CN108961069A - Electronic device, personal insurance application data processing method and computer storage medium - Google Patents
Electronic device, personal insurance application data processing method and computer storage medium Download PDFInfo
- Publication number
- CN108961069A CN108961069A CN201810507864.0A CN201810507864A CN108961069A CN 108961069 A CN108961069 A CN 108961069A CN 201810507864 A CN201810507864 A CN 201810507864A CN 108961069 A CN108961069 A CN 108961069A
- Authority
- CN
- China
- Prior art keywords
- insurance application
- index
- insurance
- analyzed
- prediction
- Prior art date
- Legal status (The legal status 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 status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/08—Insurance
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
- G06Q30/0631—Item recommendations
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Development Economics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Educational Administration (AREA)
- Entrepreneurship & Innovation (AREA)
- Technology Law (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Financial Or Insurance-Related Operations Such As Payment And Settlement (AREA)
Abstract
The present invention discloses a kind of electronic device, personal insurance application data processing method and computer storage medium.The present invention in real time or timing acquisition user the corresponding insurance application information of insurance application, when receiving analysis instruction, determine the corresponding presupposition analysis rule of analysis condition and insurance application to be analyzed, it is analyzed and processed according to characteristic of the presupposition analysis rule to insurance application to be analyzed, and generates analysis report.Compared to the prior art, the present invention improves the efficiency and convenience of insurance application information analysis.
Description
Technical field
The present invention relates to field of computer technology, in particular to a kind of electronic device, personal insurance application data processing method
And computer storage medium.
Background technique
Currently, more and more people buy multinomial insurance with the raising of insurance awareness, for example, life insurance, vehicle insurance,
Accident insurance, the insurance of Investment & Financing class etc..A multitude of names of insurance, and the insurance money rate of every kind of insurance, the insurance money means of payment, guarantor
Dangerous time limit, insurance coverage etc. are all different, the management when policy holder's insured items is more, for multiple insurance application information
Then become problem, if desired user further analyzes itself state of insuring, then its process is even more very complicated.Therefore,
The efficiency and convenience for how improving insurance application information analysis become a urgent problem to be solved.
Summary of the invention
The main object of the present invention is to provide a kind of electronic device, personal insurance application data processing method and computer storage
Medium, it is intended to improve the efficiency and convenience of insurance application information analysis.
To achieve the above object, the present invention provides a kind of electronic device, and the electronic device includes memory and processor,
Personal insurance application data processor is stored on the memory, individual's insurance application data processor is by the processing
Device realizes following steps when executing:
Real-time or timing acquisition user insurance application information；
According to the insurance application information of acquisition, the characteristic of each insurance application is extracted；
When receiving the analysis instruction for carrying analysis condition, determine the analysis condition corresponding presupposition analysis rule and
Insurance application to be analyzed；
It is analyzed and processed, and is based on according to characteristic of the determining presupposition analysis rule to the insurance application to be analyzed
Analysis handles resulting analysis result data and generates analysis report.
Preferably, the presupposition analysis rule includes code of points, and the code of points includes:
Score index is extracted in the characteristic of each insurance application to be analyzed；
According to the mapping relations of the predetermined Score index and scoring formula, determine that each Score index is corresponding
Scoring formula；
Using the corresponding scoring formula of determining each Score index, the index score of each Score index is calculated；
It is corresponding according to the index score for all Score indexes being calculated and predetermined each Score index
Index weights calculate the scoring of insuring of user.
Preferably, the presupposition analysis rule further includes recommendation rules, and the recommendation rules include:
Whether judge in the characteristic of an insurance application to be analyzed comprising all recommendation reference indexs；
When in the characteristic for determining the insurance application to be analyzed including all recommendation reference indexs, it is described to
It analyzes in the characteristic of insurance application and extracts the corresponding recommendation reference index data of the insurance application to be analyzed；Otherwise, not to institute
It states insurance application to be analyzed and carries out recommendation process；
According to predetermined matching rule and the recommendation reference index, in insurance new product database described in lookup
The matched association insurance products of insurance application to be analyzed, and obtain the corresponding recommendation reference of each association insurance products searched and obtained and refer to
Mark data；
When the recommendation reference index data that the recommendation reference index data of an insurance application to be analyzed are associated with insurance products with one
Meet default recommendation condition, then by the association insurance products labeled as recommendation insurance products.
Preferably, the presupposition analysis rule further includes prediction rule, and the prediction rule includes:
Judge in the characteristic of an insurance application to be analyzed with the presence or absence of prediction index；
When the prediction index is not present in the characteristic of the insurance application to be analyzed, not to the insurance application to be analyzed
Carry out prediction processing；
When in the characteristic of the insurance application to be analyzed there are when the prediction index, in the insurance application to be analyzed
The corresponding prediction index of the insurance application to be analyzed is extracted in characteristic；
According to the mapping relations of pre-set prediction index and predictor formula, determine that each prediction index is corresponding pre-
Method of determining and calculating；
Using the corresponding prediction algorithm of each prediction index, the prediction result of each prediction index is calculated, to obtain
The corresponding prediction result of the insurance application to be analyzed.
Preferably, the processor executes the personal insurance application data processor, also performs the steps of
When receiving the inquiry instruction for carrying querying condition, according to the querying condition, output and the querying condition
Corresponding query result, the query result include insurance application information corresponding with the querying condition and/or analysis report.
In addition, to achieve the above object, the present invention also provides a kind of personal insurance application data processing method, this method includes
Step:
Real-time or timing acquisition user insurance application information；
According to the insurance application information of acquisition, the characteristic of each insurance application is extracted；
When receiving the analysis instruction for carrying analysis condition, determine the analysis condition corresponding presupposition analysis rule and
Insurance application to be analyzed；
It is analyzed and processed, and is based on according to characteristic of the determining presupposition analysis rule to the insurance application to be analyzed
Analysis handles resulting analysis result data and generates analysis report.
Preferably, the presupposition analysis rule includes code of points, and the code of points includes:
Score index is extracted in the characteristic of each insurance application to be analyzed；
According to the mapping relations of the predetermined Score index and scoring formula, determine that each Score index is corresponding
Scoring formula；
Using the corresponding scoring formula of determining each Score index, the index score of each Score index is calculated；
It is corresponding according to the index score for all Score indexes being calculated and predetermined each Score index
Index weights calculate the scoring of insuring of user.
Preferably, the presupposition analysis rule further includes recommendation rules, and the recommendation rules include:
Whether judge in the characteristic of an insurance application to be analyzed comprising all recommendation reference indexs；
When in the characteristic for determining the insurance application to be analyzed including all recommendation reference indexs, it is described to
It analyzes in the characteristic of insurance application and extracts the corresponding recommendation reference index data of the insurance application to be analyzed；Otherwise, not to institute
It states insurance application to be analyzed and carries out recommendation process；
According to predetermined matching rule and the recommendation reference index, in insurance new product database described in lookup
The matched association insurance products of insurance application to be analyzed, and obtain the corresponding recommendation reference of each association insurance products searched and obtained and refer to
Mark data；
When the recommendation reference index data that the recommendation reference index data of an insurance application to be analyzed are associated with insurance products with one
Meet default recommendation condition, then by the association insurance products labeled as recommendation insurance products.
Preferably, the presupposition analysis rule further includes prediction rule, and the prediction rule includes:
Judge in the characteristic of an insurance application to be analyzed with the presence or absence of prediction index；
When the prediction index is not present in the characteristic of the insurance application to be analyzed, not to the insurance application to be analyzed
Carry out prediction processing；
When in the characteristic of the insurance application to be analyzed there are when the prediction index, in the insurance application to be analyzed
The corresponding prediction index of the insurance application to be analyzed is extracted in characteristic；
According to the mapping relations of pre-set prediction index and predictor formula, determine that each prediction index is corresponding pre-
Method of determining and calculating；
Using the corresponding prediction algorithm of each prediction index, the prediction result of each prediction index is calculated, to obtain
The corresponding prediction result of the insurance application to be analyzed.
In addition, to achieve the above object, it is described computer-readable the present invention also provides a kind of computer readable storage medium
Storage medium is stored with personal insurance application data processor, and individual's insurance application data processor can be by least one
It manages device to execute, so that at least one described processor executes personal insurance application data processing method as described in any one of the above embodiments.
The present embodiment in real time or timing acquisition user the corresponding insurance application information of insurance application, receiving analysis instruction
When, it determines the corresponding presupposition analysis rule of analysis condition and insurance application to be analyzed, is insured according to presupposition analysis rule to be analyzed
Single characteristic is analyzed and processed, and generates analysis report.Compared to the prior art, technical solution of the present invention realize to
The unified management of family insurance application, and user's insurance application information is analyzed by presupposition analysis rule, user can check at any time
Analysis report is easy to understand state of itself insuring, and improves the efficiency and convenience of insurance application information analysis.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
The structure shown according to these attached drawings obtains other attached drawings.
Fig. 1 is the running environment schematic diagram of personal insurance application the first, second embodiment of data processor of the present invention；
Fig. 2 is the Program modual graph of the personal insurance application data processor first embodiment of the present invention；
Fig. 3 is the Program modual graph of the personal insurance application data processor second embodiment of the present invention
Fig. 4 is the flow diagram of the personal insurance application data processing method first embodiment of the present invention；
Fig. 5 is the flow diagram of the personal insurance application data processing method second embodiment of the present invention.
The embodiments will be further described with reference to the accompanying drawings for the realization, the function and the advantages of the object of the present invention.
Specific embodiment
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the invention.
In addition, the present invention also proposes a kind of personal insurance application data processor.
Referring to Fig. 1, being that the running environment of 10 first, second embodiment of insurance application data processor of the invention personal is shown
It is intended to.
In the present embodiment, personal insurance application data processor 10 is installed and is run in electronic device 1.Electronic device
1, which can be desktop PC, notebook, palm PC and server etc., calculates equipment.The electronic device 1 may include, but not
It is only limitted to, memory 11, processor 12 and display 13.Fig. 1 illustrates only the electronic device 1 with component 11-13, but answers
What is understood is, it is not required that implements all components shown, the implementation that can be substituted is more or less component.
Memory 11 can be the internal storage unit of electronic device 1 in some embodiments, such as the electronic device 1
Hard disk or memory.Memory 11 is also possible to the External memory equipment of electronic device 1, such as electronics dress in further embodiments
Set the plug-in type hard disk being equipped on 1, intelligent memory card (Smart Media Card, SMC), secure digital (Secure
Digital, SD) card, flash card (Flash Card) etc..Further, memory 11 can also be both interior including electronic device 1
Portion's storage unit also includes External memory equipment.Memory 11 is for storing the application software for being installed on electronic device 1 and all kinds of
Data, such as the program code etc. of personal insurance application data processor 10.Memory 11 can be also used for temporarily storing
Data through exporting or will export.
Processor 12 can be in some embodiments a central processing unit (Central Processing Unit,
CPU), microprocessor or other data processing chips, program code or processing data for being stored in run memory 11, example
Such as execute personal insurance application data processor 10.
Display 13 can be in some embodiments light-emitting diode display, liquid crystal display, touch-control liquid crystal display and
OLED (Organic Light-Emitting Diode, Organic Light Emitting Diode) touches device etc..Display 13 is for being shown in
The information that is handled in electronic device 1 and for showing visual user interface.The component 11-13 of electronic device 1 passes through journey
Sequence bus is in communication with each other.
Referring to Fig. 2, being the Program modual graph of personal 10 first embodiment of insurance application data processor of the invention.At this
In embodiment, personal insurance application data processor 10 can be divided into one or more modules, one or more module
It is stored in memory 11, and performed by one or more processors (the present embodiment is processor 12), to complete this hair
It is bright.For example, in Fig. 2, personal insurance application data processor 10 can be divided into obtain module 101, extraction module 102,
Determining module 103 and analysis module 104.The so-called module of the present invention is the series of computation machine journey for referring to complete specific function
Sequence instruction segment, than program more suitable for describing the implementation procedure of personal insurance application data processor 10 in the electronic apparatus 1,
In:
Module 101 is obtained, for real-time or timing acquisition user insurance application information.
Wherein, insurance application information includes subscriber identity information, user contact details, insurance application number, ProductName of insuring, throws
Insure kind, insurance period, the corresponding insured project of insurance application, insurance money rate, insured amount etc..
The acquisition methods of the insurance application information of user include:
Receive the insurance application information of user's input.For example, providing user input interface, user can pass through touch screen, key, language
The modes such as sound input insurance application information.
The communication information for reading user extracts the insurance application information of user according to the communication information of reading.
The communication information includes that instant message (for example, the instant messages such as wechat, QQ, MSN, or is based on this motion
Exploitation the menu manager APP that insures PUSH message), Twitter message, social network services message, short message (SMS message) and
One of email message is a variety of.
According to the identity information of user, the insurance application information of calling and obtaining user from the database of each insurance company.Above-mentioned use
The acquisition methods of the identity information at family specifically include: the user name and password inputted according to user when logging in inquires the user
Corresponding identity information (for example, ID card No. or other authentications coding)；Alternatively, user input interface is provided, for
Family inputs its identity information.
Extraction module 102 extracts the characteristic of each insurance application for the insurance application information according to acquisition.
Wherein, the characteristic includes: insure insurance kind data, insurance period data, insured project data, insurance money rate
Data, insurance money means of payment data.As needed, the data type that features described above data include can be configured, not
It is limited to the data type of the example above.
Determining module 103, for when receiving the analysis instruction for carrying analysis condition, determining that the analysis condition is corresponding
Presupposition analysis rule and insurance application to be analyzed.
Above-mentioned presupposition analysis rule includes and is not limited to code of points, recommendation rules, prediction rule, can be according to demand to upper
Presupposition analysis rule is stated to be configured.
Above-mentioned analysis condition includes several pre-set bound terms to analysis task, to realize at customized analysis
Reason.For example, above-mentioned analysis condition includes: the time interval of analysis (for example, insuring for the interior generation of the time interval is only analyzed in setting
It is single), the type of presupposition analysis rule that enables (for example, setting only enables code of points and a prediction rule, do not enable recommendation and advises
Then), the single type of insuring (for example, investment dividends class insurance application is only analyzed in setting) analyzed.By above-mentioned analysis condition, can choose
Presupposition analysis rule and insurance application to be analyzed needed for this analysis task out.
Preferably, in the present embodiment, the code of points includes:
Firstly, extracting Score index in the characteristic of each insurance application to be analyzed.Wherein, above-mentioned Score index includes ginseng
Guarantor's project total quantity, investment yield, life-insurance insured amount sum, property insurance are (for example, car insurance, engineering are protected
Danger etc.) insured amount sum etc..
Then, according to the mapping relations of the predetermined Score index and scoring formula, determine that each scoring refers to
Mark corresponding scoring formula.
Then, using the corresponding scoring formula of determining each Score index, the index of each Score index is calculated
Score.
Finally, according to the index score for all Score indexes being calculated and predetermined each Score index pair
The index weights answered calculate the scoring of insuring of user.
The method of the index score of above-mentioned each Score index of calculating includes:
Firstly, obtaining user basic information data.The user basic information data include age data, asset data,
One of income data, occupation data, kinsfolk's data are a variety of.
The method of above-mentioned acquisition user basic information data includes: to provide user basic information input interface, defeated for user
Enter its user basic information data；Alternatively, basic by reading the acquisition user such as user's communication information, user behavior preference data
Information data.
Then, it according to the user basic information data the first preset matching rule and obtained, searches and user's phase
Matched association user.
Above-mentioned first preset matching rule can specifically:
Each user basic information data are ranked up based on the descending sequence of pre-set weighted value, according to row
Sequence result and the first preset matching sub-rule, by each user to be matched in the essential information data of user and User Information Database
Essential information data matched, with determining with the matched association user of the user.
Above-mentioned first preset matching sub-rule can illustrate are as follows:
According to the essential information subdata of user and the essential information subdata of user to be matched, and it is based on similarity operator
Method calculates the similarity value of user and user to be matched.If similarity is greater than or equal to default similarity threshold, it is determined that should be to
Matching user is association user；If similarity is less than default similarity threshold, it is determined that the user to be matched is not association user.
Wherein, the calculation method of above-mentioned similarity value has very much, for example, by Pearson correlation coefficient calculate similarity,
Cosine similarity calculating method etc..
Then, the information of insuring for obtaining each association user of lookup, the information of insuring for extracting each association user corresponding are commented
Divide index.According to the corresponding Score index of information of insuring of each association user of extraction, the corresponding standard of each Score index is set
Value.
Finally, the value of each Score index and the corresponding standard value of each Score index are substituted into corresponding scoring formula, calculate
The index score of each Score index.
For example, the corresponding standard value of the Score index is relevant if a Score index is insured project total quantity
The average value of the insured project total quantity of user.
Above-mentioned scoring formula can illustrate are as follows:
Wherein, above-mentioned f (x) is the index score of Score index, and x is insured project total quantity, and k is standard value.
Above-mentioned scoring formula can be set as needed, however it is not limited to the content of the example above.
Preferably, in the present embodiment, the recommendation rules include:
First, it is determined that whether including all recommendation reference indexs in the characteristic of an insurance application to be analyzed.
If so, extracting the corresponding recommendation ginseng of the insurance application to be analyzed in the characteristic of the insurance application to be analyzed
Examine achievement data.If it is not, then not carrying out recommendation process to the insurance application to be analyzed.
Then, it according to predetermined matching rule and the recommendation reference index, is looked into insurance new product database
The matched association insurance products of the insurance application to be analyzed are looked for, and obtain the corresponding recommendation of each association insurance products searched and obtained
Reference index data.
Wherein, above-mentioned matching rule can specifically: searches the characteristic China National Investment & Guaranty Corp. insurance kind data of insurance application to be analyzed.Root
It is investigated that the insurance kind data of insuring looked for, search insurance products identical with the insurance kind of insuring in insurance products database.If the guarantor
Include all recommendation reference indexs in the corresponding characteristic of dangerous product, then using the insurance products as with insurance application to be analyzed
Matched association insurance products.Alternatively, searching the characteristic China National Investment & Guaranty Corp. project data of insurance application to be analyzed.According to the throwing of lookup
Project data is protected, insurance products identical with the insured items are searched in insurance products database, if the insurance products are corresponding
Characteristic in include all recommendation reference indexs, then using the insurance products as with the matched association of insurance application to be analyzed
Insurance products.
Wherein, above-mentioned recommendation reference index can also be arranged by user setting by system default.For example, if user is to guarantor
Danger expense and insured amount are more paid close attention to, then two recommendation reference indexs of the settable insurance premium of the user and insured amount.
Then, when the recommendation reference index that the recommendation reference index data of an insurance application to be analyzed are associated with insurance products with one
Data meet default recommendation condition, then by the association insurance products labeled as recommendation insurance products.
If recommending reference index is one, by the recommendation reference index data of an insurance application to be analyzed and a matched pass
The recommendation reference index data of connection insurance products are compared, and are preset the sub- condition of recommendation when comparison result meets first, then should
Insurance products are associated with labeled as recommendation insurance products.
For example, one insurance application to be analyzed is insuring for health insurance A product if one recommends reference index for insured amount
Single, insured amount is 200,000 yuans, is that health is protected with the matched association insurance products to be analyzed of insurance application to be analyzed
Dangerous B product, health insurance C product, wherein the health insurance B manufactuerer's output insurance amount of money is 300,000 yuans, and health insurance C product is protected
The dangerous amount of money is 150,000 yuans, then is to recommend insurance products by health insurance B product labelling.
If recommend reference index be it is multiple, according to the reference index, the association to match to an insurance application to be analyzed
Insurance products score, and to obtain the corresponding appraisal result of each association insurance products, appraisal result satisfaction second are preset and is pushed away
Recommend the association insurance products label of sub- condition (for example, association insurance products of the score value greater than 10 points are labeled as recommendation insurance products)
To recommend insurance products.
Preferably, in the present embodiment, the prediction rule includes:
First, it is determined that whether there is prediction index in the characteristic of an insurance application to be analyzed.If it is not, not waited for point to this then
Analysis insurance application carries out prediction processing.If so, extracting described to be analyzed insure in the characteristic of the insurance application to be analyzed
Single corresponding prediction index.
Then, according to the mapping relations of pre-set prediction index and predictor formula, each prediction index pair is determined
The prediction algorithm answered.
Finally, the prediction result of each prediction index is calculated using the corresponding prediction algorithm of each prediction index, with
Obtain the corresponding prediction result of the insurance application to be analyzed.
Above-mentioned prediction index can be arranged according to the demand of user, can also be arranged by system default.For example, investment return
Volume, insured amount etc..
It is illustrated by taking the prediction algorithm of insured amount as an example below:
Insured amount ﹦ max (the basic insurance amount of money, surrender value)
Surrender value ﹦ hands over insurance premium × declaration form year-initial cost-declaration form administration fee-asset management expense-risk
Guarantee expense+dividend+profit and loss on investment
Wherein, the basic insurance amount of money is in insurance products exploitation period setting, and declaration form administration fee is according to the increasing in declaration form year
Add and increase year by year, profit and loss on investment is obtained according to following profit and loss rate of realized gains and losses prediction.
Analysis module 104, for according to determining presupposition analysis rule to the characteristic of the insurance application to be analyzed into
Row analysis processing, and resulting analysis result data is handled based on analysis and generates analysis report.
Above-mentioned analysis report may include insure to the user appraisal result of state, the insured amount to each insurance application, income
Deng prediction result, insurance products recommended to the user, with the comparing result of the same period in former years etc..
The present embodiment in real time or timing acquisition user the corresponding insurance application information of insurance application, receiving analysis instruction
When, it determines the corresponding presupposition analysis rule of analysis condition and insurance application to be analyzed, is insured according to presupposition analysis rule to be analyzed
Single characteristic is analyzed and processed, and generates analysis report.Compared with prior art, the present embodiment technical solution realization pair
The unified management of user's insurance application, and user's insurance application information is analyzed by presupposition analysis rule, user can look at any time
It sees analysis report, is easy to understand state of itself insuring, improve the efficiency and convenience of insurance application information analysis.
It is the program module signal of personal 10 second embodiment of insurance application data processor of the present invention referring to Fig. 3, Fig. 3
Figure.
In personal 10 second embodiment of insurance application data processor of the invention, base of the present embodiment in first embodiment
On plinth, the program further include:
Enquiry module 105, for receive carry querying condition inquiry instruction when, it is defeated according to the querying condition
Query result corresponding with the querying condition out, the query result include insurance application information corresponding with the querying condition
And/or analysis report.
Above-mentioned querying condition includes several pre-set bound terms to query task, to realize customized inquiry.
Above-mentioned querying condition include: insure insurance kind (for example, setting only inquiry a property class insurance), time of policy purchase section, whether check throwing
Whether policy information checks analysis report etc..
User is filtered out part insurance application information and analysis report is checked, looked into for user by setting querying condition
It askes and convenience is provided, while improving search efficiency.
As shown in figure 4, Fig. 4 is the flow diagram of the personal insurance application data processing method first embodiment of the present invention.
In the present embodiment, this method comprises:
Step S10, real-time or timing acquisition user insurance application information.
Wherein, insurance application information includes subscriber identity information, user contact details, insurance application number, ProductName of insuring, throws
Insure kind, insurance period, the corresponding insured project of insurance application, insurance money rate, insured amount etc..
The acquisition methods of the insurance application information of user include:
Receive the insurance application information of user's input.For example, providing user input interface, user can pass through touch screen, key, language
The modes such as sound input insurance application information.
The communication information for reading user extracts the insurance application information of user according to the communication information of reading.
The communication information includes that instant message (for example, the instant messages such as wechat, QQ, MSN, or is based on this motion
Exploitation the menu manager APP that insures PUSH message), Twitter message, social network services message, short message (SMS message) and
One of email message is a variety of.
According to the identity information of user, the insurance application information of calling and obtaining user from the database of each insurance company.Above-mentioned use
The acquisition methods of the identity information at family specifically include: the user name and password inputted according to user when logging in inquires the user
Corresponding identity information (for example, ID card No. or other authentications coding)；Alternatively, user input interface is provided, for
Family inputs its identity information.
Step S20 extracts the characteristic of each insurance application according to the insurance application information of acquisition.
Wherein, the characteristic includes: insure insurance kind data, insurance period data, insured project data, insurance money rate
Data, insurance money means of payment data.As needed, the data type that features described above data include can be configured, not
It is limited to the data type of the example above.
Step S30 determines that the analysis condition is default point corresponding when receiving the analysis instruction for carrying analysis condition
Analysis rule and insurance application to be analyzed.
Above-mentioned presupposition analysis rule includes and is not limited to code of points, recommendation rules, prediction rule, can be according to demand to upper
Presupposition analysis rule is stated to be configured.
Above-mentioned analysis condition includes several pre-set bound terms to analysis task, to realize at customized analysis
Reason.For example, above-mentioned analysis condition includes: the time interval of analysis (for example, insuring for the interior generation of the time interval is only analyzed in setting
It is single), the type of presupposition analysis rule that enables (for example, setting only enables code of points and a prediction rule, do not enable recommendation and advises
Then), the single type of insuring (for example, investment dividends class insurance application is only analyzed in setting) analyzed.By above-mentioned analysis condition, can choose
Presupposition analysis rule and insurance application to be analyzed needed for this analysis task out.
Preferably, in the present embodiment, the code of points includes:
Firstly, extracting Score index in the characteristic of each insurance application to be analyzed.Wherein, above-mentioned Score index includes ginseng
Guarantor's project total quantity, investment yield, life-insurance insured amount sum, property insurance are (for example, car insurance, engineering are protected
Danger etc.) insured amount sum etc..
Then, according to the mapping relations of the predetermined Score index and scoring formula, determine that each scoring refers to
Mark corresponding scoring formula.
Then, using the corresponding scoring formula of determining each Score index, the index of each Score index is calculated
Score.
Finally, according to the index score for all Score indexes being calculated and predetermined each Score index pair
The index weights answered calculate the scoring of insuring of user.
The method of the index score of above-mentioned each Score index of calculating includes:
Firstly, obtaining user basic information data.The user basic information data include age data, asset data,
One of income data, occupation data, kinsfolk's data are a variety of.
The method of above-mentioned acquisition user basic information data includes: to provide user basic information input interface, defeated for user
Enter its user basic information data；Alternatively, basic by reading the acquisition user such as user's communication information, user behavior preference data
Information data.
Then, it according to the user basic information data the first preset matching rule and obtained, searches and user's phase
Matched association user.
Above-mentioned first preset matching rule can specifically:
Each user basic information data are ranked up based on the descending sequence of pre-set weighted value, according to row
Sequence result and the first preset matching sub-rule, by each user to be matched in the essential information data of user and User Information Database
Essential information data matched, with determining with the matched association user of the user.
Above-mentioned first preset matching sub-rule can illustrate are as follows:
According to the essential information subdata of user and the essential information subdata of user to be matched, and it is based on similarity operator
Method calculates the similarity value of user and user to be matched.If similarity is greater than or equal to default similarity threshold, it is determined that should be to
Matching user is association user；If similarity is less than default similarity threshold, it is determined that the user to be matched is not association user.
Wherein, the calculation method of above-mentioned similarity value has very much, for example, by Pearson correlation coefficient calculate similarity,
Cosine similarity calculating method etc..
Then, the information of insuring for obtaining each association user of lookup, the information of insuring for extracting each association user corresponding are commented
Divide index.According to the corresponding Score index of information of insuring of each association user of extraction, the corresponding standard of each Score index is set
Value.
Finally, the value of each Score index and the corresponding standard value of each Score index are substituted into corresponding scoring formula, calculate
The index score of each Score index.
For example, the corresponding standard value of the Score index is relevant if a Score index is insured project total quantity
The average value of the insured project total quantity of user.
Above-mentioned scoring formula can illustrate are as follows:
Wherein, above-mentioned f (x) is the index score of Score index, and x is insured project total quantity, and k is standard value.
Above-mentioned scoring formula can be set as needed, however it is not limited to the content of the example above.
Preferably, in the present embodiment, the recommendation rules include:
First, it is determined that whether including all recommendation reference indexs in the characteristic of an insurance application to be analyzed.
If so, extracting the corresponding recommendation ginseng of the insurance application to be analyzed in the characteristic of the insurance application to be analyzed
Examine achievement data.If it is not, then not carrying out recommendation process to the insurance application to be analyzed.
Then, it according to predetermined matching rule and the recommendation reference index, is looked into insurance new product database
The matched association insurance products of the insurance application to be analyzed are looked for, and obtain the corresponding recommendation of each association insurance products searched and obtained
Reference index data.
Wherein, above-mentioned matching rule can specifically: searches the characteristic China National Investment & Guaranty Corp. insurance kind data of insurance application to be analyzed.Root
It is investigated that the insurance kind data of insuring looked for, search insurance products identical with the insurance kind of insuring in insurance products database.If the guarantor
Include all recommendation reference indexs in the corresponding characteristic of dangerous product, then using the insurance products as with insurance application to be analyzed
Matched association insurance products.Alternatively, searching the characteristic China National Investment & Guaranty Corp. project data of insurance application to be analyzed.According to the throwing of lookup
Project data is protected, insurance products identical with the insured items are searched in insurance products database, if the insurance products are corresponding
Characteristic in include all recommendation reference indexs, then using the insurance products as with the matched association of insurance application to be analyzed
Insurance products.
Wherein, above-mentioned recommendation reference index can also be arranged by user setting by system default.For example, if user is to guarantor
Danger expense and insured amount are more paid close attention to, then two recommendation reference indexs of the settable insurance premium of the user and insured amount.
Then, when the recommendation reference index that the recommendation reference index data of an insurance application to be analyzed are associated with insurance products with one
Data meet default recommendation condition, then by the association insurance products labeled as recommendation insurance products.
If recommending reference index is one, by the recommendation reference index data of an insurance application to be analyzed and a matched pass
The recommendation reference index data of connection insurance products are compared, and are preset the sub- condition of recommendation when comparison result meets first, then should
Insurance products are associated with labeled as recommendation insurance products.
For example, one insurance application to be analyzed is insuring for health insurance A product if one recommends reference index for insured amount
Single, insured amount is 200,000 yuans, is that health is protected with the matched association insurance products to be analyzed of insurance application to be analyzed
Dangerous B product, health insurance C product, wherein the health insurance B manufactuerer's output insurance amount of money is 300,000 yuans, and health insurance C product is protected
The dangerous amount of money is 150,000 yuans, then is to recommend insurance products by health insurance B product labelling.
If recommend reference index be it is multiple, according to the reference index, the association to match to an insurance application to be analyzed
Insurance products score, and to obtain the corresponding appraisal result of each association insurance products, appraisal result satisfaction second are preset and is pushed away
Recommend the association insurance products label of sub- condition (for example, association insurance products of the score value greater than 10 points are labeled as recommendation insurance products)
To recommend insurance products.
Preferably, in the present embodiment, the prediction rule includes:
First, it is determined that whether there is prediction index in the characteristic of an insurance application to be analyzed.If it is not, not waited for point to this then
Analysis insurance application carries out prediction processing.If so, extracting described to be analyzed insure in the characteristic of the insurance application to be analyzed
Single corresponding prediction index.
Then, according to the mapping relations of pre-set prediction index and predictor formula, each prediction index pair is determined
The prediction algorithm answered.
Finally, the prediction result of each prediction index is calculated using the corresponding prediction algorithm of each prediction index, with
Obtain the corresponding prediction result of the insurance application to be analyzed.
Above-mentioned prediction index can be arranged according to the demand of user, can also be arranged by system default.For example, investment return
Volume, insured amount etc..
It is illustrated by taking the prediction algorithm of insured amount as an example below:
Insured amount ﹦ max (the basic insurance amount of money, surrender value)
Surrender value ﹦ hands over insurance premium × declaration form year-initial cost-declaration form administration fee-asset management expense-risk
Guarantee expense+dividend+profit and loss on investment
Wherein, the basic insurance amount of money is in insurance products exploitation period setting, and declaration form administration fee is according to the increasing in declaration form year
Add and increase year by year, profit and loss on investment is obtained according to following profit and loss rate of realized gains and losses prediction.
Step S40 is carried out at analysis according to characteristic of the determining presupposition analysis rule to the insurance application to be analyzed
Reason, and resulting analysis result data is handled based on analysis and generates analysis report.
Above-mentioned analysis report may include insure to the user appraisal result of state, the insured amount to each insurance application, income
Deng prediction result, insurance products recommended to the user, with the comparing result of the same period in former years etc..
The present embodiment implements or the corresponding insurance application information of insurance application of timing acquisition user, is receiving analysis instruction
When, it determines the corresponding presupposition analysis rule of analysis condition and insurance application to be analyzed, is insured according to presupposition analysis rule to be analyzed
Single characteristic is analyzed and processed, and generates analysis report.Compared with prior art, the present embodiment technical solution realization pair
The unified management of user's insurance application, and user's insurance application information is analyzed by presupposition analysis rule, user can look at any time
It sees analysis report, is easy to understand state of itself insuring, improve the efficiency and convenience of insurance application information analysis.
It is the flow diagram of the personal insurance application data processing method second embodiment of the present invention referring to Fig. 5, Fig. 5.
In personal insurance application data processing method second embodiment of the invention, the present embodiment is on the basis of first embodiment
On, this method further include:
Step S50, when receiving the inquiry instruction for carrying querying condition, according to the querying condition, output with it is described
The corresponding query result of querying condition, the query result include insurance application information corresponding with the querying condition and/or divide
Analysis report.
Above-mentioned querying condition includes several pre-set bound terms to query task, to realize customized inquiry.
Above-mentioned querying condition include: insure insurance kind (for example, setting only inquiry a property class insurance), time of policy purchase section, whether check throwing
Whether policy information checks analysis report etc..
User is filtered out part insurance application information and analysis report is checked, looked into for user by setting querying condition
It askes and convenience is provided, while improving search efficiency.
Further, the present invention also proposes that a kind of computer readable storage medium, the computer readable storage medium are deposited
Personal insurance application data processor is contained, individual's insurance application data processor can be executed by least one processor,
So that at least one described processor executes the personal insurance application data processing method in any of the above-described embodiment.
The above description is only a preferred embodiment of the present invention, is not intended to limit the scope of the invention, all at this
Under the inventive concept of invention, using equivalent structure transformation made by description of the invention and accompanying drawing content, or directly/use indirectly
It is included in other related technical areas in scope of patent protection of the invention.
Claims (10)
1. a kind of electronic device, the electronic device includes memory and processor, which is characterized in that is stored on the memory
There is personal insurance application data processor, individual's insurance application data processor is realized as follows when being executed by the processor
Step:
Real-time or timing acquisition user insurance application information；
According to the insurance application information of acquisition, the characteristic of each insurance application is extracted；
When receiving the analysis instruction for carrying analysis condition, the corresponding presupposition analysis rule of the analysis condition is determined and wait divide
Analyse insurance application；
It is analyzed and processed according to characteristic of the determining presupposition analysis rule to the insurance application to be analyzed, and based on analysis
It handles resulting analysis result data and generates analysis report.
2. electronic device as described in claim 1, which is characterized in that the presupposition analysis rule includes code of points, described
Code of points includes:
Score index is extracted in the characteristic of each insurance application to be analyzed；
According to the mapping relations of the predetermined Score index and scoring formula, determines that each Score index is corresponding and comment
Divide formula；
Using the corresponding scoring formula of determining each Score index, the index score of each Score index is calculated；
According to the index score for all Score indexes being calculated and the corresponding index of predetermined each Score index
Weighted value calculates the scoring of insuring of user.
3. electronic device as described in claim 1, which is characterized in that the presupposition analysis rule further includes recommendation rules, institute
Stating recommendation rules includes:
Whether judge in the characteristic of an insurance application to be analyzed comprising all recommendation reference indexs；
When in the characteristic for determining the insurance application to be analyzed including all recommendation reference indexs, described to be analyzed
The corresponding recommendation reference index data of the insurance application to be analyzed are extracted in the characteristic of insurance application；Otherwise, not to it is described to
It analyzes insurance application and carries out recommendation process；
According to predetermined matching rule and the recommendation reference index, searched in insurance new product database described wait divide
The matched association insurance products of insurance application are analysed, and obtain the corresponding recommendation reference index number of each association insurance products searched and obtained
According to；
When the recommendation reference index data that the recommendation reference index data of an insurance application to be analyzed are associated with insurance products with one meet
Default recommendation condition, then by the association insurance products labeled as recommendation insurance products.
4. electronic device as claimed any one in claims 1 to 3, which is characterized in that the presupposition analysis rule further includes
Prediction rule, the prediction rule include:
Judge in the characteristic of an insurance application to be analyzed with the presence or absence of prediction index；
When the prediction index is not present in the characteristic of the insurance application to be analyzed, which is not carried out
Prediction processing；
When in the characteristic of the insurance application to be analyzed there are when the prediction index, in the feature of the insurance application to be analyzed
The corresponding prediction index of the insurance application to be analyzed is extracted in data；
According to the mapping relations of pre-set prediction index and predictor formula, the corresponding pre- measuring and calculating of each prediction index is determined
Method；
Using the corresponding prediction algorithm of each prediction index, the prediction result of each prediction index is calculated, described in obtaining
The corresponding prediction result of insurance application to be analyzed.
5. electronic device as claimed in claim 4, which is characterized in that the processor execution individual insures at forms data
Program is managed, is also performed the steps of
When receiving the inquiry instruction for carrying querying condition, according to the querying condition, export corresponding with the querying condition
Query result, the query result includes insurance application information corresponding with the querying condition and/or analysis report.
6. a kind of individual's insurance application data processing method, which is characterized in that the method comprising the steps of:
Real-time or timing acquisition user insurance application information；
According to the insurance application information of acquisition, the characteristic of each insurance application is extracted；
When receiving the analysis instruction for carrying analysis condition, the corresponding presupposition analysis rule of the analysis condition is determined and wait divide
Analyse insurance application；
It is analyzed and processed according to characteristic of the determining presupposition analysis rule to the insurance application to be analyzed, and based on analysis
It handles resulting analysis result data and generates analysis report.
7. individual's insurance application data processing method as claimed in claim 6, which is characterized in that the presupposition analysis rule includes
Code of points, the code of points include:
Score index is extracted in the characteristic of each insurance application to be analyzed；
According to the mapping relations of the predetermined Score index and scoring formula, determines that each Score index is corresponding and comment
Divide formula；
Using the corresponding scoring formula of determining each Score index, the index score of each Score index is calculated；
According to the index score for all Score indexes being calculated and the corresponding index of predetermined each Score index
Weighted value calculates the scoring of insuring of user.
8. individual's insurance application data processing method as claimed in claim 6, which is characterized in that the presupposition analysis rule is also wrapped
Recommendation rules are included, the recommendation rules include:
Whether judge in the characteristic of an insurance application to be analyzed comprising all recommendation reference indexs；
When in the characteristic for determining the insurance application to be analyzed including all recommendation reference indexs, described to be analyzed
The corresponding recommendation reference index data of the insurance application to be analyzed are extracted in the characteristic of insurance application；Otherwise, not to it is described to
It analyzes insurance application and carries out recommendation process；
According to predetermined matching rule and the recommendation reference index, searched in insurance new product database described wait divide
The matched association insurance products of insurance application are analysed, and obtain the corresponding recommendation reference index number of each association insurance products searched and obtained
According to；
When the recommendation reference index data that the recommendation reference index data of an insurance application to be analyzed are associated with insurance products with one meet
Default recommendation condition, then by the association insurance products labeled as recommendation insurance products.
9. the personal insurance application data processing method as described in any one of claim 6 to 8, which is characterized in that described default
Analysis rule further includes prediction rule, and the prediction rule includes:
Judge in the characteristic of an insurance application to be analyzed with the presence or absence of prediction index；
When the prediction index is not present in the characteristic of the insurance application to be analyzed, which is not carried out
Prediction processing；
When in the characteristic of the insurance application to be analyzed there are when the prediction index, in the feature of the insurance application to be analyzed
The corresponding prediction index of the insurance application to be analyzed is extracted in data；
According to the mapping relations of pre-set prediction index and predictor formula, the corresponding pre- measuring and calculating of each prediction index is determined
Method；
Using the corresponding prediction algorithm of each prediction index, the prediction result of each prediction index is calculated, described in obtaining
The corresponding prediction result of insurance application to be analyzed.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has individual to insure
Forms data processing routine, it is described individual insurance application data processor can be executed by least one processor so that it is described at least
One processor executes the personal insurance application data processing method as described in any one of claim 6-9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810507864.0A CN108961069A (en) | 2018-05-24 | 2018-05-24 | Electronic device, personal insurance application data processing method and computer storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810507864.0A CN108961069A (en) | 2018-05-24 | 2018-05-24 | Electronic device, personal insurance application data processing method and computer storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108961069A true CN108961069A (en) | 2018-12-07 |
Family
ID=64492237
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810507864.0A Pending CN108961069A (en) | 2018-05-24 | 2018-05-24 | Electronic device, personal insurance application data processing method and computer storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108961069A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110910255A (en) * | 2019-10-28 | 2020-03-24 | 世纪保众(北京)网络科技有限公司 | Product matching method and device based on family risk evaluation result |
Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009140032A (en) * | 2007-12-04 | 2009-06-25 | Nagoya Institute Of Technology | Clothing recommending system according to user's circumstances |
| CN105636083A (en) * | 2014-10-27 | 2016-06-01 | 北京市天元网络技术股份有限公司 | Mobile network assessment method |
| CN106934480A (en) * | 2015-12-29 | 2017-07-07 | 平安科技（深圳）有限公司 | Insure grade analysis method, server and terminal |
| TW201741968A (en) * | 2016-05-19 | 2017-12-01 | Pacific Man Partners Llc | System and method to analyze the insurance content for providing insurance recommendation comprises a receiving module, analysis module, and suggestion item generation module for obtaining complete insurance protection |
| CN107526800A (en) * | 2017-08-20 | 2017-12-29 | 平安科技（深圳）有限公司 | Device, method and the computer-readable recording medium of information recommendation |
| CN107730389A (en) * | 2017-09-30 | 2018-02-23 | 平安科技（深圳）有限公司 | Electronic installation, insurance products recommend method and computer-readable recording medium |
| CN107818492A (en) * | 2017-10-10 | 2018-03-20 | 平安科技（深圳）有限公司 | Products Show device, method and computer-readable recording medium |
| US9928552B1 (en) * | 2009-03-13 | 2018-03-27 | New York Life Insurance Company | Methods and systems for insurance investment product decision modeling |
| CN107871285A (en) * | 2017-12-06 | 2018-04-03 | 和金在线（北京）科技有限公司 | A kind of health insurance pays for the method for detecting and system of fraud and abuse |
-
2018
- 2018-05-24 CN CN201810507864.0A patent/CN108961069A/en active Pending
Patent Citations (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2009140032A (en) * | 2007-12-04 | 2009-06-25 | Nagoya Institute Of Technology | Clothing recommending system according to user's circumstances |
| US9928552B1 (en) * | 2009-03-13 | 2018-03-27 | New York Life Insurance Company | Methods and systems for insurance investment product decision modeling |
| CN105636083A (en) * | 2014-10-27 | 2016-06-01 | 北京市天元网络技术股份有限公司 | Mobile network assessment method |
| CN106934480A (en) * | 2015-12-29 | 2017-07-07 | 平安科技（深圳）有限公司 | Insure grade analysis method, server and terminal |
| TW201741968A (en) * | 2016-05-19 | 2017-12-01 | Pacific Man Partners Llc | System and method to analyze the insurance content for providing insurance recommendation comprises a receiving module, analysis module, and suggestion item generation module for obtaining complete insurance protection |
| CN107526800A (en) * | 2017-08-20 | 2017-12-29 | 平安科技（深圳）有限公司 | Device, method and the computer-readable recording medium of information recommendation |
| CN107730389A (en) * | 2017-09-30 | 2018-02-23 | 平安科技（深圳）有限公司 | Electronic installation, insurance products recommend method and computer-readable recording medium |
| CN107818492A (en) * | 2017-10-10 | 2018-03-20 | 平安科技（深圳）有限公司 | Products Show device, method and computer-readable recording medium |
| CN107871285A (en) * | 2017-12-06 | 2018-04-03 | 和金在线（北京）科技有限公司 | A kind of health insurance pays for the method for detecting and system of fraud and abuse |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110910255A (en) * | 2019-10-28 | 2020-03-24 | 世纪保众(北京)网络科技有限公司 | Product matching method and device based on family risk evaluation result |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107818344B (en) | Method and system for classifying and predicting user behaviors | |
| JP6594543B2 (en) | Order clustering method and apparatus and method and apparatus for countering malicious information | |
| TWI398824B (en) | A provider, a provider, a provider, and a computer-readable recording medium that memorizes its program | |
| TW201812689A (en) | System, method, and device for identifying malicious address/malicious purchase order | |
| CN113449187B (en) | Product recommendation method, device, equipment and storage medium based on double images | |
| CN110033331A (en) | A kind of distribution method of discount coupon, system and terminal device | |
| CN108734561A (en) | Electronic device, order data processing method and computer readable storage medium | |
| CN109302541A (en) | Electronic device, distribution method of attending a banquet and computer readable storage medium | |
| CN110046298A (en) | Query word recommendation method and device, terminal device and computer readable medium | |
| CN113032682A (en) | Product recommendation method, device, equipment and storage medium based on collaborative filtering | |
| CN107767070A (en) | method and device for information popularization | |
| CN109933502A (en) | Electronic device, the processing method of user operation records and storage medium | |
| CN112560465A (en) | Method and device for monitoring batch abnormal events, electronic equipment and storage medium | |
| CN113806492B (en) | Record generation method, device, equipment and storage medium based on semantic recognition | |
| CN107679883A (en) | The method and system of advertisement generation | |
| CN114756669A (en) | Intelligent analysis method and device for problem intention, electronic equipment and storage medium | |
| CN113505273B (en) | Data sorting method, device, equipment and medium based on repeated data screening | |
| CN108961069A (en) | Electronic device, personal insurance application data processing method and computer storage medium | |
| CN110009189A (en) | Electronic device, risk quantification method and computer readable storage medium | |
| CN109450963A (en) | Information push method and terminal device | |
| CN110110067A (en) | A kind of database annotation method, apparatus and terminal device | |
| CN114925275A (en) | Product recommendation method and device, computer equipment and storage medium | |
| CN113344674A (en) | Product recommendation method, device, equipment and storage medium based on user purchasing power | |
| CN111522747B (en) | Application processing method, device, equipment and medium | |
| CN114154052A (en) | Information recommendation method and device, computer equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |