CN110334107A - Qualification evaluation method, apparatus and server based on data analysis - Google Patents
Qualification evaluation method, apparatus and server based on data analysis Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of qualification evaluation methods based on data analysis, device and server, wherein, this method is applied to data analysis field, it include: the qualification evaluation request for receiving user and uploading, and whether the identity data in eligibility for detection evaluation request matches with the reference identity data stored in preset identity information database, if not matching that, the corresponding target review data of the identity data is then searched in preset review information database, calculate the similarity between the reference review data and target review data in qualification evaluation request, if the similarity being calculated is greater than default similarity, then server carries out qualification evaluation to user according to reference review data, to obtain qualification evaluation result.By implementing the above method, when receiving qualification evaluation request, if storing the identity data of the user in initialized data base, review result can be directly obtained, improves evaluation efficiency.
Description
Technical field
The present invention relates to data analysis technique field more particularly to a kind of qualification evaluation methods based on data analysis, dress
It sets and server.
Background technique
Currently, being all after applicant submits qualification evaluation to request, accrediting and validating agency is for this when carrying out qualification evaluation
The review data that applicant submits is evaluated, and for the qualification evaluation of small-scale personnel, above-mentioned evaluation mode is more effective.
If after receiving the request of applicant, reallocate corresponding personnel but for the qualification evaluation of social generality
It goes to detect whether it meets evaluation requirement, then it is long to will lead to evaluation period, and take time and effort.
Summary of the invention
The embodiment of the invention provides a kind of qualification evaluation method, apparatus and server based on data analysis, can be with needle
Preview is carried out to user, and directly exports review result when receiving evaluation request, promotes evaluation efficiency.
In a first aspect, the embodiment of the invention provides a kind of qualification evaluation method based on data analysis, the method packet
It includes:
Receive the qualification evaluation request that user uploads, qualification evaluation request carry the user identity data and
With reference to review data；
Detect whether the identity data matches with the reference identity data stored in preset identity information database, institute
Stating preset identity information database includes the first preset identity information database and the second preset identity information database, and described the
The identity data of the personnel to hold qualification, the second preset identity information data are stored in one preset identity information database
The identity data for the personnel not held qualification is stored in library；
If the reference identity data stored in the identity data and the preset identity information database does not match that,
The corresponding target review data of the identity data is searched in preset review information database；
Calculate the similarity with reference between review data and the target review data；
If the similarity is greater than default similarity, user progress qualification is commented with reference to review data according to described
It examines, to obtain qualification evaluation result.
Second aspect, the embodiment of the invention provides a kind of qualification evaluation device based on data analysis, described device packets
It includes:
Receiving module, for receiving the qualification evaluation request of user's upload, the qualification evaluation request carries the use
The identity data at family and refer to review data；
Detection module, for detect the identity data whether with the reference identity that is stored in preset identity information database
Data match, and the preset identity information database includes the first preset identity information database and the second preset identity information
Database stores the identity data of the personnel to hold qualification in the first preset identity information database, and described second is pre-
Set the identity data that the personnel not held qualification are stored in identity information database；
Searching module, if the reference identity number for being stored in the identity data and the preset identity information database
According to not matching that, then the corresponding target review data of the identity data is searched in preset review information database；
Computing module, for calculating the similarity with reference between review data and the target review data；
Module is evaluated, if being greater than default similarity for the similarity, according to the reference review data to described
User carries out qualification evaluation, to obtain qualification evaluation result.
The third aspect, the embodiment of the invention provides a kind of server, including processor, input equipment, output equipment and
Memory, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is based on storing
Calculation machine program, the computer program include program instruction, and the processor is configured for calling described program instruction, are executed
Method described in first aspect.
Fourth aspect, the embodiment of the invention provides a kind of computer readable storage mediums, which is characterized in that the calculating
Machine readable storage medium storing program for executing is stored with computer program, and the computer program includes program instruction, and described program instruction, which is worked as, to be located
Reason device makes the processor execute method described in first aspect when executing.
In the embodiment of the present invention, server receives the qualification evaluation request that user uploads, and in eligibility for detection evaluation request
Identity data whether match with the reference identity data stored in preset identity information database, if not matching that, take
Business device searches the corresponding target review data of the identity data in preset review information database, and server calculates qualification evaluation
Similarity between reference review data in request and target review data, if the similarity being calculated is similar greater than presetting
Degree, then server carries out qualification evaluation to user according to reference review data, to obtain qualification evaluation result.It is above-mentioned by implementing
Method, by big data means by can be by the personnel of evaluation or cannot be by commenting before receiving qualification evaluation request
The information of careful personnel is stored into initialized data base, and directly obtains review result when receiving qualification evaluation request, can
Efficiency is evaluated to be promoted.Also, it, can be to user by calculating with reference to the similarity between review data and target review data
The authenticity of the review data of upload is verified, and is also avoided existing in target review data and be omitted.Improve the accurate of evaluation
Property.
Detailed description of the invention
Technical solution in order to illustrate the embodiments of the present invention more clearly, below will be to needed in embodiment description
Attached drawing is briefly described, it should be apparent that, drawings in the following description are some embodiments of the invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram for the qualification evaluation method that one of embodiment of the present invention is analyzed based on data；
Fig. 2 is the flow diagram of another qualification evaluation method based on data analysis in the embodiment of the present invention；
Fig. 3 is the structural schematic diagram for the qualification evaluation device that one of embodiment of the present invention is analyzed based on data；
Fig. 4 is the structural schematic diagram of one of embodiment of the present invention server.
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.
Fig. 1 is a kind of flow diagram of the qualification evaluation method based on data analysis in the embodiment of the present invention.Such as Fig. 1 institute
Show, the process of the qualification evaluation method based on data analysis in the present embodiment may include:
S101, server receive the qualification evaluation request that user uploads, and qualification evaluation requests to carry the identity number of user
According to reference review data.
In the embodiment of the present invention, user can upload qualification evaluation request in the specified page that user terminal provides,
In, the type of qualification evaluation request can handle qualification evaluation request for long shield danger, loan handles qualification evaluation request etc., above-mentioned
The identity data of user is carried in qualification evaluation request and with reference to review data.Wherein identity data includes identity document image
With identity characteristic data, identity characteristic data are used to verify the authenticity of user identity, finger print data, iris number such as user
It is referring to for the qualification to the user as evaluation of uploading of user oneself with reference to review data according to, human face data etc.
Data are requested for different types of qualification evaluation, and corresponding reference review data can be different, for example, qualification evaluation is asked
It asks and handles qualification evaluation request for long shield danger, then the reference review data that user needs to upload is medical data, including the user
History surgical site, consultation hours, institute's illness disease etc. use if qualification evaluation request handles qualification evaluation request for loan
The reference review data that family uploads then is bank card pipelined data, including monthly income, the moon expenditure, credit situation etc., needs to illustrate
, different types of qualification evaluation request is corresponding can be preset with reference to review data by research staff, and the present invention is real
Apply example without limitation.
It should also be noted that, it can be that user is whole that user, which uploads identity data and with reference to the concrete mode of review data,
End refers to the papery that user provides using optical character identification (Optical Character Recognition, OCR) technology
Evaluation data is identified, and is translated into the identifiable document of server, obtains identity data and with reference to review data.With
Family terminal is sent to server by the identity data of user and with reference to review data, and server comments above-mentioned identity data and reference
Careful data are received.
S102, server detection identity data whether with the reference identity data phase that is stored in preset identity information database
Matching.
In the embodiment of the present invention, server gets the identity data of user's upload and with reference to after review data, will examine
Survey whether identity data matches with the reference identity data stored in preset identity information database, wherein preset identity letter
Ceasing database includes the first preset identity information database and the second preset identity information database, the first preset identity information number
According to the identity data for storing the personnel to hold qualification in library, stores in the second preset identity information database and do not hold qualification
Personnel identity data.It should be noted that requesting for different type qualification evaluation, different preset identity can be corresponded to
Information database, and the identity data stored in different preset identity information databases is not identical, specifically, server is receiving
It, will be in the corresponding preset identity information database of the qualification evaluation request type after the qualification evaluation request uploaded to user
Search whether that there are the identity datas.
In the specific implementation, if server has found the identity number of the user in the first preset identity information database
According to the reference identity data phase stored in the identity data in qualification evaluation request and the first preset identity information database
Match, then server determines that the qualification evaluation result for the user is that evaluation passes through；If server is in the second preset identity information
The identity data of the user has been found in database, i.e., has deposited in the identity data in qualification evaluation request and the second preset data
The reference identity data of storage matches, it is determined that the qualification evaluation result for the user is that evaluation does not pass through.
Further, the first preset identity information database and the second preset identity information database are also previously provided with excellent
First grade, identity data in the evaluation request of server eligibility for detection whether with the reference body that is stored in preset identity information database
The concrete mode that part data match can be that server obtains the first preset identity information database and the second preset identity letter
The priority of database is ceased, if the priority of the first preset identity information database is higher than the second preset identity information database
Priority, then server priority detect the user identity data whether with the ginseng that is stored in the first preset identity information database
Identity data is examined to match, if matching, server directly to user terminal return evaluation pass through as a result, if mismatch,
Server detect again the user identity data whether with the reference identity data that is stored in the second preset identity information database
Match, if matching, server, which is directly returned to user terminal, to be evaluated unsanctioned as a result, if mismatch, server are true
The reference identity data for determining to store in the identity data and preset identity information database of user's upload does not match that.
It is understood that if the priority of the second preset identity information database is higher than the first preset identity information data
The priority in library, then server priority detect the user identity data whether with stored in the second preset identity information database
Reference identity data match, if matching, it is unsanctioned as a result, if not that server directly returns to evaluation to user terminal
Match, then server detect again the user identity data whether with the reference identity that is stored in the first preset identity information database
Data match, if matching, server directly returns to the result that evaluation passes through to user terminal, wherein the first preset identity
The priority of information database and the second preset identity information database can be preset by research staff, the embodiment of the present invention
Without limitation.If mismatching, server determines the identity data that user uploads and stores in preset identity information database
It is not matched that with reference to identity data.And execute step S103.
