses in the latest long-term insurance policy is determined as the spouse of the target user;

[0018] When it is determined that the number of related persons whose relatives are spouses is greater than 1 and there is no long-term insurance policy, one related person whose relatives are spouses in the latest insurance policy is determined as the spouse of the target user.

[0019] Optionally, the forming of a family relationship based on the kinship relationship between the target user and the relevant persons includes:

[0020] Obtaining the insurance policy record of the target user's spouse, and determining the relationship between the relevant person in the insurance policy record and the target user's spouse;

[0021] Determine the number of first children of the relevant persons who are children of the target user and the number of second children of the relevant persons who are children of the target user's spouse;

[0022] When the sum of the first number of children and the second number of children is less than or equal to 10, the relevant persons who are the children of the target user and the relevant persons who are the children of the target user's spouse are determined to be the children of the target person;

[0023] When the sum of the first number of children and the second number of children is greater than 10, 10 related persons whose relatives are children in the latest insurance policies of the target user and the target user's spouse are determined as the children of the target user.

[0024] Optionally, when it is determined that a member in the family relationship belongs to two or more family relationships at the same time, before determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationships, the method further includes:

[0025] The format of the kinship relationship among the family members is unified.

[0026] Optionally, when it is determined that a member in the family relationship belongs to two or more family relationships at the same time, after determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationships, the method further includes:

[0027] Generate a family dynamic identification code based on the relationship between family members and the family; wherein the family dynamic identification code

[0028] Contains family member information.

[0029] Optionally, after generating the family dynamic identification code according to the relationship between the family members and the family, the method further includes:

[0030] Calculating the family member tag according to the family dynamic identification code; wherein the family member tag includes at least one of a family minor child number tag, a family member number tag, and a family insurance information tag;

[0031] According to the family member tag, the recommended insurance product of the family corresponding to the family member tag is determined, and the product is pushed to the family members in the family based on the determined insurance product.

[0032] According to a second aspect of the present disclosure, there is provided a device for identifying family relationships, comprising:

[0033] An acquisition unit, used to acquire the insurance policy record of the target user, and determine the relationship between the relevant person in the insurance policy record and the target user;

[0034] A component unit, used for establishing a family relationship according to the kinship relationship between the target user and the relevant persons; wherein the family relationship includes a three-generation kinship relationship;

[0035] A determination unit determines the target family relationship to which a member belongs according to the number of appearances of the member in the family relationships when it is determined that the member in the family relationship belongs to two or more family relationships at the same time.

[0036] Optionally, the acquisition unit is further used for:

[0037] The kinship relationship between the relevant person and the target user is determined based on the relationship and social attributes of the policyholder and the insured in the insurance record.

[0038] Optionally, the component unit includes:

[0039] A first determination module is used to determine the number of related persons whose relatives are parents;

[0040] A second determination module is used to determine that the related persons whose relatives are parents are the parents of the target user when the number of the related persons whose relatives are parents is less than or equal to four, the number of males is less than or equal to 2, and the number of females is less than or equal to 2;

[0041] The third determination module is used to determine that 4 related persons whose relatives are parents in the latest long-term insurance policy are the parents of the target user when the number of related persons whose relatives are parents is greater than 4.

[0042] Optionally, the assembly unit is further used for:

[0043] The number of persons identified as spouses;

[0044] When it is determined that the number of related persons whose relatives are spouses is greater than 1, the related person whose relatives are spouses in the latest long-term insurance policy is determined as the spouse of the target user;

[0045] When it is determined that the number of related persons whose relatives are spouses is greater than 1 and there is no long-term insurance policy, one related person whose relatives are spouses in the latest insurance policy is determined as the spouse of the target user.

[0046] Optionally, the assembly unit is further used for:

[0047] Obtaining the insurance policy record of the target user's spouse, and determining the relationship between the relevant person in the insurance policy record and the target user's spouse;

[0048] Determine the number of first children of the relevant persons who are children of the target user and the number of second children of the relevant persons who are children of the target user's spouse;

[0049] When the sum of the first number of children and the second number of children is less than or equal to 10, the relevant persons who are the children of the target user and the relevant persons who are the children of the target user's spouse are determined to be the children of the target person;

[0050] When the sum of the first number of children and the second number of children is greater than 10, 10 related persons whose relatives are children in the latest insurance policies of the target user and the target user's spouse are determined as the children of the target user.

