CN112767009B - Training project recommendation method based on WeChat public number training registration - Google Patents

Training project recommendation method based on WeChat public number training registration Download PDF

Info

Publication number
CN112767009B
CN112767009B CN202011636734.0A CN202011636734A CN112767009B CN 112767009 B CN112767009 B CN 112767009B CN 202011636734 A CN202011636734 A CN 202011636734A CN 112767009 B CN112767009 B CN 112767009B
Authority
CN
China
Prior art keywords
training
preset
user
control module
registration
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202011636734.0A
Other languages
Chinese (zh)
Other versions
CN112767009A (en
Inventor
宋汝良
钱哨
李挥剑
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Shanghai Mengchuang Shuangyang Data Technology Co ltd
Original Assignee
Shanghai Mengchuang Shuangyang Data Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Shanghai Mengchuang Shuangyang Data Technology Co ltd filed Critical Shanghai Mengchuang Shuangyang Data Technology Co ltd
Priority to CN202011636734.0A priority Critical patent/CN112767009B/en
Publication of CN112767009A publication Critical patent/CN112767009A/en
Application granted granted Critical
Publication of CN112767009B publication Critical patent/CN112767009B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/02Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201Market modelling; Market analysis; Collecting market data
    • G06Q30/0202Market predictions or forecasting for commercial activities
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/95Retrieval from the web
    • G06F16/953Querying, e.g. by the use of web search engines
    • G06F16/9535Search customisation based on user profiles and personalisation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce
    • G06Q30/06Buying, selling or leasing transactions
    • G06Q30/0601Electronic shopping [e-shopping]
    • G06Q30/0631Item recommendations
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services
    • G06Q50/20Education
    • G06Q50/205Education administration or guidance
    • G06Q50/2057Career enhancement or continuing education service

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Strategic Management (AREA)
  • Accounting & Taxation (AREA)
  • Theoretical Computer Science (AREA)
  • Finance (AREA)
  • Physics & Mathematics (AREA)
  • Development Economics (AREA)
  • General Physics & Mathematics (AREA)
  • General Business, Economics & Management (AREA)
  • Educational Administration (AREA)
  • Economics (AREA)
  • Databases & Information Systems (AREA)
  • Educational Technology (AREA)
  • Marketing (AREA)
  • Data Mining & Analysis (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Human Resources & Organizations (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Game Theory and Decision Science (AREA)
  • General Engineering & Computer Science (AREA)
  • Rehabilitation Tools (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Electrically Operated Instructional Devices (AREA)

Abstract

The invention relates to a training project recommendation method based on WeChat public number training registration, which comprises the following steps: registering the user; the training recommendation module pushes corresponding training items to the user according to the working positions and the position levels of the user; selecting a training shift when the user registers; the training control module generates a recommended registration grade for the user according to the start time interval of the previous shift and the subsequent shift and the distance between the start places; when the user finishes the registration, the training control module adjusts the pushing period, the type and the number of the training items; when a user cancels or modifies the registered shift, the registration abnormality processing module performs data interaction with the training control module. According to the invention, by using the training control module, the corresponding number and the corresponding types of training items can be pushed to the clients in a targeted manner according to the reporting situation and the training progress of the users, and the effectiveness of information pushed to the users by using the method can be effectively improved on the premise of ensuring the demands of the clients.

Description

Training project recommendation method based on WeChat public number training registration
Technical Field
The invention relates to the technical field of push information processing, in particular to a training project recommendation method based on WeChat public number training registration.
Background
When a training organization holds a training class, the training organization usually issues training information through a website and a WeChat public number and provides an entry form. When the related public browses the training information, the public can submit the registration form within a specified time, and after the training institutions audit, the payment registration confirmation is completed. Because the target clients of the wide-spread network mode are uncertain and low in efficiency, some training institutions can actively collect data of potential clients, send current training start information to the clients through telephone, mail and other modes, and generally comprise training contents, training sites, training time, training instructors and other contents, and attach receipt of registration. The training mechanism contacts the training site according to the registration condition, and feeds back the start notification to the registration student through the mail after the site is determined.
Mail systems are now an important tool for automated office work, producing a large amount of information data, including many spam messages, every day. In addition to coping with heavy work tasks, people need to spend a lot of time processing and screening received mail messages, so providing information meeting the needs of users is also an important index for improving the satisfaction rate of users. In the pushing manner in the prior art, a specified amount of information is pushed to a user at a specified frequency, and different users have a great probability of neglecting the information or being unable to concentrate on reading the content in the information under different states, so that the effectiveness of pushing the information in the prior art is reduced.
Disclosure of Invention
Therefore, the invention provides a training program recommending method based on WeChat public number training registration, which is used for solving the problem that the effectiveness of pushing information is low because corresponding information cannot be pushed according to the requirement of a user in the prior art.
In order to achieve the above purpose, the invention provides a training program recommending method based on WeChat public number training registration, comprising the following steps:
step a, a user registers, and when a student registration module receives registration information input by the user, student information is generated, wherein the student information generated by the student registration module comprises student name, sex, unit identification code, working post, post level and working place;
step b, when the user does not actively register for the training items within the preset duration, the training recommendation module pushes the corresponding training items to the user according to the working positions and the position levels when the user registers, and screens training shifts in the training items according to the working places of the user; when a user browses or registers a specific item in a preset time period, the training recommendation module adjusts the pushed training item according to the item browsed or registered by the user;
step c, when a user registers for a single training project, if the user does not register for a shift before registering, the training registering module performs data interaction with the training control module when the user finishes registering, when the training control module judges that the registering information of the user accords with the standard, the training control module judges that the registering of the user is successful and sequentially performs data interaction with the training registering module and the registering abnormality processing module, the training registering module arranges each training shift according to the ascending order of the distance between the training shift and the user work unit for the registering result of the user, and the user selects the corresponding training shift in the training project according to the generated result;
Step d, when a user registers a single training item, if the user has registered a shift before registering, the training control module registers the registered shift as a previous shift and registers the shift in the single training item for completing registration as a following shift, and when the training dates of the previous shift and the following shift exist on the same day, the training control module generates a recommended registration grade for the user according to the distance between the time interval of the previous shift and the following shift on the same day and the shift place;
step e, when the user finishes the registration, the training control module sequentially adjusts the pushing period of the training items, the types of the pushed training items, the number of the pushed training items and the pushing frequency proportion of each training item according to the number of the training items registered by the user, the number of training shifts in each training item and the completion progress of each training item;
step f, when the user cancels or modifies the registered shift, the registration abnormality processing module performs data interaction with the training control module to ensure the uniqueness and the accuracy of registration information;
the training control module is provided with a preset post matrix group R0, a preset pre-registration push quantity matrix M0 and a preset pre-registration push quantity adjustment parameter matrix a0; setting R0 (R1, R2, R3,..rn) for the preset-post matrix set R0, wherein R1 is a first preset-post matrix, R2 is a second preset-post matrix, R3 is a third preset-post matrix, rn is an nth preset-post matrix, and for the nth preset-post matrix Rn, setting Rn (Rn 1, rn2, rn3, rn 4), wherein Rn1 is an nth-post first preset-post grade, rn2 is an nth-post second preset-post grade, rn3 is an nth-post third preset-post grade, and Rn4 is an nth-post fourth preset-post grade; setting M0 (M1, M2, M3, mn.) for the preset pre-entry push quantity matrix M0, wherein M1 is a first preset pre-entry push quantity, M2 is a second preset pre-entry push quantity, M3 is a third preset pre-entry push quantity, and Mn is an nth preset pre-entry push quantity; setting a0 (a 1, a2, a3, a 4) for the preset pre-registration push quantity adjustment parameter matrix a0, wherein a1 is a first preset pre-registration push quantity adjustment parameter, a2 is a second preset pre-registration push quantity adjustment parameter, a3 is a third preset pre-registration push quantity adjustment parameter, and a4 is a fourth preset pre-registration push quantity adjustment parameter;
When a user is successfully registered and does not register or browse the training items, the training control module selects the corresponding number of training item pushing information aiming at the working positions of the user according to the working positions input during the registration of the user, when the working positions of the user are Ri, the training control module sets the pushing number of the training items aiming at the user as Mi, and when the setting is completed, the training control module adjusts the pushing number Mi of the training items aiming at the user according to the position level of the user:
when the post level of the user is Ri1, the training control module selects a1 to adjust the pushing quantity Mi of training projects aiming at the user;
when the post level of the user is Ri2, the training control module selects a2 to adjust the pushing quantity Mi of the training projects aiming at the user;
when the post level of the user is Ri3, the training control module selects a3 to adjust the pushing quantity Mi of the training projects aiming at the user;
when the post level of the user is Ri4, the training control module selects a4 to adjust the pushing quantity Mi of the training projects aiming at the user;
When the training control module selects aj to adjust the pushing quantity Mi of the training items aiming at the user, j=1, 2,3 and 4 are set, the adjusted pushing quantity of the training items aiming at the user is Mi ', and Mi' =Mi×aj is set.
Further, a preset initial pushing quantity matrix N0, a preset pushing period matrix T0 and a preset pushing period correction coefficient matrix q0 are also arranged in the training control module; setting N0 (N1, N2, N3, N4) for the preset initial pushing quantity matrix N0, wherein N1 is a first preset initial pushing quantity, N2 is a second preset initial pushing quantity, N3 is a third preset initial pushing quantity, N4 is a fourth preset initial pushing quantity, and the preset initial pushing quantities gradually increase in sequence; setting T0 (T1, T2, T3 and T4) for the preset push period matrix T0, wherein T1 is a first preset push period, T2 is a second preset push period, T3 is a third preset push period, T4 is a fourth preset push period, and the time intervals of the preset push periods gradually increase in sequence; setting q0 (q 1, q2, q3, q 4) for the preset push period correction coefficient matrix q0, wherein q1 is a first preset push period correction coefficient, q2 is a second preset push period correction coefficient, q3 is a third preset push period correction coefficient, and q4 is a fourth preset push period correction coefficient;
When the training control module sets the pushing quantity of the training items aiming at the user as Mi ', the training control module compares Mi' with parameters in the preset initial pushing quantity matrix N0 and selects a training item pushing period aiming at the user according to a comparison result:
when Mi' is less than or equal to N1, the training control module sets a training project pushing period for the user to be T1;
when N1 is more than Mi' and less than or equal to N2, the training control module sets the training project pushing period for the user to be T2;
when N2 is less than Mi' and less than or equal to N3, the training control module sets the training project pushing period for the user to be T3;
when N3 is less than Mi' and less than or equal to N4, the training control module sets the training project pushing period for the user to be T4;
when the training control module sets the training project pushing period aiming at the user as Tj, j=1, 2,3,4 is set, the training control module corrects the Tj according to the post grade when the user registers, when the post grade when the user registers is Rik, k=1, 2,3,4 is set, the training control module selects qk to adjust the Tj, the adjusted pushing period is Tj ', and Tj' =Tj×qk is set.
Further, the training control module is also provided with a preset pre-registration duration matrix ta0 and a preset pre-registration pushing quantity correction coefficient matrix c0; setting ta0 (ta 1, ta2, ta3, ta 4) for the preset pre-registration time length matrix ta0, wherein ta1 is a first preset pre-registration time length, ta2 is a second preset pre-registration time length, ta3 is a third preset pre-registration time length, ta4 is a fourth preset pre-registration time length, and the pre-registration time lengths gradually increase in sequence; setting c0 (c 1, c2, c3, c 4) for the preset pre-registration push number correction coefficient matrix c0, wherein c1 is a first preset pre-registration push number correction coefficient matrix, c2 is a second preset pre-registration push number correction coefficient matrix, c3 is a third preset pre-registration push number correction coefficient matrix, c4 is a fourth preset pre-registration push number correction coefficient matrix, c1 is more than 0 and less than c2 is more than 1 and less than c3 is more than c4 and less than 1.5;
when the training control module sets the pushing quantity of the training items for the user as Mi', the training control module corrects the pushing quantity of the training items according to the comparison result of the time length ta between the completion of the registration of the user and the push of the training items for the user and the parameters in the preset pre-registration time length matrix ta 0:
When ta is less than or equal to ta1 or ta is more than ta4, the training control module corrects the pushing quantity of the training items to Mi' by using c 1;
when ta1 is more than ta and less than or equal to ta2, the training control module corrects the pushing quantity of the training items to Mi' by using c 2;
when ta2 is less than ta and less than or equal to ta3, the training control module corrects the pushing quantity of the training items to Mi' by using c 3;
when ta3 is less than ta and less than or equal to ta4, the training control module corrects the pushing quantity of the training items to Mi' by using c 4;
when the training control module uses cj to set the pushing quantity of the training items as Mi ' for correction, j=1, 2,3 and 4 are set, the corrected pushing quantity is Mi ', mi ' =Mi ' ×cj is set, and after correction is completed, the training control module readjusts the training item pushing period for the user according to Mi '.
Further, the training control module is also provided with a preset browse quantity matrix F0 before registration and a preset push quantity duty ratio matrix b0 before registration; setting F0 (F1, F2, F3 and F4) for the preset pre-registration browsing quantity matrix F0, wherein F1 is a first preset pre-registration browsing quantity, F2 is a second preset pre-registration browsing quantity, F3 is a third preset pre-registration browsing quantity, F4 is a fourth preset pre-registration browsing quantity, and the pre-registration browsing quantities gradually increase in sequence; setting b0 (b 1, b2, b3, b 4) for the preset pre-registration push number duty cycle matrix b0, wherein b1 is a first preset pre-registration push number duty cycle, b2 is a second preset pre-registration push number duty cycle, b3 is a third preset pre-registration push number duty cycle, b4 is a fourth preset pre-registration push number duty cycle, and b1 is more than 0 and less than b2 is more than 3 and less than b4 is less than 1;
When a user browses the information of training items of posts different from the work post filled in when the user registers before registering, the training control module marks the training items browsed by the user as amateur training items aiming at the user, counts the times F of the amateur training items browsed by the user in real time, compares the F with the parameters in the preset pre-registering browsing quantity matrix F0, and adjusts the push quantity ratio of the amateur training items when pushing the training items aiming at the user according to the comparison result:
when F is less than or equal to F1, the training control module sets the duty ratio of the amateur training item number in the total number of the training items pushed by the user as b1;
when F1 is less than F and less than or equal to F2, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b2;
when F2 is less than F and less than or equal to F3, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b3;
when F3 is less than F and less than or equal to F4, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b4;
When the training control module sets the number of training items pushed for the user to be Mi "and the training control module sets the ratio of the number of amateur training items to be bj in the total number of training items pushed for the user, j=1, 2,3,4 is set, the training control module marks the number of amateur training items pushed for the user to be mia", and mia "=mi" ×bj is set.
Further, when the user browses a plurality of amateur training items belonging to different work posts before registering, the training control module counts the total number of the amateur training items browsed before registering by the user and the proportion of the amateur training items of each work post, and when counting is completed, the training control module determines the proportion bj of the amateur training items in the total number of the training items pushed by the user according to the total number of the amateur training items, calculates the number Mib ' of the amateur training items pushed by the user according to the bj, and sequentially determines the pushing number of the amateur training items of each work post in the training item pushing number Mib ' according to the proportion of the amateur training items of each work post in Mib ' and the proportion of the amateur training items of each work post browsed by the user; when the number of the amateur training items is determined, if the push number of the training items belonging to the single working post is a fraction, the training control module rounds the push number downwards.
Further, a preset shift number matrix G0 and a preset post-registration push adjustment parameter matrix e0 are also arranged in the training control module; setting G0 (G1, G2, G3 and G4) for the preset shift number matrix G0, wherein G1 is a first preset shift number, G2 is a second preset shift number, G3 is a third preset shift number, G4 is a fourth preset shift number, and the preset shift numbers gradually increase in sequence; setting e0 (e 1, e2, e3, e 4) for the preset post-registration push adjustment parameter matrix e0, wherein e1 is a first preset post-registration push adjustment parameter, e2 is a second preset post-registration push adjustment parameter, e3 is a third preset post-registration push adjustment parameter, and e4 is a fourth preset post-registration push adjustment parameter, e1 is more than 0.5 and less than 1 and e2 is more than 3 and less than 2;
when the user finishes the training shifts in the training project which is the same as the working positions filled in during registration, the training control module counts the number G of shifts registered by the user, compares the number G with the parameters in the preset shift number matrix G0, and adjusts the corrected pushing period Tj' according to the comparison result:
when G is less than or equal to G1 or G is more than G4, the training control module selects e1 to adjust the corrected pushing period Tj';
When G1 is more than G and less than or equal to G2, the training control module selects e2 to adjust the corrected pushing period Tj';
when G2 is smaller than G and smaller than or equal to G3, the training control module selects e3 to adjust the corrected pushing period Tj';
when G3 is more than G and less than or equal to G4, the training control module selects e4 to adjust the corrected pushing period Tj';
when the training control module selects ei to adjust the corrected pushing period Tj ', i=1, 2,3,4 is set, the adjusted training item pushing period is Tj ", and Tj" =tj' ×ei is set.
Further, a preset weight coefficient matrix Z0 is further arranged in the training control module, Z0 (Za, zb) is set, wherein Za is a preset training shift weight coefficient, zb is an amateur training shift weight coefficient, 0 < Za < 1, 0 < Zb < 1 and za+Zb=1;
when the user registers a plurality of shifts and the working positions to which the plurality of shifts belong are different, the training control module counts the number Ga of preset training shifts which are the same as the working positions filled in when the user registers and the number Gb of amateur training shifts which are different from the working positions filled in when the user registers, after counting, the training control module calculates the comparison shift number G ', sets G' =Ga×za+Gb×Zb, after calculating, the training control module compares G 'with the parameters in the preset shift number matrix G0 and adjusts the corrected pushing period Tj' according to the comparison result.
Further, a preset training progress matrix L0 and a preset pushing quantity secondary adjustment coefficient matrix u0 are also arranged in the training control module; setting L0 (L1, L2, L3 and L4) for the preset training progress matrix L0, wherein L1 is a first preset training progress, L2 is a second preset training progress, L3 is a third preset training progress, L4 is a fourth preset training progress, and L1 is more than 0 and less than L2 and L3 is more than 0 and less than L4 and less than 1; setting u0 (u 1, u2, u3, u 4) for the preset push quantity secondary adjustment coefficient matrix u0, wherein u1 is a first preset push quantity secondary adjustment coefficient, u2 is a second preset push quantity secondary adjustment coefficient, u3 is a third preset push quantity secondary adjustment coefficient, u4 is a fourth preset push quantity secondary adjustment coefficient, and u4 is more than 0 and less than u3 and less than u1 and less than 1;
when the training control module sets the pushing quantity of the training items for the user as Mi' and the user carries out training, the training control module sequentially counts the completion progress of each training item according to the completion condition of the registered training shift of the user and calculates the total training progress L of the user, and after calculation, the training control module compares the L with the parameters in the preset training progress matrix L0 and adjusts the pushing quantity of the training items for the user according to the comparison result:
When L is less than or equal to L1, the training control module selects a first preset pushing quantity secondary adjustment coefficient u1 to adjust the pushing quantity Mi' of training items;
when L1 is more than L and less than or equal to L2, the training control module selects a second preset pushing quantity secondary adjustment coefficient u2 to adjust the pushing quantity Mi' of the training items;
when L2 is more than L and less than or equal to L3, the training control module selects a third preset pushing quantity secondary adjustment coefficient u3 to adjust the pushing quantity Mi' of the training items;
when L3 is more than L and less than or equal to L4, the training control module selects a fourth preset pushing quantity secondary adjustment coefficient u4 to adjust the pushing quantity Mi' of the training items;
when L is more than L4, the training control module does not adjust the pushing quantity Mi' of the training projects;
when the training control module selects a j-th preset pushing quantity secondary adjustment coefficient uj to adjust the training item pushing quantity Mi ', j=1, 2,3 and 4 are set, the adjusted training item pushing quantity is Mia, and Mia=Mi'. Times.uj is set.
Further, a preset time interval matrix t0 and a preset distance standard matrix D0 are further provided in the training control module, t0 (t 1, t2, t3, t 4) is set for the preset time interval matrix t0, wherein t1 is a first preset time interval, t2 is a second preset time interval, t3 is a third preset time interval, t4 is a fourth preset time interval, and the duration of each preset time interval gradually increases in sequence; setting D0 (D1, D2, D3 and D4) for the preset distance standard matrix D0, wherein D1 is a first preset distance standard, D2 is a second preset distance standard, D3 is a third preset distance standard, D4 is a fourth preset distance standard, and the preset distance standards are gradually increased in sequence;
When the user successfully registers the previous shift and applies for registering the subsequent shift, if the previous shift and the subsequent shift are on the same day, the training control module calculates a time interval t between two shifts, compares t with parameters in the preset time interval matrix t0, and selects a corresponding preset distance standard according to a comparison result:
when t is less than or equal to t1, the training control module sets a preset distance standard to be D1;
when t1 is more than t and less than or equal to t2, the training control module sets a preset distance standard as D2;
when t2 is more than t and less than or equal to t3, the training control module sets a preset distance standard as D3;
when t3 is more than t and less than or equal to t4, the training control module sets a preset distance standard as D4;
when the training control module sets a preset distance standard to Di, setting i=1, 2,3 and 4, comparing the distance D between the previous class starting point and the next class starting point with Di by the training control module, judging that the next class is a recommended registration class by the training control module when D is less than or equal to Di, and judging that the next class is not recommended registration class by the training control module when D is more than Di.
Further, when the class time of the previous shift is earlier than the class time of the following shift, the training control module calculates a time interval t between two shifts by selecting the end time of the previous shift and the class time of the following shift; when the class time of the previous shift is later than the class time of the subsequent shift, the training control module calculates the time interval t between the two shifts by selecting the end time of the subsequent shift and the class time of the previous shift.
Compared with the prior art, the method has the beneficial effects that by using the training control module, the corresponding number and the corresponding types of training items can be purposefully pushed to the clients according to the reporting situation and the training progress of the users, and the effectiveness of information pushed by the method for the users can be effectively improved on the premise of ensuring the demands of the clients. Meanwhile, a preset post matrix group R0, a preset pre-registration push quantity matrix M0 and a preset pre-registration push quantity adjustment parameter matrix a0 are arranged in the training control module, when a user is successfully registered and registration or browsing is not performed on training items, the training control module selects training item push information corresponding to the user according to the work post input during user registration, adjusts the push quantity of the training items corresponding to the user according to the post level of the user, and can ensure that the user can read the training items when receiving the message, avoid the situation that the user does not directly consult due to excessive push quantity, and further improve the effectiveness of the information pushed by the user by using the method while further ensuring the client requirement.
Further, a preset initial pushing quantity matrix N0, a preset pushing period matrix T0 and a preset pushing period correction coefficient matrix q0 are further arranged in the training control module, when the training control module sets the pushing quantity of training items for a user as Mi ', the training control module compares the Mi' with parameters in the preset initial pushing quantity matrix N0, selects a training item pushing period for the user according to a comparison result, adjusts the pushing period according to the post grade of the user, and can effectively avoid the situation that the user does not look up due to too frequent pushing by preliminarily determining the training item pushing period for the user according to the preset training item pushing quantity for the user.
Further, the training control module is also provided with a preset pre-registration duration matrix ta0 and a preset pre-registration pushing quantity correction coefficient matrix c0; when the training control module sets the pushing quantity of the training items aiming at the user as Mi', the training control module corrects the pushing quantity of the training items according to the comparison result of the parameters in the time length matrix ta0 before the preset registration and the time length ta between the completion of registration and the pushing of the training items aiming at the user, and when the user does not register, the effective reading quantity of the training items aiming at pushing information by the user can be effectively ensured by adjusting the pushing quantity of the training items aiming at the duration of the user which does not register, so that the probability of registering the training items by the user is improved, and the effectiveness of the information pushed by the user by using the method is further improved.
Further, the training control module is further provided with a preset pre-registration browsing quantity matrix N0 and a preset pre-registration pushing quantity proportion matrix b0, when a user browses information of training items with different posts from the posts filled in when registering before registration, the training control module marks the training items browsed by the user as amateur training items aiming at the user, counts the times N of the amateur training items browsed by the user in real time, compares the times N with parameters in the preset pre-registration browsing quantity matrix N0, adjusts the pushing quantity proportion of the amateur training items aiming at the user when pushing the training items according to the comparison result, and can effectively improve the interest of the user in pushing information by calculating the category of the post to which the training items preferred by the user belong according to the browsing record of the user, further improve the probability of the user aiming at the training items, and further improve the effectiveness of pushing the information aiming at the user.
Further, a preset registration number matrix G0 and a preset registration post-pushing adjustment parameter matrix e0 are further arranged in the training control module, when a user completes training shifts in training projects with the same working positions as those filled in during registration, the training control module counts the number G of shifts registered by the user, compares the number G with parameters in the preset shift number matrix G0, and adjusts the corrected pushing period Tj' according to a comparison result; by adjusting the number of shifts of the actual registration of the user, the user can be pushed in a corresponding period according to the residual energy of the user in the training period, so that the probability of registering the user for the training project is further improved, the client requirements are further ensured, and the effectiveness of information pushed by the method for the user is further improved.
Further, a preset training progress matrix L0 and a preset pushing quantity secondary adjustment coefficient matrix u0 are also arranged in the training control module; when the training control module sets the pushing quantity of the training items aiming at the user as Mi' and the user carries out training, the training control module sequentially counts the completion progress of each training item according to the completion condition of the registered training shift of the user and calculates the total training progress L of the user, and after the calculation is completed, the training control module compares the L with the parameters in the preset training progress matrix L0 and adjusts the pushing quantity of the training items aiming at the user according to the comparison result; the method has the advantages that the remaining energy of the user in the training process is determined according to the training progress of the user, the pushing quantity of the training items is adjusted in a targeted mode, the probability of registering the training items by the user can be further improved, the client requirements are further guaranteed, and meanwhile the effectiveness of information pushed by the method for the user is further improved.
Further, a preset time interval matrix t0 and a preset distance standard matrix D0 are further provided in the training control module, when the user successfully registers the previous shift and applies for registering for the subsequent shift, if the previous shift and the subsequent shift are on the same day, the training control module calculates the time interval t between the two shifts, compares t with parameters in the preset time interval matrix t0, and selects a corresponding preset distance standard according to the comparison result; by comparing the time intervals between two shifts, setting a distance standard and determining whether the post shift is the recommended registration shift according to the distance standard, the time utilization efficiency of the user in the training process can be effectively improved.
Drawings
FIG. 1 is a block diagram of a system for training program recommendation using WeChat-based public number training registration methods of the present invention;
FIG. 2 is a flow chart of a training program recommendation method based on WeChat public number training registration according to the present invention.
Description of the embodiments
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
Referring to fig. 1, a block diagram of a system for recommending training items based on WeChat public number training registration according to the present invention is shown, comprising:
and the student registration module is used for collecting and verifying key information of students.
The training recommendation module is connected with the student registration module and is used for pushing training project information conforming to personal information of the students and training shift information corresponding to the training projects to the students according to the personal information acquired by the student registration.
And the training registration module is connected with the training recommendation module and is used for collecting personal registration data of the students.
The registration exception handling module is connected with the training registration module and is used for processing the registration information data and the data exchange of the training control module after the completion of registration by a student, so as to ensure the uniqueness and the accuracy of the registration information.
The training control module is respectively connected with the student registration module, the training recommendation module, the training registration module and the registration exception handling module, and is used for making training projects, generating registration information according to the training projects and finally generating two-dimension code links of specific training projects.
Referring to fig. 2, a flowchart of a training program recommending method based on WeChat public number training registration according to the present invention is shown.
The training project recommending method based on WeChat public number training registration comprises the following steps:
step a, a user registers, and when a student registration module receives registration information input by the user, student information is generated, wherein the student information generated by the student registration module comprises student name, sex, unit identification code, working post, post level and working place;
Step b, when the user does not actively register for the training items within the preset duration, the training recommendation module pushes the corresponding training items to the user according to the working positions and the position levels when the user registers, and screens training shifts in the training items according to the working places of the user; when a user browses or registers a specific item in a preset time period, the training recommendation module adjusts the pushed training item according to the item browsed or registered by the user;
step c, when a user registers for a single training project, if the user does not register for a shift before registering, the training registering module performs data interaction with the training control module when the user finishes registering, when the training control module judges that the registering information of the user accords with the standard, the training control module judges that the registering of the user is successful and sequentially performs data interaction with the training registering module and the registering abnormality processing module, the training registering module arranges each training shift according to the ascending order of the distance between the training shift and the user work unit for the registering result of the user, and the user selects the corresponding training shift in the training project according to the generated result;
step d, when a user registers a single training item, if the user has registered a shift before registering, the training control module registers the registered shift as a previous shift and registers the shift in the single training item for completing registration as a following shift, and when the training dates of the previous shift and the following shift exist on the same day, the training control module generates a recommended registration grade for the user according to the distance between the time interval of the previous shift and the following shift on the same day and the shift place;
Step e, when the user finishes the registration, the training control module sequentially adjusts the pushing period of the training items, the types of the pushed training items, the number of the pushed training items and the pushing frequency proportion of each training item according to the number of the training items registered by the user, the number of training shifts in each training item and the completion progress of each training item;
step f, when the user cancels or modifies the registered shift, the registration abnormality processing module performs data interaction with the training control module to ensure the uniqueness and the accuracy of registration information;
the training control module is provided with a preset post matrix group R0, a preset pre-registration push quantity matrix M0 and a preset pre-registration push quantity adjustment parameter matrix a0; setting R0 (R1, R2, R3,..rn) for the preset-post matrix set R0, wherein R1 is a first preset-post matrix, R2 is a second preset-post matrix, R3 is a third preset-post matrix, rn is an nth preset-post matrix, and for the nth preset-post matrix Rn, setting Rn (Rn 1, rn2, rn3, rn 4), wherein Rn1 is an nth-post first preset-post grade, rn2 is an nth-post second preset-post grade, rn3 is an nth-post third preset-post grade, and Rn4 is an nth-post fourth preset-post grade; setting M0 (M1, M2, M3, mn.) for the preset pre-entry push quantity matrix M0, wherein M1 is a first preset pre-entry push quantity, M2 is a second preset pre-entry push quantity, M3 is a third preset pre-entry push quantity, and Mn is an nth preset pre-entry push quantity; setting a0 (a 1, a2, a3, a 4) for the preset pre-registration push quantity adjustment parameter matrix a0, wherein a1 is a first preset pre-registration push quantity adjustment parameter, a2 is a second preset pre-registration push quantity adjustment parameter, a3 is a third preset pre-registration push quantity adjustment parameter, and a4 is a fourth preset pre-registration push quantity adjustment parameter;
When a user is successfully registered and does not register or browse the training items, the training control module selects the corresponding number of training item pushing information aiming at the working positions of the user according to the working positions input during the registration of the user, when the working positions of the user are Ri, the training control module sets the pushing number of the training items aiming at the user as Mi, and when the setting is completed, the training control module adjusts the pushing number Mi of the training items aiming at the user according to the position level of the user:
when the post level of the user is Ri1, the training control module selects a1 to adjust the pushing quantity Mi of training projects aiming at the user;
when the post level of the user is Ri2, the training control module selects a2 to adjust the pushing quantity Mi of the training projects aiming at the user;
when the post level of the user is Ri3, the training control module selects a3 to adjust the pushing quantity Mi of the training projects aiming at the user;
when the post level of the user is Ri4, the training control module selects a4 to adjust the pushing quantity Mi of the training projects aiming at the user;
When the training control module selects aj to adjust the pushing quantity Mi of the training items aiming at the user, j=1, 2,3 and 4 are set, the adjusted pushing quantity of the training items aiming at the user is Mi ', and Mi' =Mi×aj is set.
Specifically, the training control module is also provided with a preset initial pushing quantity matrix N0, a preset pushing period matrix T0 and a preset pushing period correction coefficient matrix q0; setting N0 (N1, N2, N3, N4) for the preset initial pushing quantity matrix N0, wherein N1 is a first preset initial pushing quantity, N2 is a second preset initial pushing quantity, N3 is a third preset initial pushing quantity, N4 is a fourth preset initial pushing quantity, and the preset initial pushing quantities gradually increase in sequence; setting T0 (T1, T2, T3 and T4) for the preset push period matrix T0, wherein T1 is a first preset push period, T2 is a second preset push period, T3 is a third preset push period, T4 is a fourth preset push period, and the time intervals of the preset push periods gradually increase in sequence; setting q0 (q 1, q2, q3, q 4) for the preset push period correction coefficient matrix q0, wherein q1 is a first preset push period correction coefficient, q2 is a second preset push period correction coefficient, q3 is a third preset push period correction coefficient, and q4 is a fourth preset push period correction coefficient;
When the training control module sets the pushing quantity of the training items aiming at the user as Mi ', the training control module compares Mi' with parameters in the preset initial pushing quantity matrix N0 and selects a training item pushing period aiming at the user according to a comparison result:
when Mi' is less than or equal to N1, the training control module sets a training project pushing period for the user to be T1;
when N1 is more than Mi' and less than or equal to N2, the training control module sets the training project pushing period for the user to be T2;
when N2 is less than Mi' and less than or equal to N3, the training control module sets the training project pushing period for the user to be T3;
when N3 is less than Mi' and less than or equal to N4, the training control module sets the training project pushing period for the user to be T4;
when the training control module sets the training project pushing period aiming at the user as Tj, j=1, 2,3,4 is set, the training control module corrects the Tj according to the post grade when the user registers, when the post grade when the user registers is Rik, k=1, 2,3,4 is set, the training control module selects qk to adjust the Tj, the adjusted pushing period is Tj ', and Tj' =Tj×qk is set.
Specifically, the training control module is also provided with a preset pre-registration duration matrix ta0 and a preset pre-registration pushing quantity correction coefficient matrix c0; setting ta0 (ta 1, ta2, ta3, ta 4) for the preset pre-registration time length matrix ta0, wherein ta1 is a first preset pre-registration time length, ta2 is a second preset pre-registration time length, ta3 is a third preset pre-registration time length, ta4 is a fourth preset pre-registration time length, and the pre-registration time lengths gradually increase in sequence; setting c0 (c 1, c2, c3, c 4) for the preset pre-registration push number correction coefficient matrix c0, wherein c1 is a first preset pre-registration push number correction coefficient matrix, c2 is a second preset pre-registration push number correction coefficient matrix, c3 is a third preset pre-registration push number correction coefficient matrix, c4 is a fourth preset pre-registration push number correction coefficient matrix, c1 is more than 0 and less than c2 is more than 1 and less than c3 is more than c4 and less than 1.5;
when the training control module sets the pushing quantity of the training items for the user as Mi', the training control module corrects the pushing quantity of the training items according to the comparison result of the time length ta between the completion of the registration of the user and the push of the training items for the user and the parameters in the preset pre-registration time length matrix ta 0:
When ta is less than or equal to ta1 or ta is more than ta4, the training control module corrects the pushing quantity of the training items to Mi' by using c 1;
when ta1 is more than ta and less than or equal to ta2, the training control module corrects the pushing quantity of the training items to Mi' by using c 2;
when ta2 is less than ta and less than or equal to ta3, the training control module corrects the pushing quantity of the training items to Mi' by using c 3;
when ta3 is less than ta and less than or equal to ta4, the training control module corrects the pushing quantity of the training items to Mi' by using c 4;
when the training control module uses cj to set the pushing quantity of the training items as Mi ' for correction, j=1, 2,3 and 4 are set, the corrected pushing quantity is Mi ', mi ' =Mi ' ×cj is set, and after correction is completed, the training control module readjusts the training item pushing period for the user according to Mi '.
Specifically, the training control module is also provided with a preset pre-registration browsing quantity matrix F0 and a preset pre-registration pushing quantity duty ratio matrix b0; setting F0 (F1, F2, F3 and F4) for the preset pre-registration browsing quantity matrix F0, wherein F1 is a first preset pre-registration browsing quantity, F2 is a second preset pre-registration browsing quantity, F3 is a third preset pre-registration browsing quantity, F4 is a fourth preset pre-registration browsing quantity, and the pre-registration browsing quantities gradually increase in sequence; setting b0 (b 1, b2, b3, b 4) for the preset pre-registration push number duty cycle matrix b0, wherein b1 is a first preset pre-registration push number duty cycle, b2 is a second preset pre-registration push number duty cycle, b3 is a third preset pre-registration push number duty cycle, b4 is a fourth preset pre-registration push number duty cycle, and b1 is more than 0 and less than b2 is more than 3 and less than b4 is less than 1;
When a user browses the information of training items of posts different from the work post filled in when the user registers before registering, the training control module marks the training items browsed by the user as amateur training items aiming at the user, counts the times F of the amateur training items browsed by the user in real time, compares the F with the parameters in the preset pre-registering browsing quantity matrix F0, and adjusts the push quantity ratio of the amateur training items when pushing the training items aiming at the user according to the comparison result:
when F is less than or equal to F1, the training control module sets the duty ratio of the amateur training item number in the total number of the training items pushed by the user as b1;
when F1 is less than F and less than or equal to F2, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b2;
when F2 is less than F and less than or equal to F3, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b3;
when F3 is less than F and less than or equal to F4, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b4;
When the training control module sets the number of training items pushed for the user to be Mi "and the training control module sets the ratio of the number of amateur training items to be bj in the total number of training items pushed for the user, j=1, 2,3,4 is set, the training control module marks the number of amateur training items pushed for the user to be mia", and mia "=mi" ×bj is set.
Specifically, when a user browses a plurality of amateur training items belonging to different work posts before entering an entry, the training control module counts the total number of the amateur training items browsed before entering an entry of the user and the proportion of the amateur training items of each work post, and when the statistics is completed, the training control module determines the proportion bj of the amateur training items in the total number of the training items pushed to the user according to the total number of the amateur training items, calculates the number Mib ' of the amateur training items pushed to the user according to the bj, and sequentially determines the pushing number of the amateur training items of each work post in the training item pushing number Mib ' according to the proportion of the amateur training items of each work post in Mib ' and the proportion of the amateur training items of each work post browsed by the user; when the number of the amateur training items is determined, if the push number of the training items belonging to the single working post is a fraction, the training control module rounds the push number downwards.
Specifically, a preset shift number matrix G0 and a preset post-registration push adjustment parameter matrix e0 are further arranged in the training control module; setting G0 (G1, G2, G3 and G4) for the preset shift number matrix G0, wherein G1 is a first preset shift number, G2 is a second preset shift number, G3 is a third preset shift number, G4 is a fourth preset shift number, and the preset shift numbers gradually increase in sequence; setting e0 (e 1, e2, e3, e 4) for the preset post-registration push adjustment parameter matrix e0, wherein e1 is a first preset post-registration push adjustment parameter, e2 is a second preset post-registration push adjustment parameter, e3 is a third preset post-registration push adjustment parameter, and e4 is a fourth preset post-registration push adjustment parameter, e1 is more than 0.5 and less than 1 and e2 is more than 3 and less than 2;
when the user finishes the training shifts in the training project which is the same as the working positions filled in during registration, the training control module counts the number G of shifts registered by the user, compares the number G with the parameters in the preset shift number matrix G0, and adjusts the corrected pushing period Tj' according to the comparison result:
when G is less than or equal to G1 or G is more than G4, the training control module selects e1 to adjust the corrected pushing period Tj';
When G1 is more than G and less than or equal to G2, the training control module selects e2 to adjust the corrected pushing period Tj';
when G2 is smaller than G and smaller than or equal to G3, the training control module selects e3 to adjust the corrected pushing period Tj';
when G3 is more than G and less than or equal to G4, the training control module selects e4 to adjust the corrected pushing period Tj';
when the training control module selects ei to adjust the corrected pushing period Tj ', i=1, 2,3,4 is set, the adjusted training item pushing period is Tj ", and Tj" =tj' ×ei is set.
Specifically, a preset weight coefficient matrix Z0 is further arranged in the training control module, Z0 (Za, zb) is set, wherein Za is a preset training shift weight coefficient, zb is an amateur training shift weight coefficient, za is more than 0 and less than 1, zb is more than 0 and less than 1, and Za+Zb=1;
when the user registers a plurality of shifts and the working positions to which the plurality of shifts belong are different, the training control module counts the number Ga of preset training shifts which are the same as the working positions filled in when the user registers and the number Gb of amateur training shifts which are different from the working positions filled in when the user registers, after counting, the training control module calculates the comparison shift number G ', sets G' =Ga×za+Gb×Zb, after calculating, the training control module compares G 'with the parameters in the preset shift number matrix G0 and adjusts the corrected pushing period Tj' according to the comparison result.
Specifically, a preset training progress matrix L0 and a preset pushing quantity secondary adjustment coefficient matrix u0 are also arranged in the training control module; setting L0 (L1, L2, L3 and L4) for the preset training progress matrix L0, wherein L1 is a first preset training progress, L2 is a second preset training progress, L3 is a third preset training progress, L4 is a fourth preset training progress, and L1 is more than 0 and less than L2 and L3 is more than 0 and less than L4 and less than 1; setting u0 (u 1, u2, u3, u 4) for the preset push quantity secondary adjustment coefficient matrix u0, wherein u1 is a first preset push quantity secondary adjustment coefficient, u2 is a second preset push quantity secondary adjustment coefficient, u3 is a third preset push quantity secondary adjustment coefficient, u4 is a fourth preset push quantity secondary adjustment coefficient, and u4 is more than 0 and less than u3 and less than u1 and less than 1;
when the training control module sets the pushing quantity of the training items for the user as Mi' and the user carries out training, the training control module sequentially counts the completion progress of each training item according to the completion condition of the registered training shift of the user and calculates the total training progress L of the user, and after calculation, the training control module compares the L with the parameters in the preset training progress matrix L0 and adjusts the pushing quantity of the training items for the user according to the comparison result:
When L is less than or equal to L1, the training control module selects a first preset pushing quantity secondary adjustment coefficient u1 to adjust the pushing quantity Mi' of training items;
when L1 is more than L and less than or equal to L2, the training control module selects a second preset pushing quantity secondary adjustment coefficient u2 to adjust the pushing quantity Mi' of the training items;
when L2 is more than L and less than or equal to L3, the training control module selects a third preset pushing quantity secondary adjustment coefficient u3 to adjust the pushing quantity Mi' of the training items;
when L3 is more than L and less than or equal to L4, the training control module selects a fourth preset pushing quantity secondary adjustment coefficient u4 to adjust the pushing quantity Mi' of the training items;
when L is more than L4, the training control module does not adjust the pushing quantity Mi' of the training projects;
when the training control module selects a j-th preset pushing quantity secondary adjustment coefficient uj to adjust the training item pushing quantity Mi ', j=1, 2,3 and 4 are set, the adjusted training item pushing quantity is Mia, and Mia=Mi'. Times.uj is set.
Specifically, a preset time interval matrix t0 and a preset distance standard matrix D0 are further provided in the training control module, t0 (t 1, t2, t3, t 4) is set for the preset time interval matrix t0, wherein t1 is a first preset time interval, t2 is a second preset time interval, t3 is a third preset time interval, t4 is a fourth preset time interval, and the duration of each preset time interval is gradually increased in sequence; setting D0 (D1, D2, D3 and D4) for the preset distance standard matrix D0, wherein D1 is a first preset distance standard, D2 is a second preset distance standard, D3 is a third preset distance standard, D4 is a fourth preset distance standard, and the preset distance standards are gradually increased in sequence;
When the user successfully registers the previous shift and applies for registering the subsequent shift, if the previous shift and the subsequent shift are on the same day, the training control module calculates a time interval t between two shifts, compares t with parameters in the preset time interval matrix t0, and selects a corresponding preset distance standard according to a comparison result:
when t is less than or equal to t1, the training control module sets a preset distance standard to be D1;
when t1 is more than t and less than or equal to t2, the training control module sets a preset distance standard as D2;
when t2 is more than t and less than or equal to t3, the training control module sets a preset distance standard as D3;
when t3 is more than t and less than or equal to t4, the training control module sets a preset distance standard as D4;
when the training control module sets a preset distance standard to Di, setting i=1, 2,3 and 4, comparing the distance D between the previous class starting point and the next class starting point with Di by the training control module, judging that the next class is a recommended registration class by the training control module when D is less than or equal to Di, and judging that the next class is not recommended registration class by the training control module when D is more than Di.
Specifically, when the class time of the previous shift is earlier than the class time of the following shift, the training control module calculates a time interval t between two shifts by selecting the end time of the previous shift and the class time of the following shift; when the class time of the previous shift is later than the class time of the subsequent shift, the training control module calculates the time interval t between the two shifts by selecting the end time of the subsequent shift and the class time of the previous shift.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
The foregoing description is only of the preferred embodiments of the invention and is not intended to limit the invention; various modifications and variations of the present invention will be apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims (10)

1. The training project recommending method based on WeChat public number training registration is characterized by comprising the following steps of:
step a, a user registers, and when a student registration module receives registration information input by the user, student information is generated, wherein the student information generated by the student registration module comprises student name, sex, unit identification code, working post, post level and working place;
Step b, when the user does not actively register for the training items within the preset duration, the training recommendation module pushes the corresponding training items to the user according to the working positions and the position levels when the user registers, and screens training shifts in the training items according to the working places of the user; when a user browses or registers a specific item in a preset time period, the training recommendation module adjusts the pushed training item according to the item browsed or registered by the user;
step c, when a user registers for a single training project, if the user does not register for a shift before registering, the training registering module performs data interaction with the training control module when the user finishes registering, when the training control module judges that the registering information of the user accords with the standard, the training control module judges that the registering of the user is successful and sequentially performs data interaction with the training registering module and the registering abnormality processing module, the training registering module arranges each training shift according to the ascending order of the distance between the training shift and the user work unit for the registering result of the user, and the user selects the corresponding training shift in the training project according to the generated result;
step d, when a user registers a single training item, if the user has registered a shift before registering, the training control module registers the registered shift as a previous shift and registers the shift in the single training item for completing registration as a following shift, and when the training dates of the previous shift and the following shift exist on the same day, the training control module generates a recommended registration grade for the user according to the distance between the time interval of the previous shift and the following shift on the same day and the shift place;
Step e, when the user finishes the registration, the training control module sequentially adjusts the pushing period of the training items, the types of the pushed training items, the number of the pushed training items and the pushing frequency proportion of each training item according to the number of the training items registered by the user, the number of training shifts in each training item and the completion progress of each training item;
step f, when the user cancels or modifies the registered shift, the registration abnormality processing module performs data interaction with the training control module to ensure the uniqueness and the accuracy of registration information;
the training control module is provided with a preset post matrix group R0, a preset pre-registration push quantity matrix M0 and a preset pre-registration push quantity adjustment parameter matrix a0; setting R0 (R1, R2, R3,..rn) for the preset-post matrix set R0, wherein R1 is a first preset-post matrix, R2 is a second preset-post matrix, R3 is a third preset-post matrix, rn is an nth preset-post matrix, and for the nth preset-post matrix Rn, setting Rn (Rn 1, rn2, rn3, rn 4), wherein Rn1 is an nth-post first preset-post grade, rn2 is an nth-post second preset-post grade, rn3 is an nth-post third preset-post grade, and Rn4 is an nth-post fourth preset-post grade; setting M0 (M1, M2, M3, mn.) for the preset pre-entry push quantity matrix M0, wherein M1 is a first preset pre-entry push quantity, M2 is a second preset pre-entry push quantity, M3 is a third preset pre-entry push quantity, and Mn is an nth preset pre-entry push quantity; setting a0 (a 1, a2, a3, a 4) for the preset pre-registration push quantity adjustment parameter matrix a0, wherein a1 is a first preset pre-registration push quantity adjustment parameter, a2 is a second preset pre-registration push quantity adjustment parameter, a3 is a third preset pre-registration push quantity adjustment parameter, and a4 is a fourth preset pre-registration push quantity adjustment parameter;
When a user is successfully registered and does not register or browse the training items, the training control module selects the corresponding number of training item pushing information aiming at the working positions of the user according to the working positions input during the registration of the user, when the working positions of the user are Ri, the training control module sets the pushing number of the training items aiming at the user as Mi, and when the setting is completed, the training control module adjusts the pushing number Mi of the training items aiming at the user according to the position level of the user:
when the post level of the user is Ri1, the training control module selects a1 to adjust the pushing quantity Mi of training projects aiming at the user;
when the post level of the user is Ri2, the training control module selects a2 to adjust the pushing quantity Mi of the training projects aiming at the user;
when the post level of the user is Ri3, the training control module selects a3 to adjust the pushing quantity Mi of the training projects aiming at the user;
when the post level of the user is Ri4, the training control module selects a4 to adjust the pushing quantity Mi of the training projects aiming at the user;
When the training control module selects aj to adjust the pushing quantity Mi of the training items aiming at the user, j=1, 2,3 and 4 are set, the adjusted pushing quantity of the training items aiming at the user is Mi ', and Mi' =Mi×aj is set.
2. The training program recommendation method based on WeChat public number training registration according to claim 1, wherein the training control module is further provided with a preset initial pushing quantity matrix N0, a preset pushing period matrix T0 and a preset pushing period correction coefficient matrix q0; setting N0 (N1, N2, N3, N4) for the preset initial pushing quantity matrix N0, wherein N1 is a first preset initial pushing quantity, N2 is a second preset initial pushing quantity, N3 is a third preset initial pushing quantity, N4 is a fourth preset initial pushing quantity, and the preset initial pushing quantities gradually increase in sequence; setting T0 (T1, T2, T3 and T4) for the preset push period matrix T0, wherein T1 is a first preset push period, T2 is a second preset push period, T3 is a third preset push period, T4 is a fourth preset push period, and the time intervals of the preset push periods gradually increase in sequence; setting q0 (q 1, q2, q3, q 4) for the preset push period correction coefficient matrix q0, wherein q1 is a first preset push period correction coefficient, q2 is a second preset push period correction coefficient, q3 is a third preset push period correction coefficient, and q4 is a fourth preset push period correction coefficient;
When the training control module sets the pushing quantity of the training items aiming at the user as Mi ', the training control module compares Mi' with parameters in the preset initial pushing quantity matrix N0 and selects a training item pushing period aiming at the user according to a comparison result:
when Mi' is less than or equal to N1, the training control module sets a training project pushing period for the user to be T1;
when N1 is more than Mi' and less than or equal to N2, the training control module sets the training project pushing period for the user to be T2;
when N2 is less than Mi' and less than or equal to N3, the training control module sets the training project pushing period for the user to be T3;
when N3 is less than Mi' and less than or equal to N4, the training control module sets the training project pushing period for the user to be T4;
when the training control module sets the training project pushing period aiming at the user as Tj, j=1, 2,3,4 is set, the training control module corrects the Tj according to the post grade when the user registers, when the post grade when the user registers is Rik, k=1, 2,3,4 is set, the training control module selects qk to adjust the Tj, the adjusted pushing period is Tj ', and Tj' =Tj×qk is set.
3. The training program recommendation method based on WeChat public number training registration according to claim 2, wherein the training control module is further provided with a pre-registration duration matrix ta0 and a pre-registration push number correction coefficient matrix c0; setting ta0 (ta 1, ta2, ta3, ta 4) for the preset pre-registration time length matrix ta0, wherein ta1 is a first preset pre-registration time length, ta2 is a second preset pre-registration time length, ta3 is a third preset pre-registration time length, ta4 is a fourth preset pre-registration time length, and the pre-registration time lengths gradually increase in sequence; setting c0 (c 1, c2, c3, c 4) for the preset pre-registration push number correction coefficient matrix c0, wherein c1 is a first preset pre-registration push number correction coefficient matrix, c2 is a second preset pre-registration push number correction coefficient matrix, c3 is a third preset pre-registration push number correction coefficient matrix, c4 is a fourth preset pre-registration push number correction coefficient matrix, c1 is more than 0 and less than c2 is more than 1 and less than c3 is more than c4 and less than 1.5;
when the training control module sets the pushing quantity of the training items for the user as Mi', the training control module corrects the pushing quantity of the training items according to the comparison result of the time length ta between the completion of the registration of the user and the push of the training items for the user and the parameters in the preset pre-registration time length matrix ta 0:
When ta is less than or equal to ta1 or ta is more than ta4, the training control module corrects the pushing quantity of the training items to Mi' by using c 1;
when ta1 is more than ta and less than or equal to ta2, the training control module corrects the pushing quantity of the training items to Mi' by using c 2;
when ta2 is less than ta and less than or equal to ta3, the training control module corrects the pushing quantity of the training items to Mi' by using c 3;
when ta3 is less than ta and less than or equal to ta4, the training control module corrects the pushing quantity of the training items to Mi' by using c 4;
when the training control module uses cj to set the pushing quantity of the training items as Mi ' for correction, j=1, 2,3 and 4 are set, the corrected pushing quantity is Mi ', mi ' =Mi ' ×cj is set, and after correction is completed, the training control module readjusts the training item pushing period for the user according to Mi '.
4. The training program recommendation method based on WeChat public number training registration according to claim 3, wherein the training control module is further provided with a preset pre-registration browsing quantity matrix F0 and a preset pre-registration pushing quantity duty ratio matrix b0; setting F0 (F1, F2, F3 and F4) for the preset pre-registration browsing quantity matrix F0, wherein F1 is a first preset pre-registration browsing quantity, F2 is a second preset pre-registration browsing quantity, F3 is a third preset pre-registration browsing quantity, F4 is a fourth preset pre-registration browsing quantity, and the pre-registration browsing quantities gradually increase in sequence; setting b0 (b 1, b2, b3, b 4) for the preset pre-registration push number duty cycle matrix b0, wherein b1 is a first preset pre-registration push number duty cycle, b2 is a second preset pre-registration push number duty cycle, b3 is a third preset pre-registration push number duty cycle, b4 is a fourth preset pre-registration push number duty cycle, and b1 is more than 0 and less than b2 is more than 3 and less than b4 is less than 1;
When a user browses the information of training items of posts different from the work post filled in when the user registers before registering, the training control module marks the training items browsed by the user as amateur training items aiming at the user, counts the times F of the amateur training items browsed by the user in real time, compares the F with the parameters in the preset pre-registering browsing quantity matrix F0, and adjusts the push quantity ratio of the amateur training items when pushing the training items aiming at the user according to the comparison result:
when F is less than or equal to F1, the training control module sets the duty ratio of the amateur training item number in the total number of the training items pushed by the user as b1;
when F1 is less than F and less than or equal to F2, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b2;
when F2 is less than F and less than or equal to F3, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b3;
when F3 is less than F and less than or equal to F4, the training control module sets the duty ratio of the amateur training items in the total number of the training items pushed by the user as b4;
When the training control module sets the number of training items pushed for the user to be Mi "and the training control module sets the ratio of the number of amateur training items to be bj in the total number of training items pushed for the user, j=1, 2,3,4 is set, the training control module marks the number of amateur training items pushed for the user to be mia", and mia "=mi" ×bj is set.
5. The method according to claim 4, wherein when the user browses a plurality of the amateur training items belonging to different work posts before the registration, the training control module counts the total number of the amateur training items browsed before the registration of the user and the ratio of the number of the amateur training items of each work post, and when the statistics is completed, the training control module determines the ratio bj of the number of the amateur training items in the total number of the training items to be browsed for the user according to the total number of the amateur training items, calculates the number Mib 'of the amateur training items to be browsed for the user according to the bj, and sequentially determines the push number of the amateur training items of each work post in the training item push number Mib' according to the ratio of the number of the amateur training items of each work post, wherein the push number of the amateur training items of each work post is the same as the ratio of the total number of the amateur training items of the work post browsed by the user; when the number of the amateur training items is determined, if the push number of the training items belonging to the single working post is a fraction, the training control module rounds the push number downwards.
6. The training program recommendation method based on WeChat public number training registration according to claim 4, wherein the training control module is further provided with a preset shift number matrix G0 and a preset post-registration push adjustment parameter matrix e0; setting G0 (G1, G2, G3 and G4) for the preset shift number matrix G0, wherein G1 is a first preset shift number, G2 is a second preset shift number, G3 is a third preset shift number, G4 is a fourth preset shift number, and the preset shift numbers gradually increase in sequence; setting e0 (e 1, e2, e3, e 4) for the preset post-registration push adjustment parameter matrix e0, wherein e1 is a first preset post-registration push adjustment parameter, e2 is a second preset post-registration push adjustment parameter, e3 is a third preset post-registration push adjustment parameter, and e4 is a fourth preset post-registration push adjustment parameter, e1 is more than 0.5 and less than 1 and e2 is more than 3 and less than 2;
when the user finishes the training shifts in the training project which is the same as the working positions filled in during registration, the training control module counts the number G of shifts registered by the user, compares the number G with the parameters in the preset shift number matrix G0, and adjusts the corrected pushing period Tj' according to the comparison result:
When G is less than or equal to G1 or G is more than G4, the training control module selects e1 to adjust the corrected pushing period Tj';
when G1 is more than G and less than or equal to G2, the training control module selects e2 to adjust the corrected pushing period Tj';
when G2 is smaller than G and smaller than or equal to G3, the training control module selects e3 to adjust the corrected pushing period Tj';
when G3 is more than G and less than or equal to G4, the training control module selects e4 to adjust the corrected pushing period Tj';
when the training control module selects ei to adjust the corrected pushing period Tj ', i=1, 2,3,4 is set, the adjusted training item pushing period is Tj ", and Tj" =tj' ×ei is set.
7. The training program recommendation method based on WeChat public number training registration according to claim 6, wherein the training control module is further provided with a preset weight coefficient matrix Z0, and Z0 (Za, zb) is set, wherein Za is a preset training shift weight coefficient, zb is an amateur training shift weight coefficient, 0 < Za < 1, 0 < Zb < 1, and za+zb=1;
when the user registers a plurality of shifts and the working positions to which the plurality of shifts belong are different, the training control module counts the number Ga of preset training shifts which are the same as the working positions filled in when the user registers and the number Gb of amateur training shifts which are different from the working positions filled in when the user registers, after counting, the training control module calculates the comparison shift number G ', sets G' =Ga×za+Gb×Zb, after calculating, the training control module compares G 'with the parameters in the preset shift number matrix G0 and adjusts the corrected pushing period Tj' according to the comparison result.
8. The training program recommendation method based on the WeChat public number training registration according to claim 6, wherein a preset training progress matrix L0 and a preset pushing quantity secondary adjustment coefficient matrix u0 are further arranged in the training control module; setting L0 (L1, L2, L3 and L4) for the preset training progress matrix L0, wherein L1 is a first preset training progress, L2 is a second preset training progress, L3 is a third preset training progress, L4 is a fourth preset training progress, and L1 is more than 0 and less than L2 and L3 is more than 0 and less than L4 and less than 1; setting u0 (u 1, u2, u3, u 4) for the preset push quantity secondary adjustment coefficient matrix u0, wherein u1 is a first preset push quantity secondary adjustment coefficient, u2 is a second preset push quantity secondary adjustment coefficient, u3 is a third preset push quantity secondary adjustment coefficient, u4 is a fourth preset push quantity secondary adjustment coefficient, and u4 is more than 0 and less than u3 and less than u1 and less than 1;
when the training control module sets the pushing quantity of the training items for the user as Mi' and the user carries out training, the training control module sequentially counts the completion progress of each training item according to the completion condition of the registered training shift of the user and calculates the total training progress L of the user, and after calculation, the training control module compares the L with the parameters in the preset training progress matrix L0 and adjusts the pushing quantity of the training items for the user according to the comparison result:
When L is less than or equal to L1, the training control module selects a first preset pushing quantity secondary adjustment coefficient u1 to adjust the pushing quantity Mi' of training items;
when L1 is more than L and less than or equal to L2, the training control module selects a second preset pushing quantity secondary adjustment coefficient u2 to adjust the pushing quantity Mi' of the training items;
when L2 is more than L and less than or equal to L3, the training control module selects a third preset pushing quantity secondary adjustment coefficient u3 to adjust the pushing quantity Mi' of the training items;
when L3 is more than L and less than or equal to L4, the training control module selects a fourth preset pushing quantity secondary adjustment coefficient u4 to adjust the pushing quantity Mi' of the training items;
when L is more than L4, the training control module does not adjust the pushing quantity Mi' of the training projects;
when the training control module selects a j-th preset pushing quantity secondary adjustment coefficient uj to adjust the training item pushing quantity Mi ', j=1, 2,3 and 4 are set, the adjusted training item pushing quantity is Mia, and Mia=Mi'. Times.uj is set.
9. The training program recommendation method based on WeChat public number training registration according to claim 1, wherein a preset time interval matrix t0 and a preset distance standard matrix D0 are further arranged in the training control module, t0 (t 1, t2, t3, t 4) is set for the preset time interval matrix t0, wherein t1 is a first preset time interval, t2 is a second preset time interval, t3 is a third preset time interval, t4 is a fourth preset time interval, and the duration of each preset time interval is gradually increased in sequence; setting D0 (D1, D2, D3 and D4) for the preset distance standard matrix D0, wherein D1 is a first preset distance standard, D2 is a second preset distance standard, D3 is a third preset distance standard, D4 is a fourth preset distance standard, and the preset distance standards are gradually increased in sequence;
When the user successfully registers the previous shift and applies for registering the subsequent shift, if the previous shift and the subsequent shift are on the same day, the training control module calculates a time interval t between two shifts, compares t with parameters in the preset time interval matrix t0, and selects a corresponding preset distance standard according to a comparison result:
when t is less than or equal to t1, the training control module sets a preset distance standard to be D1;
when t1 is more than t and less than or equal to t2, the training control module sets a preset distance standard as D2;
when t2 is more than t and less than or equal to t3, the training control module sets a preset distance standard as D3;
when t3 is more than t and less than or equal to t4, the training control module sets a preset distance standard as D4;
when the training control module sets a preset distance standard to Di, setting i=1, 2,3 and 4, comparing the distance D between the previous class starting point and the next class starting point with Di by the training control module, judging that the next class is a recommended registration class by the training control module when D is less than or equal to Di, and judging that the next class is not recommended registration class by the training control module when D is more than Di.
10. The training program recommendation method based on the WeChat public number training registration according to claim 9, wherein when the class time of the preceding shift is earlier than the class time of the following shift, the training control module calculates a time interval t between two shifts by selecting an end time of the preceding shift and a class time of the following shift; when the class time of the previous shift is later than the class time of the subsequent shift, the training control module calculates the time interval t between the two shifts by selecting the end time of the subsequent shift and the class time of the previous shift.
CN202011636734.0A 2020-12-31 2020-12-31 Training project recommendation method based on WeChat public number training registration Active CN112767009B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202011636734.0A CN112767009B (en) 2020-12-31 2020-12-31 Training project recommendation method based on WeChat public number training registration

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202011636734.0A CN112767009B (en) 2020-12-31 2020-12-31 Training project recommendation method based on WeChat public number training registration

Publications (2)

Publication Number Publication Date
CN112767009A CN112767009A (en) 2021-05-07
CN112767009B true CN112767009B (en) 2023-07-18

Family

ID=75698063

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202011636734.0A Active CN112767009B (en) 2020-12-31 2020-12-31 Training project recommendation method based on WeChat public number training registration

Country Status (1)

Country Link
CN (1) CN112767009B (en)

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103294816A (en) * 2013-06-09 2013-09-11 广东倍智人才管理咨询有限公司 Method and system for recommending positions for job seeker
CN110020121A (en) * 2017-10-16 2019-07-16 上海交通大学 Software crowdsourcing item recommendation method and system based on transfer learning
CN110427560A (en) * 2019-08-08 2019-11-08 腾讯科技(深圳)有限公司 A kind of model training method and relevant apparatus applied to recommender system
CN112001656A (en) * 2020-09-01 2020-11-27 北京弘远博学科技有限公司 Method for carrying out training course recommendation pertinently based on employee historical training information

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10949909B2 (en) * 2017-02-24 2021-03-16 Sap Se Optimized recommendation engine

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103294816A (en) * 2013-06-09 2013-09-11 广东倍智人才管理咨询有限公司 Method and system for recommending positions for job seeker
CN110020121A (en) * 2017-10-16 2019-07-16 上海交通大学 Software crowdsourcing item recommendation method and system based on transfer learning
CN110427560A (en) * 2019-08-08 2019-11-08 腾讯科技(深圳)有限公司 A kind of model training method and relevant apparatus applied to recommender system
CN112001656A (en) * 2020-09-01 2020-11-27 北京弘远博学科技有限公司 Method for carrying out training course recommendation pertinently based on employee historical training information

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
远程培训中个性化学习资源推荐算法;冯亚丽,于瑞芳,孙龙安,宋新起;《计算机系统应用 》;第第26卷卷(第第8期期);第1-5页 *

Also Published As

Publication number Publication date
CN112767009A (en) 2021-05-07

Similar Documents

Publication Publication Date Title
US10078805B2 (en) Operations management system and related methods
CN100531454C (en) Method and apparatus for an e-commerce message using SMS
US20060149658A1 (en) Construction contract bidding
US20020091782A1 (en) Method for certifying and unifying delivery of electronic packages
CN1836437A (en) Method for charging on-line directory assistance services
CN109741028A (en) Asset management auxiliary shoring system and its management method
US20020178138A1 (en) Synergistic directory-based information management system and method of using
CA2685296A1 (en) System and method for categorizing credit card transaction data
US20050021428A1 (en) Time management system for mobile employees
US20090144382A1 (en) Method for certifying and unifying delivery of electronic packages
CN100421101C (en) Data checking apparatus and checking method
US20120290343A1 (en) Work Order Audit System
CN102137155A (en) Method for handling communication network quality complaints based on customer perception
CN107393046B (en) A kind of method that bluetooth registers system and bluetooth is registered
CN104866626A (en) Method and device for recommending telecommunication service
CN110728567B (en) Electronic invoice reimbursement management system and method
WO2017152787A1 (en) Automatic payment method and device
CN107146179B (en) Training and team-assembling method
CN105930965A (en) Equipment information management method, server and system
CN112767009B (en) Training project recommendation method based on WeChat public number training registration
CN102270199A (en) Information screening method and equipment
US7987123B1 (en) Method and system for providing market analysis for wireless data markets
US8073116B2 (en) Interactive handling of disputes
CN115967697B (en) Mail blacklist sharing method based on blockchain
CN116703330A (en) Management method, device, equipment and storage medium for multi-level business process

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant