CN107038217A - Love and marriage object matching method and device - Google Patents
Love and marriage object matching method and device Download PDFInfo
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- CN107038217A CN107038217A CN201710153439.1A CN201710153439A CN107038217A CN 107038217 A CN107038217 A CN 107038217A CN 201710153439 A CN201710153439 A CN 201710153439A CN 107038217 A CN107038217 A CN 107038217A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2457—Query processing with adaptation to user needs
- G06F16/24573—Query processing with adaptation to user needs using data annotations, e.g. user-defined metadata
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2455—Query execution
- G06F16/24564—Applying rules; Deductive queries
Abstract
Present invention relates particularly to a kind of love and marriage object matching method and device.The love and marriage object matching method that the present invention is provided, including：Obtain the personal information deposit database of user's typing；Matching degree analysis is carried out according to the personal information of other users in the personal information of user's typing and the database；The result analyzed according to matching degree recommends the love and marriage object of matching for the user.The love and marriage object matching method and device that the present invention is provided, the matching analysis is carried out by the personal information of other users in the personal information and database by user, according to the characteristics of everyone and demand, suitable love and marriage object recommendation is scientifically and rationally filtered out to user, so that the both sides' compatible degree being matched reaches highest, the success rate of love and marriage pairing is improved.
Description
Technical field
The present invention relates to technical field of data processing, and in particular to a kind of love and marriage object matching method and device.
Background technology
Marriage is the necessary factor for maintaining human civilization to make smooth advances, and will also be stagnated without marriage human civilization, by
This visible marriage is for the importance of the mankind, and a perfect marriage can more allow except society can be allowed to tend to be harmonious, stably
Men and women's all one's life happiness, happiness.
In the fast-developing environment of modern science and technology, computer role in life increasingly holds the balance, especially
It is internet hypertrophy instantly, and network virtual has increasing need for being closing the distance with actual life, to it is busy all
City youth provides more convenient friend-making mode.The love and marriage website registration personal information of many people on the internet, is filled out now
Write and choose friends requirement, it is desirable to which the lover in marriage palace can be stepped into this way by finding.
But, the personnel of registration love and marriage website are countless, to look for suitable companion in this boundless and indistinct sea of faces, very not
Easily, the problem of suitable love and marriage object is urgent need to resolve how is fast and effeciently filtered out.
The content of the invention
How quick effective the love and marriage object matching method and device provided for defect of the prior art, the present invention is
Filter out suitable love and marriage object, improve love and marriage pairing success rate.
In a first aspect, a kind of love and marriage object matching method that the present invention is provided, including：Obtain the personal information of user's typing
It is stored in database；Matched according to the personal information of user's typing with the personal information of other users in the database
Degree analysis；The result analyzed according to matching degree recommends the love and marriage object of matching for the user.
The love and marriage object matching method that the present embodiment is provided, passes through other users in the personal information and database by user
Personal information carry out the matching analysis, according to the characteristics of everyone and demand, scientifically and rationally filter out suitable love and marriage object
Recommend user so that the both sides' compatible degree being matched reaches highest, improve the success rate of love and marriage pairing.
Preferably, the personal information deposit database for obtaining user's typing, including：User is by preset term typing
People's data；The personal information is pressed into regular carry out project classification set in advance, project level includes project of the utmost importance, important
Database is stored in after project and general item.
Preferably, the personal information according to user's typing and the personal information of other users in the database
Matching degree analysis is carried out, including：The personal information of other users is obtained from the database；By the personal information of the user
Carry out matching the compatible degree score value for obtaining each project by project with the personal information of the other users of acquisition；The contract of each project
Right score value is added up after being multiplied by the corresponding weight of the project, obtains the compatible degree of the user and other users, wherein, often
The corresponding weight of individual project is determined according to project level.
Preferably, the personal information of other users of the personal information by the user with obtaining presses project progress
With the compatible degree score value for obtaining each project, including：If project is single problem project, according to the user and object to be matched
The option provided for project is matched with the matched rule of project, obtains the compatible degree score value of project；If project is asked to be double
Topic project, then be directed to project Second Problem according to the option and object to be matched of the project first problem offer of user's pin
The option of offer is matched with the matched rule of project, obtains the first compatible degree score value of the project, and item is directed to according to user
The option and object to be matched that mesh Second Problem is provided are for the option of project first problem offer and matching for project
Rule is matched, and obtains the second compatible degree score value of the project, and comprehensive first compatible degree score value and the second compatible degree score value are obtained
To the compatible degree score value of the project；If project is numeric type project, filled according to user and object to be matched for project
Numerical value, calculate obtaining compatible degree score value by the matched rule of project.
Preferably, in addition to：Obtain the pairing custom option that the user pre-sets；It is described from the database
The personal information of other users is obtained, including：The user for meeting the pairing custom option is filtered out from the database,
Obtain the personal information of the user filtered out.
Preferably, in addition to examine user's typing personal information authenticity, the credit rating of counting user, credit rating is low
Forbid checking the data of other users in the user of credit threshold.
Second aspect, a kind of love and marriage object matching device that the present invention is provided, including：Typing module, for obtaining user
The personal information deposit database of typing；Matching module, for the personal information according to user's typing and the database
The personal information of middle other users carries out matching degree analysis；Recommending module, the result for being analyzed according to matching degree is used to be described
Recommend the love and marriage object of matching in family.
The love and marriage object matching device that the present embodiment is provided, passes through other users in the personal information and database by user
Personal information carry out the matching analysis, according to the characteristics of everyone and demand, scientifically and rationally filter out suitable love and marriage object
Recommend user so that the both sides' compatible degree being matched reaches highest, improve the success rate of love and marriage pairing.
Preferably, the typing module specifically for：User presses preset term typing personal information；By the personal information
By regular carry out project classification set in advance, project level includes being stored in after project of the utmost importance, big event and general item
Database.
Preferably, the matching module specifically for：The personal information of other users is obtained from the database；By institute
The personal information for stating user is carried out matching the compatible degree for obtaining each project with the personal information of the other users obtained by project
Score value；The compatible degree score value of each project is added up after being multiplied by the corresponding weight of the project, is obtained the user and is used with other
The compatible degree at family, wherein, the corresponding weight of each project is determined according to project level.
Preferably, in addition to custom block, for obtaining the pairing custom option that the user pre-sets；It is described
In matching module, the personal information that other users are obtained from the database, including：Filtered out from the database
The user of the pairing custom option is met, the personal information of the user filtered out is obtained.
Preferably, in addition to validating module, the authenticity of the personal information for examining user's typing, the letter of counting user
Expenditure, credit rating forbids checking the data of other users less than the user of credit threshold.
Brief description of the drawings
The flow chart for the love and marriage object matching method that Fig. 1 is provided by the embodiment of the present invention；
The structured flowchart for the love and marriage object matching device that Fig. 2 is provided by the embodiment of the present invention.
Embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with accompanying drawing.Following examples are only used for
Clearly illustrate technical scheme, therefore be intended only as example, and the protection of the present invention can not be limited with this
Scope.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
As shown in figure 1, a kind of love and marriage object matching method that the present embodiment is provided, including：
Step S1, obtains the personal information deposit database of user's typing.
Step S2, matching degree point is carried out according to the personal information of other users in the personal information and database of user's typing
Analysis.
Step S3, the result analyzed according to matching degree recommends the love and marriage object of matching for user.
The love and marriage object matching method that the present embodiment is provided, passes through other users in the personal information and database by user
Personal information carry out the matching analysis, according to the characteristics of everyone and demand, scientifically and rationally filter out suitable love and marriage object
Recommend user so that the both sides' compatible degree being matched reaches highest, improve the success rate of love and marriage pairing.
Classification for convenience to personal information and the format and content of unified typing data, the step S1 side of being preferable to carry out
Method includes：
Step S11, user presses preset term typing personal information.
Step S12, regular carry out project classification set in advance is pressed by personal information, and project level includes item of the utmost importance
Database is stored in after mesh, big event and general item.
In order to improve the accuracy rate of love and marriage matching, the step S2 method that is preferable to carry out is specifically included：
Step S21, obtains the personal information of other users from database.
Step S22, the personal information of the other users by the personal information of user with obtaining is matched by project
The compatible degree score value of each project.
Step S23, the compatible degree score value of each project is added up after being multiplied by the corresponding weight of the project, obtain user with
The compatible degree of other users, wherein, the corresponding weight of each project is determined according to project level.
Wherein, default project includes but is not limited to herein below：Sex, nationality, area, race, nationality, religion letter
Face upward, political parties and groups, the age, marital status, children's situation, occupation, emolument, ability, housing condition, vehicle condition, wealth, family
Background, schooling (educational background), ability, height, build, stature, dress, makings (outside makings), appearance, skin, sound
Sound, breeding, personality (psychological makings), hobby, values, custom, hobby, bad habit, autotomy tendency, threatening, personal health
Situation, family's health status, exaggeration, camouflage, illusion, misunderstand, remedy, chance is held, chance abandons.
Wherein, each project can provide several options, and the pairing of each option provides compatible degree score value, compatible degree score value point
To be following several：Perfection agrees with (3 points), compares and agree with (2 points), gathers together (1 point or 0 point), is not suitable for (- 1 point), it is impossible to match (-
1000 points, some score values will cause overall score value to be directly changed into negative, veto by one vote), it is divided into according to the importance of project：Pole
The weight of big event is 3, and the weight of big event is 2, and the weight of general item is 1.
In the present embodiment, by setting up, detailed project and the comprehensive option of each project offer, have unified personal information
Content and form, improve the efficiency for the personal information for collecting and arranging user, it is ensured that subsequent match is smoothed out；According to
Significance level of the project in matching is classified, and assigns different weights to different classes of project, makes matching result more
Plus it is scientific and reasonable.
Illustrate step S2 is preferable to carry out method, and by taking family background project as an example, option is divided into three：A. good b. mono-
As c. it is bad.Each the compatible degree score value of the pairing of option is：Compatible degree between aa is that the compatible degree between 3, ab is 1, ac
Between compatible degree be that compatible degree between -1, bc is that compatible degree between 1, bb is that compatible degree between 3, cc is 1.And family
Background is big event, so the compatible degree produced between a male for extending this as a and a women for extending this as a in this
For 3 × 2=6 points；It is -1 × 2=-2 that one male and a women for extending this as c for extending this as a produces compatible degree in this
Point.
Each project is provided with different matched rules to calculate the compatible degree score value of each project in detail.
Project can substantially be divided into single problem project, double problem projects and numeric type according to the form of the option of offer
Mesh.User need to only be chosen for a problem in single problem project.Comprising two problems in double problem projects, the two are asked
There is correlation, such as, a problem is oneself situation in terms of certain, and another problem is exactly at this to companion between topic
The requirement of aspect, by taking project " hobby " as an example, two problems are respectively the hobby of oneself, the tolerance to the hobby.Numeric type
Project is that the option filled in is specific numerical value, such as age, height.Project for different types is, it is necessary to set difference
Matching way calculate compatible degree score value, therefore, step S22 preferred embodiment includes：
(1) if project is single problem project, option and object pin to be matched that the project is provided are directed to according to user
The option that the project is provided is matched with the matched rule of the project, the compatible degree score value of the project is obtained.
By taking schooling this project as an example, the project be single problem project there is provided option include herein below：
Doctor A and more than
B master
C undergraduate educations
D college-level specialized faculties
E senior middle schools
F junior middle schools
G primary schools and following
Wherein, the matched rule set as：AA compatible degrees score value is that 6, AB compatible degrees score value is that 6, AC compatible degree score values are
4, AD compatible degree score values are that 0, AE compatible degrees score value is that -2, AF compatible degrees score value is that -1000, AG compatible degrees score value is -1000；BB
Compatible degree score value is that 6, BC compatible degrees score value is that 6, BD compatible degrees score value is that 4, BE compatible degrees score value is that 2, BF compatible degree score values are
0, BG compatible degree score value is -2；CC compatible degrees score value is that 6, CD compatible degrees score value is that 6, CE compatible degrees score value is 2, CF compatible degrees point
It is -2 to be worth for 0, CG compatible degrees score value；DD compatible degrees are score value 6, and DE compatible degrees score value is that 4, DF compatible degrees score value is that 2, DG agrees with
It is 0 to spend score value；EE compatible degrees score value is that 6, EF compatible degrees score value is that 6, EG compatible degrees score value is 4；FF compatible degrees score value is 6, FG
Compatible degree score value is 6；GG compatible degrees score value is 6.
More than be an example, every numerical value in matched rule can be adjusted according to project.
(2) if project is double problem projects, according to user is for the option of project first problem offer and treats
The option that matching object is provided for the project Second Problem is matched with the matched rule of the project, obtains the project
First compatible degree score value, the option and object to be matched provided according to user for the project Second Problem is directed to the project
The option that first problem is provided is matched with the matched rule of the project, obtains the second compatible degree score value of the project, comprehensive
Close the first compatible degree score value and the second compatible degree score value obtains the compatible degree score value of the project.
Exemplified by having a liking for this project, illustrate the specific matching process of double problem projects.
It is divided into three in common hobby (smoking) option：
A, I have a passion for one's pipe, it is impossible to give up
B, I simply smoke once in a while, can give up, it is not addicted
C, I never smoke
Hobby tolerance (smoking) is divided into four：
A, I like other side to smoke
B, it doesn't matter for I
C, I do not like other side's smoking, but be only limitted to not like
D, I firmly can't stand other side smoking
Matched according to common hobby and hobby tolerance, this project is general big event.Contract between so aa
Right score value is 3 × 1=3, and compatible degree score value is that compatible degree score value is -1 × 1=-1 between 1 × 1=1, ac between ab, ad it
Between compatible degree score value be that -1000, ba compatible degrees score value is that 3, bb compatible degrees score value is that 1, bc compatible degrees score value is 1, bd compatible degrees
Score value is that -1, ca compatible degrees score value is that -1, cb compatible degrees score value is that 1, cc compatible degrees score value is that 3, cd compatible degrees score value is 3.ad
Between there is veto by one vote, so compatible degree score value is directly changed into -1000.Thus calculate and obtain the first compatible degree score value,
Second compatible degree score value is calculated also by identical mode to be obtained, and finally integrates the first compatible degree score value and the second compatible degree score value
The compatible degree score value of the project is obtained, specific comprehensive method can specifically not limited by the way of average value is calculated.
More than be an example, every numerical value in matched rule can be adjusted according to project.
(3) if project is numeric type project, the numerical value that the project is filled in is directed to according to user and object to be matched, by this
The matched rule of project calculate obtaining compatible degree score value.
Below exemplified by age project, illustrate the matching process of numeric type project.System is by the age voluntarily filled in by current
Time is converted to numerical value, and takes its integer, such as current time 2017 year 2 month 21 days, then extend this as on 2 28th, 1991
People is because less than 26 years old, system assert that it is 25 years old.So that male matches somebody with somebody women as an example, it is assumed that the age numerical value of male is N, specific
It is with rule：N-5 to N-1 women (including N-5 and N-1 two values) compatible degree score value is 9；N to N+1 women compatible degree
Score value is 6；N-10 to N-6 compatible degrees score value be 6 points；N+2 to N+5 women compatible degree score value is 3；Remaining age compatible degree point
It is worth for 0.Women matching male similarly, will not be repeated here.
Below exemplified by height project, illustrate the matching process of numeric type project.Be accurate to centimetre, matched rule using male as
Example a, it is assumed that male fills in height for N (CM), then N-15 to N-5 women compatible degree score value is 9, N-20 to N-16's
The women compatible degree score value that women compatible degree score value is 6, N-21 to N-25 is 3, and the women compatible degree score value less than N-25 is -3,
The women compatible degree score value that N-4 to N women compatible degree score value is 6, N+1 to N+5 is 3, the women compatible degree score value more than N+5
For -3.If 181CM male and 160CM women compatible degree score value are 3；Women compatible degree score value with 166CM is 9, with
178CM women compatible degree score value is 6, and the women compatible degree score value with 190CM is -3.Women matches male similarly, herein not
Repeat again.
More than be an example, the numerical value in matched rule can be adjusted according to project.
The present embodiment is further comprising the steps of：Obtain the pairing custom option that user pre-sets.Correspondingly, step
The S21 method that is preferable to carry out includes：The user for meeting pairing custom option is filtered out from database, the use filtered out is obtained
The personal information at family.By the standard of user oneself defining ideal personnel, the selection of personalization is on the one hand provided the user, separately
On the one hand the data volume of matching can be reduced, matching efficiency is improved.
Matching result is that the personal information based on user's typing is obtained, and personal information more meets the actual conditions of user,
The result then matched is more reasonable, therefore, in order to help user more reasonably accurate to fill in personal information, while preventing some from using
The fill data carelessly of family malice, reduces matching accuracy rate, based on any of the above-described embodiment of the method, and the present embodiment also includes examining
The authenticity of the personal information of user's typing, the credit rating of counting user, credit rating forbids checking less than the user of credit threshold
The data of other users.
Examining the authenticity method of the personal information of user's typing has a lot, can manually examine, can also be by one
Row technological means is examined automatically.
For this project of appearance, the verification mechanism that this implementation is used includes：Appearance is obtained by the photo for analyzing user
Scoring, appearance scoring is compared with the appearance in user's typing project, authenticity is examined, user is adjusted according to verification result
Credit rating.
Wherein, appearance scoring is obtained by analyzing the photo of user, specifically includes following steps：By the photo size of acquisition
Standardization；Extract the human face characteristic point in photo；Characteristic distance is calculated according to human face characteristic point；By characteristic distance with predefining
Appearance standards of grading be compared, obtain appearance scoring.
Wherein, photo size standardization is the size of the different photos provided for same user so that calculate what is obtained
Characteristic distance meets the requirement of standards of grading, prevents from judging error because photo size difference is produced.
Wherein, human face characteristic point describes human face, includes position and the profile of eyes, eyebrow, nose, face, and
The profile of whole face.
Wherein, characteristic distance includes the size of the position and face of the spacing, face of face on face, specific bag
Include but be not limited to herein below：Between long, the two intraocular spacing of eye, two eye pupil pitchs of holes, wide people's face, ose breadth, chin width, muzzle
Away from, the distance between mouth chin spacing, looks, high eye, Zhongting (distance of the place between the eyebrows to nose lower end), lower front yard is (under nose lower end to face
The distance at end), pupil to the distance of nose lower end etc..
Wherein, appearance standards of grading are obtained according to substantial amounts of experiment, and appearance standards of grading give each characteristic distance
Scoring criterion, is given a mark to each characteristic distance respectively according to scoring criterion, and the fraction for finally integrating all characteristic distances is obtained
To appearance scoring.
Wherein, extracting the method for the human face characteristic point in photo can be realized by many prior arts, such as active outward appearance
Model (Active Appearance Model, abbreviation AAM), will not be repeated here.
Everyone evaluates for appearance carries strong subjectivity, and the appearance verification mechanism that the present embodiment is provided uses section
Evaluation method, reduces the subjectivity of appearance evaluation, is favorably improved the precision of love and marriage matching.
Complete after matching recommends, user can exchange with the user matched according to the wish of oneself, date, and user can be with
The object of contacts is evaluated, and evaluation is deposited into database.
Based on the evaluation in database to user, the authenticity of the personal information of user's typing can be examined, is specifically included：
It will be matched for the evaluation of user with the keyword in project dictionary；
Keyword according to extracting determines the corresponding project of the evaluation and corresponding option；
The number of times that each option of project is evaluated is counted, the most option of number of times will be evaluated and be used as the project
Evaluation reference value；
The project of user's typing is examined according to evaluation reference value, if in evaluation reference value and the project of user's typing
The option chosen is different, then reminds user to be modified for the not true contents of a project.
Wherein, the keyword root in project dictionary is determined according to the option in project and project, including all items title,
Keyword and close word in total Options content, such as, the keyword relevant with project name can be " educational background ",
" sound ", " breeding ", " personality ", " interest ", " values ", " custom " etc., with option content can be " unmarried ", " support dote on
Thing ", " enthusiasm ", " being sparing of one's words ", " slender ", " having no manners " etc..Each keyword in project dictionary corresponds to an item
An option in mesh, some keywords one project of correspondence.
Estimator can be marked in storage by evaluating for every, when being evaluated with reference to user, need to consider the credit rating of estimator, if
The credit rating of estimator is less than threshold value, then ignores the evaluation of the estimator.
The method for examining the personal information of user's typing can also be by uploading from user during registration or use
Obtain text information in picture to be examined, such as identity card, specific steps include：
Step S41, is pre-processed to the picture that user uploads.
Wherein, pretreatment includes：Colored image is converted into the gray-scale map for only including pixel luminance information；Using gray scale
The method of pixel threshold separation is separated the background in gray-scale map with prospect, completes binary conversion treatment；At through binaryzation
Image after reason carries out rim detection, so as to realize the separation of word segment and image background.
Step S42, carries out clustering processing to the pixel in pretreated image, character area is extracted from image.
Wherein, clustering processing includes：Pixel space classification is carried out to pretreated image, N number of submanifold is divided into,
And one pixel of random selection is used as central point in each pixel clusters；Using Euclidean distance as pel spacing from meter
Calculation mode calculates each pixel in N number of pixel clusters and carried out to central point apart from size, and according to minimal distance principle respectively
Pixel cluster, obtains N number of pixel subclass, is designated as Pi(n), wherein, i=1,2 ..., N；Randomly choose two pixel subsets
Close PkAnd Pm, and the minimum distance between 2 set is calculated, then by PkIt is middle apart from PmNearest pixel is included into PmSet, and
From PkIt is middle to delete；The central point of the N number of pixel sub-set obtained after previous step is handled is recalculated, said process is repeated straight
No longer changed to each pixel sub-set；Gray average is calculated to the N number of pixel sub-set finally given, and to calculate
The gray value arrived and is carried out as the mark of each pixel sub-set using Local Clustering classification, most all pixels point at last
For poly- two class, that is, it is syncopated as character area and by background area.If necessary the character area that can also be obtained to cutting is carried out
Denoising, filters the pixel for being not belonging to word segment.
Step S43, by being recognized by OCR (Optical Character Recognition, optical character identification) software
Character area word.
Step S44, the project belonging to word identified according to the type preliminary judgement of photo, then by the word of identification with
Keyword of the project in project dictionary belonging to word is matched, and the corresponding item of word is finally determined according to matching result
Mesh, corresponding project is examined according to word.
By obtaining the text information in the picture that user uploads, whether the personal information that verification user fills in is accurate, can
Personal information is really filled in effectively supervisory user, prevents user from cheating other users with deceptive information, contributes to simultaneously
Improve the degree of accuracy of love and marriage matching.In addition, the efficiency for carrying out information extraction using image recognition technology will be examined far above artificial,
Reduce the human input of website.
The love and marriage object matching method that the present embodiment is provided can be used in computer software, friend-making love and marriage website so that
Make friends and marriage matching becomes more quick, can also be used in computer game, allow people to be done in simulation completely not
With oneself, experience what be only it is most suitable.
Based on above-mentioned love and marriage object matching method identical inventive concept, present embodiments provide a kind of love and marriage object
With device, as shown in Fig. 2 including：
Typing module, the personal information for obtaining user's typing is stored in database.
Matching module, the personal information progress for other users in the personal information and database according to user's typing
With degree analysis.
Recommending module, the result for being analyzed according to matching degree recommends the love and marriage object of matching for user.
The love and marriage object matching device that the present embodiment is provided, passes through other users in the personal information and database by user
Personal information carry out the matching analysis, according to the characteristics of everyone and demand, scientifically and rationally filter out suitable love and marriage object
Recommend user so that the both sides' compatible degree being matched reaches highest, improve the success rate of love and marriage pairing.
Preferably, typing module specifically for：User presses preset term typing personal information；By personal information by setting in advance
Fixed regular carry out project classification, project level is stored in database after including project of the utmost importance, big event and general item.
Preferably, matching module specifically for：The personal information of other users is obtained from database；By the individual of user
Data is carried out matching the compatible degree score value for obtaining each project with the personal information of the other users obtained by project；Each project
Compatible degree score value be multiplied by the corresponding weight of the project after added up, obtain the compatible degree of user and other users, wherein, often
The corresponding weight of individual project is determined according to project level.
Preferably, in addition to custom block, for obtaining the pairing custom option that user pre-sets；Matching module
In, the personal information of other users is obtained from database, including：Filtered out from database and meet pairing custom option
User, obtains the personal information of the user filtered out.
Preferably, in addition to validating module, the authenticity of the personal information for examining user's typing, the letter of counting user
Expenditure, credit rating forbids checking the data of other users less than the user of credit threshold.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, or which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover among the claim of the present invention and the scope of specification.
Claims (10)
1. a kind of love and marriage object matching method, it is characterised in that including：
Obtain the personal information deposit database of user's typing；
Matching degree analysis is carried out according to the personal information of other users in the personal information of user's typing and the database；
The result analyzed according to matching degree recommends the love and marriage object of matching for the user.
2. according to the method described in claim 1, it is characterised in that the personal information deposit data for obtaining user's typing
Storehouse, including：
User presses preset term typing personal information；
The personal information is pressed into regular carry out project classification set in advance, project level includes project of the utmost importance, significant terms
Database is stored in after mesh and general item.
3. method according to claim 2, it is characterised in that the personal information according to user's typing with it is described
The personal information of other users carries out matching degree analysis in database, including：
The personal information of other users is obtained from the database；
The personal information of the user by project match obtaining each project with the personal information of the other users obtained
Compatible degree score value；
The compatible degree score value of each project is added up after being multiplied by the corresponding weight of the project, obtains the user and other users
Compatible degree, wherein, the corresponding weight of each project is determined according to project level.
4. method according to claim 3, it is characterised in that the personal information by the user with obtain other
The personal information of user is carried out matching the compatible degree score value for obtaining each project by project, including：
If project is single problem project, the option provided according to the user and object to be matched for project and of project
Matched with rule, obtain the compatible degree score value of project；
If project is double problem projects, according to the option and object pin to be matched of the project first problem offer of user's pin
The option that project Second Problem is provided is matched with the matched rule of project, the first compatible degree point of the project is obtained
Value, what the option and object to be matched provided according to user for project Second Problem was provided for project first problem
Option is matched with the matched rule of project, obtains the second compatible degree score value of the project, comprehensive first compatible degree score value and
Second compatible degree score value obtains the compatible degree score value of the project；
If project is numeric type project, the numerical value that project is filled in is directed to according to user and object to be matched, by the matching of project
Rule calculate obtaining compatible degree score value.
5. method according to claim 3, it is characterised in that
Also include：Obtain the pairing custom option that the user pre-sets；
The personal information that other users are obtained from the database, including：Filtered out from the database and meet institute
The user of pairing custom option is stated, the personal information of the user filtered out is obtained.
6. the method according to any one of claim 1-5, it is characterised in that also provided including examining the personal of user's typing
The authenticity of material, the credit rating of counting user, credit rating forbids checking the data of other users less than the user of credit threshold.
7. a kind of love and marriage object matching device, it is characterised in that including：
Typing module, the personal information for obtaining user's typing is stored in database；
Matching module, enters for the personal information and the personal information of other users in the database according to user's typing
Row matching degree is analyzed；
Recommending module, the result for being analyzed according to matching degree recommends the love and marriage object of matching for the user.
8. device according to claim 7, it is characterised in that the typing module specifically for：
User presses preset term typing personal information；
The personal information is pressed into regular carry out project classification set in advance, project level includes project of the utmost importance, significant terms
Database is stored in after mesh and general item.
9. device according to claim 8, it is characterised in that the matching module specifically for：
The personal information of other users is obtained from the database；
The personal information of the user by project match obtaining each project with the personal information of the other users obtained
Compatible degree score value；
The compatible degree score value of each project is added up after being multiplied by the corresponding weight of the project, obtains the user and other users
Compatible degree, wherein, the corresponding weight of each project is determined according to project level.
10. device according to claim 9, it is characterised in that
Also include custom block, for obtaining the pairing custom option that the user pre-sets；
In the matching module, the personal information that other users are obtained from the database, including：From the database
In filter out the user for meeting the pairing custom option, obtain the personal information of user filtered out.
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Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107943931A (en) * | 2017-11-22 | 2018-04-20 | 上海心灵伙伴览育信息技术有限公司 | Visitor and the matching process and system of consultant |
| CN109829101A (en) * | 2018-12-24 | 2019-05-31 | 深圳市珍爱捷云信息技术有限公司 | Friend-making matching process, device, computer equipment and readable storage medium storing program for executing |
| CN109829118A (en) * | 2018-12-24 | 2019-05-31 | 深圳市珍爱捷云信息技术有限公司 | User identity code generating method, friend-making matching process, device and computer equipment |
| CN109871493A (en) * | 2018-12-24 | 2019-06-11 | 深圳市珍爱捷云信息技术有限公司 | Friend-making matching process, device, computer equipment and readable storage medium storing program for executing |
| CN110162715A (en) * | 2019-05-21 | 2019-08-23 | 秦德玉 | A kind of online anisotropic friend-making or marriage-seeking method |
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| CN110795636A (en) * | 2019-11-05 | 2020-02-14 | 南京掌缘信息科技有限公司 | Marriage and love object matching method and device |
| CN110837600A (en) * | 2019-10-12 | 2020-02-25 | 惠州市德赛西威汽车电子股份有限公司 | Intelligent marriage and love matching method based on driving data |
| CN111131003A (en) * | 2019-12-31 | 2020-05-08 | 深圳市真星科技有限公司 | Method, storage medium and terminal for accurately matching and pushing social software resources |
| CN113704634A (en) * | 2021-07-29 | 2021-11-26 | 深圳市镜玩科技有限公司 | Marriage and love pairing method, device, system and medium based on multidimensional character data |
| CN113704633A (en) * | 2021-07-29 | 2021-11-26 | 深圳市镜玩科技有限公司 | Marriage and love pairing method, device, system and medium based on multidimensional three-view data |
| CN113704632A (en) * | 2021-07-29 | 2021-11-26 | 深圳市镜玩科技有限公司 | Wedding object recommendation method, device and computer readable storage medium |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101847226A (en) * | 2009-12-17 | 2010-09-29 | 广州市盈海文化传播有限公司 | Method and system for recommending opposite sex friend in social network service SNS community |
| US20110282798A1 (en) * | 2008-12-11 | 2011-11-17 | Microsoft Corporation | Making Friend and Location Recommendations Based on Location Similarities |
| CN103678394A (en) * | 2012-09-21 | 2014-03-26 | 孟露芳 | Image matching degree based marriage dating recommendation method and system |
| CN106407405A (en) * | 2016-09-22 | 2017-02-15 | 天津神笔马良网络科技有限公司 | A social contact system based on love and marriage matching degree search |
-
2017
- 2017-03-15 CN CN201710153439.1A patent/CN107038217A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110282798A1 (en) * | 2008-12-11 | 2011-11-17 | Microsoft Corporation | Making Friend and Location Recommendations Based on Location Similarities |
| CN101847226A (en) * | 2009-12-17 | 2010-09-29 | 广州市盈海文化传播有限公司 | Method and system for recommending opposite sex friend in social network service SNS community |
| CN103678394A (en) * | 2012-09-21 | 2014-03-26 | 孟露芳 | Image matching degree based marriage dating recommendation method and system |
| CN106407405A (en) * | 2016-09-22 | 2017-02-15 | 天津神笔马良网络科技有限公司 | A social contact system based on love and marriage matching degree search |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107943931A (en) * | 2017-11-22 | 2018-04-20 | 上海心灵伙伴览育信息技术有限公司 | Visitor and the matching process and system of consultant |
| CN109829101A (en) * | 2018-12-24 | 2019-05-31 | 深圳市珍爱捷云信息技术有限公司 | Friend-making matching process, device, computer equipment and readable storage medium storing program for executing |
| CN109829118A (en) * | 2018-12-24 | 2019-05-31 | 深圳市珍爱捷云信息技术有限公司 | User identity code generating method, friend-making matching process, device and computer equipment |
| CN109871493A (en) * | 2018-12-24 | 2019-06-11 | 深圳市珍爱捷云信息技术有限公司 | Friend-making matching process, device, computer equipment and readable storage medium storing program for executing |
| CN110162715A (en) * | 2019-05-21 | 2019-08-23 | 秦德玉 | A kind of online anisotropic friend-making or marriage-seeking method |
| CN110400237A (en) * | 2019-07-25 | 2019-11-01 | 林海 | A kind of intelligent matchmaking service system for sharing chain based on mobile social networking |
| CN110837600A (en) * | 2019-10-12 | 2020-02-25 | 惠州市德赛西威汽车电子股份有限公司 | Intelligent marriage and love matching method based on driving data |
| CN110795636A (en) * | 2019-11-05 | 2020-02-14 | 南京掌缘信息科技有限公司 | Marriage and love object matching method and device |
| CN111131003A (en) * | 2019-12-31 | 2020-05-08 | 深圳市真星科技有限公司 | Method, storage medium and terminal for accurately matching and pushing social software resources |
| CN113704634A (en) * | 2021-07-29 | 2021-11-26 | 深圳市镜玩科技有限公司 | Marriage and love pairing method, device, system and medium based on multidimensional character data |
| CN113704633A (en) * | 2021-07-29 | 2021-11-26 | 深圳市镜玩科技有限公司 | Marriage and love pairing method, device, system and medium based on multidimensional three-view data |
| CN113704632A (en) * | 2021-07-29 | 2021-11-26 | 深圳市镜玩科技有限公司 | Wedding object recommendation method, device and computer readable storage medium |
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