CN109658126A - Data processing method, device, equipment and storage medium based on product promotion - Google Patents
Data processing method, device, equipment and storage medium based on product promotion Download PDFInfo
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Abstract
The invention discloses a kind of data processing method based on product promotion, device, equipment and storage mediums, which comprises receives the data submission request that client is sent, obtains user identity information and product promotion data in data submission request；Rate is proposed in conjunction with commission meter and product promotion data are that user calculates commission data；Commission data is encrypted according to preset cipher mode, and ciphertext data will be obtained and be sent to payment platform, so that payment platform carries out on-line payment according to ciphertext data；Big data analysis is carried out to user identity information, commission data and product promotion data, obtains product promotion mission bit stream, wherein product promotion mission bit stream includes the product promotion task for user individual customization；Client corresponding with user identity information is sent by product promotion mission bit stream.During technical solution of the present invention is to solve product promotion, to the inefficient of data management, the low problem of automatization level.
Description
Technical field
The present invention relates to field of information processing, more particularly to the data processing method based on product promotion, device, equipment and
Storage medium.
Background technique
The popularization of insurance products depends on the effort of numerous business personnels.Each insurance company is the needs of exhibition industry, is released very
The mode that multi-product is promoted also releases suitable incentive mechanism and allows company other than excavating the exhibition industry potentiality of intra-company personnel
External staff helps company to carry out insurance products popularization, these companies external staff is commonly called as pushing away visitor.
It is suitable for personnel that are part-time or having human connection resource based on the product promotion mode for pushing away visitor.Visitor is pushed away only to need to have throwing
The client of guarantor's intention is pushed to in-company business assistant director, is responsible for being in harmony light business by business assistant director.If business is concluded, phase is provided
The commission answered is pushed away visitor.The range that objective mode had not only increased promoting service is pushed away, but also is offered convenience simultaneously to tripartite, is the production of kind of win-win
Product Extension Model.
For pushing away for visitor, it is the factor for pushing away objective overriding concern that whether commission, which calculates payment and pay convenient and efficient and safe,
This, which is also influenced, pushes away wish and sales volume that visitor carries out product promotion.Guest person's substantial amounts are pushed away, but at present to their commission meter
Mostly reward is to be aided with the mode of manual report with the book keeping operation of simple computer.This makes commission calculate payment, and process is cumbersome and easy error.Together
When, the data during entire product promotion are difficult to trace and safeguard, data management it is inefficient, automatization level is low.
Summary of the invention
The embodiment of the present invention provides a kind of data processing method based on product promotion, device, equipment and storage medium, with
During solving product promotion, to the inefficient of data management, the low problem of automatization level.
A kind of data processing method based on product promotion, comprising:
The data submission request that client is sent is received, the user identity information in the data submission request is obtained；
If the user identity information is consistent with the registration user identity information in pre-set user database, described in acquisition
Product promotion data in data submission request；
Commission meter is obtained from default commission allocation list and proposes rate, and proposes rate and the product promotion number in conjunction with the commission meter
According to being calculated, the commission data of user is obtained；
The commission data is encrypted according to preset cipher mode, obtains ciphertext data, and by the ciphertext number
According to payment platform is sent to, so that the payment platform carries out on-line payment according to the ciphertext data；
Big data analysis is carried out to the user identity information, the commission data and the product promotion data, is obtained
Product promotion mission bit stream, wherein the product promotion mission bit stream includes the product promotion task for user individual customization；
The client corresponding with the user identity information is sent by the product promotion mission bit stream.
A kind of data processing equipment based on product promotion, comprising:
Receiving module obtains the use in the data submission request for receiving the data submission request of client transmission
Family identification information；
Login authentication module, if believing for the registration user identifier in the user identity information and pre-set user database
Breath is consistent, then obtains the product promotion data in the data submission request；
Commission computing module and is mentioned by proposing rate based on commission from obtaining in default commission allocation list in conjunction with the commission meter
Rate and the product promotion data are calculated, and the commission data of user is obtained；
Encrypting module obtains ciphertext data for encrypting according to preset cipher mode to the commission data, and
Payment platform is sent by the ciphertext data, so that the payment platform carries out on-line payment according to the ciphertext data；
Data analysis module, for the user identity information, the commission data and the product promotion data into
Row big data analysis obtains product promotion mission bit stream, wherein the product promotion mission bit stream includes determining for user individual
The product promotion task of system；
Sending module, it is corresponding with the user identity information described for sending the product promotion mission bit stream to
Client.
A kind of computer equipment, including memory, processor and storage are in the memory and can be in the processing
The computer program run on device, the processor realize the above-mentioned data based on product promotion when executing the computer program
Processing method.
A kind of computer readable storage medium, the computer-readable recording medium storage have computer program, the meter
Calculation machine program realizes the above-mentioned data processing method based on product promotion when being executed by processor.
The above-mentioned data processing method based on product promotion, device, equipment and storage medium, the number submitted from registration user
Product promotion data are obtained in request according to submitting, and rate is mentioned according to the commission meter in product promotion data and default commission allocation list
The commission data for calculating user realizes submission and the timely calculating to user's commission on the line to product promotion data；It is right
Commission data is encrypted, and is synchronized to payment platform, realization on-line payment that can be safe and efficient；User identifier is believed
Breath, commission data and product promotion data are packaged into user data, and are sent to big data platform, utilize the meter of big data platform
Calculation ability is that user's customed product promotes task, these personalized product promotion tasks meet the actual conditions of user, favorably
It is completed in user；Meanwhile the product promotion data and commission data occurred during entire product promotion can be traced
And analysis, improve the efficiency and automatization level of data management.
Detailed description of the invention
In order to illustrate the technical solution of the embodiments of the present invention more clearly, below by institute in the description to the embodiment of the present invention
Attached drawing to be used is needed to be briefly described, it should be apparent that, the accompanying drawings in the following description is only some implementations of the invention
Example, for those of ordinary skill in the art, without any creative labor, can also be according to these attached drawings
Obtain other attached drawings.
Fig. 1 is an application environment schematic diagram of the data processing method in one embodiment of the invention based on product promotion；
Fig. 2 is the flow chart of the data processing method in one embodiment of the invention based on product promotion；
Fig. 3 is the flow chart handled in one embodiment of the invention the client of login failure；
Fig. 4 is the flow chart of step S5 in data processing method in one embodiment of the invention based on product promotion；
Fig. 5 is the flow chart of step S51 in data processing method in one embodiment of the invention based on product promotion；
Fig. 6 is the schematic diagram of the data processing equipment in one embodiment of the invention based on product promotion；
Fig. 7 is the schematic diagram of computer equipment in one embodiment of the invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are some of the embodiments of the present invention, instead of all the embodiments.Based on this hair
Embodiment in bright, every other implementation obtained by those of ordinary skill in the art without making creative efforts
Example, shall fall within the protection scope of the present invention.
Data processing method provided by the present application based on product promotion, can be applicable in the application environment such as Fig. 1,
In, server-side is to provide the computer equipment of the data processing service based on product promotion, and server-side can be server or clothes
Business device cluster；Client is computer terminal, including but not limited to various personal computers, laptop, intelligent hand
Machine, tablet computer etc.；By network connection between client and server-side, network can be finite element network or wireless network.This
The data processing method based on product promotion that inventive embodiments provide is applied to server-side.
In one embodiment, specific real as shown in Fig. 2, providing a kind of data processing method based on product promotion
Existing process includes the following steps:
S1: receiving the data submission request that client is sent, and obtains the user identity information in data submission request.
Data submission request is the data inputting request that user is issued by client to server-side.
Data in data submission request include that the specific data of product promotion task are actually accomplished under user is online, specifically
Ground includes user identity information in data submission request, and user identity information is the unique identification of user identity, specifically can be with
An id (identification, identity) number, and with this No. id matched verifying password.
Specifically, client can carry out data submission by Web page or cell phone application.If client passes through Web page
It submits, i.e., user identity information is inserted the list in Web page by client, then submission form data, and server-side is from list
User identity information can be obtained in data；If client carries out data submission by cell phone application, server-side and cell phone application
The docking of rear end api interface, can obtain the user identity information in data submission request.
S2: if user identity information is consistent with the registration user identity information in pre-set user database, data are obtained
Submit the product promotion data in request.
Pre-set user database is the database that data management is carried out to user.Issue the user of data submission request, palpus
It is the registration user registered in pre-set user database in advance.Specifically, database includes but is not limited to: MS-SQL,
Oracle, MySQL, Sybase, DB2, Redis, MongodDB, Hbase etc..
Product promotion data be user complete to generate after product promotion task under line, number relevant to product promotion
According to including but not limited to time, the sales data etc. completed of the type, customer type, client's essential information, product promotion of product
Deng.
Server-side carries out authentication to the user for sending data submission request, i.e., by user identity information and pre-set user
Registration user identity information in database is compared, if the two is consistent, obtains the product promotion in data submission request
Data.Product promotion data are sent collectively to server-side with data submission request.
Specifically, if the running environment of server-side is Java, server-side is believed with the user identifier got from client
Breath is querying condition, is inquired by JDBC pre-set user database, is marked with the registration user in pre-set user database
Know information to be compared.If the two is consistent, server-side obtains the product promotion data in data submission request.
Wherein, JDBC (connection of Java DataBase Connectivity, Java database) is a kind of for executing SQL
The Java API of sentence can provide unified access for a variety of relational databases, class that it is write by one group with Java language and
Interface composition.JDBC provides a kind of benchmark, can construct more advanced tool and interface accordingly, enable database development personnel
Enough write database application.Database development personnel can be suitably used for different data by the interface routine that JDBC writes
Library, and no longer need to write interface routine respectively for different databases, greatly improve development efficiency.
S3: obtaining commission meter from default commission allocation list and propose rate, and in conjunction with commission meter mention rate and product promotion data into
Row calculates, and obtains the commission data of user.
Default commission allocation list is combination product type, calculates the number being defined to the commission of various product extension worker
According to table.
Rate is proposed including product type, the product promotion personnel of different stage, commission meter in default commission allocation list.Wherein,
Product type includes but is not limited to various insurances or the finance and money management products such as accident insurance, vehicle insurance, life insurance, consumption borrow, manage loan；
Product promotion personnel are divided into channel assistant director, generic proxy, advanced agency, push away the different stages such as visitor.
It is the method calculated the commission of product promotion personnel that commission meter, which proposes rate,.Commission meter, which proposes rate, specifically can be one
The product promotion personnel of a amount of money percentage, such as different product type or different stage possess different percentage；Alternatively, hiring
Jin Jiti rate can be a calculation formula, for example, the commission calculation formula of an automobile mortgage loan product are as follows:
Commission=sales volume * amount of money percentage-administration fee
Wherein, the specific number of amount of money percentage and administration fee can have with different product promotion personnel ranks
Institute is different.
Commission data includes that user completes deserved deduction commission number after product promotion task.
Default commission allocation list can specifically show as one and be deployed in server-side text file, such as the text of JSON format
Part.Wherein, JSON (JavaScript Object Notation, JS object numbered musical notation) is a kind of data exchange lattice of lightweight
Formula.JSON file is stored with ASCII coding mode, independent of operating system, can quickly be read by computer program
Or generate, it is a kind of data interchange format of prevalence.
Specifically, server-side can use third-party json analytical tool and read local default commission allocation list, obtain
To commission calculation formula；Product promotion data are substituted into commission calculation formula, to obtain the commission data of user.
S4: encrypting commission data according to preset cipher mode, obtains ciphertext data, and ciphertext data are sent
To payment platform, so that payment platform carries out on-line payment according to ciphertext data.
Payment platform is the computer terminal being connected with server-side, can be server or server cluster.Payment
Platform receives the commission data that server-side is sent, and realizes on-line payment function to user.
Server-side adds commission data according to preset cipher mode when commission data is sent to payment platform
It is close, prevent commission number to be tampered in transmission process.
Preset cipher mode includes including but is not limited to: symmetric encipherment algorithm, rivest, shamir, adelman and customized
Information scrambling algorithm etc..Ciphertext data are to obtain being data after encrypting commission data.
Specifically, server-side carries out Hash calculation to commission data to be sent using MD5 algorithm, obtains digest value,
Hash value is sent to payment platform again.Wherein, the full name of MD5 is Message-Digest Algorithm 5, i.e. information-is plucked
Algorithm is wanted, is the format for allowing large capacity information to be ' compressed ' into a kind of secrecy before signing private secret key with digital signature software,
The byte serial of a random length is transformed into the big integer of a fixed length.
For example, one user No. id is 0001, and deduction commission number is 800 RMB, after being calculated with md5 encryption
Obtained ciphertext data may be 2529a968bc5e9ca86d1dd51d76d97e9e.
S5: carrying out big data analysis to user identity information, commission data and product promotion data, obtains product promotion and appoints
Business information, wherein product promotion mission bit stream includes the product promotion task for user individual customization.
Big data analysis is to rely on big data platform, is excavated, is analyzed to mass data, is obtained valuable in mass data
The process of value information.Wherein, big data platform includes a series of software and hardware architecture frameworks being made of computer equipment.Big data
Analysis is related to many technical aspects such as collection, storage, modeling analysis, machine learning to data.
Product promotion mission bit stream is obtained by big data analysis, is customized for user individual, is pushed away by server-side
Give the data of the product promotion task of user.Wherein, product promotion task is that the various products carried out under line are promoted or sold
Task.Product promotion mission bit stream includes but is not limited to brief introduction, commission deduction allocation plan of new product of new product etc..
Server-side collects the user identity information, commission data and product promotion data of each user, by each user's
Data are as a data sample, the achievement total amount of counting user, achievement efficiency, type of the promoted product of user etc., and tie
Commission data is closed, the user data sample of quantity in a certain range is subjected to comprehensive analysis, obtains the product for being suitble to specific user
Promote mission bit stream.Wherein, achievement total amount is the summation that user completes product promotion task quantity；Achievement efficiency is certain time
In range, user completes the quantity of product promotion task；The type of the promoted product of user is classification belonging to product, is such as managed money matters
Class, insurance class etc., every class product can be subdivided into more subclasses again, such as insurance class is divided into vehicle insurance class, accident insurance class；To servant
The statistics of golden number evidence, can provide data reference for product promotion cost planning etc., and more flexible setting motivates commission.
Server-side can carry out big data point to user identity information, commission data and product promotion data based on Hadoop
Analysis utilizes the data modeling point of Hadoop that is, using user identity information, commission data and product promotion data as input data
Engine, such as Spark and machine learning algorithm, such as naive Bayesian, logistic regression are analysed, input data is handled, is obtained
To the product promotion mission bit stream for being directed to single user.Wherein, Hadoop is a distribution developed by apache foundation
System infrastructure.Based on Hadoop, user can develop distributed journey without understanding the details of the distributed bottom layer
Sequence.The power of cluster is made full use of to carry out high speed computing and storage；Spark, i.e. Apache Spark are one and aim on a large scale
Data processing and the computing engines of Universal-purpose quick designed.
Specifically, the user identity information of single user, commission data and product promotion data are first packaged by server-side
One user's sample data object, imported into Hadoop as input data；Then it is built using computing engines Spark for user
Vertical product promotion model, and analyzed using logistic regression algorithm, predict the product promotion mission bit stream of suitable user；Its
In, product promotion model is from multiple dimensions such as product type, customer type, sales data, popularization period, commissioner expenditures to user
The process for promoting product carries out logical abstraction.
For example, if the season product promotion achievement of a user is 100,000 yuan, it is main to complete the product category promoted
Including insuring class product, commission deduction accounts for the 15% of sales volume, the achievement effect that server-side passes through comprehensive analysis user every month
Rate promotes the product that sale is most fiery in successful product category, commissioner expenditures cost and the season, predicts and is suitble to the user
Product promotion task be certain vehicle insurance product, be suitble to the user excitation commission be 16%, etc..
S6: client corresponding with user identity information is sent by product promotion mission bit stream.
Product promotion mission bit stream is packaged and is sent to client corresponding with user identity information by server-side.
Specifically, product promotion mission bit stream first can be packaged into JSON file by server-side, then JSON file is sent
To the corresponding client of user identity information.Wherein, the key in JSON file includes user identity information, name of product, product
Type, product promotion time limit, excitation commission etc..One JSON file comprising product promotion mission bit stream can indicate are as follows:
In the present embodiment, product promotion data are obtained from the data submission request that registration user submits, and according to production
The commission meter that product are promoted in data and default commission allocation list mentions the commission data that rate calculates user, realizes to product promotion
Submission and the timely calculating to user's commission on the line of data；Commission data is encrypted, and is synchronized to payment platform,
Realization on-line payment that can be safe and efficient；User identity information, commission data and product promotion data are packaged into number of users
According to, and it is sent to big data platform, the computing capability using big data platform is that user's customed product promotes task, these individual characteies
The product promotion task of change meets the actual conditions of user, is conducive to user's completion；Meanwhile occurring during entire product promotion
Product promotion data and commission data can be traced and be analyzed, improve the efficiency and Automated water of data management
It is flat.
Further, in one embodiment, as shown in figure 3, upon step s 2, and before step S3, if existing
User identity information is consistent with the registration user identity information in pre-set user database, then obtains the production in data submission request
After product promote the step of data, and rate is proposed obtaining commission meter from default commission allocation list, and propose rate in conjunction with commission meter
Before the step of being calculated with product promotion data, obtaining the commission data of user, the data processing side based on product promotion
Method further includes following steps:
S7: if user identity information and the registration user identity information in pre-set user database are inconsistent, to client
End issues refusal log messages, and records the number of client login failure.
Refusal log messages can be customized step on for the reason of prompting client login failure, refusal log messages
Record failure warning information.
If user identity information and the registration user identity information in pre-set user database are inconsistent, server-side is to client
End issues refusal log messages, meanwhile, the characteristic information of client is obtained, and save login failure corresponding with the client
Number.Wherein, the characteristic information of client is the identification information for distinguishing different clients, and the characteristic information of client can be with
The including but not limited to IP address of client, the browser version that client uses, the operating system and version that client uses
Information etc..
Specifically, if user identity information and the registration user identity information in pre-set user database are inconsistent, service
It holds to client and issues refusal log messages, and obtained by the function navigator.userAgent () in JavaScript
Take the version information character of current browser.For example, by taking IE10 browser as an example, by calling the function in JavaScript,
Obtained browser version number is " IE/10.1098.12351.0 ".Alternatively, server-side passes through in the Web page logged in for user
The third-party tool chains that middle insertion obtains IP address are grounded location, for example, insertion obtains IP in the script label of Web page
The address third party tool URL of address.The information such as the IP of browser version number, client that server-side will acquire are as client
The characteristic information at end is saved in local file, and the number of the client login failure is added to the client in local file
After the characteristic information at end.
S8: if the number of client login failure is more than preset times threshold value, client is rejected within a preset time
Hold the data submission request sent.
Preset times threshold value is the pre-set numerical value of server-side, the row logged in judge client with the presence or absence of malice
For.For example, preset times threshold value can be 10 times.Preset time is the preset time interval of server-side, between the time
Every the data submission request of inner shield client.For example, preset time can be 5 minutes.
Specifically, server-side reads the local file for saving client login failure number, if certain client login failure
Number reach 10 times, then obtain the characteristic information of the client as target signature information；It is asked when there is client to issue to log in
When asking, the characteristic information of active client is compared by server-side with target signature information, if the two is consistent, is closed and is worked as
The connection of preceding client, meanwhile, 5 minutes timers are divided between the opening time, the data that rejection client is sent are submitted
Request, until 5 minutes terminate.
In the present embodiment, the number of server-side record client login failure, rejection logs within a preset time
The number of failure is more than the data submission request that the client of preset times threshold value is sent, and prevents user's malice logon attempt service
End, causes the server-side wasting of resources, improves the safety of server-side.
Further, in one embodiment, after step s4, and before step S5, i.e., add according to preset
Close mode encrypts commission data, ciphertext data is obtained, and send payment platform for ciphertext data, so that payment platform
After the step of carrying out on-line payment according to ciphertext data, and to user identity information, commission data and product promotion number
Before the step of carrying out big data analysis, obtaining product promotion mission bit stream, the data processing method based on product promotion is also
Include the following steps:
User identity information, commission data and product promotion data are packaged into user data, and user data is saved
Into pre-set user database, wherein pre-set user database is used to carry out data query for client.
Server-side creates user's achievement table in pre-set user database, for storing user identity information, commission data
With product promotion data, thus save each user product promotion record.Field and user identifier in user's achievement table
Information, commission data, product promotion data are corresponding, and field includes but is not limited to:
User identity information can inquire the basic letter for pushing away visitor by user identity information in pushing away objective database
Breath；
Customer information, for storing the name of product etc. that the name of client, identification card number, contact method, intention are insured；
Entry time, user submit the time of customer information；
Product information, including name of product, product category, product introduction, commission number；
Progress status is promoted, for indicating the advance stages of current business.Wherein, advance stages include in first trial, review
In, stage of making loans, completion etc..User can be at any time according to the state value inquiry business progress situation, if being in completion status
Business, pushing away visitor can apply for that commission is extracted.
Specifically, if the running environment of server-side is Java, server-side passes through JDBC for user identity information, commission data
It is respectively stored into performance data table with product promotion data.
In the present embodiment, server-side stores user identity information, commission data and product promotion data correlation to pre-
If in customer data base, facilitate user's data information relevant to itself in real time, meanwhile, it also does further data analysis and number is provided
According to source.
Further, in one embodiment, upon step s 2, and before step S3, if believing in user identifier
Breath is consistent with the registration user identity information in pre-set user database, then obtains the product promotion data in data submission request
The step of after, and propose rate obtaining commission meter from default commission allocation list, and propose rate and product promotion in conjunction with commission meter
Before the step of data are calculated, and the commission data of user is obtained, the data processing method based on product promotion further include as
Lower step:
Validity checking is carried out to product promotion data, if product promotion data exceed default value range, to submission
The user of product promotion data carries out account freezing processing.
Default value range is the data inputting range for all data setting that server-side is in product promotion data, to prevent
Only there is situations such as false, not firm in the data of user's input.For example, to the character length of the customer name in product promotion data
It defines, such as is no more than 10 bytes；It is actually restricted to what product promotion was completed, is such as no more than present system time
Deng；The upper limit of sales data is restricted, such as is no more than 1,000,000 yuan.
Specifically, server-side checks all data in product promotion data, if having in product promotion data super
The value of more than half data item is more than that default value sets numberical range, then product promotion number will be submitted in pre-set user database
According to user's mark be abnormal user.The permission for being marked as the account of abnormal user is limited, such as in the preset time
It is interior to log in, data etc. cannot be submitted.
In the present embodiment, server-side carries out validity checking to product promotion data, prevents user's false not real data,
Meanwhile for the user not over validity checking, server-side, which does the account of the user, to be freezed to handle, so that data are audited
Process reduces manual intervention, guarantees the authenticity of data, reduces typing not real data.
Further, in one embodiment, as shown in figure 4, being directed to step S5, i.e., to user identity information, commission data
Big data analysis is carried out with product promotion data, product promotion mission bit stream is obtained, specifically comprises the following steps:
S51: the user data of different user is extracted from pre-set user database with prefixed time interval, obtains user's sample
Notebook data set.
Prefixed time interval is the time cycle of use when analyzing the data in pre-set user database.For example,
It can be as unit of week, the moon, season or year.
Server-side can freely choose a certain range of user data when extracting the user data of different user.Example
Such as, using the area such as province, city, area as selection condition；Or using the user's registration time as selection condition, such as it is selected from January 1 in 2015
User data since day registration；Or using age of user as selection condition, person takes the user data between 25 to 35 years old, etc.
Deng.
User's sample data sets are the data record sets obtained from pre-set user database.Specifically, user's sample
Notebook data set can be according to default extraction conditions, the data obtained from pre-set user database.
For example, if prefixed time interval is 1 month, default extraction conditions are that the quasi- age of user section that is directed to is 25 to 35
Year user carry out data analysis simultaneously classify, server-side using one-month period interval be used as timer trigger condition, with user year
The value range of age field is used as search condition between 25 to 35, and data record is extracted from pre-set user database, then is mentioned
The data record taken out is user's sample data sets.
Specifically, server-side can be as unit of the moon, and calling system timer () function starts timer, is chosen with user
Search condition of the condition as SQL statement obtains the user data for meeting search condition from pre-set user database, and incites somebody to action
To data record storage into newly-built tables of data, to obtain the set of user's sample data.
S52: clustering is carried out to user's sample data sets, obtains different user groups.
Clustering refers to that the set by physics or abstract object is grouped into the analysis for the multiple classes being made of similar object
Process can classify automatically to batch of data using clustering, and not have in advance classify to batch of data, reduce
The movement of artificial default classification standard.The algorithm of clustering include hierarchical clustering method, decomposition method, addition method, dynamic state clustering,
Clustering ordered samples have overlapping to cluster and fuzzy clustering etc..
Server-side is analyzed, thus by user using user's sample data sets as input using cluster algorithm
It is divided into different user groups.
Specifically, server-side is passed to SPSS (statistical product and service using the record in obtained tables of data as input
Solution, Statistical Product and Service Solutions) in carry out clustering operation, by user
User corresponding to data is divided into different user groups.Wherein, SPSS software is a series of for counting of IBM Corporation's release
Learn the software product of analytic operation, data mining, forecast analysis and decision support task and the general name of related service.SPSS can be with
It is for comparing the user data between different user, i.e., by the user data progress clustering of input, user data institute is right
The user answered is divided into multiple user groups, obtains different user group identification informations.
For example, being the user between 25 to 35 years old by age of user section, it is divided into insurance class preferences user group, financing class preference
User group, sale naive user group, sale advanced level user's group etc., each user group has unique No. id.
S53: it using the user group where the corresponding user of user identity information as targeted group, is promoted from pre-set product
The matched product information of targeted group is obtained in database, and product promotion mission bit stream is determined according to product information.
Pre-set product promotion database is for storing the product information for being in the product promotion stage.For example, in meet
The product promotion activity that Qiu Jie is released, wherein the name class of certain product and special information etc..
Server-side obtains product information from pre-set product promotion database, and product information is packaged into product promotion task
Information, and it is sent to the user for having and promoting this product ability.Wherein, different user groups is suitable for promoting different productions
Have mapping relations between product, i.e. user group and product information.For example, the user in sale advanced level user's group can preferentially obtain
Recommend the information of new product, then the product information newly released preferentially is pushed to the user in sale advanced level user's group by server-side；
User in financing class preferences user group can preferentially obtain the information for recommending financing class product, then server-side is by the production for class of managing money matters
Product information is preferentially pushed to the user in financing preferences user group.
Specifically, server-side is obtained using the user group where the corresponding user of user identity information as targeted group
No. id of each user group, and according to the mapping relations of user group id and product information, from pre-set product promotion database
Obtain No. id matched product information of user, then user identity information and product information are packaged into, thus obtain with
The matched product promotion mission bit stream of user identity information.
In the present embodiment, server-side regularly, chooses condition according to certain user data, from pre-set user database
Middle extraction user data, and user is divided into according to user data by different user groups；According between user group and product information
Mapping relations, obtained from pre-set product promotion database with the matched product information of user capability, and thereby determine that product
Mission bit stream is promoted, more subtly can promote task for user's customed product.
Further, in one embodiment, as shown in figure 5, being directed to step S51, i.e., with prefixed time interval from default use
The user data that different user is extracted in user data library, obtains user's sample data sets, specifically comprises the following steps:
S511: the tables of data in pre-set user database is split, and obtains multiple small data tables.
Server-side splits tables of data, and the tables of data by data record up to million grades splits into multiple small data tables.
Specifically, server-side averagely splits into multiple small tables according to the sequence of data record in tables of data.For example, if table
In record number be 1,000,000, quasi- to be split into 10 small tables, the data recording number in each small table is 100,000, then can will
It is the record between 1 to 100,000 as first small data table that No. id is recorded in table, and so on, until whole table is splitted into 10
A small data table.
Alternatively, server-side can use hash function when partition, go to split whole table at certain intervals, to make
No. id for obtaining each table is discontinuous and relatively uniform distribution.For example, being mould with 100, No. id recorded in table is taken
Modular arithmetic, for the record for being 1 using remainder after modulo operation as one group, i.e., No. id is 1,101,201,301 etc. record, constitutes one
A small data table, and so on, it is completed until splitting whole table.
S512: newly-built processing thread, and processing thread is called to extract the record in multiple small data tables, obtain user's sample
Data acquisition system.
Thread is the minimum unit that program executes stream, be an entity in process, independently dispatched and assigned by system
Basic unit.
Server-side establishes multithreading, so that per thread handles a small data table, allows to simultaneously to multiple decimals
It is handled according to table.
Specifically, server-side can be according to the processing Thread Count to be established of the nucleus number determination of local cpu, such as server-side CPU
For 16 cores, then newthread () method is called to create 16 processing threads, per thread is responsible for a small data table, and each
Processing thread task be it is identical, i.e., processing thread according to preset extraction conditions go matching small data table in every record,
To obtain user's sample data sets.
In the present embodiment, since the data volume in pre-set user database is very big, be related to the inquiry to big table and
Compare operation, the tables of data in pre-set user database is split into multiple small data tables, then enables multithreading, often by server-side
A thread reads the record in a small data table, and goes to complete to match according to default extraction conditions, uses to improve acquisition
The speed of family sample data sets.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
In one embodiment, a kind of data processing equipment based on product promotion is provided, it should the data based on product promotion
Data processing method in processing unit and above-described embodiment based on product promotion corresponds.As shown in fig. 6, product should be based on
The data processing equipment of popularization includes receiving module 61, login authentication module 62, commission computing module 63, encrypting module 64, number
According to analysis 65 and sending module 66.Detailed description are as follows for each functional module:
Receiving module 61 obtains the user in data submission request for receiving the data submission request of client transmission
Identification information；
Login authentication module 62, if for the registration user identity information in user identity information and pre-set user database
Unanimously, then the product promotion data in data submission request are obtained；
Commission computing module 63 proposes rate by proposing rate based on acquisition commission in default commission allocation list, and in conjunction with commission meter
It is calculated with product promotion data, obtains the commission data of user；
Encrypting module 64 obtains ciphertext data, and will for encrypting according to preset cipher mode to commission data
Ciphertext data are sent to payment platform, so that payment platform carries out on-line payment according to ciphertext data；
Data analysis module 65, for carrying out big data point to user identity information, commission data and product promotion data
Analysis, obtains product promotion mission bit stream, wherein product promotion mission bit stream includes appointing for the product promotion of user individual customization
Business；
Sending module 66, for sending client corresponding with user identity information for product promotion mission bit stream.
Further, based on the data processing equipment of product promotion further include:
Tracking module 67 is logged in, if for the registration user identity information in user identity information and pre-set user database
It is inconsistent, then refusal log messages are issued to client, and record the number of client login failure；
Shroud module 68, if the number for client login failure is more than preset times threshold value, within a preset time
Reject the data submission request that client is sent.
Further, based on the data processing equipment of product promotion further include:
Memory module 69, for storing user identity information, commission data and product promotion data correlation to default use
In user data library, wherein pre-set user database is used to carry out data query for client.
Further, based on the data processing equipment of product promotion further include:
Legitimate verification module 610, for carrying out validity checking to product promotion data, if product promotion data exceed
Default value range, then user's progress account freezing processing to product promotion data are submitted.
Further, data analysis module 65 includes:
Sample extraction submodule 651, for extracting different user from pre-set user database with prefixed time interval
User data obtains user's sample data sets；
It is grouped submodule 652, for carrying out clustering to user's sample data sets, obtains different user groups；
Data acquisition submodule 653, for being used the user group where the corresponding user of user identity information as target
Family group obtains the matched product information of targeted group from pre-set product promotion database, and is determined and produced according to product information
Product promote mission bit stream.
Further, sample extraction submodule 651 includes:
Split cells 6511 obtains multiple small data tables for splitting the tables of data in pre-set user database；
Extraction unit 6512 for newly-built processing thread, and calls processing thread to extract the record in multiple small data tables,
Obtain user's sample data sets.
Specific restriction about the data processing equipment based on product promotion may refer to push away above for based on product
The restriction of wide data processing method, details are not described herein.Each mould in the above-mentioned data processing equipment based on product promotion
Block can be realized fully or partially through software, hardware and combinations thereof.Above-mentioned each module can be embedded in the form of hardware or independence
In processor in computer equipment, it can also be stored in a software form in the memory in computer equipment, in order to
Processor, which calls, executes the corresponding operation of the above modules.
In one embodiment, a kind of computer equipment is provided, which can be server, internal junction
Composition can be as shown in Figure 7.The computer equipment include by system bus connect processor, memory, network interface and
Database.Wherein, the processor of the computer equipment is for providing calculating and control ability.The memory packet of the computer equipment
Include non-volatile memory medium, built-in storage.The non-volatile memory medium is stored with operating system, computer program and data
Library.The built-in storage provides environment for the operation of operating system and computer program in non-volatile memory medium.The calculating
The network interface of machine equipment is used to communicate with external terminal by network connection.When the computer program is executed by processor with
Realize a kind of data processing method based on product promotion.
In one embodiment, a kind of computer equipment is provided, including memory, processor and storage are on a memory
And the computer program that can be run on a processor, processor are realized in above-described embodiment when executing computer program based on product
The step of data processing method of popularization, such as step S1 shown in Fig. 2 to step S6.Alternatively, processor executes computer journey
The function of each module/unit of the data processing equipment in above-described embodiment based on product promotion is realized when sequence, such as shown in Fig. 6
Module 61 to module 66 function.To avoid repeating, which is not described herein again.
In one embodiment, a computer readable storage medium is provided, computer program, computer program are stored thereon with
The data processing method based on product promotion in above method embodiment is realized when being executed by processor, alternatively, the computer journey
Each module/unit in the data processing equipment based on product promotion is realized in above-mentioned apparatus embodiment when sequence is executed by processor
Function.To avoid repeating, which is not described herein again.
Those of ordinary skill in the art will appreciate that realizing all or part of the process in above-described embodiment method, being can be with
Relevant hardware is instructed to complete by computer program, the computer program can be stored in a non-volatile computer
In read/write memory medium, the computer program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein,
To any reference of memory, storage, database or other media used in each embodiment provided herein,
Including non-volatile and/or volatile memory.Nonvolatile memory may include read-only memory (ROM), programming ROM
(PROM), electrically programmable ROM (EPROM), electrically erasable ROM (EEPROM) or flash memory.Volatile memory may include
Random access memory (RAM) or external cache.By way of illustration and not limitation, RAM is available in many forms,
Such as static state RAM (SRAM), dynamic ram (DRAM), synchronous dram (SDRAM), double data rate sdram (DDRSDRAM), enhancing
Type SDRAM (ESDRAM), synchronization link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM
(RDRAM), direct memory bus dynamic ram (DRDRAM) and memory bus dynamic ram (RDRAM) etc..
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of data processing method based on product promotion, which is characterized in that the data processing side based on product promotion
Method includes:
The data submission request that client is sent is received, the user identity information in the data submission request is obtained；
If the user identity information is consistent with the registration user identity information in pre-set user database, the data are obtained
Submit the product promotion data in request；
Obtain commission meter from default commission allocation list and propose rate, and in conjunction with the commission meter mention rate and the product promotion data into
Row calculates, and obtains the commission data of user；
The commission data is encrypted according to preset cipher mode, obtains ciphertext data, and the ciphertext data are sent out
It is sent to payment platform, so that the payment platform carries out on-line payment according to the ciphertext data；
Big data analysis is carried out to the user identity information, the commission data and the product promotion data, obtains product
Promote mission bit stream, wherein the product promotion mission bit stream includes the product promotion task for user individual customization；
The client corresponding with the user identity information is sent by the product promotion mission bit stream.
2. as described in claim 1 based on the data processing method of product promotion, which is characterized in that in the reception client
The data submission request of transmission, after obtaining the user identity information in the data submission request, and described from default
Commission meter is obtained in commission allocation list and proposes rate, and proposes rate in conjunction with the commission meter and the product promotion data are calculated, and is obtained
To before the commission data of user, the data processing method based on product promotion further include:
If the user identity information and the registration user identity information in pre-set user database are inconsistent, to the client
End issues refusal log messages, and records the number of the client login failure；
If the number of the client login failure is more than preset times threshold value, the client is rejected within a preset time
Hold the data submission request sent.
3. as described in claim 1 based on the data processing method of product promotion, which is characterized in that described according to preset
Cipher mode encrypts the commission data, obtains ciphertext data, and send payment platform for the ciphertext data, with
Make the payment platform according to the ciphertext data carry out on-line payment after, and it is described to the user identity information,
The commission data and the product promotion data carry out big data analysis, before obtaining product promotion mission bit stream, the base
In the data processing method of product promotion further include:
The user identity information, the commission data and the product promotion data are packaged into user data, and will be described
User data is saved in pre-set user database, wherein the pre-set user database is used to be counted for the client
It is investigated that asking.
4. as described in claim 1 based on the data processing method of product promotion, which is characterized in that if the user marks
It is consistent with the registration user identity information in pre-set user database to know information, then obtains the product in the data submission request
After promoting data, and rate is proposed in the commission meter that obtains from default commission allocation list, and propose rate in conjunction with the commission meter
It is calculated with the product promotion data, before obtaining the commission data of user, the data processing based on product promotion
Method further include:
Validity checking is carried out to the product promotion data, it is right if the product promotion data exceed default value range
The user for submitting the product promotion data carries out account freezing processing.
5. as claimed in claim 3 based on the data processing method of product promotion, which is characterized in that described to be marked to the user
Know information, the commission data and the product promotion data and carry out big data analysis, obtain product promotion mission bit stream, wraps
It includes:
The user data for extracting different user from the pre-set user database with prefixed time interval, obtains user's sample
Notebook data set；
Clustering is carried out to user's sample data sets, obtains different user groups；
Using the user group where the corresponding user of the user identity information as targeted group, data are promoted from pre-set product
The corresponding product information of the targeted group is obtained in library, and determines that the product promotion is appointed according to the product information
Business information.
6. as claimed in claim 5 based on the data processing method of product promotion, which is characterized in that described between preset time
Every the user data for extracting different user from the pre-set user database, user's sample data sets are obtained, comprising:
Tables of data in the pre-set user database is split, multiple small data tables are obtained；
Newly-built processing thread, and the processing thread is called to extract the record in the multiple small data table, obtain the user
Sample data sets.
7. a kind of data processing equipment based on product promotion, which is characterized in that the data processing dress based on product promotion
It sets, comprising:
Receiving module obtains user's mark in the data submission request for receiving the data submission request of client transmission
Know information；
Login authentication module, if for the registration user identity information one in the user identity information and pre-set user database
It causes, then obtains the product promotion data in the data submission request；
Commission computing module, by proposing rate based on commission from obtaining in default commission allocation list, and in conjunction with the commission meter mention rate and
The product promotion data are calculated, and the commission data of user is obtained；
Encrypting module obtains ciphertext data for encrypting according to preset cipher mode to the commission data, and by institute
It states ciphertext data and is sent to payment platform, so that the payment platform carries out on-line payment according to the ciphertext data；
Data analysis module is big for carrying out to the user identity information, the commission data and the product promotion data
Data analysis, obtains product promotion mission bit stream, wherein the product promotion mission bit stream includes customizing for user individual
Product promotion task；
Sending module, for sending the client corresponding with the user identity information for the product promotion mission bit stream
End.
8. as claimed in claim 7 based on the data processing equipment of product promotion, which is characterized in that described to be based on product promotion
Data processing equipment further include:
Tracking module is logged in, if not for the registration user identity information in the user identity information and pre-set user database
Unanimously, then refusal log messages are issued to the client, and records the number of the client login failure；
Shroud module is refused within a preset time if the number for the client login failure is more than preset times threshold value
The data submission request that the client is sent is received absolutely.
9. a kind of computer equipment, including memory, processor and storage are in the memory and can be in the processor
The computer program of upper operation, which is characterized in that the processor realized when executing the computer program as claim 1 to
Based on the data processing method of product promotion described in 6 any one.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In realization is as described in any one of claim 1 to 6 based on the data of product promotion when the computer program is executed by processor
Processing method.
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| CN112036928B (en) * | 2020-07-28 | 2024-05-31 | 长沙市到家悠享网络科技有限公司 | Data processing method, device, equipment and storage medium |
| CN112070525A (en) * | 2020-08-05 | 2020-12-11 | 长沙市到家悠享网络科技有限公司 | Data processing method, device, equipment and storage medium |
| CN112070525B (en) * | 2020-08-05 | 2024-04-23 | 长沙市到家悠享网络科技有限公司 | Data processing method, device, equipment and storage medium |
| CN113240468A (en) * | 2021-05-13 | 2021-08-10 | 北京沃东天骏信息技术有限公司 | Information processing method, device and storage medium |
| CN113326095A (en) * | 2021-05-26 | 2021-08-31 | 北京沃东天骏信息技术有限公司 | Commission data processing method and device |
| CN114255079A (en) * | 2021-12-17 | 2022-03-29 | 平安证券股份有限公司 | User information identification method, device, computer equipment and medium |
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