WO2019041764A1 - 团体保费评估的方法、装置、计算机设备及存储介质 - Google Patents

团体保费评估的方法、装置、计算机设备及存储介质 Download PDF

Info

Publication number
WO2019041764A1
WO2019041764A1 PCT/CN2018/076823 CN2018076823W WO2019041764A1 WO 2019041764 A1 WO2019041764 A1 WO 2019041764A1 CN 2018076823 W CN2018076823 W CN 2018076823W WO 2019041764 A1 WO2019041764 A1 WO 2019041764A1
Authority
WO
WIPO (PCT)
Prior art keywords
insurance
insurance plan
plan
target
premium
Prior art date
Application number
PCT/CN2018/076823
Other languages
English (en)
French (fr)
Inventor
丁杰
李斌
陈杰
邵正铂
马向东
张捷
Original Assignee
平安科技(深圳)有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 平安科技(深圳)有限公司 filed Critical 平安科技(深圳)有限公司
Publication of WO2019041764A1 publication Critical patent/WO2019041764A1/zh

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0278Product appraisal
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0283Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION 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
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance

Definitions

  • the present application relates to the field of computer processing, and in particular, to a method, device, computer device and storage medium for group premium evaluation.
  • a method, apparatus, computer device, and storage medium for group premium assessment are provided.
  • a method of group premium assessment including:
  • a premium price interval corresponding to the target insurance plan is determined according to the adjustment factor and the initial price interval.
  • a device for assessing group premiums comprising:
  • a solution acquisition module configured to obtain a target insurance plan for the premium to be evaluated from the database
  • An extraction module configured to extract an insurance factor that affects a premium price in the target insurance plan
  • a searching module configured to search, according to the insured factor, a historical insurance plan set that matches the target insurance plan
  • the price acquisition module is configured to obtain the premium price corresponding to each insurance plan in the historical insurance plan set;
  • An initial price determining module configured to determine an initial price interval corresponding to the target insurance plan according to the obtained premium price corresponding to each insurance plan;
  • An adjustment factor determining module configured to obtain a total premium completed in the previous cycle, and determining a corresponding adjustment factor according to the total amount of the premium
  • the premium price determining module is configured to determine a premium price interval corresponding to the target insurance plan according to the adjustment factor and the initial price interval.
  • a computer device comprising a memory and one or more processors having stored therein computer readable instructions, the computer readable instructions being executed by the one or more processors such that the one or more The processors perform the following steps:
  • a premium price interval corresponding to the target insurance plan is determined according to the adjustment factor and the initial price interval.
  • One or more non-transitory computer readable storage mediums storing computer readable instructions, when executed by one or more processors, cause the one or more processors to perform the following steps: Obtaining the target insurance plan for the premium to be assessed from the database;
  • a premium price interval corresponding to the target insurance plan is determined according to the adjustment factor and the initial price interval.
  • FIG. 1 is an application scenario diagram of a method of group premium assessment in accordance with one or more embodiments.
  • FIG. 2 is a block diagram of a computer device in accordance with one or more embodiments.
  • FIG. 3 is a flow diagram of a method of group premium assessment in accordance with one or more embodiments.
  • FIG. 4 is a flow chart of a method of group premium assessment in another embodiment.
  • FIG. 5 is a flow diagram of a method for finding a set of historical insurance plans that match a target insurance plan based on a factor of insured, in accordance with one or more embodiments.
  • FIG. 6 is a flow chart of a method for group premium assessment in yet another embodiment.
  • FIG. 7 is a block diagram of a device for group premium assessment in accordance with one or more embodiments.
  • Figure 8 is a block diagram of an apparatus for group premium evaluation in another embodiment.
  • Figure 9 is a block diagram of a device for group premium evaluation in yet another embodiment.
  • the method for evaluating the group premium provided by the present application can be applied to the application scenario as shown in FIG. 1.
  • the terminal 102 communicates with the server 104 over a network.
  • the terminal 102 can be, but is not limited to, various personal computers, notebook computers, smart phones, tablets, and portable wearable devices, and the server 104 can be implemented with a stand-alone server or a server cluster composed of a plurality of servers.
  • the terminal 102 sends a premium evaluation request to the server 104, and the server 104 obtains a target insurance plan for the premium to be evaluated from the database, extracts the insurance factor affecting the premium price in the target insurance plan, and searches for the historical insurance that matches the target insurance plan according to the insurance factor.
  • the program set obtains the premium price corresponding to each insurance plan in the historical insurance plan, determines the initial price range corresponding to the target insurance plan according to the obtained premium price of each insurance plan, and obtains the total premiums completed in the previous cycle, and determines the total premium according to the total premium.
  • FIG. 2 is a schematic diagram of the internal structure of a computer device in an embodiment, and the computer device may be a server or a terminal.
  • the computer device includes a processor, a non-volatile storage medium, an internal memory, and a network interface connected by a system bus.
  • the non-volatile storage medium of the computer device can store an operating system and computer readable instructions that, when executed, cause the processor to perform a method of group premium assessment.
  • the processor of the computer device is used to provide computing and control capabilities to support the operation of the entire computer device.
  • the internal memory can store computer readable instructions that, when executed by the processor, cause the processor to perform a method of group premium evaluation.
  • the network interface of the computer device is used for network communication.
  • FIG. 2 is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation of the computer device to which the solution of the present application is applied.
  • the specific computer device may It includes more or fewer components than those shown in the figures, or some components are combined, or have different component arrangements.
  • Step 302 Obtain a target insurance plan for the premium to be evaluated from the database.
  • the information on the group insurance is recorded in the insurance plan, including: the number of people insured, the gender of the insured, the age, the region, the industry information, and the corresponding protection plan.
  • the protection plan includes insurance information and insurance information.
  • the target insurance plan refers to the insurance plan for the premium to be assessed.
  • the target insurance plan for the premium to be insured is pre-stored in the database, so when the target insurance plan needs to be processed, the corresponding target insurance plan to be evaluated is obtained from the preset location of the database.
  • step 304 the insurance factor affecting the premium price in the target insurance plan is extracted.
  • the premium price of the insurance scheme is specifically determined by the insurance factor in the insurance scheme.
  • Insured factors include: number of companies, gender ratio, age distribution, regional factors, corporate industry and security programs.
  • the number of enterprises refers to the number of people who are insured for this insurance.
  • the gender ratio refers to the ratio of male to female in the number of insured persons.
  • the age distribution refers to the distribution of the age of the insured, generally including two aspects, one is the average age and the other is the extreme age. Extreme age refers to an age greater than 60 years old. This type of age risk is relatively large, so it needs to be considered separately.
  • the regional factor refers to the regional factor; the enterprise industry refers to the industry in which the enterprise is located, and the risks of different industries are different.
  • the protection plan refers to the insurance type and the corresponding insurance amount.
  • Step 306 Find a historical insurance plan set that matches the target insurance plan according to the insurance factor.
  • the historical insurance plan set matching the target insurance plan is searched according to each insurance factor, and the historical insurance plan set refers to the historical insurance plan that matches each insurance factor in the target insurance plan. set.
  • the insured factors include: number of businesses, gender share, age distribution, regional factors, business sector, and security options.
  • the traversal method is used to find the historical insurance plan set matching the target insurance plan. First, the historical insurance plan set Z1 matching the number of enterprises can be searched, and then the historical insurance plan set Z2 matching the gender ratio is searched in Z1, in Z2. Find the historical insurance plan Z3 matching the age distribution, find the historical insurance plan Z4 matching the regional factor in Z3, find the historical insurance plan Z5 matching the enterprise industry in Z4, and find the match plan in Z5.
  • the historical insurance plan set Z6, Z6 is the set of historical insurance plans that match the target insurance plan.
  • Step 308 Obtain a premium price corresponding to each insurance plan in the historical insurance plan set.
  • the obtained historical insurance plan has the same insurance factor as the target insurance plan, so the premium price corresponding to the historical insurance plan has an important reference role for the target insurance plan.
  • the historical insurance plan is a plan that has already determined the premium price, so after extracting the historical insurance plan, you can find the premium price corresponding to each historical insurance plan.
  • Step 310 Determine an initial price interval corresponding to the target insurance plan according to the obtained premium price corresponding to each insurance plan.
  • the premium prices corresponding to the respective insurance plans in the obtained historical insurance plan are arranged in order from small to large, and then the initial price corresponding to the target insurance plan is determined according to the maximum value and the minimum value in the premium price. Interval. Due to the possibility of abnormal data in the premium price in the historical insurance scheme, for example, the data is too large or too small. Therefore, in order to more accurately locate the premium price, in one embodiment, the obtained premium price needs to be denoised, and the specific noise reduction method can eliminate the top 10% and the last 10% of the data, so that Get a reasonable and stable initial price range.
  • step 312 the total amount of premiums completed in the previous cycle is obtained, and the corresponding adjustment factor is determined according to the total amount of the premium.
  • the total premium refers to the total amount of the premium.
  • One quarter can be used as a cycle to calculate the total amount of premiums completed in the previous cycle, and then determine the corresponding adjustment factor based on the total amount of premiums completed in the previous cycle. For example, whether the total premium of the company's last operating cycle has reached the preset standard level. If it is just reached, the adjustment factor X is set to 1. If it is higher than the standard level, the X factor will automatically rise according to the operating conditions. If it is lower than the standard level, the X factor will automatically drop. For example, the total premium is lower than the standard level by 10%. Then, the X factor also drops by 10%.
  • the adjustment factor according to the company's previous cycle of operation (total premiums)
  • the initial price range is adjusted accordingly to suit the company's actual needs.
  • Step 314 determining a premium price interval corresponding to the target insurance plan according to the adjustment factor and the initial price interval.
  • the premium price interval corresponding to the target insurance plan adjustment factor * initial price interval. Therefore, according to the determined adjustment factor and the initial price range, the premium price range corresponding to the target insurance plan can be determined.
  • the method for assessing the group premium is to obtain the insurance factor affecting the premium price in the target insurance plan by obtaining the target insurance plan for the premium to be evaluated, and to find the historical insurance plan set matching the target insurance plan according to the insurance factor, and obtain the historical insurance plan set.
  • the premium price corresponding to the insurance plan determines the initial price range corresponding to the target insurance plan according to the premium price corresponding to each insurance plan, obtains the total premiums completed in the previous cycle, and determines the corresponding adjustment factor according to the total premium, according to the adjustment factor and the initial price range.
  • the premium price range corresponding to the target insurance plan is determined.
  • the method determines the premium price range corresponding to the target insurance plan according to the historical insurance plan, and the whole process is fully automatic, saves time and effort, and the evaluation standard is uniform and the accuracy is high.
  • another method of group premium evaluation is proposed, the method comprising:
  • Step 401 Obtain a target insurance plan for the premium to be evaluated from the database.
  • Step 402 Extract the insurance factor that affects the premium price in the target insurance plan.
  • Step 403 Search for a historical insurance plan set that matches the target insurance plan according to the insurance factor.
  • Step 404 Obtain a premium price corresponding to each insurance plan in the historical insurance plan set.
  • Step 405 Obtain an insured date corresponding to each insurance plan in the historical insurance plan set, and classify each insurance plan in the historical insurance plan according to the insured date.
  • Step 406 Filter out the effective insurance plan according to the premium price corresponding to each insurance plan in each type of insurance plan.
  • each type of the selected effective insurance scheme is aggregated to obtain an effective insurance scheme.
  • Step 408 Determine an initial price interval corresponding to the target insurance plan according to the premium price corresponding to each insurance plan in the effective insurance plan.
  • step 409 the total amount of premiums completed in the previous cycle is obtained, and the corresponding adjustment factor is determined according to the total amount of the premium.
  • Step 410 Determine a premium price interval corresponding to the target insurance plan according to the adjustment factor and the initial price interval.
  • the obtained historical insurance plan needs to be denoised.
  • the insured date corresponding to each insurance plan in the historical insurance plan is obtained, and then classified according to the corresponding insured date.
  • the various insurance schemes in the historical insurance plan are classified, and each year can be regarded as a category, for example, 2012 as a category, 2013 as a category, and 2014 as a category. and many more.
  • 2000 is also possible to use 2000 as a category, 2000-2010 as a category, and after 2010 as a category, which can be adjusted according to actual conditions.
  • each type of insurance plan may have abnormal data, such as data is too large or large, each type of insurance plan can be denoised separately. Denoising can be used to eliminate the premium price of each type of insurance plan. % and after 5% of the data, and then selected out the insurance plan as an effective insurance plan. Then, each type of the selected effective insurance plan is aggregated to obtain an effective insurance plan set, and the initial price range corresponding to the target insurance plan is determined according to the maximum and minimum values in the premium price corresponding to each insurance plan in the effective insurance plan.
  • the step 306 of finding a historical insurance plan set matching the target insurance plan according to the insurance factor includes:
  • step 306A the category to which each insurance factor belongs is determined according to the category division rule corresponding to each insurance factor.
  • the category division rule corresponding to each insurance factor is preset, so that after each insurance factor is obtained, the corresponding category can be determined according to the insurance factor to facilitate subsequent matching.
  • different classification factors corresponding to different insurance factors are different.
  • the insured factors include: number of businesses, gender share, age distribution, regional factors, business sector, and security options.
  • enterprises can be divided into four categories: micro-enterprises, small-sized enterprises, medium-sized enterprises, and large-scale enterprises. For more accurate matching, more subtle divisions can be made, for example, in each category.
  • Enterprises can be divided into different levels according to the specific number of people. It is assumed that 500-2000 people are corresponding to medium-sized enterprises.
  • the corresponding category can be divided according to the gender ratio. For example, the ratio of male to female is between 1:100-1:80, and the classification between 1:80-1:50 is classified into one category. Etc., according to the actual situation, the gender ratio is divided into categories.
  • Step 306B Query a historical insurance plan set that matches the target insurance plan according to the category to which each of the insurance factors belongs.
  • the acquired set of historical insurance plans that exactly match each of the insured factors will be small, because each of the insuring factors itself has many values. It is difficult to find a set of historical insurance plans that exactly match the previous one. For example, suppose the insurance factor includes the number of companies. Assume that there are 50 A companies, 52 B companies, and 51 companies to be assessed for premiums. If only the number of companies is matched according to the number of companies themselves, the number of A companies and the number of B companies are due to the companies to be evaluated. If the number of people is different, it will not match.
  • the number of A companies and the number of B companies are basically the same as the number of enterprises to be evaluated, and they have complete reference value. Therefore, in order to better obtain the historical insurance plan set with reference value, firstly, each insurance factor is classified, and then the historical insurance plan set matching the target insurance plan is inquired according to the category to which each insurance factor belongs.
  • the method for evaluating the group premium assessment includes:
  • Step 316 Obtain a payout ratio corresponding to each insurance plan in the historical insurance plan set.
  • the loss ratio the protection plan payment amount / the protection plan premium. Obtaining the loss ratio of each insurance plan in the historical insurance plan is easy to understand the payment situation of the historical insurance plan. If the loss rate is too high, the previous premium price is unreasonable and needs to be adjusted.
  • Step 318 Determine an average loss ratio corresponding to the target insurance plan according to the compensation rate corresponding to each insurance plan.
  • the average payout ratio corresponding to the target insurance plan is calculated according to the payout ratio corresponding to each insurance plan.
  • the payout ratio corresponding to each insurance plan is denoised, for example, the top 10% and the last 10% payout ratio are eliminated. Then, according to the remaining payout ratio, the average payout ratio is obtained by accumulating the average, that is, the average payout ratio corresponding to the target insurance scheme is obtained.
  • Step 320 Adjust the premium price interval corresponding to the target insurance plan according to the average loss ratio.
  • the preset first threshold is set according to an empirical value, if greater than a preset first threshold. , indicating that the current premium price is too low, you need to raise the corresponding premium price.
  • the insurance factor includes a number of businesses, a gender ratio, an age distribution, a regional factor, a business industry, and a security plan; and steps to find a historical insurance plan set that matches the target insurance plan according to the insurance factor 306.
  • the method includes: searching a first insurance plan set that matches the number of the enterprises, searching, in the first insurance plan set, a second insurance plan set that matches the gender ratio, and searching and searching in the second insurance plan set. And matching, by the age distribution, a third insurance plan set, searching, in the third insurance plan set, a fourth insurance plan set that matches the regional factor, and searching, in the fourth insurance plan set, a match with the enterprise industry
  • the fifth insurance plan set finds a historical insurance plan set matching the protection plan in the fifth insurance plan set.
  • the insured factors include the number of companies, the proportion of sex, the age distribution, the regional factors, the business sector, and the security plan.
  • the first insurance plan set A1 matching the number of enterprises is sequentially searched by cyclic traversal, and then the second insurance plan set A2 matching the gender ratio is searched in A1, and the third insurance plan matching the age distribution is searched in A2.
  • the insurance plan matches the historical insurance plan set.
  • a device for group premium evaluation comprising:
  • the solution obtaining module 702 is configured to obtain a target insurance plan for the premium to be evaluated from the database.
  • the extraction module 704 is configured to extract an insurance factor that affects the premium price in the target insurance plan.
  • the searching module 706 is configured to find a historical insurance plan set that matches the target insurance plan according to the insurance factor.
  • the price acquisition module 708 is configured to obtain a premium price corresponding to each insurance plan in the historical insurance plan set.
  • the initial price determining module 710 is configured to determine an initial price interval corresponding to the target insurance plan according to the obtained premium price corresponding to each insurance plan.
  • the adjustment factor determination module 712 is configured to obtain the total amount of premiums completed in the previous cycle, and determine a corresponding adjustment factor according to the total amount of the premiums.
  • the premium price determining module 714 is configured to determine a premium price interval corresponding to the target insurance plan according to the adjustment factor and the initial price interval.
  • the apparatus for evaluating the group premium further includes:
  • the classification module 709 is configured to obtain an insured date corresponding to each insurance plan in the historical insurance plan set, and classify each insurance plan in the historical insurance plan according to the insured date;
  • the initial price determining module 710 is further configured to filter out an effective insurance plan according to the premium price corresponding to each insurance plan in each type of insurance plan, and aggregate the effective insurance plan selected by each type to obtain an effective insurance plan set, according to the effective
  • the premium price corresponding to each insurance plan in the insurance plan is determined by the initial price range corresponding to the target insurance plan.
  • the search module 706 is further configured to determine, according to a category division rule corresponding to each of the insurance factors, a category to which each of the insurance factors belongs, and query a historical insurance plan that matches the target insurance plan according to the category to which each of the insurance factors belongs. set.
  • the apparatus for evaluating the group premium further includes:
  • the claim rate obtaining module 716 is configured to obtain a payout ratio corresponding to each insurance plan in the historical insurance plan set;
  • the average payout ratio determining module 718 is configured to determine an average payout ratio corresponding to the target insurance plan according to the payout ratio corresponding to each of the insurance plans;
  • the adjusting module 720 is configured to adjust the premium price interval corresponding to the target insurance plan according to the average payout ratio.
  • the insured factor includes a number of businesses, a gender ratio, an age distribution, a regional factor, a business industry, and a security plan; and the searching module 706 is further configured to search for a first insurance plan that matches the number of the enterprises. And collecting, in the first insurance plan set, a second insurance plan set that matches the gender ratio, and searching, in the second insurance plan set, a third insurance plan set that matches the age distribution, The third insurance plan collectively searches for a fourth insurance plan set that matches the regional factor, and finds a fifth insurance plan set that matches the enterprise industry in the fourth insurance plan set, and searches for the fifth insurance plan set. A set of historical insurance plans that match the protection plan.
  • Each of the modules in the above-described group premium evaluation apparatus may be implemented in whole or in part by software, hardware, and a combination thereof.
  • the network interface can be an Ethernet card or a wireless network card or the like.
  • the above modules may be embedded in the hardware in the processor or in the memory in the server, or may be stored in the memory in the server, so that the processor calls the corresponding operations of the above modules.
  • the processor can be a central processing unit (CPU), a microprocessor, a microcontroller, or the like.
  • the apparatus for group premium assessment described above can be implemented in the form of a computer readable instruction that can be executed on a computer device as shown in FIG.
  • the embodiment of the present application provides a computer device.
  • the internal structure of the computer device may correspond to the structure shown in FIG. 2, that is, the computer device may be a server or a terminal, and includes a series of computers stored in the memory.
  • the readable instructions when the computer readable instructions are executed by the processor, may implement the method of group premium evaluation as set forth in various embodiments of the present application.
  • a computer device includes a memory, a processor, and computer readable instructions stored on the memory and operative on the processor, the processor implementing the computer readable instructions to implement the following steps Obtaining a target insurance plan for the premium to be evaluated from the database; extracting the insurance factor affecting the premium price in the target insurance plan; searching for the historical insurance plan set matching the target insurance plan according to the insurance factor; obtaining the historical insurance plan Concentrating the premium price corresponding to each insurance plan; determining the initial price range corresponding to the target insurance plan according to the obtained premium price of each insurance plan; obtaining the total premium completed in the previous cycle, and determining the corresponding adjustment according to the total premium a factor; determining a premium price interval corresponding to the target insurance plan according to the adjustment factor and the initial price interval.
  • the processor before the determining the initial price interval corresponding to the target insurance plan according to the premium price corresponding to each of the acquired insurance plans, is further configured to perform the following steps: acquiring each of the historical insurance plan sets The insured date corresponding to the insurance plan, the individual insurance plans in the historical insurance plan set are classified according to the insured date; and the said premium executed by the processor determines the target according to the premium price corresponding to each acquired insurance plan
  • the initial price range corresponding to the insurance plan includes: screening out the effective insurance plan according to the premium price corresponding to each insurance plan in each type of insurance plan; and collecting the effective insurance plan selected by each type to obtain the effective insurance plan; according to the effective insurance The premium price corresponding to each insurance plan in the plan set determines the initial price range corresponding to the target insurance plan.
  • the historical insurance plan set that is matched by the processor according to the insurance factor to match the target insurance plan includes: determining, according to a category division rule corresponding to each of the insurance factors, each of the insurance factors a category; querying a historical insurance plan set that matches the target insurance plan according to a category to which each of the insurance factors belongs.
  • the processor is further configured to: obtain a compensation rate corresponding to each insurance plan in the historical insurance plan set; and determine, according to the payout rate corresponding to each of the insurance plans, the target insurance plan An average payout ratio; adjusting the premium price range corresponding to the target insurance plan according to the average payout ratio.
  • the insurance factor includes a number of businesses, a gender ratio, an age distribution, a regional factor, a business industry, and a security plan; and the performing, by the processor, searching according to the insurance factor and insuring the target
  • the plan matching historical insurance plan set includes: searching for a first insurance plan set matching the number of the enterprises, and searching, in the first insurance plan set, a second insurance plan set matching the gender ratio, in the The second insurance plan collectively searches for a third insurance plan set that matches the age distribution, and finds a fourth insurance plan set that matches the regional factor in the third insurance plan set, and searches for the fourth insurance plan set in the fourth insurance plan.
  • the enterprise industry-matched fifth insurance plan set finds a historical insurance plan set that matches the protection plan in the fifth insurance plan set.
  • a computer readable storage medium having stored thereon computer instructions that, when executed by a processor, implement the steps of: obtaining a target insurance plan for a premium to be evaluated from a database; extracting the target The insurance factor affecting the premium price in the insurance plan; searching for the historical insurance plan set matching the target insurance plan according to the insurance factor; obtaining the premium price corresponding to each insurance plan in the historical insurance plan; corresponding to each insurance plan obtained
  • the premium price determines an initial price interval corresponding to the target insurance plan; obtains the total premiums completed in the previous cycle, and determines a corresponding adjustment factor according to the total premium; and determines and describes according to the adjustment factor and the initial price interval
  • the premium price range corresponding to the target insurance plan is provided having stored thereon computer instructions that, when executed by a processor, implement the steps of: obtaining a target insurance plan for a premium to be evaluated from a database; extracting the target The insurance factor affecting the premium price in the insurance plan; searching for the historical insurance plan set matching the target insurance plan according to the insurance factor
  • the processor before the determining the initial price interval corresponding to the target insurance plan according to the premium price corresponding to each of the acquired insurance plans, is further configured to perform the following steps: acquiring each of the historical insurance plan sets The insured date corresponding to the insurance plan, the individual insurance plans in the historical insurance plan set are classified according to the insured date; and the said premium executed by the processor determines the target according to the premium price corresponding to each acquired insurance plan
  • the initial price range corresponding to the insurance plan includes: screening out the effective insurance plan according to the premium price corresponding to each insurance plan in each type of insurance plan; and collecting the effective insurance plan selected by each type to obtain the effective insurance plan; according to the effective insurance The premium price corresponding to each insurance plan in the plan set determines the initial price range corresponding to the target insurance plan.
  • the historical insurance plan set that is matched by the processor according to the insurance factor to match the target insurance plan includes: determining, according to a category division rule corresponding to each of the insurance factors, each of the insurance factors a category; querying a historical insurance plan set that matches the target insurance plan according to a category to which each of the insurance factors belongs.
  • the processor is further configured to: obtain a compensation rate corresponding to each insurance plan in the historical insurance plan set; and determine, according to the payout rate corresponding to each of the insurance plans, the target insurance plan An average payout ratio; adjusting the premium price range corresponding to the target insurance plan according to the average payout ratio.
  • the insurance factor includes a number of businesses, a gender ratio, an age distribution, a regional factor, a business industry, and a security plan; and the performing, by the processor, searching according to the insurance factor and insuring the target
  • the plan matching historical insurance plan set includes: searching for a first insurance plan set matching the number of the enterprises, and searching, in the first insurance plan set, a second insurance plan set matching the gender ratio, in the The second insurance plan collectively searches for a third insurance plan set that matches the age distribution, and finds a fourth insurance plan set that matches the regional factor in the third insurance plan set, and searches for the fourth insurance plan set in the fourth insurance plan.
  • the enterprise industry-matched fifth insurance plan set finds a historical insurance plan set that matches the protection plan in the fifth insurance plan set.
  • the foregoing storage medium may be a non-volatile storage medium such as a magnetic disk, an optical disk, a read-only memory (ROM), or a random access memory (RAM).

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Finance (AREA)
  • Engineering & Computer Science (AREA)
  • Development Economics (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • Marketing (AREA)
  • Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • Technology Law (AREA)
  • Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)

Abstract

本申请提出了一种团体保费评估的方法,包括:从数据库中获取待评估保费的目标投保方案,提取目标投保方案中影响保费价格的投保因素,根据投保因素查找与目标投保方案匹配的历史投保方案集,获取历史投保方案集中各个投保方案对应的保费价格,根据获取到的各个投保方案对应的保费价格确定目标投保方案对应的初始价格区间,获取上一周期完成的保费总额,根据保费总额确定相应的调整因子,根据调整因子和初始价格区间确定与目标投保方案对应的保费价格区间。

Description

团体保费评估的方法、装置、计算机设备及存储介质
本申请要求于2017年8月28日提交中国专利局、申请号为2017107520388、发明名称为“团体保费评估的方法、装置、计算机设备及存储介质”的中国专利申请的优先权,其全部内容通过引用结合在本申请中。
技术领域
本申请涉及计算机处理领域,特别是涉及一种团体保费评估的方法、装置、计算机设备及存储介质。
背景技术
随着保险行业的发展,越来越多的人开始进行投保。对于团体保险业务,保险公司往往由核保人员根据经验来人工报价,由于不同核保人员的经验认知不同,所以导致报价结果因人而异,显然,团体保费依靠人工报价没有统一的标准,准确度不高,且耗时耗力。
发明内容
根据本申请的各种实施例,提供一种团体保费评估的方法、装置、计算机设备及存储介质。
一种团体保费评估的方法,包括:
从数据库中获取待评估保费的目标投保方案;
提取所述目标投保方案中影响保费价格的投保因素;
根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
获取历史投保方案集中各个投保方案对应的保费价格;
根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应 的初始价格区间;
获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
一种团体保费评估的装置,包括:
方案获取模块,用于从数据库中获取待评估保费的目标投保方案;
提取模块,用于提取所述目标投保方案中影响保费价格的投保因素;
查找模块,用于根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
价格获取模块,用于获取历史投保方案集中各个投保方案对应的保费价格;
初始价格确定模块,用于根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;
调整因子确定模块,用于获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
保费价格确定模块,用于根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
一种计算机设备,包括存储器和一个或多个处理器,所述存储器中存储有计算机可读指令,所述计算机可读指令被所述一个或多个处理器执行时,使得所述一个或多个处理器执行以下步骤:
从数据库中获取待评估保费的目标投保方案;
提取所述目标投保方案中影响保费价格的投保因素;
根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
获取历史投保方案集中各个投保方案对应的保费价格;
根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;
获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
一个或多个存储有计算机可读指令的非易失性计算机可读存储介质,所述计算机可读指令被一个或多个处理器执行时,使得所述一个或多个处理器执行以下步骤:从数据库中获取待评估保费的目标投保方案;
提取所述目标投保方案中影响保费价格的投保因素;
根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
获取历史投保方案集中各个投保方案对应的保费价格;
根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;
获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
本申请的一个或多个实施例的细节在下面的附图和描述中提出。本申请的其它特征、目的和优点将从说明书、附图以及权利要求书变得明显。
附图说明
为了更清楚地说明本申请实施例中的技术方案,下面将对实施例描述中所需要使用的附图作简单地介绍,显而易见地,下面描述中的附图仅仅是本申请的一些实施例,对于本领域普通技术人员来讲,在不付出创造性劳动的前提下,还可以根据这些附图获得其他的附图。
图1为根据一个或多个实施例中团体保费评估的方法的应用场景图。
图2为根据一个或多个实施例中计算机设备的框图。
图3为根据一个或多个实施例中团体保费评估的方法流程图。
图4为另一个实施例中团体保费评估的方法流程图。
图5为根据一个或多个实施例中根据投保因素查找与目标投保方案匹配的历史投保方案集的方法流程图。
图6为又一个实施例中团体保费评估的方法流程图。
图7为根据一个或多个实施例中团体保费评估的装置框图。
图8为另一个实施例中团体保费评估的装置框图。
图9为又一个实施例中团体保费评估的装置框图。
具体实施方式
为了使本申请的技术方案及优点更加清楚明白,以下结合附图及实施例,对本申请进行进一步详细说明。应当理解,此处所描述的具体实施例仅仅用以解释本申请,并不用于限定本申请。
本申请提供的团体保费评估的方法,可以应用于如图1所示的应用场景中。终端102与服务器104通过网络进行通信。终端102可以但不限于是各种个人计算机、笔记本电脑、智能手机、平板电脑和便携式可穿戴设备,服务器104可以用独立的服务器或者是多个服务器组成的服务器集群来实现。首先,终端102向服务器104发送保费评估请求,服务器104从数据库中获取待评估保费的目标投保方案,提取目标投保方案中影响保费价格的投保因素,根据投保因素查找与目标投保方案匹配的历史投保方案集,获取历史投保方案集中各个投保方案对应的保费价格,根据获取到的各个投保方案对应的保费价格确定目标投保方案对应的初始价格区间,获取上一周期完成的保费总额,根据保费总额确定相应的调整因子,及根据调整因子和初始价格区间确定与目标投保方案对应的保费价格区间,然后将确定的保费价格区间发送给终端102。
图2为一个实施例中计算机设备的内部结构示意图,该计算机设备可以为服务器,也可以为终端。参照图2,该计算机设备包括通过系统总线连接的处理器、非易失性存储介质、内存储器和网络接口。该计算机设备的非易 失性存储介质可存储操作系统和计算机可读指令,该计算机可读指令被执行时,可使得处理器执行一种团体保费评估的方法。该计算机设备的处理器用于提供计算和控制能力,支撑整个计算机设备的运行。该内存储器中可储存有计算机可读指令,该计算机可读指令被处理器执行时,可使得处理器执行一种团体保费评估的方法。计算机设备的网络接口用于进行网络通信。本领域技术人员可以理解,图2中示出的结构,仅仅是与本申请方案相关的部分结构的框图,并不构成对本申请方案所应用于其上的计算机设备的限定,具体的计算机设备可以包括比图中所示更多或更少的部件,或者组合某些部件,或者具有不同的部件布置。
如图3所示,提出了一种团体保费评估的方法,该方法包括:
步骤302,从数据库中获取待评估保费的目标投保方案。
在其中一个实施例中,投保方案中记载了团体投保的信息,包括:投保人数、投保人的性别、年龄、所在地区、企业行业信息以及相应的保障方案。保障方案包括险种信息和保额信息。目标投保方案是指本次待评估保费的投保方案。待投保保费的目标投保方案是预先存储在数据库中,所以当需要处理该目标投保方案时,从数据库预设的位置获取相应的待评估的目标投保方案。
步骤304,提取目标投保方案中影响保费价格的投保因素。
在其中一个实施例中,投保方案的保费价格具体是由该投保方案中的投保因素决定的。投保因素包括:企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案。企业人数是指该次投保参与投保的人数,性别占比是指投保人数中男女比例;年龄分布是指投保人中年龄阶段的分布,一般包括两个方面,一个是平均年龄,一个是极端年龄,极端年龄是指大于60岁以上的年龄,这类年龄风险比较大,所以需要单独考虑,地区因子是指所在的地区因素;企业行业是指该企业所处的行业,不同行业的风险不同,保障方案是指投保的险种和相应的保额。
步骤306,根据投保因素查找与目标投保方案匹配的历史投保方案集。
在其中一个实施例中,在确定了投保因素后,根据各个投保因素查找与目标投保方案匹配的历史投保方案集,历史投保方案集是指与目标投保方案中各个投保因素匹配的历史投保方案的集合。在一个实施例中,投保因素包括:企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案。采用遍历的方式查找与目标投保方案匹配的历史投保方案集,首先可以查找与企业人数匹配的历史投保方案集Z1,然后在Z1中查找与性别占比匹配的历史投保方案集Z2,在Z2中查找与年龄分布匹配的历史投保方案集Z3,在Z3中查找与地区因子匹配的历史投保方案集Z4,在Z4中查找与企业行业匹配的历史投保方案集Z5,在Z5中查找与保障方案匹配的历史投保方案集Z6,Z6即为查找到的与目标投保方案匹配的历史投保方案集。
步骤308,获取历史投保方案集中各个投保方案对应的保费价格。
在其中一个实施例中,获取到的历史投保方案都是与本次的目标投保方案具有相同投保因素的方案,所以历史投保方案对应的保费价格对于本次的目标投保方案具有重要的参考作用。历史投保方案都是已经确定过保费价格的方案,所以提取到历史投保方案后,就可以查找与各个历史投保方案对应的保费价格。
步骤310,根据获取到的各个投保方案对应的保费价格确定目标投保方案对应的初始价格区间。
在其中一个实施例中,将获取到的历史投保方案集中各个投保方案对应的保费价格按照从小到大的顺序进行排列,然后根据保费价格中的最大值和最小值确定目标投保方案对应的初始价格区间。由于历史投保方案中的保费价格有可能出现异常数据,比如,数据太大或太小。所以为了更准确的定位保费价格,在一个实施例中,还需要对获取到的保费价格进行降噪处理,具体降噪的方式可以通过剔除价格前10%和后10%的数据,这样就可以得到一个比较合理稳定的初始价格区间。
步骤312,获取上一周期完成的保费总额,根据保费总额确定相应的调整因子。
在其中一个实施例中,保费总额是指保费的总的金额。可以将一个季度作为一个周期,统计上一周期完成的保费总额,然后根据上一周期完成的保费总额确定相应的调整因子,比如公司上个经营周期的保费总额是否达到了预设的标准水平,如果是刚好达到,则调整因子X设为1,如果高于标准水平,则X因子根据经营情况自动上升,如果低于标准水平,则X因子自动下降,比如,保费总额低于标准水平10%,则X因子也下降10%。通过根据公司上一个周期的经营情况(保费总额)自动设定调整因子,实现了对初始价格区间进行相应的调整来适应公司实际的需求。
步骤314,根据调整因子和初始价格区间确定与目标投保方案对应的保费价格区间。
在其中一个实施例中,目标投保方案对应的保费价格区间=调整因子*初始价格区间。所以根据确定的调整因子和初始价格区间就可以确定与目标投保方案对应的保费价格区间。
上述团体保费评估的方法,通过获取待评估保费的目标投保方案,提取目标投保方案中影响保费价格的投保因素,根据投保因素查找与目标投保方案匹配的历史投保方案集,获取历史投保方案集中各个投保方案对应的保费价格,根据各个投保方案对应的保费价格确定目标投保方案对应的初始价格区间,获取上一周期完成的保费总额,根据保费总额确定相应的调整因子,根据调整因子和初始价格区间确定与目标投保方案对应的保费价格区间,该方法根据历史投保方案来确定目标投保方案对应的保费价格区间,整个过程全自动完成,省时省力,且评估的标准统一,准确性高。
如图4所示,在一个实施例中,提出了另一种团体保费评估的方法,该方法包括:
步骤401,从数据库中获取待评估保费的目标投保方案。
步骤402,提取目标投保方案中影响保费价格的投保因素。
步骤403,根据投保因素查找与目标投保方案匹配的历史投保方案集。
步骤404,获取历史投保方案集中各个投保方案对应的保费价格。
步骤405,获取历史投保方案集中各个投保方案对应的投保日期,根据投保日期将历史投保方案集中的各个投保方案进行分类。
步骤406,根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案。
步骤407,将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集。
步骤408,根据有效投保方案集中各个投保方案对应的保费价格确定与目标投保方案对应的初始价格区间。
步骤409,获取上一周期完成的保费总额,根据保费总额确定相应的调整因子。
步骤410,根据调整因子和初始价格区间确定与目标投保方案对应的保费价格区间。
在其中一个实施例中,获取到与目标投保方案匹配的历史投保方案集后,为了得到一个比较合理的投保方案集,需要对获取到的历史投保方案进行去噪处理。具体地,获取历史投保方案集中各个投保方案对应的投保日期,然后根据对应的投保日期进行分类。举个例子,按照年份将历史投保方案集中的各个投保方案进行分类,可以将每一年的作为一类,比如,2012年的作为一类,2013年的作为一类,2014年的作为一类等等。当然也可以将2000年之前的作为一类,2000-2010年之间的作为一类,2010年之后的作为一类,具体可以根据实际情况进行调整设置。由于每一类投保方案都可能存在异常数据,比如数据太大或大小,所以可以分别对每一类投保方案进行去噪处理,去噪处理可以采用剔除每一类投保方案集中保费价格在前5%和后5%的数据,然后筛选出来的投保方案作为有效投保方案。然后将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集,根据有效投保方案集中各个投保方案对应的保费价格中的最大值和最小值确定与目标投保方案对应的初始价格区间。通过将历史投保方案集按照投保日期分类然后筛选,这样有利于 均衡的获取到具有较大参考价值的有效投保方案集,继而根据有效投保方案集确定与目标投保方案对应的初始价格区间,并根据计算得到的调整因子和初始价格区间来计算得到与目标投保方案对应的保费价格区间。
如图5所示,在一个实施例中,根据投保因素查找与目标投保方案匹配的历史投保方案集的步骤306包括:
步骤306A,根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别。
在其中一个实施例中,预先设置每个投保因素对应的类别划分规则,这样获取到每个投保因素后,就可以根据投保因素确定相应的类别,便于后续进行匹配。具体地,不同的投保因素所对应的类别划分规则不同。在一个实施例中,投保因素包括:企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案。举个例子,比如可以根据企业人数将企业分为微型企业、小型企业、中型企业和大型企业这四大类企业,为了更准确的匹配,还可以进行更细微的划分,比如,在每一类企业下根据具体人数的不同,又可以分为不同的级别,假设500-2000人对应的为中型企业,根据具体人数又可以在中型企业下分为5个等级,比如,500-800为一级,800-1100为二级,1100-1400为三级,1400-1700为四级,1700-2000为五级。同样地,可以根据性别占比进行相应的类别划分,比如,将男女比例在1:100-1:80之间的归为一类,将1:80-1:50之间的归为一类等等,根据实际情况对性别占比进行类别的划分。
步骤306B,根据各个投保因素所属的类别查询与目标投保方案匹配的历史投保方案集。
在其中一个实施例中,如果根据各个投保因素本身的值进行匹配的话,那么获取到的与各个投保因素完全匹配的历史投保方案集将会很少,因为每个投保因素本身的值有很多种,很难找到与之前完全匹配的历史投保方案集。比如,假设投保因素包括企业人数。假设A企业人数有50个,B企业人数有52个,而待评估保费的企业人数为51个,那么如果仅仅是根据企业人数本身来匹配,A企业人数和B企业人数由于与待评估的企业人数都不相同则无 法匹配上,事实上,A企业人数和B企业人数与待评估的企业人数基本相同,完全具有参考价值。所以为了更好的获取具有参考价值的历史投保方案集,首先将各个投保因素进行分类,然后根据各个投保因素所属的类别查询与目标投保方案匹配的历史投保方案集。
如图6所示,在一个实施例中,上述团体保费评估评估的方法还包括:
步骤316,获取历史投保方案集中各个投保方案对应的赔付率。
在其中一个实施例中,赔付率=保障方案赔付金额/保障方案保费。获取历史投保方案集中各个投保方案的赔付率便于了解历史的投保方案的赔付情况,如果赔付率过高说明之前的保费价格不合理,需要进行调整。
步骤318,根据各个投保方案对应的赔付率确定目标投保方案对应的平均赔付率。
在其中一个实施例中,在获取到历史投保方案集中各个投保方案对应的赔付率后,根据各个投保方案对应的赔付率计算得到与目标投保方案对应的平均赔付率。在一个实施例中,在计算平均赔付率之前,首先对各个投保方案对应的赔付率进行去噪处理,比如,剔除前10%和后10%的赔付率。然后根据剩下的赔付率通过累加平均得到平均赔付率,即得到与目标投保方案对应的平均赔付率。
步骤320,根据平均赔付率调整目标投保方案对应的保费价格区间。
在其中一个实施例中,在计算得到平均赔付率后,判断该平均赔付率是否大于预设的第一阈值,预设的第一阈值是根据经验值设置的,若大于预设的第一阈值,说明当前的保费价格过低,需要上调相应的保费价格。在另一个实施例中,还需要判断平均赔付率是否小于预设的第二阈值,若小于预设的第二阈值,说明当前的保费价格过高,需要适当调低相应的保费价格。如果平均赔付率在第二阈值和第一阈值之间,则不需要调整上述保费价格区间,在一些实施例中,第二阈值小于第一阈值。
在一个实施例中,所述投保因素包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案;根据所述投保因素查找与所述目标投保方 案匹配的历史投保方案集的步骤306包括:查找与所述企业人数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
在其中一个实施例中,投保因素具体包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案。通过循环遍历的方式依次查找与企业人数匹配的第一投保方案集A1,然后在A1中查找与性别占比匹配的第二投保方案集A2,在A2中查找与年龄分布匹配的第三投保方案集A3,在A3中查找与地区因子匹配的第四投保方案集A4,在A4中查找与企业行业匹配的第五投保方案集A5,在A5中查找与保障方案匹配的投保方案即为与目标投保方案匹配的历史投保方案集。
应该理解的是,虽然图3至6的流程图中的各个步骤按照箭头的指示依次显示,但是这些步骤并不是必然按照箭头指示的顺序依次执行。除非本文中有明确的说明,这些步骤的执行并没有严格的顺序限制,这些步骤可以以其它的顺序执行。而且,图3至6中的至少一部分步骤可以包括多个子步骤或者多个阶段,这些子步骤或者阶段并不必然是在同一时刻执行完成,而是可以在不同的时刻执行,这些子步骤或者阶段的执行顺序也不必然是依次进行,而是可以与其它步骤或者其它步骤的子步骤或者阶段的至少一部分轮流或者交替地执行。
如图7所示,在一个实施例中,提出了一种团体保费评估的装置,该装置包括:
方案获取模块702,用于从数据库中获取待评估保费的目标投保方案。
提取模块704,用于提取目标投保方案中影响保费价格的投保因素。
查找模块706,用于根据投保因素查找与目标投保方案匹配的历史投保 方案集。
价格获取模块708,用于获取历史投保方案集中各个投保方案对应的保费价格。
初始价格确定模块710,用于根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间。
调整因子确定模块712,用于获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子。
保费价格确定模块714,用于根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
如图8所示,在一个实施例中,上述团体保费评估的装置还包括:
分类模块709,用于获取历史投保方案集中各个投保方案对应的投保日期,根据所述投保日期将所述历史投保方案集中的各个投保方案进行分类;
所述初始价格确定模块710还用于根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案,将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集,根据有效投保方案集中各个投保方案对应的保费价格确定与目标投保方案对应的初始价格区间。
在一个实施例中,查找模块706还用于根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别,根据所述各个投保因素所属的类别查询与所述目标投保方案匹配的历史投保方案集。
如图9所示,在一个实施例中,上述团体保费评估的装置还包括:
赔付率获取模块716,用于获取所述历史投保方案集中各个投保方案对应的赔付率;
平均赔付率确定模块718,用于根据所述各个投保方案对应的赔付率确定所述目标投保方案对应的平均赔付率;
调整模块720,用于根据所述平均赔付率调整所述目标投保方案对应的所述保费价格区间。
在一个实施例中,所述投保因素包括企业人数、性别占比、年龄分布、 地区因子、企业行业和保障方案;所述查找模块706还用于查找与所述企业人数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在所述第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
上述团体保费评估的装置中的各个模块可全部或部分通过软件、硬件及其组合来实现。在一些实施例中,网络接口可以是以太网卡或无线网卡等。上述各模块可以硬件形式内嵌于或独立于服务器中的处理器中,也可以以软件形式存储于服务器中的存储器中,以便于处理器调用执行以上各个模块对应的操作。该处理器可以为中央处理单元(CPU)、微处理器、单片机等。
上述团体保费评估的装置可以实现为一种计算机可读指令的形式,计算机可读指令可以在如图2所示的计算机设备上运行。
本申请实施例提出了一种计算机设备,计算机设备的内部结构可对应于如图2所示的结构,即该计算机设备既可以是服务器也可以是终端,其包括一系列存储于存储器上的计算机可读指令,当该计算机可读指令被处理器执行时,可以实现本申请各实施例提出的团体保费评估的方法。在一个实施例中,计算机设备包括存储器、处理器及存储在所述存储器上并可在所述处理器上运行的计算机可读指令,所述处理器执行所述计算机可读指令时实现以下步骤:从数据库中获取待评估保费的目标投保方案;提取所述目标投保方案中影响保费价格的投保因素;根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;获取历史投保方案集中各个投保方案对应的保费价格;根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
在一个实施例中,在所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间之前,所述处理器还用于执行以下步骤:获取历史投保方案集中各个投保方案对应的投保日期,根据所述投保日期将所述历史投保方案集中的各个投保方案进行分类;所述处理器所执行的所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间包括:根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案;将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集;根据有效投保方案集中各个投保方案对应的保费价格确定与目标投保方案对应的初始价格区间。
在一个实施例中,所述处理器所执行的所述根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别;根据所述各个投保因素所属的类别查询与所述目标投保方案匹配的历史投保方案集。
在一个实施例中,所述处理器还用于执行以下步骤:获取所述历史投保方案集中各个投保方案对应的赔付率;根据所述各个投保方案对应的赔付率确定所述目标投保方案对应的平均赔付率;根据所述平均赔付率调整所述目标投保方案对应的所述保费价格区间。
在一个实施例中,所述投保因素包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案;所述处理器所执行的所述根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:查找与所述企业人数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在所述第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
在一个实施例中,提出了一种计算机可读存储介质,其上存储有计算机 指令,该指令被处理器执行时实现以下步骤:从数据库中获取待评估保费的目标投保方案;提取所述目标投保方案中影响保费价格的投保因素;根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;获取历史投保方案集中各个投保方案对应的保费价格;根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
在一个实施例中,在所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间之前,所述处理器还用于执行以下步骤:获取历史投保方案集中各个投保方案对应的投保日期,根据所述投保日期将所述历史投保方案集中的各个投保方案进行分类;所述处理器所执行的所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间包括:根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案;将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集;根据有效投保方案集中各个投保方案对应的保费价格确定与目标投保方案对应的初始价格区间。
在一个实施例中,所述处理器所执行的所述根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别;根据所述各个投保因素所属的类别查询与所述目标投保方案匹配的历史投保方案集。
在一个实施例中,所述处理器还用于执行以下步骤:获取所述历史投保方案集中各个投保方案对应的赔付率;根据所述各个投保方案对应的赔付率确定所述目标投保方案对应的平均赔付率;根据所述平均赔付率调整所述目标投保方案对应的所述保费价格区间。
在一个实施例中,所述投保因素包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案;所述处理器所执行的所述根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:查找与所述企业人 数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在所述第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程,是可以通过计算机可读指令来指令相关的硬件来完成,该计算机可读指令可存储于一计算机可读取存储介质中,该程序在执行时,可包括如上述各方法的实施例的流程。前述的存储介质可为磁碟、光盘、只读存储记忆体(Read-Only Memory,ROM)等非易失性存储介质,或随机存储记忆体(Random Access Memory,RAM)等。
以上所述实施例的各技术特征可以进行任意的组合,为使描述简洁,未对上述实施例中的各个技术特征所有可能的组合都进行描述,然而,只要这些技术特征的组合不存在矛盾,都应当认为是本说明书记载的范围。
以上所述实施例仅表达了本申请的几种实施方式,其描述较为具体和详细,但并不能因此而理解为对发明专利范围的限制。应当指出的是,对于本领域的普通技术人员来说,在不脱离本申请构思的前提下,还可以做出若干变形和改进,这些都属于本申请的保护范围。因此,本申请专利的保护范围应以所附权利要求为准。

Claims (20)

  1. 一种团体保费评估的方法,包括:
    从数据库中获取待评估保费的目标投保方案;
    提取所述目标投保方案中影响保费价格的投保因素;
    根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
    获取历史投保方案集中各个投保方案对应的保费价格;
    根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;
    获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
    根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
  2. 根据权利要求1所述的方法,其特征在于,在所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间之前还包括:
    获取历史投保方案集中各个投保方案对应的投保日期;
    根据所述投保日期将所述历史投保方案集中的各个投保方案进行分类;
    所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间包括:
    根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案;
    将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集;及
    根据有效投保方案集中各个投保方案对应的保费价格确定与目标投保方案对应的初始价格区间。
  3. 根据权利要求1所述的方法,其特征在于,所述根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:
    根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别; 及
    根据所述各个投保因素所属的类别查询与所述目标投保方案匹配的历史投保方案集。
  4. 根据权利要求1所述的方法,其特征在于,所述方法还包括:
    获取所述历史投保方案集中各个投保方案对应的赔付率;
    根据所述各个投保方案对应的赔付率确定所述目标投保方案对应的平均赔付率;及
    根据所述平均赔付率调整所述目标投保方案对应的所述保费价格区间。
  5. 根据权利要求1所述的方法,其特征在于,所述投保因素包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案;
    根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:
    查找与所述企业人数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在所述第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
  6. 一种团体保费评估的装置,包括:
    方案获取模块,用于从数据库中获取待评估保费的目标投保方案;
    提取模块,用于提取所述目标投保方案中影响保费价格的投保因素;
    查找模块,用于根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
    价格获取模块,用于获取历史投保方案集中各个投保方案对应的保费价格;
    初始价格确定模块,用于根据获取到的各个投保方案对应的保费价格确 定所述目标投保方案对应的初始价格区间;
    调整因子确定模块,用于获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
    保费价格确定模块,用于根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
  7. 根据权利要求6所述的装置,其特征在于,所述装置还包括:
    分类模块,用于获取历史投保方案集中各个投保方案对应的投保日期,根据所述投保日期将所述历史投保方案集中的各个投保方案进行分类;及
    所述初始价格确定模块还用于根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案,将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集,根据有效投保方案集中各个投保方案对应的保费价格确定与目标投保方案对应的初始价格区间。
  8. 根据权利要求6所述的装置,其特征在于,所述查找模块还用于根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别,根据所述各个投保因素所属的类别查询与所述目标投保方案匹配的历史投保方案集。
  9. 根据权利要求6所述的装置,其特征在于,所述装置还包括:
    赔付率获取模块,用于获取所述历史投保方案集中各个投保方案对应的赔付率;
    平均赔付率确定模块,用于根据所述各个投保方案对应的赔付率确定所述目标投保方案对应的平均赔付率;及
    调整模块,用于根据所述平均赔付率调整所述目标投保方案对应的所述保费价格区间。
  10. 根据权利要求6所述的装置,其特征在于,所述投保因素包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案;
    所述查找模块还用于查找与所述企业人数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投 保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在所述第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
  11. 一种计算机设备,包括存储器和一个或多个处理器,所述存储器中存储有计算机可读指令,所述计算机可读指令被所述一个或多个处理器执行时,使得所述一个或多个处理器执行以下步骤:
    从数据库中获取待评估保费的目标投保方案;
    提取所述目标投保方案中影响保费价格的投保因素;
    根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
    获取历史投保方案集中各个投保方案对应的保费价格;
    根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;
    获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
    根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
  12. 根据权利要求11所述的计算机设备,其特征在于,所述处理器在执行所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间的步骤之前,还用于执行以下步骤:
    获取历史投保方案集中各个投保方案对应的投保日期;
    根据所述投保日期将所述历史投保方案集中的各个投保方案进行分类;及
    所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间包括:根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案;将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集;根据有效投保方案集中各个投保方案对应的保费价格确 定与目标投保方案对应的初始价格区间。
  13. 根据权利要求11所述的计算机设备,其特征在于,所述根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别,根据所述各个投保因素所属的类别查询与所述目标投保方案匹配的历史投保方案集。
  14. 根据权利要求11所述的计算机设备,其特征在于,所述处理器还用于执行以下步骤:
    获取所述历史投保方案集中各个投保方案对应的赔付率;
    根据所述各个投保方案对应的赔付率确定所述目标投保方案对应的平均赔付率;及
    根据所述平均赔付率调整所述目标投保方案对应的所述保费价格区间。
  15. 根据权利要求11-14任一所述的计算机设备,其特征在于,所述投保因素包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案;
    根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:
    查找与所述企业人数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在所述第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
  16. 一个或多个存储有计算机可读指令的非易失性计算机可读存储介质,所述计算机可读指令被一个或多个处理器执行时,使得所述一个或多个处理器执行以下步骤:
    从数据库中获取待评估保费的目标投保方案;
    提取所述目标投保方案中影响保费价格的投保因素;
    根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集;
    获取历史投保方案集中各个投保方案对应的保费价格;
    根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间;
    获取上一周期完成的保费总额,根据所述保费总额确定相应的调整因子;及
    根据所述调整因子和所述初始价格区间确定与所述目标投保方案对应的保费价格区间。
  17. 根据权利要求16所述的存储介质,其特征在于,所述处理器在执行所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间的步骤之前,还用于执行以下步骤:
    获取历史投保方案集中各个投保方案对应的投保日期;
    根据所述投保日期将所述历史投保方案集中的各个投保方案进行分类;及
    所述根据获取到的各个投保方案对应的保费价格确定所述目标投保方案对应的初始价格区间包括:根据每一类投保方案集中各个投保方案对应的保费价格筛选出有效投保方案;将每一类筛选出来的有效投保方案进行聚合得到有效投保方案集;根据有效投保方案集中各个投保方案对应的保费价格确定与目标投保方案对应的初始价格区间。
  18. 根据权利要求16所述的存储介质,其特征在于,所述根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:根据各个投保因素对应的类别划分规则确定各个投保因素所属的类别;根据所述各个投保因素所属的类别查询与所述目标投保方案匹配的历史投保方案集。
  19. 根据权利要求16所述的存储介质,其特征在于,所述处理器还用于执行以下步骤:
    获取所述历史投保方案集中各个投保方案对应的赔付率;
    根据所述各个投保方案对应的赔付率确定所述目标投保方案对应的平均赔付率;及
    根据所述平均赔付率调整所述目标投保方案对应的所述保费价格区间。
  20. 根据权利要求16-19任一所述的存储介质,其特征在于,所述投保因素包括企业人数、性别占比、年龄分布、地区因子、企业行业和保障方案;
    根据所述投保因素查找与所述目标投保方案匹配的历史投保方案集包括:
    查找与所述企业人数匹配的第一投保方案集,在所述第一投保方案集中查找与所述性别占比匹配的第二投保方案集,在所述第二投保方案集中查找与所述年龄分布匹配的第三投保方案集,在所述第三投保方案集中查找与所述地区因子匹配的第四投保方案集,在所述第四投保方案集中查找与所述企业行业匹配的第五投保方案集,在所述第五投保方案集中查找与所述保障方案匹配的历史投保方案集。
PCT/CN2018/076823 2017-08-28 2018-02-14 团体保费评估的方法、装置、计算机设备及存储介质 WO2019041764A1 (zh)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201710752038.8 2017-08-28
CN201710752038.8A CN107679884A (zh) 2017-08-28 2017-08-28 团体保费评估的方法、装置、计算机设备及存储介质

Publications (1)

Publication Number Publication Date
WO2019041764A1 true WO2019041764A1 (zh) 2019-03-07

Family

ID=61135328

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2018/076823 WO2019041764A1 (zh) 2017-08-28 2018-02-14 团体保费评估的方法、装置、计算机设备及存储介质

Country Status (2)

Country Link
CN (1) CN107679884A (zh)
WO (1) WO2019041764A1 (zh)

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN107679884A (zh) * 2017-08-28 2018-02-09 平安科技(深圳)有限公司 团体保费评估的方法、装置、计算机设备及存储介质
CN108564421B (zh) * 2018-05-07 2023-04-28 中国平安财产保险股份有限公司 车辆保险定价方法、装置、设备和计算机存储介质
CN110136011A (zh) * 2019-05-09 2019-08-16 泰康保险集团股份有限公司 保险智能报价方法、装置、介质及电子设备
CN111309870B (zh) * 2020-03-04 2022-11-18 平安养老保险股份有限公司 数据快速搜索方法、装置及计算机设备
CN112634062B (zh) * 2020-11-17 2023-07-21 平安科技(深圳)有限公司 基于Hadoop的数据处理方法、装置、设备及存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8185416B1 (en) * 2002-07-23 2012-05-22 Jacobson Neil L Method for linking insurance policies
CN106528848A (zh) * 2016-11-25 2017-03-22 中国平安财产保险股份有限公司 基于车险智能定损平台的配件历史报价查询方法及系统
CN106780045A (zh) * 2016-11-15 2017-05-31 平安科技(深圳)有限公司 保单信息批改方法和装置
CN106991613A (zh) * 2016-01-21 2017-07-28 平安科技(深圳)有限公司 团体采购的数据处理方法和装置
CN107679884A (zh) * 2017-08-28 2018-02-09 平安科技(深圳)有限公司 团体保费评估的方法、装置、计算机设备及存储介质

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8185416B1 (en) * 2002-07-23 2012-05-22 Jacobson Neil L Method for linking insurance policies
CN106991613A (zh) * 2016-01-21 2017-07-28 平安科技(深圳)有限公司 团体采购的数据处理方法和装置
CN106780045A (zh) * 2016-11-15 2017-05-31 平安科技(深圳)有限公司 保单信息批改方法和装置
CN106528848A (zh) * 2016-11-25 2017-03-22 中国平安财产保险股份有限公司 基于车险智能定损平台的配件历史报价查询方法及系统
CN107679884A (zh) * 2017-08-28 2018-02-09 平安科技(深圳)有限公司 团体保费评估的方法、装置、计算机设备及存储介质

Also Published As

Publication number Publication date
CN107679884A (zh) 2018-02-09

Similar Documents

Publication Publication Date Title
WO2019041764A1 (zh) 团体保费评估的方法、装置、计算机设备及存储介质
CN110363387B (zh) 基于大数据的画像分析方法、装置、计算机设备及存储介质
WO2021052031A1 (zh) 基于统计四分位距的商品库存风险预警方法、系统及计算机可读存储介质
WO2019218699A1 (zh) 欺诈交易判断方法、装置、计算机设备和存储介质
US11023534B2 (en) Classification method and a classification device for service data
WO2019085064A1 (zh) 医疗理赔拒付方法、装置、终端设备及存储介质
CN109063945B (zh) 一种基于价值评估体系的售电公司360度客户画像构建方法
WO2019056681A1 (zh) 数据实时监控方法、装置、终端设备及存储介质
WO2019019798A1 (zh) 贷款产品的查询装置、方法及计算机可读存储介质
JP2020123401A (ja) 資産情報のディスプレイ方法
US11494860B2 (en) Systems and methods for implementing search and recommendation tools for attorney selection
CN109493086B (zh) 一种确定违规商户的方法及装置
CN108897821B (zh) 自动生成数据结论的方法及装置
CN110610431A (zh) 基于大数据的智能理赔方法及智能理赔系统
WO2019085463A1 (zh) 部门需求的推荐方法、应用服务器及计算机可读存储介质
CN109558409B (zh) 数据处理方法及装置
WO2020140681A1 (zh) 数值计算方法、装置、计算机设备和存储介质
WO2021174699A1 (zh) 用户筛选方法、装置、设备及存储介质
CN115879017A (zh) 一种电力敏感数据自动化分类分级方法、装置及存储介质
CN110796379B (zh) 业务渠道的风险评估方法、装置、设备及存储介质
WO2019196502A1 (zh) 营销活动质量评估方法、服务器及计算机可读存储介质
CN116468547A (zh) 一种基于数据挖掘的信用卡资源分配方法及系统
CN114625975B (zh) 一种基于知识图谱的客户行为分析系统
WO2019218517A1 (zh) 服务器、文本数据的处理方法及存储介质
CN115879819A (zh) 企业信用评估方法及装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18849538

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205 DATED 23/09/2020)

122 Ep: pct application non-entry in european phase

Ref document number: 18849538

Country of ref document: EP

Kind code of ref document: A1