CN103530703A - Intelligent recommending system for filling parallel applications - Google Patents
Intelligent recommending system for filling parallel applications Download PDFInfo
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- CN103530703A CN103530703A CN201310483290.5A CN201310483290A CN103530703A CN 103530703 A CN103530703 A CN 103530703A CN 201310483290 A CN201310483290 A CN 201310483290A CN 103530703 A CN103530703 A CN 103530703A
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Abstract
The invention relates to an intelligent recommending system for filling parallel applications. The system comprises an SQLServe database and a Web application, wherein at least three years of admission information of each university profession in each province, the admission information of each university profession in each province in the current year, and the latest published enrollment guide information of each university in the current year are recorded in the SQLServe database; the Web application is developed by using a recommending process; the admission information comprises admission name list, the lowest score, the highest score, the average score, the admission number and the like; the admission information comprises admission planning number, the length of schooling, the tuition fee, each specific admission profession, admission quota of the professions and the like. The system has the beneficial effects that a set of application filling reference system which is simple in operation and scientific in result is provided to students and paterfamilias by using a scientific application filling method and mining data on the basis of the historic admission data of the universities. The scientificity and the accuracy for application filling decision of the paterfamilias and the students are greatly improved, and the overall application success rate of the system in 2013 is up to over 98 percent.
Description
Technical field
The present invention relates to computer realm, relate in particular to a kind of parallel wish and make a report on intelligent recommendation system.
Background technology
The college entrance examination in existing 25 provinces, the whole nation at present, carries out parallel wish and makes a report on.Annual college entrance examination finishes, after the local Educational Examinations Authority has announced student's mark and rank, the head of a family and examinee are by within several days short times, consider how to make a report on college entrance will, be the some suitable schools of How to choose and corresponding specialty, finally in the aspiration of the Educational Examinations Authority is made a report on system, submit to and confirm.
Do not having before parallel wish makes a report on intelligent recommendation system, the head of a family and examinee's applications for university, as a rule, require a great deal of time and consult " compilation " (each colleges and universities in recent years, each specialty is in the admission rank of this province, minimum minute, best result, average mark, admission number etc.), (each colleges and universities' specialty then that this province Educational Examinations Authority gathers is at enrollment plan number inside the province in up-to-date " enrollment plan ", length of schooling, tuition fee, the information such as each concrete enrollment specialty and planned enrolment figure thereof), the data such as school admission brochure then of Ji Ge colleges and universities issue, simultaneously in conjunction with own examination mark, precedence, the situations such as hobby and colleges and universities' specialty career prospects, pick out 3-5Suo school and corresponding specialty, the candidate who makes a report on as aspiration.
The weak point of this method is:
1) head of a family and examinee need to expend a large amount of time and be used in browsing of data, are difficult at short notice grasp comprehensive information, and this has omission while just causing selecting candidate school;
2) head of a family and examinee are difficult to science, reasonably locate the first aspiration school.In location the first aspiration time, great majority adopt marks according to admission minute in former years, or two line difference methods (according to the lifting of batch control line, examination mark being carried out to corresponding plus-minus again according to admission minute in former years) are picked out the candidate school of the first aspiration.The deficiency of these two kinds of methods is the mark fluctuation meeting of the annual admission of school larger (reason comprises that teaching effect changes, and examinee's achievement distribution situation changes, and examinee makes a report on trend variation etc.), according to mark comparison, has lost reference significance.The first aspiration school inadequate science out of location, rationally thus, exists and does not file or the risk of the low throwing of high score;
3) head of a family and examinee are owing at ordinary times parallel wish being made a report on the understanding deficiency of rule and knowledge, most not clear benefit that this mode of making a report on of parallel wish is brought that how to make full use of.Such as:
A, do not make full use of 3-5 and file chance and impact desirable universities and colleges;
Between b, each aspiration school, lack rational gradient, cause aspiration above not enter shelves, but follow-up aspiration also cannot be entered shelves;
C, insist on going own interested or think popular specialty and disobey specialty aspiration, and cause filing and moved back shelves, lose the chance this batch of admission, fall to next batch, cause sorry very greatly.
Summary of the invention
The object of this invention is to provide a kind of parallel wish and make a report on intelligent recommendation system, to overcome prior art above shortcomings.
The object of the invention is to be achieved through the following technical solutions:
A kind of parallel wish is made a report on intelligent recommendation system, comprise: record at least nearly 3 Nian Ge colleges and universities specialties at the admission information of each province, each colleges and universities' specialty is at the SQL Serve database of the school admission brochure information of school admission imformation inside the province and the up-to-date announcement then of each colleges and universities then, the Web application that utilizes recommendation process to be developed to, described admission information comprises admission rank, minimum minute, best result, average mark, admission number etc., described school admission imformation comprises enrollment plan number, length of schooling, tuition fee, each concrete enrollment specialty and planned enrolment figure thereof etc., described recommendation process comprises the following steps:
1) the first aspiration location: use ranking correction factor to be further optimized on the basis of ranking localization method, ranking enrollment plan correction factor=last year enrollment plan in number/this year number (quota in same batch); The rank * ranking correction factor of corresponding the whole province of examination mark of examinee, obtain corresponding to the rank of last year, system is used this rank, in database, retrieve minute S1 that files that approached school that this rank files and this school last year last year most, to file minute the interval school at [S1-4, S1+3] last year, all as the recommendation school of the first aspiration, for these, recommend the risk of making a report on of school to divide as follows: risk: [S1+1, S1+3]; Meta: [S1-1, S1]; Insurance: [S1-4, S1-2];
2) gradient between all the other each aspirations is recommended
According to the first aspiration school of selecting, find out minute S2 that files of this school last year, will file last year minute in [S2-12, S2-5] interval school, all, as the recommendation school of the second aspiration, risk division is as follows: take a risk: [S2-6, S2-5]; Meta: [S2-9, S2-7]; Insurance: [S2-12, S2-10];
According to the second aspiration school of selecting, find out minute S3 that files of this school last year, will file last year minute in [S3-10, S2-4] interval school, all, as the recommendation school of the 3rd aspiration, risk division is as follows: take a risk: [S3-5, S3-4]; Meta: [S3-7, S3-6]; Insurance: [S3-10, S3-8];
According to the 3rd aspiration school of selecting, find out minute S4 that files of this school last year, will file last year minute in [S4-9, S4-3] interval school, all, as the recommendation school of the 4th aspiration, risk division is as follows: take a risk: [S4-4, S4-3]; Meta: [S4-6, S4-5]; Insurance: [S4-9, S4-7];
According to the 4th aspiration school of selecting, find out minute S5 that files of this school last year, filed last year minute in [S5-8, S5-2] interval school, all, as the recommendation school of the 5th aspiration, risk division is as follows: take a risk: [S5-3, S5-2]; Meta: [S5-5, S5-4]; Insurance: [S5-8, S5-6];
3) specialty is recommended
The specialty that selected school is recruited is by admission score rank;
If school's specialty number≤6, successively from high score descending sort on earth;
If school's specialty number >=7:
A, select school to belong to " insurance " type examinee: from the first specialty, by ranking of subject, subtract successively 2,2,1,1, within 1 minute, configure second and third, four, five, six specialties, if same rank has a plurality of specialties, recommend a plurality ofly simultaneously, by examinee, independently selected;
B, selection school belong to " risk " type examinee: 6 minimum specialties of collocation mark;
C, selection school belong to " meta " type examinee: from [(professional number-5) ÷ 2], round numerical digit, selecting the specialty of corresponding ranking in ranking of subject is the first specialty, from the rank of the first specialty, subtract successively 2,2,1,1,1 configuration two, three, four, five, six specialties, if same rank has a plurality of specialties, recommend a plurality ofly simultaneously, by examinee, independently selected;
After the first specialty is determined, calculate the poor of the minimum admission score of the first professional admission score and this school, if admission score poor≤6, the mark that successively decreases successively recommends two, three, the fourth class is professional; If admission score poor >=7, subtract 2,2,1,1,1 configuration successively, professional gear number=5 of configuration,, complete coupling, as:
Subtract 2 minutes coupling specialties and have (one grade, the second aspiration)
Subtract again 2 minutes coupling specialties and have (second gear, the 3rd aspiration)
Subtract again 1 minute coupling specialty and have (third gear, the 4th aspiration)
Subtract again 1 minute coupling specialty and have (fourth gear, the 5th aspiration)
Subtract again 1 minute coupling specialty and have (five grades, the 6th aspiration)
Described gear number refers to that last aspiration is to the movement of a rear aspiration, one grade of expression movement from the first aspiration to the second aspiration, and the rest may be inferred by analogy for it;
If the difference of admission score is less, cause configuring professional gear number≤4 o'clock, the recommendation specialty using the first specialty of last step as this grade, splits all the other coupling specialties as the recommendation specialty of next grade; If the coupling of last step specialty number=1, splits one grade, and after the alternative specialty order of a grade, move the recommendation specialty as next grade after it; If split coupling specialty number=1 to a grade and a grade, adjust matching principle, on the basis of a grade, subtract 1 minute configuration second gear; If configuration gear number=5, complete configuration; If configuration gear number≤4, repeat said process, until five grades all have the specialty of coupling.
Beneficial effect of the present invention is: use the aspiration of science to make a report on method, based on universities and colleges' historical admission data, carry out data mining, for examinee and the head of a family provide a set of aspiration simple to operate, result science to make a report on frame of reference, significantly promote the head of a family and candidates' aspiration and make a report on science and the accuracy of decision-making, within 2013, the whole aspiration of native system success ratio is up to more than 98%.
Embodiment
A kind of parallel wish described in the embodiment of the present invention is made a report on intelligent recommendation system, comprise: use computer server Database Systems, college entrance examination parallel wish make a report on the typing of intelligent recommendation system " compilation " data of each province (at least nearly 3 Nian Ge colleges and universities specialties are in the admission rank of each province, minimum minute, best result, average mark, admission number etc.), (each colleges and universities' specialty then that this province Educational Examinations Authority gathers is at enrollment plan number inside the province in up-to-date " enrollment plan " then, length of schooling, tuition fee, the information such as each concrete enrollment specialty and planned enrolment figure thereof), the school admission brochure information of He Ge colleges and universities up-to-date announcement then.
After data typing completes, system can be volunteered intelligent recommendation according to the algorithm providing below.
1, the first aspiration position fixing process
The present invention adopts ranking localization method to recommend the first aspiration, carries out parallel wish and makes a report on principle.
Data over several years show, each colleges and universities fluctuate larger at the mark of filing of certain province, and its fluctuation of filing minute ranking is relatively little, it is to file successively from high to low according to examinee's ranking that each province Educational Examinations Authority computing machine is filed system, therefore no matter be theoretically or each province's actual data of filing for many years, based on ranking localization method, volunteering to make a report on is a kind of more scientific method.
Native system uses ranking correction factor to be further optimized on the basis of ranking localization method, ranking enrollment plan correction factor=last year enrollment plan in number/this year number (quota in same batch).
The rank * ranking correction factor of corresponding the whole province of examination mark of head of a family examinee, obtain corresponding to the rank of last year, system is used this rank to retrieve in database and was approached the school that this rank is filed last year most, find out minute S1 that files of this school last year, filed last year minute at [S1-4, S1+3] this interval school, all as the recommendation school of the first aspiration.According to the rule of making a report on of parallel wish, the first such aspiration school belongs to the school that can impact.For these, recommend the risk of making a report on of school to divide as follows:
Risk: [S1+1, S1+3], meta: [S1-1, S1], insurance: [S1-4, S1-2];
2, the gradient calculation process between each aspiration
According to the first aspiration school of selecting, system is found out minute S2 that files of this school last year, and files last year minute in [S2-12, S2-5] this interval school, all as the recommendation school of the second aspiration.
Risk: [S2-6, S2-5], meta: [S2-9, S2-7], insurance: [S2-12, S2-10];
According to the second aspiration school of selecting, system is found out minute S3 that files of this school last year, and files last year minute in [S3-10, S2-4] this interval school, all as the 3rd recommendation school of volunteering.
Risk: [S3-5, S3-4], meta: [S3-7, S3-6], insurance: [S3-10, S3-8];
According to the 3rd aspiration school of selecting, system is found out minute S4 that files of this school last year, and files last year minute in [S4-9, S4-3] this interval school, all as the 4th recommendation school of volunteering.(if having the 4th aspiration)
Risk: [S4-4, S4-3], meta: [S4-6, S4-5], insurance: [S4-9, S4-7];
According to the 4th aspiration school of selecting, system is found out minute S5 that files of this school last year, and files last year minute in [S5-8, S5-2] this interval school, all as the 5th recommendation school of volunteering.(if having the 5th aspiration)
Risk: [S5-3, S5-2], meta: [S5-5, S5-4], insurance: [S5-8, S5-6].
3, professional recommendation process
School's specialty number≤6 o'clock, successively from high score descending sort on earth.
School's specialty number >=7 o'clock:
Select school to belong to " risk " type examinee: 6 minimum specialties of collocation mark
Select school to belong to " meta " type examinee: from [(professional number-5) ÷ 2], round position and select the first specialty, the mark that successively decreases successively configuration two, three, four, five, six specialties, have a plurality of specialties to recommend a plurality of, by examinee, are independently selected;
Specific procedure is: after the first specialty is determined, the difference of calculating this professional admission score is poor with minimum admission score, if admission score poor≤6, the mark that successively decreases successively recommends two, three, the fourth class is professional; If >=7, subtract successively 2,2,1,1,1 configuration, professional gear number=5 of configuration,, complete coupling, shape as:
Subtract 2 minutes coupling specialties and have (one grade, the second aspiration)
Subtract again 2 minutes coupling specialties and have (second gear, the 3rd aspiration)
Subtract 1 minute coupling specialty and have (third gear, the 4th aspiration)
Subtract 1 minute coupling specialty and have (fourth gear, the 5th aspiration)
Subtract 1 minute coupling specialty and have (five grades, the 6th aspiration)
The definition of gear number: last aspiration, to the movement of a rear aspiration, normally subtracts 1 minute or 2 minutes, one grade of expression movement from the first aspiration to the second aspiration, the like.Add up to six aspirations, have five gear numbers.Be similar to the gearshift of automobile gearbox.
If minute difference is large not, and causes configuring professional gear number=4, and the 5th aspiration coupling number >=2, all the other specialties outside the first specialty in the 5th aspiration, as the 6th aspiration, complete coupling;
If the 5th aspiration number=1st, sees the 4th aspiration, if the 4th aspiration coupling number >=2, all the other specialties outside the first specialty in the 4th aspiration are as the 5th aspiration, and former the 5th aspiration specialty, as the 6th aspiration, completes coupling;
If the 5th aspiration number=1st, the 4th aspiration coupling number=1st, sees the 3rd aspiration, if the 3rd aspiration coupling number >=2, all the other specialties outside the first specialty in the 3rd aspiration are as the 4th aspiration, and the 4th aspiration is as the 5th aspiration, the 5th aspiration, as the 6th aspiration, completes coupling;
If the 5th aspiration number=1, the 4th aspiration coupling number=1st, the 3rd aspiration coupling number=1st, see the second aspiration, if the second aspiration coupling number >=2, all the other specialties outside the first specialty in the second aspiration are as the 3rd aspiration, the 3rd aspiration is as the 4th aspiration, the 4th aspiration is as the 5th aspiration, and the 5th aspiration, as the 6th aspiration, completes coupling;
If the second aspiration coupling number=1, so, adjusts matching principle, on one grade of basis, subtract 1 minute configuration second gear; If configuration gear number=5, complete configuration; If configuration gear number=4, repeat said process.If configure professional gear number=4, and the 5th aspiration coupling number >=2, all the other specialties outside the first specialty in the 5th aspiration, as the 6th aspiration, complete coupling;
If the 5th aspiration number=1st, sees the 4th aspiration, if the 4th aspiration coupling number >=2, all the other specialties outside the first specialty in the 4th aspiration are as the 5th aspiration, and former the 5th aspiration specialty, as the 6th aspiration, completes coupling;
If the 5th aspiration number=1st, the 4th aspiration coupling number=1st, sees the 3rd aspiration, if the 3rd aspiration coupling number >=2, all the other specialties outside the first specialty in the 3rd aspiration are as the 4th aspiration, and the 4th aspiration is as the 5th aspiration, the 5th aspiration, as the 6th aspiration, completes coupling;
If the 5th aspiration number=1, the 4th aspiration coupling number=1st, the 3rd aspiration coupling number=1st, see the second aspiration, if the second aspiration coupling number >=2, all the other specialties outside the first specialty in the second aspiration are as the 3rd aspiration, the 3rd aspiration is as the 4th aspiration, the 4th aspiration is as the 5th aspiration, and the 5th aspiration, as the 6th aspiration, completes coupling; If the second aspiration coupling number=1, so, adjusts matching principle, on the first aspiration basis, subtract first grade of configuration in 1 minute; If configuration gear number=5, complete configuration; If configuration gear number=4, (if configure professional gear number=4, and the 5th aspiration is mated number >=2, and all the other specialties outside the first specialty in the 5th aspiration, as the 6th aspiration, complete coupling to repeat said process;
If the 5th aspiration number=1st, sees the 4th aspiration, if the 4th aspiration coupling number >=2, all the other specialties outside the first specialty in the 4th aspiration are as the 5th aspiration, and former the 5th aspiration specialty, as the 6th aspiration, completes coupling;
If the 5th aspiration number=1st, the 4th aspiration coupling number=1st, sees the 3rd aspiration, if the 3rd aspiration coupling number >=2, all the other specialties outside the first specialty in the 3rd aspiration are as the 4th aspiration, and the 4th aspiration is as the 5th aspiration, the 5th aspiration, as the 6th aspiration, completes coupling;
If the 5th aspiration number=1, the 4th aspiration coupling number=1st, the 3rd aspiration coupling number=1st, see the second aspiration, if the second aspiration coupling number >=2, all the other specialties outside the first specialty in the second aspiration are as the 3rd aspiration, the 3rd aspiration is as the 4th aspiration, the 4th aspiration is as the 5th aspiration, and the 5th aspiration, as the 6th aspiration, completes coupling; If the second aspiration coupling number=1, so, sees the first aspiration number, if the first aspiration coupling number >=2, all the other specialties outside the first specialty in the first aspiration are as the second aspiration, and former the second aspiration becomes the 3rd aspiration ..., complete coupling.
If configure professional gear number=3, change matched rule, on one grade of basis, subtract 1 minute configuration second gear, if configuration gear number=4, (difference is, adjusts one grade and subtracts minute regular this step and will not exist to repeat said process, directly to adjusting the first aspiration, subtract minute), until mate end.If configuration gear number is still 3, further change matched rule, on the first aspiration basis, subtract first grade of configuration in 1 minute, if configuration gear number=4, (difference is, adjusts one grade and subtracts minute and first volunteer to subtract and minute do not exist to repeat said process, direct first grade of specialty aspiration number, using other specialties of the first aspiration successively as two, three, fourth gear etc.) if configuration gear number is still 3: if the 4th aspiration number >=3 using latter two aspiration as the 5th aspiration, the 6th aspiration, complete coupling.If the 4th aspiration number=2, using second aspiration as the 6th aspiration, using the first aspiration as the 5th aspiration, see the 3rd aspiration simultaneously, if the 3rd aspiration number >=2, other aspirations outside the first specialty in the 3rd aspiration, as the 4th aspiration, complete coupling; If the 3rd aspiration number=1st, continues to see the second aspiration, the second aspiration number >=2, other aspirations outside second aspiration the first specialty are as the 3rd aspiration
If configure professional gear number=2, change matched rule, on one grade of basis, subtract 1 minute configuration second gear, if configuration gear number=4, (difference is, adjusts one grade and subtracts minute regular this step and will not exist to repeat said process, directly to adjusting the first aspiration, subtract minute), until mate end.If configuration gear number is still 3, further change matched rule, on the first aspiration basis, subtract first grade of configuration in 1 minute, if configuration gear number=4, (difference is, adjusts one grade and subtracts minute and first volunteer to subtract and minute do not exist to repeat said process, directly using other specialties of the first aspiration successively as two, three, fourth gear etc.) if configuration gear number is still 3, if the 4th aspiration number >=3, volunteer latter two aspiration as the 5th aspiration, the 6th, complete coupling.If the 4th aspiration number=2, as the 6th aspiration, volunteer using the first specialty second specialty in the 4th aspiration as the 5th, see the 3rd aspiration simultaneously, if the 3rd aspiration number >=2, other aspirations outside the 3rd aspiration the first specialty, as the 4th aspiration, complete coupling; If the 3rd aspiration number=1st, continues to see the second aspiration, if
Select school to belong to " insurance " type examinee: from the first specialty, subtract successively 2,2,1,1, within 1 minute, configure second and third, four, five, six specialties, have a plurality of specialties to recommend a plurality of, by examinee, independently selected.
During concrete enforcement:
1) data acquisition typing
The personnel that arrange work of company are scanned " compilation " data (at least nearly 3 Nian Ge colleges and universities specialties are in admission rank of each province, minimum minute, best result, average mark, admission number etc.) of each province by professional equipment, (each colleges and universities' specialty then that this province Educational Examinations Authority gathers is in enrollment plan number, length of schooling, tuition fee inside the province in up-to-date " enrollment plan " then, the information such as each concrete enrollment specialty and planned enrolment figure thereof) the school admission brochure information of ，He Ge colleges and universities up-to-date announcement then.By software for discerning characters, these information are converted to the Word message of format, then have the unified SQL of importing of technician Server Database Systems;
2) system development
Company arranges software developer, in conjunction with database data and intelligent recommendation algorithm, the process development of recommendation is become to Web application (website of conventionally saying), is deployed on IIS server, and Internet user in all parts of the country can have access to;
3) head of a family examinee uses system
In each province, college entrance examination finishes, after examination mark and rank are announced, head of a family examinee is by computer browser login system, insert the corresponding rank of examination mark and the whole province of oneself, system software is by computing, will the some institutes first of intelligent recommendation volunteer candidate school, user selects Yi Suo school as the first aspiration, system is recommended the specialty of this school again, with the second aspiration candidate school of some institutes, user continues to select Yi Suo school as the second aspiration ... according to this process until the school on aspiration table (school's aspiration quantity is at 3-5) and specialty are all filled up (specialty aspiration quantity is individual at 5-6), final system will carry out risk assessment to this complete simulation aspiration table, for the head of a family and student's reference.
The present invention is not limited to above-mentioned preferred forms; anyone can draw other various forms of products under enlightenment of the present invention; no matter but do any variation in its shape or structure; every have identical with a application or akin technical scheme, within all dropping on protection scope of the present invention.
Claims (9)
1. parallel wish is made a report on an intelligent recommendation system, it is characterized in that, it comprises:
SQL Serve database, it records at least nearly 3 Nian Ge colleges and universities specialties at the admission information of each province, each colleges and universities' specialty is in school admission imformation inside the province and the school admission brochure information of each colleges and universities up-to-date announcement then then, described admission information comprises admission rank, minimum minute, best result, average mark, admission number, and described school admission imformation comprises enrollment plan number, length of schooling, tuition fee, each specifically recruit student specialty and planned enrolment figure thereof;
The Web application that utilizes recommendation process to be developed to, described recommendation process comprises the following steps:
1) the first aspiration location: use ranking correction factor to be further optimized on the basis of ranking localization method: ranking enrollment plan correction factor=last year enrollment plan in number/this year number; The rank * ranking correction factor of corresponding the whole province of examination mark of examinee, obtain corresponding to the rank of last year, system is used this rank, in database, retrieve minute S1 that files that approached school that this rank files and this school last year last year most, to file minute the interval school at [S1-4, S1+3] last year, all as the recommendation school of the first aspiration, for these, recommend the risk of making a report on of school to divide as follows: risk: [S1+1, S1+3]; Meta: [S1-1, S1]; Insurance: [S1-4, S1-2];
2) gradient between all the other each aspirations is recommended:
According to the first aspiration school of selecting, find out minute S2 that files of this school last year, will file last year minute in [S2-12, S2-5] interval school, all, as the recommendation school of the second aspiration, risk division is as follows: take a risk: [S2-6, S2-5]; Meta: [S2-9, S2-7]; Insurance: [S2-12, S2-10];
According to the second aspiration school of selecting, find out minute S3 that files of this school last year, will file last year minute in [S3-10, S2-4] interval school, all, as the recommendation school of the 3rd aspiration, risk division is as follows: take a risk: [S3-5, S3-4]; Meta: [S3-7, S3-6]; Insurance: [S3-10, S3-8];
According to the 3rd aspiration school of selecting, find out minute S4 that files of this school last year, will file last year minute in [S4-9, S4-3] interval school, all, as the recommendation school of the 4th aspiration, risk division is as follows: take a risk: [S4-4, S4-3]; Meta: [S4-6, S4-5]; Insurance: [S4-9, S4-7];
According to the 4th aspiration school of selecting, find out minute S5 that files of this school last year, filed last year minute in [S5-8, S5-2] interval school, all, as the recommendation school of the 5th aspiration, risk division is as follows: take a risk: [S5-3, S5-2]; Meta: [S5-5, S5-4]; Insurance: [S5-8, S5-6];
3) specialty is recommended: the specialty that selected school is recruited is by admission score rank.
2. parallel wish according to claim 1 is made a report on intelligent recommendation system, it is characterized in that: if school's specialty number≤6, successively from high score descending sort on earth.
3. parallel wish according to claim 1 is made a report on intelligent recommendation system, it is characterized in that: if school's specialty number >=7:
A, select school to belong to " insurance " type examinee: from the first specialty, by ranking of subject, subtract successively 2,2,1,1, within 1 minute, configure second and third, four, five, six specialties, if same rank has a plurality of specialties, recommend a plurality ofly simultaneously, by examinee, independently selected;
B, selection school belong to " risk " type examinee: 6 minimum specialties of collocation mark;
C, selection school belong to " meta " type examinee: from [(professional number-5) ÷ 2], round numerical digit, selecting the specialty of corresponding ranking in ranking of subject is the first specialty, from the rank of the first specialty, subtract successively 2,2,1,1,1 configuration two, three, four, five, six specialties, if same rank has a plurality of specialties, recommend a plurality ofly simultaneously, by examinee, independently selected.
4. parallel wish according to claim 3 is made a report on intelligent recommendation system, it is characterized in that: after the first specialty is determined, calculate the poor of the minimum admission score of the first professional admission score and this school, if admission score poor≤6, the mark that successively decreases successively recommends two, three, fourth class specialty; If admission score poor >=7, subtract 2,2,1,1,1 configuration successively, professional gear number=5 of configuration,, complete coupling.
5. parallel wish according to claim 3 is made a report on intelligent recommendation system, it is characterized in that: if the difference of admission score is less, cause configuring professional gear number≤4 o'clock, the recommendation specialty using the first specialty of last step as this grade, splits all the other coupling specialties as the recommendation specialty of next grade.
6. parallel wish according to claim 5 is made a report on intelligent recommendation system, it is characterized in that: if the coupling of last step specialty number=1 splits one grade, and after the alternative specialty order of a grade, move the recommendation specialty as next grade after it.
7. parallel wish according to claim 6 is made a report on intelligent recommendation system, it is characterized in that: if split coupling specialty number=1 to a grade and a grade, adjust matching principle, subtract 1 minute configuration second gear on the basis of a grade.
8. parallel wish according to claim 7 is made a report on intelligent recommendation system, it is characterized in that: if configuration gear number=5 complete configuration.
9. parallel wish according to claim 8 is made a report on intelligent recommendation system, it is characterized in that: if said process is repeated in configuration gear number≤4, until five grades all have the specialty of coupling.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104239499A (en) * | 2014-09-10 | 2014-12-24 | 广州砺锋信息科技有限公司 | Method and device for college entrance will intelligent recommendation based on big data |
| CN104392316A (en) * | 2014-11-21 | 2015-03-04 | 浪潮电子信息产业股份有限公司 | College entrance examination voluntary reporting decision support system based on cloud computing |
| CN104751304A (en) * | 2015-04-28 | 2015-07-01 | 河南理工大学 | Specialty structural adjustment early warning system and early warning method for higher education |
| CN104766165A (en) * | 2015-03-26 | 2015-07-08 | 武汉颂大教育科技股份有限公司 | Universal file throwing and admitting method and system |
| CN106961458A (en) * | 2016-01-08 | 2017-07-18 | 广州宏途教育网络科技有限公司 | A kind of dream university method for preserving user's selection |
| CN107193958A (en) * | 2017-05-24 | 2017-09-22 | 上海赢帆信息技术有限公司 | One kind is used to orientation of student and colleges and universities is presented（Special interest group）With the graphic technique of professional match condition |
| CN107358553A (en) * | 2017-06-06 | 2017-11-17 | 上海赢帆信息技术有限公司 | The diagnostic method that a kind of college entrance examination parallel wish is made a report on |
| CN108629454A (en) * | 2018-05-04 | 2018-10-09 | 上饶市普适科技有限公司 | The method for filing line with two or three recipe prediction colleges and universities |
| CN108921750A (en) * | 2018-07-30 | 2018-11-30 | 张仁平 | A kind of college entrance will makes a report on auxiliary system |
| CN109598655A (en) * | 2018-11-15 | 2019-04-09 | 福建大道之行教育科技有限公司 | A kind of college entrance will accurate measurement method and system based on big data and artificial intelligence |
| CN110633414A (en) * | 2019-09-02 | 2019-12-31 | 山东耘智愿教育科技集团有限公司 | Big data based intelligent planning system for volunteering and filling |
| CN110674185A (en) * | 2019-09-09 | 2020-01-10 | 山东耘智愿教育科技集团有限公司 | College entrance examination voluntary intelligent recommendation system |
| CN111476687A (en) * | 2019-09-06 | 2020-07-31 | 山东耘智愿教育科技集团有限公司 | College entrance examination selection evaluation system |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104239499A (en) * | 2014-09-10 | 2014-12-24 | 广州砺锋信息科技有限公司 | Method and device for college entrance will intelligent recommendation based on big data |
| CN104239499B (en) * | 2014-09-10 | 2018-01-02 | 广州砺锋信息科技有限公司 | A kind of method and device of the college entrance will intelligent recommendation based on big data |
| CN104392316A (en) * | 2014-11-21 | 2015-03-04 | 浪潮电子信息产业股份有限公司 | College entrance examination voluntary reporting decision support system based on cloud computing |
| CN104766165A (en) * | 2015-03-26 | 2015-07-08 | 武汉颂大教育科技股份有限公司 | Universal file throwing and admitting method and system |
| CN104751304A (en) * | 2015-04-28 | 2015-07-01 | 河南理工大学 | Specialty structural adjustment early warning system and early warning method for higher education |
| CN106961458A (en) * | 2016-01-08 | 2017-07-18 | 广州宏途教育网络科技有限公司 | A kind of dream university method for preserving user's selection |
| CN107193958B (en) * | 2017-05-24 | 2020-12-18 | 上海赢帆信息技术有限公司 | Graphic method for presenting student positioning and college (professional group) and professional matching condition |
| CN107193958A (en) * | 2017-05-24 | 2017-09-22 | 上海赢帆信息技术有限公司 | One kind is used to orientation of student and colleges and universities is presented（Special interest group）With the graphic technique of professional match condition |
| CN107358553A (en) * | 2017-06-06 | 2017-11-17 | 上海赢帆信息技术有限公司 | The diagnostic method that a kind of college entrance examination parallel wish is made a report on |
| CN108629454A (en) * | 2018-05-04 | 2018-10-09 | 上饶市普适科技有限公司 | The method for filing line with two or three recipe prediction colleges and universities |
| CN108921750A (en) * | 2018-07-30 | 2018-11-30 | 张仁平 | A kind of college entrance will makes a report on auxiliary system |
| CN109598655A (en) * | 2018-11-15 | 2019-04-09 | 福建大道之行教育科技有限公司 | A kind of college entrance will accurate measurement method and system based on big data and artificial intelligence |
| CN110633414A (en) * | 2019-09-02 | 2019-12-31 | 山东耘智愿教育科技集团有限公司 | Big data based intelligent planning system for volunteering and filling |
| CN111476687A (en) * | 2019-09-06 | 2020-07-31 | 山东耘智愿教育科技集团有限公司 | College entrance examination selection evaluation system |
| CN110674185A (en) * | 2019-09-09 | 2020-01-10 | 山东耘智愿教育科技集团有限公司 | College entrance examination voluntary intelligent recommendation system |
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