CN115660663A - Intelligent paying reminding method and system for study reservation - Google Patents
Intelligent paying reminding method and system for study reservation Download PDFInfo
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- CN115660663A CN115660663A CN202211701507.0A CN202211701507A CN115660663A CN 115660663 A CN115660663 A CN 115660663A CN 202211701507 A CN202211701507 A CN 202211701507A CN 115660663 A CN115660663 A CN 115660663A
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Abstract
The application provides a study-leaving intelligent payment reminding method and system, which are applied to a server of a payment system, and the method comprises the following steps: acquiring all student information in a certain area, wherein the all student information comprises old student information, and the old student information comprises historical study information and historical payment information; extracting features from the historical information of leaving students, clustering based on the extracted features to obtain a clustering result, and determining a group of leaving students for paying fees according to the clustering result; acquiring a payment time period which is published in the year of a specialty to which a student belongs based on historical study reservation information; aggregating the historical payment time information and the published payment time period of the specialty of the student to obtain the complete payment time period of the specialty of the student; and according to the complete payment time period, carrying out payment reminding on different student-reserved payment groups at corresponding time periods. By adopting the method, the problem that the student paying experience is not good is solved.
Description
Technical Field
The application relates to the technical field of intelligent information, in particular to a study-leaving intelligent payment reminding method and system.
Background
With the rapid development of the economy, more and more parents will go abroad to study as the first educational choice for their children.
At present, when paying for a student, the paying conditions of each specialty in different colleges of each school are different, and the student needs to obtain the paying conditions of the own specialty through an official network or an official mail of the school. However, the official website of the school checks the payment time, so that the official website may not be updated timely or detailed payment time is not explained, and students cannot completely obtain the payment time period; and official mails can not specially remind professional payment conditions, but are placed in daily mails of each week/month, so that the official mails are not striking. Therefore, the student is not well paid.
In view of the above-mentioned related technologies, the inventor believes that there is a need for an intelligent paying reminding method and system for students to solve the problem of poor paying experience.
Disclosure of Invention
In order to solve the problem that the student-reserved payment experience is not good, the application provides an intelligent student-reserved payment reminding method and system.
In a first aspect of the present application, a study-leaving intelligent payment reminding method is provided, which is applied to a server of a payment system, and the method includes: acquiring all student information in a certain area, wherein all student information comprises all senior citizen information, and the senior citizen information comprises historical student information and historical payment information; the historical payment information comprises historical payment time information and historical payment amount information; extracting features from the historical information of leaving students, clustering based on the extracted features to obtain a clustering result, and determining a group of leaving students for paying fees according to the clustering result; acquiring a payment time period which is published in the current year and belongs to a specialty of a student based on historical study reservation information; aggregating the historical payment time information and the published payment time period of the specialty of the student to obtain the complete payment time period of the specialty of the student; and according to the complete payment time period and the historical payment amount information, performing corresponding time period payment reminding on different student payment groups.
By adopting the technical scheme, the historical study reservation information and the historical payment information can be accurately acquired, and the extracted features are clustered, so that the study reservation can be divided into a plurality of payment groups, and the payment reminding is facilitated; the historical payment time of different school specialties and the payment time periods of all the school specialties inquired by an official party are combined to obtain the complete payment time periods of all the school specialties and remind students to stay, so that the students can conveniently select time periods to pay according to the complete payment time periods, and the payment experience of the students is improved.
Optionally, after obtaining all student information in a certain area, the method further includes: acquiring a standard payment amount published in the year of a specialty to which the student belongs based on the historical study reservation information; comparing the historical payment information with the payment time period published in the current year of the specialty to which the student belongs, wherein the historical payment information comprises a plurality of historical payment time cases and a plurality of historical payment amount cases, and if the historical payment time cases exceeding the payment time period published in the current year of the specialty to which the student belongs exist, judging whether the specialty to which the student belongs allows delayed payment; if the retention student belongs to the specialty and allows delayed payment, comparing the historical payment amount information with the standard payment amount published in the current year of the specialty of the retention student; if the historical payment amount is larger than the standard payment amount published in the current year of the specialty to which the student belongs, determining that the delayed payment of the specialty to which the student belongs has a late payment fee.
By adopting the technical scheme, the payment amount of each school specialty can be obtained, whether each school specialty can delay payment is determined, whether delay payment has a late payment or not is determined, the left student is reminded of selecting whether delay payment is required or not, and the payment experience of the left student is improved.
Optionally, the extracting features from the historical information includes: and extracting the characteristics of the country of the school, the area of the school, the name of the college and the name of the professional of the college from the historical information of the college.
Optionally, after obtaining all student information in a certain area, the method includes: analyzing the payment habits of students according to the plurality of historical payment time cases and the plurality of historical payment amount cases; the payment habits comprise one-time payment in advance, one-time payment within the payment time period disclosed in the current year of the specialty belonging to the student and staged payment within the payment time period disclosed in the current year of the specialty belonging to the student.
Optionally, after analyzing the payment habits of the student, the method includes: when the payment habit is the one-time payment in advance, based on the student-reserved payment group and the complete payment time period of the specialty to which the student belongs, carrying out payment reminding on the student at a first preset time node before the complete payment time period; when the payment habit is one-time payment within the payment time period published in the current year of the specialty of the student, the student is paid at a second preset time point within the payment time of the specialty of the student based on the student payment group and the payment time period published in the current year of the specialty of the student; when the payment habit is to pay in stages within the published payment time period of the current year of the specialty of the student, based on the student-reserved payment group and the published payment time period of the current year of the specialty of the student, wherein the published payment time period of the current year of the specialty of the student is divided into a first payment time period and a second payment time period, a second preset time node before the first payment time period reminds the student of paying, and a third preset time node before the second payment time period reminds the student of paying.
By adopting the technical scheme, the payment habit of each student can be obtained according to the historical payment information of the student, corresponding payment reminding is carried out according to the payment habit of each student, the personalized payment reminding of the student is provided, and the payment experience of the student is improved.
Optionally, after obtaining all student information in a certain area, the method further includes: when the students are new, acquiring new study reservation information, and checking whether corresponding student reservation payment groups exist according to the new study reservation information; if yes, recommending the payment habit to the new student based on the student-reserved payment group and the published payment time period of the current year of the specialty to which the student belongs, and then carrying out corresponding payment reminding according to the selected payment habit of the new student; and if not, acquiring the published payment time period of the current year of the specialty of the student based on the new study reservation information, and carrying out related payment reminding on the new study at a fourth preset time node before the published payment time period of the current year of the specialty of the student.
By adopting the technical scheme, the system can remind the old students of paying according to the historical paying habits, can provide various new paying habits for the old students to select, and can remind the old students of paying according to the selection.
Optionally, after carrying out corresponding period of time payment warning to different student who keeps on charge the colony, include: determining the student who is not paid according to the payment record; and after a fixed time, carrying out secondary payment reminding on the unpaid students.
By adopting the technical scheme, students who do not pay can be efficiently screened out, and the students who do not pay are reminded once more, so that the probability that the students forget to pay is effectively reduced.
In a second aspect of the present application, there is provided a system for intelligent payment reminding for leaving school, the system comprising: the student information acquisition module is used for acquiring historical student information and historical payment information of the old; the clustering module is used for extracting the historical study reserving information characteristics of the students and clustering the students with different characteristics; the system comprises a charge information acquisition module, a charge information processing module and a charge information processing module, wherein the charge information acquisition module is used for acquiring a charge time period which is published in the year of a specialty to which a student belongs; and the payment reminding module is used for carrying out payment reminding at corresponding time intervals on different student payment groups.
In a third aspect of the present application, there is provided an electronic device comprising a processor, a memory for storing instructions, a user interface and a network interface for communicating with other devices, and the processor being configured to execute the instructions stored in the memory to cause the electronic device to perform the method according to any of the first aspect of the present application.
In a fourth aspect of the present application, there is provided a computer readable storage medium storing a computer program that can be loaded by a processor and executed to perform the method according to any of the first aspects of the present application.
In summary, the present application includes at least one of the following beneficial technical effects:
1. the historical study reservation information and the historical payment information of the students can be accurately obtained, the extracted features are clustered, the students can be divided into a plurality of payment groups, and payment reminding is facilitated; the historical payment time of different school specialties and the payment time periods of all school specialties inquired by an official party are combined to obtain the complete payment time periods of all school specialties and remind students to pay, so that the students can conveniently select time periods to pay according to the complete payment time periods, and the payment experience of the students is improved.
2. The payment habit of each student can be obtained according to the historical payment information of the student, corresponding payment reminding is carried out according to the payment habit of each student, the personalized payment reminding of the student is provided, and the payment experience of the student is improved.
Drawings
Fig. 1 is a schematic flow chart of an intelligent payment reminding method for study reservation according to an embodiment of the present application;
fig. 2 is a first flowchart of an intelligent payment reminding method for leaving behind study according to an embodiment of the present application;
fig. 3 is a schematic flow chart diagram of a second method for reminding a leaving-to-study intelligent payment in the embodiment of the present application;
fig. 4 is a schematic flow chart diagram three of an intelligent payment reminding method for leaving behind school according to an embodiment of the present application;
fig. 5 is a schematic flow chart diagram of a second method for reminding a reservation of intelligent payment in the embodiment of the application;
fig. 6 is a schematic flow chart diagram of a study-leaving intelligent payment reminding method according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an intelligent attention-paying reminder for leaving school according to an embodiment of the present application;
fig. 8 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Description of reference numerals: 10. a student information acquisition module; 11. a clustering module; 12. a charge information acquisition module; 13. a payment reminding module; 14. a comparison analysis module; 15. a payment information acquisition module; 800. an electronic device; 801. a processor; 802. a communication bus; 803. a user interface; 804. a network interface; 805. a memory.
Detailed Description
In order to make the technical solutions in the present specification better understood, the technical solutions in the embodiments of the present specification will be clearly and completely described below with reference to the drawings in the embodiments of the present specification, and it is obvious that the described embodiments are only some embodiments of the present application, but not all embodiments. In the description of the embodiments herein, the terms "for example" or "for purposes of illustration, exemplification or description, and any embodiment or design described as" for example "in the embodiments herein is not to be construed as preferred or advantageous over other embodiments or designs. In addition, the term "plurality" means two or more unless otherwise specified. Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or to implicitly indicate the indicated technical feature. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature.
In order to solve the problem that the student-left payment experience is not good, the method is applied to a server of a payment system, and fig. 1 shows a flow diagram of an intelligent student-left payment reminding method according to an embodiment of the present application, and the method includes the following steps S101 to S105:
step S101: acquiring all student information in a certain area, wherein the all student information comprises all senior citizen information, and the senior citizen information comprises historical student information and historical payment information; the historical payment information comprises historical payment time information and historical payment amount information.
In one possible implementation, the historical study reservation information includes school information, college information, professional information, and grade information. The historical payment time information is the time information of successful payment of all the old students of the school every year; the historical payment amount information is the final payment amount information of all the old students in the school every year.
Specifically, in the technical scheme, the group of the servers of the payment system is students left around the world. When the retention student is the old student, the server acquires the school name, the college name, the professional name and the grade of reading for the old student, for example, the school of the student A is University of Toronto, the college is Art and Science Faculty, the specialty is Math and Stats, and the grade is four years old; the server then queries student A for past annual payments through the system. For example, the successful payment time of the student A in the last year is 9 months and 1 day, and the final payment amount is 10 ten thousand yuan. The server in turn obtains student information for other students as described above.
It should be noted that, in a foreign university, the payment time and the payment amount of each specialty in a school may be different.
Step S102: and extracting features from the historical information of leaving students, clustering based on the extracted features to obtain a clustering result, and determining a group of leaving students for paying according to the clustering result.
In a possible implementation manner, after acquiring all the historical study reservation information of the old students, the server extracts features from the historical study reservation information, wherein the extracted features comprise the country of the school, the region of the school, the name of the college and the name of the specialty. The server firstly extracts features from historical information of leaving students, then clusters the extracted features to obtain a plurality of different clustering results, and then takes the clustering results as the basis for judging groups of leaving students to pay fees.
In particular, clustering refers to the process of dividing a set of physical or abstract objects into classes composed of similar objects, referred to as clustering. The cluster generated by clustering is a collection of a set of data objects that are similar to objects in the same cluster and distinct from objects in other clusters. "the cluster of things and the group of people" have a great deal of classification problems in natural science and social science, so the cluster analysis is also called group analysis, which is a statistical analysis method for researching classification problems. In the technical scheme, the student paying group obtained through clustering can be students in the same country, the same school and the same specialty.
Step S103: and acquiring the published payment time period of the current year of the specialty of the student based on the historical study reservation information.
In a possible implementation mode, the server acquires the payment time period of the specialty of the student of the year on the official website of the specialty of the student or the official website mail of the student according to the historical information.
Specifically, in the technical scheme, the server acquires the payment time information of the specialty to which the students in the year belong through the official network of the school specialty of the students in the year. The obtained professional payment time information may include two time periods, the first time period is a basic charge stage which needs to be paid, the second time period is a stage which needs to be paid for other charges, and if the students are not paying the basic charge which needs to be paid in the first time period, the students can not normally go to class. For example, taking student a as an example, student a needs to pay the basic fee in the time period from 9 month 1 to 10 month 1, and pay other fees in the time period from 10 month 2 to 11 month 30. However, the profession of student B is completely different from student a, and the payment time information of the profession may be different.
Step S104: and aggregating the historical payment time information and the published payment time period of the profession to which the students belong in the current year to obtain the complete payment time period of the profession to which the students belong.
In a possible implementation manner, the server combines the acquired historical payment time information with the payment time period disclosed in the current year of the specialty to which the student belongs to obtain the complete payment time period of the specialty.
Specifically, in the technical scheme, the server selects a time node of an event which is successfully paid at the earliest from the acquired historical payment time information of a student payment group, selects a time node of an event which is successfully paid at the latest, and merges the time node with a payment time period obtained from an official network. For example, the time node of the earliest successful payment by the student B is No. 8 month 1, and the time node of the latest successful payment by the student C is No. 12 month 10. The payment time period obtained by the official website is from 9 months 1 day to 11 months 30 days, and the obtained complete payment time period of the professional is from 8 months No. 1 to 12 months No. 10.
It should be noted that the professional complete payment time period is updated every year according to the payment success time node of the current year, and if an earlier payment success time node appears in the payment of each subsequent school year, the corresponding complete payment time period is matched with the earlier payment success time node.
Step S105: and carrying out corresponding time period payment reminding on different student-reserved payment groups according to the complete payment time period and the historical payment amount information.
In a possible implementation manner, the server will perform payment reminding for different student-reserved groups according to the complete payment time periods of the different student-reserved payment groups.
Referring to fig. 2, a first flow chart of the intelligent paying-attention reminding method for leaving behind school according to the embodiment of the present application is shown, including the following steps S111-S114:
step S111: and acquiring the published standard payment amount of the specialty of the student in the year based on the historical study reservation information.
In a possible implementation mode, the server acquires the payment amount of the year on the official website of the professional to which the corresponding student belongs according to the historical information.
Specifically, in the technical scheme, the server acquires the payment amount of the current-year professional through an official website or an official mail of the school professional of the student. For example, the acquired professional payment amount may include a plurality of fees, such as a base school fee, a dormitory fee, a food charge, a pre-course fee, and the like.
Note that the payment amounts are different among different major professions. Some university professions are fixed costs and some university professions are calculating costs according to the score selected by the student.
Step S112: and comparing the historical payment information of the students with the published payment time period of the current year of the specialty of the students, wherein the historical payment information of the students comprises a plurality of historical payment time cases and a plurality of historical payment amount cases, and if the historical payment time cases exceeding the published payment time period of the current year of the specialty of the students exist, judging whether the specialty of the students allows delayed payment.
In a possible implementation mode, after the server acquires a plurality of pieces of historical payment time information, comparing a historical payment time case of a student-reserved payment group with an official network payment time period of the student-reserved payment group, and if the historical payment time case exceeds the payment time period disclosed in the year of a professional to which the student belongs, judging whether the professional to which the student belongs allows delayed payment.
Specifically, in the technical solution, the payment time period beyond the period of the specialty of the student may be earlier than the start time node and later than the end time node. If the historical payment time case of the ending time node which is later than the official network payment time period exists, the professional permission delay payment of the payment group can be judged. For example, if the time node of successful payment for student C is 12/10, and the payment time period obtained by the official website is 9/1-11/30, it can be determined that the professional of student C allows delayed payment.
Step S113: and if the profession to which the student belongs allows delayed payment, comparing the historical payment amount information with the standard payment amount published in the year of the profession to which the student belongs.
In a possible implementation manner, after obtaining a plurality of historical payment amount information, the server compares the historical payment amount information of a student-reserved payment group with a standard payment amount of an official website of the student-reserved payment group.
Step S114: if the historical payment amount is larger than the standard payment amount published in the current year of the profession to which the student belongs, determining that the delayed payment of the profession of the student has a late payment amount.
In a possible implementation manner, after comparing the obtained historical payment amount information of a student-reserved payment group with the standard payment amount of the professional official website of the student-reserved payment group, if the payment amount of the student-reserved payment group is larger than the standard payment amount of the official website, it can be determined that the professional deferred payment of the payment group has a late payment amount.
Specifically, in the technical solution, for example, the student B and the student C are the same student-reserved payment group, where the student B pays in a specified time period, the payment amount is 10 ten thousand yuan, the student C pays in a deferred manner, the payment amount is 12 ten thousand yuan, and the standard payment amount of the profession to which the student-reserved payment group belongs is 10 ten thousand yuan, so that it can be determined that there is a late payment due to the profession to which the student-reserved payment group belongs.
Referring to fig. 3, a flowchart illustrating a second flow chart of the intelligent paying-attention reminding method for study reservation according to the embodiment of the present application is shown, including the following step S121:
step S121: and analyzing the payment habits of the students according to the plurality of historical payment time cases and the plurality of historical payment amount cases, wherein the payment habits comprise one-time payment in advance, one-time payment within the payment time period disclosed in the current year of the specialty to which the students belong, and staged payment within the payment time period disclosed in the current year of the specialty to which the students belong.
In a possible implementation manner, after obtaining a plurality of historical payment time cases, the server analyzes the payment habits of students according to the historical payment time and the historical payment amount in the plurality of historical payment time cases.
Specifically, in the technical scheme, the server determines payment as advance payment according to the historical payment time and payment within the payment time period disclosed in the current year of the specialty to which the student belongs, and then determines payment as one-time payment and staged payment according to the historical payment time. The server combines the classified payment habits, and the combined payment habits can be divided into one-time payment in advance, one-time payment within the payment time period disclosed in the current year of the specialty belonging to the student and staged payment within the payment time period disclosed in the current year of the specialty belonging to the student.
Referring to fig. 4, a third flow diagram of the intelligent paying-attention reminding method for study reservation according to the embodiment of the present application is shown, and the third flow diagram includes the following steps S131 to S133:
step S131: when the payment habit is one-time payment in advance, the reserved students are reminded of paying based on the reserved student payment group and the complete payment time period of the specialty to which the reserved students belong at a first preset time node before the complete payment time period.
In a possible implementation mode, after the server judges that the payment habit is one-time payment in advance, the server screens out students who pay for the payment in advance in all student payment groups, and the students are paid and reminded at a first preset time point before a corresponding complete payment time period.
Specifically, in the technical scheme, the first preset time node for paying once in advance is the first three days of the complete payment time period. For example, the payment habits of the student D and the student E are in advance of one-time payment, the starting time of the complete payment time period of the specialty to which the student D belongs is 8 months and 15 days, and then the payment reminding is carried out on the student D in 8 months and 12 days; the starting time of the complete payment time period of the specialty to which the student E belongs is 8 months and 5 days, and then the student E is reminded of paying in 8 months and 2 days.
Step S132: when the payment habit is one-time payment within the payment time period published in the current year of the specialty of the student, the reserved student is subjected to payment reminding at a second preset time node within the payment time of the specialty of the student based on the group of the reserved student and the payment time period published in the current year of the specialty of the reserved student.
In a possible implementation mode, after the server judges that the payment habit is once payment within the period of time of the published payment of the current year of the specialty of the student, the server screens out the students who are once payment within the period of time of the published payment of the current year of the specialty of the students in all the student payment groups, and carries out payment reminding on the students at a second preset time node before the period of the published payment of the current year of the specialty of the students shown by the corresponding official website.
Specifically, in the technical scheme, a second preset time node before the payment time period published in the year of the specialty to which the student belongs is the first three days of the professional payment time period shown in the official website. For example, the payment habits of the student F and the student G are once payment within the payment time period published in the year of the specialty to which the student belongs, the starting time of the payment time period of the specialty to which the student F belongs is 9 months and 1 day, and then the student F is prompted to pay in 8 months and 28 days; the starting time of the payment time period of the specialty to which the student G belongs is 9 months and 5 days, so that the student G is reminded of payment in 9 months and 2 days.
Step S133: when the payment habit is to pay in stages within the published payment time period of the current year of the specialty where the student belongs, based on the student-reserved payment group and the published payment time period of the current year of the specialty where the student belongs, wherein the published payment time period of the current year of the specialty where the student belongs is divided into a first payment time period and a second payment time period, the student is subjected to payment reminding at a second preset time node before the first payment time period, and the student is subjected to payment reminding at a third preset time node before the second payment time period.
In a possible implementation manner, after the server judges that the payment habits are paid in an already published payment time period of the current year of the specialty to which the students belong, the remaining students who pay in the already published payment time period of the current year of the specialty to which the students belong in all the students payment groups are screened out, the remaining students are reminded of paying in a second preset time node before the first payment time period of the specialty to which the students belong, which is shown by a corresponding official website, and the remaining students are reminded of paying in a third preset time node before the second payment time period.
Specifically, in the technical scheme, a second preset time node before a payment time period published in the year of a specialty to which the student belongs is the first three days of a professional first payment time period shown by an official website, and a third preset time node is the first seven days of a professional second payment time period shown by the official website. For example, the student H payment habit is to pay for the students in the published payment time period of the year of the specialty to which the student belongs, the first payment time period of the specialty to which the student H belongs is 9 month 1, the second payment time period is 10 month 1, the first payment reminding is performed in 8 month 28, and the second payment reminding is performed in 9 month 24.
Referring to fig. 5, a fourth flow chart of the intelligent paying-attention reminding method for leaving behind school according to the embodiment of the present application is shown, and the method includes the following steps S141 to S143:
step S141: and when the student stays new, acquiring new study reservation information, and checking whether a corresponding student stay payment group exists according to the new study reservation information.
In one possible implementation mode, when the student stays new, the server determines whether the student stays a payment group corresponding to the new student in the existing historical student stay information database or not according to the obtained new student stay information.
Specifically, in the present embodiment, for example, student I is newborn, school of student I is University of Toronto, college is Art and Science Faculty, specialty is Math and Stats, and grade is one year old. And the information of the students I on leaving study is corresponding to the groups of students paying for leaving study in the existing database, and whether the corresponding groups of students paying for leaving study exist is checked.
Step S142: if yes, recommending the new payment habit based on the student-reserved payment group and the published payment time period of the current year of the specialty to which the student belongs, and then carrying out corresponding payment reminding according to the newly selected payment habit.
In a possible implementation mode, after the server judges that a student payment group corresponding to the new life is available, the payment habit is recommended to the new life, and corresponding payment reminding is carried out according to the newly selected payment habit.
Specifically, in the technical scheme, the student I and the student a are the same student paying group, the student I can be recommended according to the information such as the complete paying time period of the student paying group, whether deferred payment is allowed or not, whether late payment is available or not, and the like, and then the student I is reminded according to the paying mode selected by the student I and the corresponding paying reminding mode.
Step S143: if not, acquiring the published payment time period of the current year of the specialty of the student based on the new study information, and carrying out related payment reminding on the new study at a fourth preset time node before the published payment time period of the current year of the specialty of the student.
In a possible implementation manner, after the server judges that no student payment group corresponding to the new life is available, the server refers to the school and professional official website payment information of the new life, and reminds the new life of paying according to a fourth preset time node before the starting time node of the official website payment information.
In another possible implementation manner, after the server acquires the new information for leaving a school, the server compares the information with the extracted characteristics of the country where the school is located, the area where the school is located, the name of the school, the name of the college, the name of the professional and the like in sequence until the same characteristics do not exist, and then the server reminds the new information for paying the fee according to the fee paying conditions of the fee paying group with the same characteristics.
Specifically, in the present embodiment, for example, student J is newborn, school is University of London, college is Faculty of Engineering Sciences, and specialty is Computer Science. The extracted features are that the country is UK, the region is London, the school is the university of London, the college is the institute of engineering science, and the specialty is computer science. If the historical database of the server does not contain the historical data of the school specialty read by the student J, the server firstly inquires payment time information and standard payment amount information on the official website of the school specialty according to the new information for leaving study, and then searches whether the country has the English or not according to the extracted characteristics; if yes, whether the region has London is searched in the extracted features, and if yes, whether the school has the university of London is searched in the extracted features; and if not, referring to historical payment information of other london schools as reference information to send reminding information to the student J.
Referring to fig. 6, a flow diagram of a fifth process of the intelligent paying-attention reminding method for study reservation according to the embodiment of the present application is shown, including the following steps S151 to S152:
step S151: and determining the student who does not pay according to the payment record.
In a possible implementation mode, after the server sends the payment reminding to the students, the payment records of the students who have paid are obtained, and the students who have not paid are screened out.
Step S152: and after a fixed time, the student who does not pay is reminded of paying again.
In a possible implementation mode, after the unpaid student is screened out, the server reminds the unpaid student after a fixed time.
Particularly, in the technical scheme, the system can also be used for helping students to pay fees. The students can remit money to the system, which then remits money to school. Therefore, after the server sends the payment reminding, the students pay, the server obtains the payment records of the paid students, screens out the non-paid students after the payment reminding, and reminds the non-paid students again after a fixed time. In the present system, the fixed time is set to seven days later. If the students who do not pay within seven days after the payment reminding, the server obtains the payment record, and the students are not reminded again.
It should be noted that the server will judge the payment habits of students left, if the payment habits of a student left are the payment at the end time node of the professional payment time period, if the student left is not the payment at the time node, and the payment reminding after a fixed time of seven days will exceed the payment time period to generate the deposit, the server will carry out the payment reminding once a day for the student left.
Referring to fig. 7, a schematic structural diagram of an intelligent paying reminding device for leaving school according to an embodiment of the present application is shown, the device is an intelligent paying reminding system for leaving school, and the intelligent paying reminding system for leaving school includes a student information acquisition module 10, a clustering module 11, a fee information acquisition module 12, and a paying reminding module 13. The student information acquisition module 10 is used for acquiring historical student information and historical payment information of the old; the clustering module 11 is used for extracting historical study-keeping information features of students and clustering students with different features; the charge information acquisition module 12 is used for acquiring the published payment time period of the current year of the specialty of the student; the payment reminding module 13 is used for carrying out payment reminding at corresponding time intervals on different student payment groups.
In a possible embodiment, the fee information acquiring module 12 is further configured to acquire a standard payment amount published in the current year of a specialty to which the student belongs.
In a possible embodiment, the intelligent call-out reminding system for leaving school further comprises a comparative analysis module 14. The comparison and analysis module 14 is configured to compare the plurality of historical payment time information with the payment time periods published in the current year of the professions to which the students belong, compare the historical payment amount information with the standard payment amounts published in the current year of the professions to which the students belong, and analyze whether the professions to which the students belong allow deferred payment and whether deferred payment has a late payment.
In a possible implementation manner, the comparison and analysis module 14 is further configured to analyze the payment habits of the students according to the plurality of historical payment time cases, and determine that the payment habits of the students are one-time payment in advance, one-time payment within the payment time period disclosed in the current year of the specialty to which the students belong, and periodic payment within the payment time period disclosed in the current year of the specialty to which the students belong.
In one possible embodiment, the student information acquisition module 10 is also used to acquire new student information. The comparison and analysis module 14 is further configured to determine whether a student payment group corresponding to the new student exists in the existing historical study information database.
In a possible implementation manner, the intelligent study-keeping payment reminding system further includes a payment information obtaining module 15. The payment information obtaining module 15 is configured to obtain a payment record after the student pays.
It should be noted that: in the above embodiment, when the device implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the device may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 8, a schematic structural diagram of an electronic device provided in an embodiment of the present application is shown. The electronic device 800 may include: at least one processor 801, at least one network interface 804, a user interface 803, a memory 805, at least one communication bus 802.
Wherein a communication bus 802 is used to enable connective communication between these components.
The user interface 803 may include a Display screen (Display) and a Camera (Camera), and the optional user interface 803 may also include a standard wired interface and a wireless interface.
The network interface 804 may optionally include a standard wired interface, a wireless interface (e.g., WI-FI interface).
The Memory 805 may include a Random Access Memory (RAM) or a Read-Only Memory (Read-Only Memory). Optionally, the memory 805 includes a non-transitory computer-readable medium. The memory 805 may be used to store instructions, programs, code sets, or instruction sets. The memory 805 may include a stored program area and a stored data area, wherein the stored program area may store instructions for implementing an operating system, instructions for at least one function (such as a touch function, a sound playing function, an image playing function, etc.), instructions for implementing the various method embodiments described above, and the like; the storage data area may store the data and the like referred to above in the respective method embodiments. The memory 805 may optionally be at least one memory device located remotely from the processor 801 as previously described. As shown in fig. 8, the memory 805, which is a type of computer storage medium, may include an operating system, a network communication module, a user interface module, and an application program for personalized presentation of enterprise information.
In the electronic device 800 shown in fig. 8, the user interface 803 is mainly used as an interface for providing input for a user, and acquiring data input by the user; and the processor 801 may be configured to invoke an application program having stored in memory 805 a personalized presentation of business information, which when executed by the one or more processors causes the electronic device 800 to perform the methods as described in one or more of the above embodiments.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present application is not limited by the order of acts described, as some steps may occur in other orders or concurrently depending on the application. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required for the application.
In the foregoing embodiments, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one type of division of logical functions, and there may be other divisions when actually implementing, for example, a plurality of units or components may be combined or may be integrated into another system, or some features may be omitted, or not implemented. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection of some service interfaces, devices or units, and may be an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable memory. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed to by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a memory and includes instructions for causing an electronic device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned memory comprises: various media that can store program codes, such as a U disk, a removable hard disk, a magnetic disk, or an optical disk.
The above description is only an exemplary embodiment of the present disclosure, and the scope of the present disclosure should not be limited thereby. That is, all equivalent changes and modifications made in accordance with the teachings of the present disclosure are intended to be included within the scope of the present disclosure. Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
Claims (10)
1. An intelligent paying reminding method for leaving a study is applied to a server of a paying system, and is characterized by comprising the following steps:
acquiring all student information in a certain area, wherein the all student information comprises all senior citizen information, and the senior citizen information comprises historical student information and historical payment information; the historical payment information comprises historical payment time information and historical payment amount information;
extracting features from historical study reservation information, clustering based on the extracted features to obtain a clustering result, and determining a study reservation payment group according to the clustering result;
acquiring a payment time period which is published in the year of a specialty to which a student belongs based on historical study reservation information;
aggregating the historical payment time information and the published payment time period of the specialty of the student to obtain the complete payment time period of the specialty of the student;
and according to the complete payment time period and the historical payment amount information, performing corresponding time period payment reminding on different student-reserved payment groups.
2. The intelligent payment reminding method of claim 1, after obtaining all student information in a certain area, further comprising:
acquiring a standard payment amount published in the year of a specialty to which the student belongs based on the historical study reservation information;
comparing the historical payment information with the payment time period published in the current year of the specialty to which the student belongs, wherein the historical payment information comprises a plurality of historical payment time cases and a plurality of historical payment amount cases, and if the historical payment time cases exceed the payment time period published in the current year of the specialty to which the student belongs, judging whether the specialty to which the student belongs allows delayed payment;
if the retention student belongs to the specialty and allows delayed payment, comparing the historical payment amount information with the standard payment amount published in the current year of the specialty of the retention student;
if the historical payment amount is larger than the standard payment amount published in the current year of the specialty to which the student belongs, determining that the delayed payment of the specialty to which the student belongs has a late payment fee.
3. The intelligent call-out reminding method for leaving school according to claim 1, wherein the extracting features from the historical information for leaving school comprises:
and extracting the characteristics of the country of the school, the area of the school, the name of the college and the name of the professional of the college from the historical information of the college.
4. The intelligent learning-reserved payment reminding method according to claim 2, after obtaining all student-reserved information in a certain area, comprising:
analyzing the payment habits of students according to the plurality of historical payment time cases and the plurality of historical payment amount cases;
the payment habits comprise one-time payment in advance, one-time payment within the payment time period disclosed in the current year of the specialty belonging to the student and staged payment within the payment time period disclosed in the current year of the specialty belonging to the student.
5. The intelligent payment reminding method for leaving school according to claim 4, wherein after analyzing the payment habits of the leaving school students, the method comprises the following steps:
when the payment habit is the one-time payment in advance, based on the student-reserved payment group and the complete payment time period of the specialty to which the student belongs, carrying out payment reminding on the student at a first preset time node before the complete payment time period;
when the payment habit is one-time payment within the payment time period published in the current year of the specialty of the student, the student is paid at a second preset time point within the payment time of the specialty of the student based on the student payment group and the payment time period published in the current year of the specialty of the student;
when the payment habit is to pay in stages within the published payment time period of the current year of the specialty of the student, based on the student-reserved payment group and the published payment time period of the current year of the specialty of the student, wherein the published payment time period of the current year of the specialty of the student is divided into a first payment time period and a second payment time period, a second preset time node before the first payment time period reminds the student of paying, and a third preset time node before the second payment time period reminds the student of paying.
6. The intelligent call-giving reminding method for leaving school according to claim 5, characterized in that after obtaining all information of the students in a certain area, the method further comprises:
when the students are new, acquiring new study reservation information, and checking whether corresponding student reservation payment groups exist according to the new study reservation information;
if yes, recommending the payment habit to the new student based on the student-reserved payment group and the published payment time period of the current year of the specialty to which the student belongs, and then carrying out corresponding payment reminding according to the selected payment habit of the new student;
and if not, acquiring the published payment time period of the current year of the specialty of the student based on the new study reservation information, and carrying out related payment reminding on the new study at a fourth preset time node before the published payment time period of the current year of the specialty of the student.
7. The intelligent college-leaving payment reminding method according to claim 1, wherein after the payment reminding of different college-leaving student at corresponding time period, the method comprises the following steps:
determining students who do not pay according to the payment records;
and after a fixed time, carrying out secondary payment reminding on the unpaid students.
8. The utility model provides a stay to learn intelligence and collect fee warning system which characterized in that, the system includes:
the student information acquisition module (10) is used for acquiring historical student information and historical payment information of the old;
the clustering module (11) is used for extracting the historical study reserving information characteristics of the students and clustering the students with different characteristics;
the system comprises a charge information acquisition module (12) for acquiring a charge time period which is published in the year of a specialty where students belong;
and the payment reminding module (13) is used for carrying out payment reminding at corresponding time intervals on different student payment groups.
9. An electronic device, comprising a processor (801), a memory (805), a user interface (803), and a network interface (804), the memory (805) being configured to store instructions, the user interface (803) and the network interface (804) being configured to communicate with other devices, the processor (801) being configured to execute the instructions stored in the memory (805) to cause the electronic device (800) to perform the method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores instructions that, when executed, perform the method steps of any of claims 1-7.
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| CN116188219A (en) * | 2023-03-17 | 2023-05-30 | 北京易思汇商务服务有限公司 | Reminding method, device, electronic equipment and medium related to reservation payment |
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