[0051] Optionally, the device further comprises:

[0052] A processing unit is used to unify the format of the kinship relationships of each member in the family member relationship before determining the target family relationship to which the member belongs based on the number of appearances of the member in the family relationship when the determination unit determines that the member in the family relationship belongs to two or more family relationships at the same time.

[0053] Optionally, the device further comprises:

[0054] A generating unit is used to generate a family dynamic identification code according to the relationship between family members and the family after determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationship when the determining unit determines that the member in the family relationship belongs to two or more family relationships at the same time; wherein the family dynamic identification code includes family member information.

[0055] Optionally, the device further comprises:

[0056] A calculation unit, configured to calculate the family member label according to the family dynamic identification code after the generation unit generates the family dynamic identification code according to the relationship between the family members and the family; wherein the family member label includes at least one of a family minor child number label, a family member number label and a family insurance information label;

[0057] A push unit is used to determine the recommended insurance products of the family corresponding to the family member tag according to the family member tag, and to push products to the family members in the family based on the determined insurance products.

[0058] According to a third aspect of the present disclosure, there is provided an electronic device, including:

[0059] at least one processor; and

[0060] a memory communicatively connected to the at least one processor; wherein,

[0061] The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method described in the first aspect.

[0062] According to a fourth aspect of the present disclosure, a non-transitory computer-readable storage medium storing computer instructions is provided, wherein the computer instructions are used to enable the computer to execute the method described in the first aspect.

[0063] According to a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program, wherein when the computer program is executed by a processor, the computer program implements the method as described in the first aspect above.

[0064] The present disclosure provides a method, device, electronic device and storage medium for identifying family relationships. The main technical solutions include: first, obtaining the insurance policy record of the target user, and determining the kinship relationship between the relevant person in the insurance policy record and the target user; second, establishing a family relationship based on the kinship relationship between the target user and the relevant person; wherein the family relationship includes three generations of kinship; finally, when it is determined that a member in the family relationship belongs to two or more family relationships at the same time, determining the target family relationship to which the member belongs based on the number of appearances of the member in the family relationship. Compared with the related art, the embodiment of the present application detects and analyzes the composition and changes of family members in real time through insurance policy data, and realizes accurate identification of family members through family belonging analysis of multiple family members.

[0065] It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easily understood through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0066] The accompanying drawings are used to better understand the present solution and do not constitute a limitation of the present disclosure.

[0067] Figure 1 A schematic diagram of a flow chart of a method for identifying family relationships provided by an embodiment of the present disclosure;

[0068] Figure 2 A schematic diagram of a flow chart of a method for identifying family relationships provided by an embodiment of the present disclosure;

[0069] Figure 3 A family relationship diagram provided for an application embodiment;

[0070] Figure 4 A schematic diagram of a system architecture provided in an embodiment of the present application;

[0071] Figure 5 A schematic diagram of the structure of a family relationship identification device provided by an embodiment of the present disclosure;

[0072] Figure 6 A schematic diagram of the structure of a family relationship identification device provided by an embodiment of the present disclosure;

[0073] Figure 7 A schematic block diagram of an exemplary electronic device provided for an embodiment of the present disclosure. DETAILED DESCRIPTION

[0074] The following is a description of exemplary embodiments of the present disclosure in conjunction with the accompanying drawings, including various details of the embodiments of the present disclosure to facilitate understanding, which should be considered as merely exemplary. Therefore, it should be recognized by those of ordinary skill in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the present disclosure. Similarly, for the sake of clarity and conciseness, descriptions of well-known functions and structures are omitted in the following description.

[0075] The following describes the family relationship identification method, device, electronic device and storage medium of the embodiments of the present disclosure with reference to the accompanying drawings.

[0076] Figure 1 A flowchart of a method for identifying family relationships provided in an embodiment of the present disclosure.

[0077] like Figure 1 As shown, the method comprises the following steps:

[0078] Step 101, obtaining the insurance policy record of the target user, and determining the relationship between the relevant persons in the insurance policy record and the target user.

[0079] In some embodiments, insurance policies related to the target user are obtained, such as insurance policies in which the target user is the policyholder, the insured, and the beneficiary, including various types of insurance policies and policy statuses.