It should be noted that the daily behavior data for different user that server can be arrived according to historical reception are established
First preset identity information database and the second preset identity information database, for example, request is handled for the dangerous qualification of long shield, the
One preset identity information database specifically establishes mode and can be, in patient assessment, server receives the needle that doctor uploads
It include the illness and age that patient is suffered to the diagnostic message of patient, in the diagnostic message, server detects the patient
Age be greater than the default age, and the corresponding target disability grade of the illness is determined according to illness and the corresponding relationship of disability grade
After default disability grade, by the Identity data store of the patient into the first preset identity information database, alternatively, doctor
It is raw direct remarks patient to have the qualification for handling long shield danger when uploading the diagnostic message of the patient, then server
It can be by the Identity data store of the patient into the first preset identity information database.Further, server can also be real-time
Receive not having and handle the long identity data (such as lawbreaker) for protecting dangerous personnel, server by it is above-mentioned do not have handle long shield danger money
The Identity data store of the personnel of lattice is into the second preset identity information database.Wherein, preset identity information database is right
When above-mentioned identity data is stored, the default storage duration for each identity data can also be obtained in advance, when detecting
When storage duration of the identity data in preset identity information database is greater than default storage duration, server is by above-mentioned identity number
According in the preset identity information database of removal, wherein default storage duration can be set in advance by the personnel for uploading the identity data
It sets.
If the reference identity data stored in S103, identity data and preset identity information database does not match that, take
Business device searches the corresponding target review data of identity data in preset review information database.
In the embodiment of the present invention, if being stored in identity data and preset identity information database in qualification evaluation request
It is not matched that with reference to identity data, then server searches the corresponding target evaluation of identity data in preset review information database
Data.Wherein, the pre-recorded data for evaluation about different personnel are stored in preset review information database, on
Stating the pre-recorded data for evaluation can be obtained by the mode of big data, for example, the type of qualification evaluation request is length
Qualification evaluation request is handled in shield danger, then preset review information database can be medical insurance information database, and which stores not
It include consultation hours, surgical site, institute's illness disease etc. in diagnosis and therapy recording, server will be medical with the history diagnosis and therapy recording of personnel
Target review data of the diagnosis and therapy recording for the user recorded in insurance information database as the user.Alternatively, qualification
Evaluation request or loan qualification evaluation request, then preset review information database can be the Transaction Information of each bank
The set of database, which stores the bank card flowing water information of different personnel, credit record etc., server is by trading information data
What is recorded in library is directed to the target review datas of the information as the user such as user's bank card flowing water information, the credit record.
S104, server are calculated with reference to the similarity between review data and target review data.
In the embodiment of the present invention, server finds the identity data pair of user's upload in preset review information database
After the target review data answered, it will calculate with reference to the similarity between review data and target review data, wherein reference is commented
Examining includes at least one Project evaluation in data, includes at least one Project evaluation in target review data.Similarity it is specific
Calculation can be that server obtains the quantity with reference to identical Project evaluation in review data and target review data；And
Calculate the ratio in the quantity and reference review data of identical Project evaluation between the quantity of Project evaluation；Server will calculate
Obtained ratio is determined as with reference to the similarity between review data and target review data.
For example, the type of qualification evaluation request is that qualification evaluation request is handled in long shield danger, the reference that user uploads is commented
Examining the Project evaluation for including in data is diabetes, hypertension, heart disease, hepatitis B, the evaluation item for including in target review data
Mesh is diabetes, hypertension, then server determines the number with reference to identical Project evaluation in review data and target review data
Amount is 2, and the ratio in the quantity and reference review data of identical Project evaluation between the quantity of Project evaluation is 50%, i.e. phase
It is 50% like degree.
Further, after server calculates the similarity referred between review data and target review data, if calculating
Obtained similarity is greater than default similarity, then server executes step S105.
Optionally, the similarity between the server reference review data being calculated and target review data is less than default
Similarity, then server can send prompt information to user terminal, and the prompt information, which includes that qualification evaluation request is doubtful, deposits
In the description of defect and 3 option of operation, respectively the first option of operation, the second option of operation and third option of operation,
In, the first option of operation can be to continue to evaluate and carry out evaluation option of operation, the second option of operation using with reference to review data
It can be to continue to evaluate and evaluation option of operation is carried out using target review data, third option of operation is to upload reference again to comment
Data options are examined, server receives the selection operation that user terminal is directed to option of operation, if server is received for the first behaviour
Make the selection operation of option, then the reference review data uploaded to user is carried out authenticity verification by server, wherein authenticity
Whether the mode of verifying refers to including verification comprising default identifier in review data image, such as presetting in hospital charge bill
Identifier, alternatively, manually being verified to reference review data.If server receives the selection behaviour for the second option of operation
Make, then server directlys adopt target review data and evaluates to the qualification of the user.If server is received for third
The selection operation of option of operation, the then review data that server receives user terminal uploads again are used as with reference to review data, and
This is calculated again with reference to the similarity between review data and target review data.If similarity is greater than default similarity, take
Business device carries out qualification evaluation to user using the reference review data that this is received, if similarity is less than default similarity,
Above-mentioned prompt information is sent to user terminal.It, can by calculating with reference to the similarity between review data and target review data
It is verified with the authenticity of the review data uploaded to user, also avoids existing in target review data and omit.It improves and comments
Careful accuracy.
If S105, similarity are greater than default similarity, server carries out qualification to user according to reference review data and comments
It examines, to obtain qualification evaluation result.
In the embodiment of the present invention, after server calculates the similarity referred between review data and target review data,
If the similarity being calculated is greater than default similarity, server carries out qualification evaluation to user according to reference review data,
And obtaining qualification evaluation result, wherein qualification evaluation result includes evaluating to pass through or evaluate not passing through, further, server
After obtaining review result, above-mentioned review result is sent to the user terminal, user is consulted on the subscriber terminal and is commented
It concludes fruit.
In the embodiment of the present invention, server receives the qualification evaluation request that user uploads, and in eligibility for detection evaluation request
Identity data whether match with the reference identity data stored in preset identity information database, if not matching that, take
Business device searches the corresponding target review data of the identity data in preset review information database, and server calculates qualification evaluation
Similarity between reference review data in request and target review data, if the similarity being calculated is similar greater than presetting
Degree, then server carries out qualification evaluation to user according to reference review data, to obtain qualification evaluation result.It is above-mentioned by implementing
Method, by big data means by can be by the personnel of evaluation or cannot be by commenting before receiving qualification evaluation request
The information of careful personnel is stored into initialized data base, and directly obtains review result when receiving qualification evaluation request, can
Efficiency is evaluated to be promoted.Also, it, can be to user by calculating with reference to the similarity between review data and target review data
The authenticity of the review data of upload is verified, and is also avoided existing in target review data and be omitted, improves the accurate of evaluation
Property.
Fig. 2 is the flow diagram for the qualification evaluation method that another kind is analyzed based on data in the embodiment of the present invention.Such as Fig. 2
Shown, the process of the qualification evaluation method based on data analysis in the present embodiment may include:
S201, server receive the qualification evaluation request that user uploads, and qualification evaluation requests to carry the identity number of user
According to reference review data.
In the embodiment of the present invention, user can upload qualification evaluation request, qualification in specified page on the subscriber terminal
The identity data of user is carried in evaluation request and with reference to review data.Wherein identity data includes identity document image and body
Part characteristic, identity characteristic data user really with the authenticity of user identity, as the finger print data of user, iris data,
Human face data etc. is the number for the qualification to the user as evaluation reference that user oneself uploads with reference to review data
According to for the request of different types of qualification evaluation, corresponding reference review data can be different.
Whether S202, server detection identity data match with preset identity data.
In the embodiment of the present invention, after server gets the identity data of user terminal uploads, the identity number will test
According to authenticity, concrete mode is to detect whether the identity data matches with preset identity data, if matching, server is true
The identity data for determining user's upload is true identity data, if mismatching, server determines the identity data that user uploads
It is doubtful to there is exception, and above-mentioned identity data is transferred into manual review, alternatively, sending prompt information to the user, prompt user
Again identity data is uploaded, and receives the identity data that user uploads again.
In the specific implementation, identity data includes identity document image and identity characteristic data, identity characteristic data include people
Face data, finger print data and iris data etc., server detect user upload identity data whether with preset identity data phase
Matched mode is that server obtains the corresponding preset identity characteristic data of identity document image and preset identity characteristic number
According to corresponding verification sequence.Wherein, the corresponding preset identity characteristic data of identity document image can handle the body for user
Preset when part certificate, if identity document is identity card, then user can when handling identity card typing human face data, fingerprint
Data and iris data, as preset human face data, preset finger print data and preset iris data.Further, server is examined
Survey whether identity characteristic data match with preset identity characteristic data.
In one implementation, preset identity characteristic data are one in human face data, finger print data or iris data
Kind, such as preset human face data, then server calculates the similarity between the human face data and preset human face data that user uploads, if
Similarity is greater than preset threshold, then the identity data that server determines that user uploads matches with preset identity data.
In one implementation, preset identity characteristic data be human face data, finger print data and iris data in extremely
Few two kinds, such as preset human face data and preset finger print data, and corresponding verification sequence is, preset human face data are preset preceding
Finger print data is calculated in the similarity between human face data and preset human face data rear, then that server calculating user uploads
The similarity between finger print data and preset finger print data that user uploads, if the similarity of the two is both greater than preset threshold,
Server further detect identity characteristic data upload sequence whether verification sequence phase corresponding with preset identity characteristic data
Matching, wherein the corresponding verification sequence of preset identity characteristic data is preset by user when handling identity document.If identity
The upload sequence of characteristic verification sequence corresponding with preset identity characteristic data matches, and S203 is thened follow the steps, if body
The upload sequence of part characteristic verification sequence corresponding with preset identity characteristic data do not match that, then server can to
Family terminal sends prompt information, for prompting the user terminal to upload qualification evaluation request again.
S203, server detection identity data whether with the reference identity data phase that is stored in preset identity information database
Matching.
In the embodiment of the present invention, preset identity information database includes that the first preset identity information database and second are preset
Identity information database stores the identity data of the personnel to hold qualification in the first preset identity information database, and second is pre-
Set the identity data that the personnel not held qualification are stored in identity information database.
In one implementation, the first preset identity information database specifically to establish mode can be that server obtains
Take the daily behavior data for each user at least one user, daily behavior data include financial data, credit data,
At least one of medical data；It is preset when server detects the presence of the corresponding target daily behavior data satisfaction of target user
When qualification evaluation rule, the identity data of target user is obtained；By the Identity data store of target user to the first preset identity
In information database.For example, qualification evaluation request is loan qualification evaluation request, then server can obtain the finance of different user
Data and credit data, such as bank's flowing water, credit card are broken one's promise record, and determine if there is loan for each user
Qualification is handled, if having, server is by the Identity data store of user in the first preset identity information database.
In one implementation, the second preset identity information database specifically to establish mode can be that server obtains
The abnormal behaviour information that fetching fix the number of workers uploads, and extract the identity data in abnormal behaviour information；Server is by abnormal behaviour
Identity data store in information is determined into the second preset identity information database, and according in abnormal behaviour information for different
The corresponding default storage duration of identity data in normal behavioural information；When detecting the identity data in abnormal behaviour information
When storage duration in two preset identity information databases is greater than default storage duration, by the identity data in abnormal behaviour information
It removes in the second preset identity information database.For example, designated person is police, abnormal behaviour information is illegal information,
Server extracts the identity data in illegal information, and by the Identity data store in the second preset identity information database,
Further, server obtains the illicit content in the illegal information, and according to the corresponding relationship of illicit content and storage duration
Determine the storage duration for the identity data in the illegal information.Wherein, illicit content and the corresponding relationship of storage duration can
To be preset by research staff, the embodiment of the present invention is without limitation.
After establishing the first preset identity information database and the second preset identity information database, if server exists
Found the identity data of the user in first preset identity information database, i.e., the identity data in qualification evaluation request with
The reference identity data stored in first preset identity information database matches, then server determines the qualification for being directed to the user
Review result is that evaluation passes through；If server has found the identity number of the user in the second preset identity information database
According to the reference identity data stored in the identity data in qualification evaluation request and the second preset data matches, it is determined that
Qualification evaluation result for the user is that evaluation does not pass through.If identity data and the first preset identity in qualification evaluation request
The reference identity data stored in information database and the second preset identity information database mismatches, it is determined that qualification evaluation
The reference identity data stored in identity data and the preset identity information database in request does not match that, and executes step
Rapid S204.
If the reference identity data stored in S204, identity data and preset identity information database does not match that, take
Business device searches the corresponding target review data of identity data in preset review information database.
S205, server are calculated with reference to the similarity between review data and target review data.
In the embodiment of the present invention, server finds the identity data pair of user's upload in preset review information database
After the target review data answered, it will calculate with reference to the similarity between review data and target review data, wherein reference is commented
Examining includes at least one Project evaluation in data, includes at least one Project evaluation in target review data.Similarity it is specific
Calculation can be that server obtains the quantity with reference to identical Project evaluation in review data and target review data；And
Calculate the ratio in the quantity and reference review data of identical Project evaluation between the quantity of Project evaluation；Server will calculate
Obtained ratio is determined as with reference to the similarity between review data and target review data.If server is calculated similar
Degree is less than or equal to default similarity, then server determines that qualification evaluation requests existing defects；And qualification evaluation is sent to user
Request corresponding defect information.If the similarity that server is calculated is greater than default similarity, S206 is thened follow the steps.
If S206, similarity are greater than default similarity, server carries out qualification to user according to reference review data and comments
It examines, to obtain qualification evaluation result.
In the embodiment of the present invention, after server calculates the similarity referred between review data and target review data,
If the similarity being calculated is greater than default similarity, server carries out qualification evaluation to user according to reference review data,
And obtaining qualification evaluation result, wherein qualification evaluation result includes evaluating to pass through or evaluate not passing through, further, server
After obtaining review result, above-mentioned review result is sent to the user terminal, user is consulted on the subscriber terminal and is commented
It concludes fruit.
In the embodiment of the present invention, server receives the qualification evaluation request that user uploads, and in eligibility for detection evaluation request
The authenticity of identity data, after determining that identity data is true identity data, in the evaluation request of server eligibility for detection
Identity data whether match with the reference identity data stored in preset identity information database, if not matching that, take
Business device searches the corresponding target review data of the identity data in preset review information database, and server calculates qualification evaluation
Similarity between reference review data in request and target review data, if the similarity being calculated is similar greater than presetting
Degree, then server carries out qualification evaluation to user according to reference review data, to obtain qualification evaluation result.It is above-mentioned by implementing
Method can ensure that the identity data that user uploads is true identity data by identity characteristic data and verification sequence, and
By big data means by can be by the personnel of evaluation or cannot be by evaluation before receiving qualification evaluation request
The information of personnel is stored into initialized data base, and directly obtains review result, Ke Yiti when receiving qualification evaluation request
Rise evaluation efficiency.Also, by calculating with reference to the similarity between review data and target review data, user can be uploaded
The authenticity of review data verified, also avoid existing in target review data and omit, improve the accuracy of evaluation.
The qualification evaluation device provided in an embodiment of the present invention based on data analysis is carried out below in conjunction with attached drawing 3 detailed
It introduces.It should be noted that the attached qualification evaluation device shown in Fig. 3 based on data analysis, for executing Fig. 1-Fig. 2 of the present invention
The method of illustrated embodiment, for ease of description, only parts related to embodiments of the present invention are shown, and particular technique details is not
It discloses, through referring to Fig. 1-of the present invention embodiment shown in Fig. 2.
Fig. 3 is referred to, it, should for a kind of structural schematic diagram of the qualification evaluation device based on data analysis provided by the invention
Qualification evaluation device 30 based on data analysis can include: receiving module 301, searching module 303, calculates mould at detection module 302
Block 304, evaluation module 305, memory module 306.
Receiving module 301, for receiving the qualification evaluation request of user's upload, the qualification evaluation request carries described
The identity data of user and refer to review data；
Detection module 302, for detect the identity data whether with the reference that is stored in preset identity information database
Identity data matches, and the preset identity information database includes the first preset identity information database and the second preset identity
Information database, stores the identity data of the personnel to hold qualification in the first preset identity information database, and described
The identity data for the personnel not held qualification is stored in two preset identity information databases；
Searching module 303, if the reference body for being stored in the identity data and the preset identity information database
Part data do not match that, then the corresponding target review data of the identity data is searched in preset review information database；
Computing module 304, for calculating the similarity with reference between review data and the target review data；
Module 305 is evaluated, if being greater than default similarity for the similarity, according to the reference review data to institute
It states user and carries out qualification evaluation, to obtain qualification evaluation result.
In one implementation, the identity data includes identity document image and identity characteristic data, the identity
Characteristic includes at least two in human face data, finger print data and iris data, and the detection detection module 302 is also used
In:
Obtain the corresponding preset identity characteristic data of the identity document image and the preset identity characteristic data pair
The verification sequence answered, the preset identity characteristic data include preset human face data, preset finger print data and preset iris data
In at least two；
Detect whether the identity characteristic data match with the preset identity characteristic data；
If so, whether the upload sequence for detecting the identity characteristic data matches with the verification sequence；
If so, identity data described in detection trigger whether with the reference identity number that is stored in preset identity information database
According to the operation to match.
In one implementation, described with reference to, including at least one Project evaluation, the target is evaluated in review data
Include at least one Project evaluation in data, the computing module 304 is specifically used for:
Obtain the quantity with reference to identical Project evaluation in review data and the target review data；
It calculates between the quantity of the identical Project evaluation and the quantity with reference to Project evaluation in review data
Ratio；
The ratio is determined as the similarity with reference between review data and the target review data.
In one implementation, the evaluation module 305, is specifically used for:
If the reference identity data stored in the identity data and the first preset identity information database matches, really
It surely is that evaluation passes through for the qualification evaluation result of the user；
If the reference identity data stored in the identity data and the second preset identity information database matches, really
It surely is that evaluation does not pass through for the qualification evaluation result of the user.
In one implementation, the evaluation module 305, is also used to:
If the similarity is less than or equal to default similarity, it is determined that the qualification evaluation requests existing defects；
The qualification evaluation, which is sent, to the user requests corresponding defect information.
In one implementation, the memory module 306, is specifically used for:
The daily behavior data for each user at least one user are obtained, the daily behavior data include finance
At least one of data, credit data, medical data；
When detecting the presence of the corresponding target daily behavior data of target user and meeting default qualification evaluation rule, obtain
The identity data of the target user；
By the Identity data store of the target user into the described first preset identity information database.
In one implementation, the memory module 306, is specifically used for:
The abnormal behaviour information that designated person uploads is obtained, and extracts the identity data in the abnormal behaviour information；
By the Identity data store in the abnormal behaviour information into the described second preset identity information database, and root
It determines according to the abnormal behaviour information for the corresponding default storage duration of identity data in the abnormal behaviour information；
When detecting the identity data in the abnormal behaviour information in the described second preset identity information database
When storing duration greater than the default storage duration, it is preset that the identity data in the abnormal behaviour information is removed described second
Identity information database.
In the embodiment of the present invention, receiving module 301 receives the qualification evaluation request that user uploads, and detection module 302 detects
Whether the identity data in qualification evaluation request matches with the reference identity data stored in preset identity information database, if
It not matching that, then searching module 303 searches the corresponding target review data of the identity data in preset review information database,
Computing module 304 calculates the similarity between reference review data and target review data in qualification evaluation request, if calculating
Obtained similarity is greater than default similarity, then evaluates module 305 according to reference review data and carry out qualification evaluation to user, with
Obtain qualification evaluation result.It, can by big data means before receiving qualification evaluation request by implementing the above method
By the personnel evaluated or cannot store by the information of the personnel of evaluation into initialized data base, and qualification is being received
Review result is directly obtained when evaluation request, evaluation efficiency can be promoted.
Fig. 4 is referred to, for the embodiment of the invention provides a kind of structural schematic diagrams of server.As shown in figure 4, the service
Device includes: at least one processor 401, input equipment 403, output equipment 404, memory 405, at least one communication bus
402.Wherein, communication bus 402 is for realizing the connection communication between these components.Wherein, input equipment 403 can be control
Panel or microphone etc., output equipment 404 can be display screen etc..Wherein, memory 405 can be high speed RAM memory,
It is also possible to non-labile memory (non-volatile memory), for example, at least a magnetic disk storage.Memory
405 optionally can also be that at least one is located remotely from the storage device of aforementioned processor 401.Wherein processor 401 can be tied
Device described in Fig. 3 is closed, batch processing code, and processor 401 are stored in memory 405, input equipment 403, output is set
The program code stored in standby 404 calling memory 405, for performing the following operations:
Input equipment 403, for receiving the qualification evaluation request of user's upload, the qualification evaluation request carries described
The identity data of user and refer to review data；
Processor 401, for detect the identity data whether with the reference body that is stored in preset identity information database
Part data match, and the preset identity information database includes the first preset identity information database and the second preset identity letter
Database is ceased, stores the identity data of the personnel to hold qualification in the first preset identity information database, described second
The identity data for the personnel not held qualification is stored in preset identity information database；
Processor 401, if the reference identity for being stored in the identity data and the preset identity information database
Data do not match that, then the corresponding target review data of the identity data is searched in preset review information database；
Processor 401, for calculating the similarity with reference between review data and the target review data；
Processor 401, if being greater than default similarity for the similarity, according to the reference review data to described
User carries out qualification evaluation, to obtain qualification evaluation result.
In one implementation, the identity data includes identity document image and identity characteristic data, the identity
Characteristic includes at least two in human face data, finger print data and iris data, and processor 401 is specifically used for:
Obtain the corresponding preset identity characteristic data of the identity document image and the preset identity characteristic data pair
The verification sequence answered, the preset identity characteristic data include preset human face data, preset finger print data and preset iris data
In at least two；
Detect whether the identity characteristic data match with the preset identity characteristic data；
If so, whether the upload sequence for detecting the identity characteristic data matches with the verification sequence；
If so, identity data described in detection trigger whether with the reference identity number that is stored in preset identity information database
According to the operation to match.
In one implementation, described with reference to, including at least one Project evaluation, the target is evaluated in review data
Include at least one Project evaluation in data, processor 401 is specifically used for:
Obtain the quantity with reference to identical Project evaluation in review data and the target review data；
It calculates between the quantity of the identical Project evaluation and the quantity with reference to Project evaluation in review data
Ratio；
The ratio is determined as the similarity with reference between review data and the target review data.
In one implementation, processor 401 are specifically used for:
If the reference identity data stored in the identity data and the first preset identity information database matches, really
It surely is that evaluation passes through for the qualification evaluation result of the user；
If the reference identity data stored in the identity data and the second preset identity information database matches, really
It surely is that evaluation does not pass through for the qualification evaluation result of the user.
In one implementation, processor 401, if being less than or equal to default similarity for the similarity, really
The fixed qualification evaluation requests existing defects；
Output equipment 404 requests corresponding defect information for sending the qualification evaluation to the user.
In one implementation, input equipment 403, for obtain be directed at least one user in each user it is daily
Behavioral data, the daily behavior data include at least one of financial data, credit data, medical data；
Processor 401, is specifically used for:
When detecting the presence of the corresponding target daily behavior data of target user and meeting default qualification evaluation rule, obtain
The identity data of the target user；
By the Identity data store of the target user into the described first preset identity information database.
In one implementation, input equipment 403 for obtaining the abnormal behaviour information of designated person's upload, and mention
Take the identity data in the abnormal behaviour information；
Processor 401, is specifically used for:
By the Identity data store in the abnormal behaviour information into the described second preset identity information database, and root
It determines according to the abnormal behaviour information for the corresponding default storage duration of identity data in the abnormal behaviour information；
When detecting the identity data in the abnormal behaviour information in the described second preset identity information database
When storing duration greater than the default storage duration, it is preset that the identity data in the abnormal behaviour information is removed described second
Identity information database.
In the embodiment of the present invention, input equipment 403 receives the qualification evaluation request that user uploads, the detection money of processor 401
Whether the identity data in lattice evaluation request matches with the reference identity data stored in preset identity information database, if not
Match, then processor 401 searches the corresponding target review data of the identity data in preset review information database, processing
Device 401 calculates the similarity between reference review data and target review data in qualification evaluation request, if be calculated
Similarity is greater than default similarity, then processor 401 carries out qualification evaluation to user according to reference review data, to obtain qualification
Review result.It, can be by commenting by big data means before receiving qualification evaluation request by implementing the above method
Careful personnel cannot be stored by the information of the personnel of evaluation into initialized data base, and receive qualification evaluation request
When directly obtain review result, evaluation efficiency can be promoted.
Module described in the embodiment of the present invention can pass through universal integrated circuit, such as CPU (Central
Processing Unit, central processing unit), or pass through ASIC (Application Specific Integrated
Circuit, specific integrated circuit) Lai Shixian.
It should be appreciated that in embodiments of the present invention, alleged processor 401 can be central processing module (Central
Processing Unit, CPU), which can also be other general processors, digital signal processor (Digital
Signal Processor, DSP), specific integrated circuit (Application Specific Integrated Circuit,
ASIC), ready-made programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic
Device, discrete gate or transistor logic, discrete hardware components etc..General processor can be microprocessor or this at
Reason device is also possible to any conventional processor etc..
It is total that bus 402 can be industry standard architecture (Industry Standard Architecture, ISA)
Line, Peripheral Component Interconnect (Peripheral Component, PCI) bus or extended industry-standard architecture (Extended
Industry Standard Architecture, EISA) bus etc., it is total which can be divided into address bus, data
Line, control bus etc., for convenient for indicating, Fig. 4 is only indicated with a thick line, it is not intended that an only bus or a seed type
Bus.
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 program can be stored in computer readable storage medium,
The program is when being executed, it may include such as the process of the embodiment of above-mentioned each method.Wherein, the computer readable storage medium
It can be magnetic disk, CD, read-only memory (Read-Only Memory, ROM) or random access memory (Random
Access Memory, RAM) etc..
The above disclosure is only the preferred embodiments of the present invention, cannot limit the right model of the present invention with this certainly
It encloses, therefore equivalent changes made in accordance with the claims of the present invention, is still within the scope of the present invention.
Claims (10)
1. a kind of qualification evaluation method based on data analysis, which is characterized in that the described method includes:
The qualification evaluation request that user uploads is received, the qualification evaluation request carries identity data and the reference of the user
Review data；
Detect whether the identity data matches with the reference identity data stored in preset identity information database, it is described pre-
Setting identity information database includes the first preset identity information database and the second preset identity information database, and described first is pre-
The identity data that the personnel to hold qualification are stored in identity information database is set, in the second preset identity information database
Store the identity data for the personnel not held qualification；
If the reference identity data stored in the identity data and the preset identity information database does not match that, pre-
It comments on and searches the corresponding target review data of the identity data in careful information database；
Calculate the similarity with reference between review data and the target review data；
If the similarity is greater than default similarity, qualification evaluation is carried out to the user with reference to review data according to described,
To obtain qualification evaluation result.
2. the method according to claim 1, wherein the identity data includes that identity document image and identity are special
Data are levied, the identity characteristic data include at least two in human face data, finger print data and iris data, the detection institute
It states before whether identity data match with the reference identity data stored in preset identity information database, the method is also wrapped
It includes:
It obtains the corresponding preset identity characteristic data of the identity document image and the preset identity characteristic data is corresponding
Verification sequence, the preset identity characteristic data include in preset human face data, preset finger print data and preset iris data
At least two；
Detect whether the identity characteristic data match with the preset identity characteristic data；
If so, whether the upload sequence for detecting the identity characteristic data matches with the verification sequence；
If so, identity data described in detection trigger whether with the reference identity data phase that is stored in preset identity information database
Matched operation.
3. the method according to claim 1, wherein described evaluate item including at least one with reference in review data
Mesh includes at least one Project evaluation in the target review data, it is described calculate it is described with reference to review data and the target
Similarity between review data, which comprises
Obtain the quantity with reference to identical Project evaluation in review data and the target review data；
Calculate the ratio between the quantity of the identical Project evaluation and the quantity with reference to Project evaluation in review data；
The ratio is determined as the similarity with reference between review data and the target review data.
4. the method according to claim 1, wherein whether the detection identity data is believed with preset identity
After the reference identity data stored in breath database matches, the method also includes:
If the reference identity data stored in the identity data and the first preset identity information database matches, it is determined that needle
Qualification evaluation result to the user is that evaluation passes through；
If the reference identity data stored in the identity data and the second preset identity information database matches, it is determined that needle
Qualification evaluation result to the user is that evaluation does not pass through.
5. being commented with reference to review data with the target the method according to claim 1, wherein the calculating is described
It examines after the similarity between data, the method also includes:
If the similarity is less than or equal to default similarity, it is determined that the qualification evaluation requests existing defects；
The qualification evaluation, which is sent, to the user requests corresponding defect information.
6. method according to any one of claims 1-5, which is characterized in that the method also includes:
The daily behavior data for each user at least one user are obtained, the daily behavior data include financial number
According to, at least one of credit data, medical data；
When detecting the presence of the corresponding target daily behavior data of target user and meeting default qualification evaluation rule, described in acquisition
The identity data of target user；
By the Identity data store of the target user into the described first preset identity information database.
7. according to the method described in claim 6, it is characterized in that, the method also includes:
The abnormal behaviour information that designated person uploads is obtained, and extracts the identity data in the abnormal behaviour information；
By the Identity data store in the abnormal behaviour information into the described second preset identity information database, and according to institute
Abnormal behaviour information is stated to determine for the corresponding default storage duration of identity data in the abnormal behaviour information；
When detecting storage of the identity data in the abnormal behaviour information in the described second preset identity information database
When duration is greater than the default storage duration, the identity data in the abnormal behaviour information is removed into the second preset identity
Information database.
8. a kind of qualification evaluation device based on data analysis, which is characterized in that described device includes:
Receiving module, for receiving the qualification evaluation request of user's upload, the qualification evaluation request carries the user's
Identity data and refer to review data；
Detection module, for detect the identity data whether with the reference identity data that is stored in preset identity information database
Match, the preset identity information database includes the first preset identity information database and the second preset identity information data
Library stores the identity data of the personnel to hold qualification in the first preset identity information database, and described second stays in advance
The identity data for the personnel not held qualification is stored in part information database；
Searching module, if the reference identity data for storing in the identity data and the preset identity information database is not
Match, then searches the corresponding target review data of the identity data in preset review information database；
Computing module, for calculating the similarity with reference between review data and the target review data；
Module is evaluated, if being greater than default similarity for the similarity, according to the reference review data to the user
Qualification evaluation is carried out, to obtain qualification evaluation result.
9. a kind of server, which is characterized in that including processor, input equipment, output equipment and memory, the processor,
Input equipment, output equipment and memory are connected with each other, wherein the memory is for storing computer program, the calculating
Machine program includes program instruction, and the processor is configured for calling described program instruction, is executed as claim 1-7 is any
Method described in.
10. a kind of computer readable storage medium, which is characterized in that the computer-readable recording medium storage has computer journey
Sequence, the computer program include program instruction, and described program instruction executes the processor such as
The described in any item methods of claim 1-7.
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| PCT/CN2019/118451 WO2020253065A1 (en) | 2019-06-18 | 2019-11-14 | Qualification appraisal method and apparatus based on data analysis, and server |
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| WO2020253065A1 (en) | 2020-12-24 |
| CN110334107B (en) | 2023-06-02 |
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