[0080] The kinship relationship between the policyholder, beneficiary or insured and the target user in the insurance policy can be determined based on the kinship relationship recorded in the insurance policy, or can be determined based on the kinship relationship of the target user in existing data, which is not limited in this embodiment of the present application.

[0081] After determining the kinship relationship between each relevant person and the target user, the relationship is stored in a preset database for subsequent analysis.

[0082] Step 102, establishing a family relationship based on the kinship relationship between the target user and the relevant persons; wherein the family relationship includes three generations of kinship relationship.

[0083] In some embodiments, when forming a family relationship, only three generations of family relationships are taken to form, such as: spouse, children, and parents themselves, and do not include siblings and other peer relationships.

[0084] Take the target customer's previous generation data, the target customer's next generation data and the target customer data component family relationship. When establishing a family relationship, there are upper limits on the number of parents, spouses and children, such as less than or equal to 4 parents, less than or equal to 1 spouse, and the number of children can be set according to actual needs. The threshold value, such as less than or equal to 10 people, etc., is set. Specifically, the embodiment of the present application takes 10 people as an example for explanation, but this description is not a limitation on the specific number of children, and the embodiment of the present application does not limit this.

[0085] In some embodiments, when the number of relatives in a certain relationship exceeds the upper limit, it can be determined based on the policy type (such as long policy, short policy), policy status (expired, valid) and insurance date, which is not limited in this embodiment of the present application.

[0086] Step 103, when it is determined that a member in the family relationship belongs to two or more family relationships at the same time, the target family relationship to which the member belongs is determined according to the number of times the member appears in the family relationships.

[0087] In some embodiments, when the target user has brothers or sisters, their parents may appear in multiple family relationships. In this case, the determination can be made based on the frequency of the parents' appearance in different families or the actual caregivers. This embodiment of the present application is not limited to this.

[0088] According to the customer and family grouping, obtain the number of times the customer exists in the family. When a family member exists in multiple families, only the family relationship with the largest number of family members is retained; if the number of family members is the same, the family relationship with the largest number of repetitions is selected; if the number of family members is the same and the number of families is the same, the family relationship is randomly selected

[0089] The main technical scheme of the method for identifying family relationships provided by the present disclosure includes: first, obtaining the insurance policy record of the target user, and determining the kinship relationship between the relevant person in the insurance policy record and the target user; second, establishing a family relationship based on the kinship relationship between the target user and the relevant person; wherein the family relationship includes three generations of kinship; finally, when it is determined that a member in the family relationship belongs to two or more family relationships at the same time, determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationship. Compared with the related art, the embodiment of the present application detects and analyzes the composition and changes of family members in real time through insurance policy data, and realizes accurate identification of family members through family belonging analysis of multiple family members.

[0090] In some embodiments, when determining the kinship relationship in step 101, the determination may also be performed according to the following steps:

[0091] The kinship relationship between the relevant person and the target user is determined based on the relationship and social attributes of the policyholder and the insured in the insurance record.

[0092] In some embodiments, in the insurance record, the relationship between the policyholder and the insured and their social attributes can provide clues about their relationship with the target user. For example, the relationship description between the policyholder and the insured in the insurance record can be checked. For example, if the policyholder is a parent and the insured is a child, then it can be determined that they are direct relatives.

[0093] Social attributes, such as age, gender, occupation, and place of residence, can also provide clues about kinship. For example, if the policyholder and the insured have the same residential address, they may be family members. You can also check the information of other relevant persons: If the insurance record also involves other relevant persons, such as beneficiaries, emergency contacts, etc., you can also analyze their relationship with the policyholder and the insured to further determine their kinship with the target user.

[0094] In some embodiments, there are socially common number limits when determining family members, such as the number of spouses, the number of parents, etc. For specific determination methods, please refer to the following steps. Figure 2 , Figure 2 A schematic diagram of a process for identifying a family relationship provided by an embodiment of the present disclosure includes:

[0095] Step 201, determining the number of related persons whose relatives are parents.

[0096] Step 202, when the number of related persons whose relatives are parents is less than or equal to four, the number of males is less than or equal to 2, and the number of females is less than or equal to 2, determine that the related persons whose relatives are parents are the parents of the target user.

[0097] In some embodiments, parents include the current customer's parents and the spouse's parents, and the difference between the two cannot be distinguished in the data. When the number of parents of a customer is less than or equal to 4 (male ≤ 2, female ≤ 2), the parent relationship of all policies (regardless of long or short insurance) is obtained.

[0098] In some embodiments, when the number of parents does not exceed four, the related persons who are parents are directly determined as the parents of the target customer. It should be noted that the number of male and female parents is less than or equal to 2. If the number of parents of a certain gender exceeds the threshold, the determination is performed according to the method of step 203.

[0099] Step 203, when the number of related persons whose relatives are parents is greater than 4, four related persons whose relatives are parents in the latest long-term insurance policy are determined as the parents of the target user.

[0100] In some embodiments, when the number of parents of a customer is greater than 4 (male>2 or female>2) or the number of fathers or mothers is greater than 2, only the parent relationship in the long-term insurance policy with the most recent policy date and the number is less than or equal to 4 (male≤2, female≤2) is taken.

[0101] Step 204, determining the number of related persons whose relatives are spouses.

[0102] Step 205, when it is determined that the number of related persons whose relatives are spouses is greater than 1, determine the related persons whose relatives are spouses in the latest long-term insurance policy as the spouse of the target user.

[0103] When the number of spouses is equal to 1, the latest policy date shall prevail, regardless of the length of insurance and effective status.

[0104] Step 206, when it is determined that the number of related persons whose relatives are spouses is greater than 1 and there is no long-term insurance policy, determine that one related person whose relatives are spouses in the latest insurance policy is the spouse of the target user.

[0105] When the number of spouses is greater than 1, if the customer has a valid long-term insurance policy, the data with the most recent insurance date in the policy master table is taken; if the customer does not have a valid long-term insurance policy, the latest policy date is used as the basis, regardless of whether the policy is long or short.

[0106] Step 207, obtaining the insurance policy record of the target user's spouse, and determining the relationship between the relevant person in the insurance policy record and the target user's spouse.

[0107] In some embodiments, children include the current customer's children and the spouse's children, and the difference between the two cannot be distinguished in the data.

[0108] Step 208, determining the number of first children of the relevant persons who are children of the target user and the number of second children of the relevant persons who are children of the target user's spouse.

[0109] Step 209, when the sum of the first number of children and the second number of children is less than or equal to 10, determine the relevant persons who are related to the target user as children and the relevant persons who are related to the target user's spouse as children as children as the children of the target person.

[0110] Step 210, when the sum of the first number of children and the second number of children is greater than 10, determine that 10 related persons whose relatives are children in the latest insurance policies of the target user and the target user's spouse are the children of the target user.

[0111] When the number of children of a customer is less than or equal to 10, the child relations of all the insurance policies (regardless of long and short insurance policies) are taken; when the number of children of a customer is greater than 10, only the child relations of the long-term insurance policies with the most recent policy date and the number of children less than or equal to 10 are taken.

[0112] See also Figure 3 , Figure 3 A family relationship diagram provided for the application embodiment, such as Figure 3 As shown, A is the target customer, B and A are related as spouses, then B's parents H are also A's parents, and B's child G is also A's child; it should be noted that the spouse D of A's child C is also determined to be the child of target customer A; the spouse F of A's parents E is also determined to be the parents of target customer A.

[0113] When forming a family based on kinship, the direct relatives of A in the next generation are determined as one family, such as Figure 3 As shown, I is the child of A's child C, and the kinship relationship with the target customer A is two generations, which exceeds the relationship threshold set in this application. Therefore, it is determined that C's child I is not a family relationship diagram centered on A. However, when a family is formed with C as the center, A and I will exist in the same family relationship. Specifically, it varies according to different family center members, and the embodiments of this application are not limited to this.

[0114] In some embodiments, the embodiments of the present application are described using three generations of family members as an example. This description is an exemplary description and is not a specific limitation on specific family relationships.

[0115] In some embodiments, after obtaining the family relationships of the target customers, the customer relationships are formatted in a unified manner, which can be performed according to the following steps: the kinship relationships of each member in the family relationship are formatted in a unified manner.

[0116] Take the data of the customer relationships as spouse, children, and parents and flip them.

[0117] Source data A is the child of B, and the relationship is reversed to complete: B is the parent of A.

[0118] Source data A is the parent of B, flip the relationship to complete: B is the child of A

[0119] Source data A is B's spouse, flip the relationship to complete: B is A's spouse

[0120] According to the business requirements, complete the third-level customer relationship and flip the completed relationship

[0121] The spouse's parents are parents. The source data A is B's parents, and C is B's spouse. Complete the third-level relationship: C is A's child, and reverse the relationship: A is C's parent.

[0122] The children of a spouse are children. The source data A is the child of B, and C is the spouse of B. Complete the third-level relationship: C is the parent of A, and reverse the relationship: A is the child of C.

[0123] In some embodiments, after forming a family, the following steps are also included:

[0124] A family dynamic identification code is generated according to the relationship between family members and the family; wherein the family dynamic identification code includes family member information.

[0125] Finally, the corresponding relationship between the customer and the family is generated and a string of code values ​​of fixed length is formed through unified encoding, and the final family dynamic identification code in a unified length format is generated. After the family dynamic identification code is generated, the family member label can be calculated according to the unique ID, so as to accurately push the customer according to the calculation result. Specifically, it can be performed according to the following steps:

[0126] Calculating the family member tag according to the family dynamic identification code; wherein the family member tag includes at least one of a family minor child number tag, a family member number tag, and a family insurance information tag;

[0127] According to the family member tag, the recommended insurance product of the family corresponding to the family member tag is determined, and the product is pushed to the family members in the family based on the determined insurance product.

[0128] With a uniquely identifiable family dynamic identification code, a series of family member labels can be calculated based on the unique ID, such as the number of underage children in the family, the number of family members, the overall insurance coverage of the family, and other series of labels. Family relationship label data, customer family dynamic identification codes and other data are uploaded to the CRM (customer relationship management) system via an API interface, and labels are screened in the CRM system, and matching and screening can be performed for family customer data of a specified type, ultimately achieving marketing insurance product recommendations for the specified customer group. In some embodiments, a variety of push methods can be selected when pushing, such as text messages, phone calls, targeted push ads, etc. Specifically, this is not limited in the embodiments of the present application.

[0129] See also Figure 4 , Figure 4 A schematic diagram of a system architecture provided in an embodiment of the present application is shown in FIG. Figure 4As shown, the target user's policy issuance system (i.e., insurance policy, including all data in different forms such as personal policy and group policy) is obtained based on the core system, and the obtained data is pushed to the big data platform, and the family dynamic identification code is calculated and generated, and the family dynamic identification code is pushed to the CRM system to filter customer data according to family tags, obtain personalized push data corresponding to each family, and finally execute push based on the preset push channel. It should be noted that Figure 4 The push method is described by taking the marketing staff as an example, but this description is not a specific limitation on the push method, and the embodiments of the present application do not limit this.

[0130] Corresponding to the above-mentioned family relationship identification method, the present invention also provides a family relationship identification device. Since the device embodiment of the present invention corresponds to the above-mentioned method embodiment, the details not disclosed in the device embodiment can be referred to the above-mentioned method embodiment, and will not be repeated in the present invention.

[0131] Figure 5 A schematic diagram of a family relationship identification device provided by an embodiment of the present disclosure is shown in FIG. Figure 5 As shown, including:

[0132] The acquisition unit 31 is used to acquire the insurance policy record of the target user and determine the relationship between the relevant person in the insurance policy record and the target user;

[0133] Component unit 32, used for establishing a family relationship according to the kinship relationship between the target user and the relevant persons; wherein the family relationship includes a three-generation kinship relationship;

[0134] The determination unit 33 determines the target family relationship to which the member belongs according to the number of appearances of the member in the family relationships when it is determined that the member in the family relationship belongs to two or more family relationships at the same time.

[0135] The main technical scheme of the family relationship identification device provided by the present disclosure includes: first, obtaining the insurance policy record of the target user, and determining the kinship relationship between the relevant person in the insurance policy record and the target user; second, forming a family relationship based on the kinship relationship between the target user and the relevant person; wherein the family relationship includes three generations of kinship; finally, when it is determined that a member in the family relationship belongs to two or more family relationships at the same time, determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationship. Compared with the related art, the embodiment of the present application detects and analyzes the composition and changes of family members in real time through insurance policy data, and realizes accurate identification of family members through family belonging analysis of multiple family members.

[0136] Furthermore, in a possible implementation of the embodiment of the present disclosure, the acquisition unit 31 is further configured to:

[0137] The kinship relationship between the relevant person and the target user is determined based on the relationship and social attributes of the policyholder and the insured in the insurance record.

[0138] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 6 As shown, the assembly unit 32 includes:

[0139] The first determination module 321 is used to determine the number of related persons whose relatives are parents;

[0140] A second determining module 322 is used to determine that the related persons with the parental relationship are the parents of the target user when the number of the related persons with the parental relationship is less than or equal to four, the number of males is less than or equal to 2, and the number of females is less than or equal to 2;

[0141] The third determination module 323 is used to determine that 4 related persons whose relatives are parents in the latest long-term insurance policy are the parents of the target user when the number of related persons whose relatives are parents is greater than 4.

[0142] Furthermore, in a possible implementation of the embodiment of the present disclosure, the assembly unit 32 is further configured to:

[0143] The number of persons identified as spouses;

[0144] When it is determined that the number of related persons whose relatives are spouses is greater than 1, the related person whose relatives are spouses in the latest long-term insurance policy is determined as the spouse of the target user;

[0145] When it is determined that the number of related persons whose relatives are spouses is greater than 1 and there is no long-term insurance policy, one related person whose relatives are spouses in the latest insurance policy is determined as the spouse of the target user.

[0146] Furthermore, in a possible implementation of the embodiment of the present disclosure, the assembly unit 32 is further configured to:

[0147] Obtaining the insurance policy record of the target user's spouse, and determining the relationship between the relevant person in the insurance policy record and the target user's spouse;

[0148] Determine the number of first children of the relevant persons who are children of the target user and the number of second children of the relevant persons who are children of the target user's spouse;

[0149] When the sum of the first number of children and the second number of children is less than or equal to 10, the relevant persons who are the children of the target user and the relevant persons who are the children of the target user's spouse are determined to be the children of the target person;

[0150] When the sum of the first number of children and the second number of children is greater than 10, 10 related persons whose relatives are children in the latest insurance policies of the target user and the target user's spouse are determined as the children of the target user.

[0151] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 6 As shown, the device also includes:

[0152] The processing unit 34 is used to unify the format of the kinship relationships of each member in the family member relationship before determining the target family relationship to which the member belongs based on the number of appearances of the member in the family relationship when the determination unit 33 determines that the member in the family relationship belongs to two or more family relationships at the same time.

[0153] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 6 As shown, the device also includes:

[0154] The generation unit 35 is used to generate a family dynamic identification code according to the relationship between family members and the family after determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationship when the determination unit 33 determines that the member in the family relationship belongs to two or more family relationships at the same time; wherein the family dynamic identification code includes family member information.

[0155] Furthermore, in a possible implementation of the embodiment of the present disclosure, as Figure 6 As shown, the device also includes:

[0156] The calculation unit 36 ​​is used to calculate the family member label according to the family dynamic identification code after the generation unit 35 generates the family dynamic identification code according to the relationship between the family members and the family; wherein the family member label includes at least one of the family minor children number label, the family member number label and the family insurance information label;

[0157] The push unit 37 is used to determine the recommended insurance products of the family corresponding to the family member tag according to the family member tag, and push the products to the family members in the family based on the determined insurance products.

[0158] It should be noted that the above explanation of the method embodiment is also applicable to the device of the embodiment of the present disclosure, and the principle is the same, which is no longer limited in the embodiment of the present disclosure.

[0159] According to an embodiment of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.

[0160] Figure 7 A schematic block diagram of an example electronic device 400 that can be used to implement an embodiment of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the present disclosure described and / or required herein.

[0161] like Figure 7 As shown, the device 400 includes a computing unit 401, which can perform various appropriate actions and processes according to a computer program stored in a ROM (Read-Only Memory) 402 or a computer program loaded from a storage unit 408 to a RAM (Random Access Memory) 403. In the RAM 403, various programs and data required for the operation of the device 400 can also be stored. The computing unit 401, the ROM 402, and the RAM 403 are connected to each other via a bus 404. An I / O (Input / Output) interface 405 is also connected to the bus 404.

[0162] A number of components in the device 400 are connected to the I / O interface 405, including: an input unit 406, such as a keyboard, a mouse, etc.; an output unit 407, such as various types of displays, speakers, etc.; a storage unit 408, such as a disk, an optical disk, etc.; and a communication unit 409, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 409 allows the device 400 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0163] The computing unit 401 may be a variety of general and / or special processing components with processing and computing capabilities. Some examples of the computing unit 401 include, but are not limited to, a CPU (Central Processing Unit), a GPU (Graphic Processing Units), various dedicated AI (Artificial Intelligence) computing chips, various computing units running machine learning model algorithms, a DSP (Digital Signal Processor), and any appropriate processor, controller, microcontroller, etc. The computing unit 401 performs the various methods and processes described above, such as a method for identifying family relationships. For example, in some embodiments, the method for identifying family relationships may be implemented as a computer software program, which is tangibly contained in a machine-readable medium, such as a storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on the device 400 via the ROM 402 and / or the communication unit 409. When the computer program is loaded into the RAM 403 and executed by the computing unit 401, one or more steps of the method described above may be performed. Alternatively, in other embodiments, the computing unit 401 may be configured to execute the aforementioned family relationship identification method in any other appropriate manner (eg, by means of firmware).

[0164] Various embodiments of the systems and techniques described above herein may be implemented in digital electronic circuit systems, integrated circuit systems, FPGAs (Field Programmable Gate Arrays), ASICs (Application-Specific Integrated Circuits), ASSPs (Application Specific Standard Products), SOCs (System On Chips), CPLDs (Complex Programmable Logic Devices), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include: being implemented in one or more computer programs that may be executed and / or interpreted on a programmable system including at least one programmable processor that may be a special purpose or general purpose programmable processor that may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.

[0165] The program code for implementing the method of the present disclosure may be written in any combination of one or more programming languages. These program codes may be provided to a processor or controller of a general-purpose computer, a special-purpose computer, or other programmable data processing device, so that the program code, when executed by the processor or controller, enables the functions / operations specified in the flow chart and / or block diagram to be implemented. The program code may be executed entirely on the machine, partially on the machine, partially on the machine and partially on a remote machine as a stand-alone software package, or entirely on a remote machine or server.

[0166] In the context of the present disclosure, a machine-readable medium may be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, device, or equipment. A machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or device, or any suitable combination of the foregoing. More specific examples of machine-readable storage media may include an electrical connection based on one or more lines, a portable computer disk, a hard disk, a RAM, a ROM, an EPROM (Electrically Programmable Read-Only-Memory) or a flash memory, an optical fiber, a CD-ROM (Compact Dis sc Read-Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0167] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device (e.g., a CRT (Cathode-Ray Tube) or LCD (Liquid Crystal Display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball), through which the user can provide input to the computer. Other types of devices can also be used to provide interaction with the user; for example, the feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0168] The systems and techniques described herein may be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer with a graphical user interface or a web browser through which a user can interact with implementations of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system may be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: LAN (Local Area Network), WAN (Wide Area Network), the Internet, and blockchain networks.

[0169] A computer system may include a client and a server. The client and the server are generally remote from each other and usually interact through a communication network. The relationship between the client and the server is generated by computer programs running on the corresponding computers and having a client-server relationship with each other. The server may be a cloud server, also known as a cloud computing server or cloud host, which is a host product in the cloud computing service system to solve the defects of difficult management and weak business scalability in traditional physical hosts and VPS services ("Virtual Private Server", or "VPS" for short). The server may also be a server of a distributed system, or a server combined with a blockchain.

[0170] It should be noted that artificial intelligence is a discipline that studies how computers can simulate certain human thought processes and intelligent behaviors (such as learning, reasoning, thinking, planning, etc.), and includes both hardware-level and software-level technologies. Artificial intelligence hardware technologies generally include technologies such as sensors, dedicated artificial intelligence chips, cloud computing, distributed storage, and big data processing; artificial intelligence software technologies mainly include computer vision technology, speech recognition technology, natural language processing technology, as well as machine learning / deep learning, big data processing technology, knowledge graph technology, and other major directions.

[0171] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps recorded in this disclosure can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solutions disclosed in this disclosure can be achieved, and this document does not limit this.

[0172] The above specific implementations do not constitute a limitation on the protection scope of the present disclosure. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present disclosure shall be included in the protection scope of the present disclosure.

Claims

1. A method for identifying family relationships, characterized in that: include: Obtaining the insurance policy record of the target user, and determining the relationship between the relevant person in the insurance policy record and the target user; Establishing a family relationship based on the kinship relationship between the target user and the relevant persons; wherein the family relationship includes three generations of kinship relationship; When it is determined that a member in the family relationship belongs to two or more family relationships at the same time, the target family relationship to which the member belongs is determined according to the number of times the member appears in the family relationships.

2. The method according to claim 1, characterized in that The step of obtaining the insurance policy record of the target user and determining the relationship between the relevant person in the insurance policy record and the target user includes: The kinship relationship between the relevant person and the target user is determined based on the relationship and social attributes of the policyholder and the insured in the insurance record.

3. The method according to claim 1, characterized in that The forming of a family relationship according to the kinship relationship between the target user and the relevant persons includes: The number of persons identified as parents; When the number of the related persons whose relatives are parents is less than or equal to four, and the number of males is less than or equal to 2, and the number of females is less than or equal to 2, the related persons whose relatives are parents are determined to be the parents of the target user; When the number of related persons whose relatives are parents is greater than 4, the 4 related persons whose relatives are parents in the latest long-term insurance policy are determined to be the parents of the target user.

4. The method according to claim 1, characterized in that: The forming of a family relationship according to the kinship relationship between the target user and the relevant persons includes: The number of persons identified as spouses; When it is determined that the number of related persons whose relatives are spouses is greater than 1, the related person whose relatives are spouses in the latest long-term insurance policy is determined as the spouse of the target user; When it is determined that the number of related persons whose relatives are spouses is greater than 1 and there is no long-term insurance policy, one related person whose relatives are spouses in the latest insurance policy is determined as the spouse of the target user.

5. The method according to claim 4, characterized in that The forming of a family relationship according to the kinship relationship between the target user and the relevant persons includes: Obtaining the insurance policy record of the target user's spouse, and determining the relationship between the relevant person in the insurance policy record and the target user's spouse; Determine the number of first children of the relevant persons who are children of the target user and the number of second children of the relevant persons who are children of the target user's spouse; When the sum of the first number of children and the second number of children is less than or equal to 10, the relevant persons who are the children of the target user and the relevant persons who are the children of the target user's spouse are determined to be the children of the target person; When the sum of the first number of children and the second number of children is greater than 10, 10 related persons whose relatives are children in the latest insurance policies of the target user and the target user's spouse are determined as the children of the target user.

6. The method according to any one of claims 1 to 5, characterized in that When it is determined that a member in the family relationship belongs to two or more family relationships at the same time, before determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationships, the method further includes: The format of the kinship relationship among the family members is unified.

7. The method according to any one of claims 1 to 5, characterized in that When it is determined that a member in the family relationship belongs to two or more family relationships at the same time, after determining the target family relationship to which the member belongs according to the number of appearances of the member in the family relationships, the method further includes: A family dynamic identification code is generated according to the relationship between family members and the family; wherein the family dynamic identification code includes family member information.

8. The method according to claim 7, characterized in that After generating the family dynamic identification code according to the relationship between the family members and the family, the method further includes: Calculating the family member tag according to the family dynamic identification code; wherein the family member tag includes at least one of a family minor child number tag, a family member number tag, and a family insurance information tag; According to the family member tag, the recommended insurance product of the family corresponding to the family member tag is determined, and the product is pushed to the family members in the family based on the determined insurance product.

9. A device for identifying family relationships, characterized in that: include: An acquisition unit, used to acquire the insurance policy record of the target user, and determine the relationship between the relevant person in the insurance policy record and the target user; A component unit, used for establishing a family relationship according to the kinship relationship between the target user and the relevant persons; wherein the family relationship includes a three-generation kinship relationship; A determination unit determines the target family relationship to which a member belongs according to the number of appearances of the member in the family relationships when it is determined that the member in the family relationship belongs to two or more family relationships at the same time.

10. An electronic device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 8.

Citation Information

Cited By

  • Inferring kinship based on graph data structure system and method thereof

    TWI942169B