CN117056739A

CN117056739A - Matching method, matching device, electronic equipment and computer program product

Info

Publication number: CN117056739A
Application number: CN202310943934.8A
Authority: CN
Inventors: 唐执渊; 陈创章; 莫志杰; 储刘予; 张野; 徐敏学
Original assignee: Guangdong Jinhong Digital Technology Co ltd
Current assignee: Guangdong Jinhong Digital Technology Co ltd
Priority date: 2023-07-28
Filing date: 2023-07-28
Publication date: 2023-11-14

Abstract

The invention provides a matching method, a device, electronic equipment and a computer program product, wherein the matching method comprises the following steps: acquiring matching request information sent by a target user, and determining a four-dimensional capability map of the target user; determining a matching user for the target user according to the matching request information and the four-dimensional capability map of the target user; wherein the four-dimensional capability map of the one matching user is within a matching range of the four-dimensional capability map of the target user; matching the one matching user with the target user; matching the challenge object of the target user through the matching request information and the thinking capability map of the target user, and because the four-dimensional capability map of the matching user is within the matching range of the four-dimensional capability map of the target user, the match of challengers with equivalent matching level of the target user is realized, learning interest data of the user is improved, and the situation that the matched user level difference is large is avoided.

Description

Matching method, matching device, electronic equipment and computer program product

Technical Field

The invention belongs to the technical field of computers, and particularly relates to a matching method, a device, electronic equipment and a computer program product.

Background

At present, various learning training systems are quite many, and users can learn in the learning training systems without being limited by time, place and space when using the systems, but most answer systems on the current line are not used for distinguishing the level of the users, namely PK challenges are not carried out by accurately screening opponents with relatively close level, so that the matched user level difference is large, rolling occurs, and learning interest data of the users are affected.

Disclosure of Invention

In order to overcome the defects in the prior art, the invention provides a matching method, a device, electronic equipment and a computer program product, which are used for solving the problems that the level difference of matched users is large and learning interest data of the users is influenced in the prior art.

One embodiment of the invention provides a matching method, which comprises the following steps:

acquiring matching request information sent by a target user, and determining a four-dimensional capability map of the target user;

determining a matching user for the target user according to the matching request information and the four-dimensional capability map of the target user; wherein the four-dimensional capability map of the one matching user is within a matching range of the four-dimensional capability map of the target user;

And matching the matching user with the target user.

In this embodiment, the challenge object of the target user is matched through the matching request information and the thinking ability of the target user, and the four-dimensional ability of the matching user is in the matching range of the four-dimensional ability of the target user, so that the match is performed on challengers with equivalent matching level of the target user, learning interest data of the user is improved, and the situation that the matching user level difference is large is avoided.

In one embodiment, obtaining matching request information sent by a target user and determining a four-dimensional capability map of the target user includes:

the matching request information comprises unique account information of the target user;

and acquiring knowledge range data, thinking agility data, learning ability data and learning interest data of the target user based on the unique account information of the target user, and generating a four-dimensional energy map of the target user.

In the embodiment, knowledge range data, thinking agility data, learning ability data and learning interest data of the target user are obtained through the unique account number of the target user, so that a thinking ability map of the target user is generated; the answer level of the target user is analyzed, and the target user is ensured to be matched with challengers of corresponding levels.

In one embodiment, the method for generating the four-dimensional capability map of the target user includes the steps of:

acquiring a history answer type of the target user, and analyzing and obtaining knowledge range data of the target user;

acquiring the historical answering time and the historical answering quantity of the target user, and analyzing and obtaining the thinking agility data of the target user;

obtaining a historical wrong question answering result, a historical similar question answering result and a corresponding historical answer amount of the target user, and analyzing to obtain learning ability data of the target user;

and acquiring the historical answer number, the answer time spent in each month and the answer time spent in each day of the target user, and analyzing and obtaining the learning interest data of the target user.

In the embodiment, knowledge range data of the target user is obtained by analyzing the historical answer types of the target user, thinking agile data of the target user is obtained by analyzing the historical answer time and the historical answer amount of the target user, learning ability data of the target user is obtained by analyzing the historical wrong answer results, the historical similar answer results and the corresponding historical answer amounts of the target user, and learning interest data of the target user is obtained by analyzing the historical answer amount, the answer time spent every month and the answer time spent every day of the target user; according to knowledge range data, thinking agility data, learning ability data and learning interest data of the target user, comprehensive analysis of the knowledge level of the target user is achieved, and accurate matching is conducted according to the knowledge level of the target user and a challenger, so that the knowledge level of the matched user is guaranteed to be similar to that of the target user.

The method comprises the steps of obtaining historical answer types of target users, analyzing and obtaining knowledge range data of the target users, and analyzing by collecting knowledge planes of target users participating in answer hunting, wherein the wider the types of hunting are, the wider the knowledge planes are; such as: the method is characterized in that the method comprises the steps that when the animal world question bank is more than 500 times, the animal world is rated as being full of 2.5 times, the ocean world is rated as being 0.25 times when 0-50 times, the science museum is rated as being 0.5 times when 51-100 times, and the museum is rated as being 0.75 times when 101-150 times, and the knowledge range data of a target user is totally rated as being 4 times;

wherein, the historical answering time and the historical answering quantity of the target user are obtained, the thinking agility data of the target user is obtained by analysis, the analysis is performed by collecting the time spent in the historical answering of the target user, the average time is less, the accuracy is high, the thinking agility is illustrated, the analysis is performed on the basis of a certain answering quantity, for example, the answering quantity reaches more than 1000 times, the full score is 10 when the accurate number of times of 3 seconds answering reaches 100%, the answering quantity is less, the answering speed is high and the accuracy is 100 percent,

the method comprises the steps of obtaining a historical wrong question answering result, a historical similar question answering result and corresponding historical answer amounts of a target user, analyzing to obtain learning ability data of the target user, analyzing the wrong question answering result and the similar question answering result of the target user, obtaining the learning ability data based on a certain wrong question answering or similar question answering result analysis, for example, wrong question answering and similar question answering, wherein the accuracy rate reaches 100% on the 500 questions, the learning ability is relatively strong, repeated errors are not made, and the score is relatively high;

The method comprises the steps of obtaining the historical answer number, the answer time spent by each month and the answer time spent by each day of a target user, analyzing the historical answer number, the answer time spent by each month and the answer time spent by each day of the target user to obtain learning interest data of the target user, and analyzing the answer number, the answer time spent by each month and the answer time spent by each day of the target user to indicate that the learning interest is high, for example, a certain answer amount is maintained every day, the answer is participated every day, the activity is high, and the score is also high;

in one embodiment, determining a matching user for the target user based on the matching request information and the four-dimensional capability map of the target user includes:

the matching request information also comprises a time stamp of the matching request;

acquiring at least one request information to be matched in a matching time period, and determining at least one user to be matched with the target user according to the at least one request information to be matched; wherein the timestamp of the matching request is within the matching time period;

and determining a matching user for the target user from at least one user to be matched according to the four-dimensional capability map of the target user.

In this embodiment, since the timestamp of the matching request is in the matching time period, after the target user initiates the matching request, the information of the matching request sent by at least one user to be matched in the matching time period is obtained, so as to determine at least one user to be matched with the target user, and the four-dimensional ability map of the target user is used for matching with the four-dimensional ability map of the at least one user to be matched, so that a matching user is determined for the target user in the at least one user to be matched, accurate matching of the target user is realized, the level of the target user is guaranteed to be equivalent to that of the matching user, and the situation that the level of the matching user is far from that of the target user is avoided, thereby affecting learning interests of the target user and the matching user.

In one embodiment, determining a matching user for the target user from at least one user to be matched according to the four-dimensional capability map of the target user includes:

acquiring knowledge range data, thinking agility data, learning ability data and learning interest data of at least one user to be matched, and obtaining a four-dimensional energy map of the at least one user to be matched;

Matching the four-dimensional capability map of at least one user to be matched with the four-dimensional capability map of the target user;

and if one or more of knowledge range data, thinking agility data, learning ability data and learning interest data of only one user to be matched exist in at least one user to be matched, determining the one user to be matched as the one matching user when one or more of knowledge range data, thinking agility data, learning ability data and learning interest data of the one user to be matched meet the matching range of the four-dimensional ability map of the target user.

In this embodiment, knowledge range data, thinking agility data, learning ability data and learning interest data of at least one user to be matched are obtained, so that four-dimensional capability map of at least one user to be matched is obtained, and the four-dimensional capability map of at least one user to be matched is matched with the four-dimensional capability map of the target user, so that matching users with the same accurate matching level to the target user are realized, competition and challenge are performed, and learning interest of the user is stimulated.

In one embodiment, the method further comprises:

if the four-dimensional capability map of a plurality of users to be matched in at least one user to be matched meets the matching range of the four-dimensional capability map of the target user;

And determining a matching user for the target user from the plurality of users to be matched according to the total matching field number of the target user and the latest 10 field rates of the target user.

In this embodiment, after matching is performed according to the four-dimensional capability map of the target user, when there are multiple users to be matched that meet the matching range of the four-dimensional capability map of the target user, the multiple users to be matched are matched through the total matching field number of the target user and the latest 10 field rates of the target user, and further the level of the target user and the level of the users to be matched are matched, so that the matched level of the matched user is ensured to be closer to the level of the target user, and the matching accuracy is improved.

When the target user performs matching opponents, the matching can be performed according to a four-dimensional energy map, and the difference score of each item of knowledge range data, thinking agility data, learning ability data and learning interest data is not more than 1, so that the explanation level is relatively close, and the matching can be performed preferentially. If the capacity difference of the four items is less than 1, the condition is relaxed in sequence until the opponent is matched, for example, one item is less than 2, and the other three items are less than 1. When four-dimensional energy map is matched with a plurality of opponents, screening is needed according to the total matching field number and the latest 10 field winning rates, sorting is sequentially conducted according to the total matching field number and the latest 10 field winning rates, and opponents which are close to a target user are obtained;

In one embodiment, determining a matching user from the plurality of users to be matched according to the total matching field number of the target user, further includes:

if only one to-be-matched user exists in the plurality of to-be-matched users, determining the to-be-matched user as the one to-be-matched user when the total number of the to-be-matched users meets the matching range of the total number of the target users;

if the total matching field number of at least two users to be matched in the plurality of users to be matched meets the matching range of the total matching field number of the target user, determining a matching user for the target user from the at least two users to be matched according to the latest 10 field rates of the target user.

In this embodiment, after matching is performed according to the four-dimensional capability map of the target user, when there are a plurality of users to be matched that satisfy the matching range of the four-dimensional capability map of the target user, the plurality of users to be matched are sequentially matched through the total number of matching fields of the target user and the latest 10 field rates of the target user, so as to achieve a logical and hierarchical matching effect, optimize the overall matching algorithm, improve the matching efficiency, and ensure the matching accuracy.

In one embodiment, the method further comprises:

obtaining winning field number data in the latest 10 fields of a target user, and generating the latest 10 field winning rate of the target user;

and generating a question answering level model of the target user according to the four-dimensional energy map of the target user, the total matching field number and the latest 10 field success rate.

In this embodiment, by acquiring the four-dimensional capability map of the target user, the total matching field number of the target user and the latest 10 field rates of the user, an answer level model of the target user is generated, so as to achieve matching of matching users corresponding to the target user level according to the answer level model of the target user.

In one embodiment, the method further comprises:

generating the answer difficulty of the target user according to the four-dimensional ability map of the target user and the answer accuracy of the target user; determining a first question to be set according to the answer difficulty of the target user and a question difficulty ranking table;

generating answer difficulties of the matched users according to the four-dimensional ability diagrams of the matched users and the answer accuracy of the matched users; determining a second question to be set according to the answer difficulty and the question difficulty ranking table of the matched user;

obtaining questions from the first questions to be addressed and the second questions to be addressed respectively according to the number average of the questions to be addressed, and obtaining questions to be addressed;

And respectively sending the questions to the target user and the matched user for answering.

In the embodiment, obtaining the answer difficulty of the target user through the thinking ability diagram of the target user and the answer accuracy of the target user, and determining a first to-be-addressed question according to the answer difficulty of the target user and a question difficulty ranking table; obtaining the answer difficulty of the matched user through the thinking ability diagram of the matched user and the answer accuracy of the matched user, and determining a second question to be set according to the answer difficulty of the matched user and the question difficulty ranking table; and according to the number of questions to be paid, half of the questions are obtained from the first questions to be paid and the second questions to be paid on average respectively, the questions to be paid are obtained, and the questions to be paid are sent to the target user and the matching user for answering, so that the target user and the matching user can answer questions challenge, the questions with corresponding difficulties can be accurately matched according to the level of the target user and the level of the matching user, the questions to be paid can be sent to the target user and the matching user for answering, the condition of overdriving the questions is avoided, the learning interests of the target user and the matching user are influenced, the progressive level of the target user and the level of the matching user are stably improved, the fair questions are achieved, and the effect of accurately matching the questions is achieved.

In one embodiment, the determining the answer difficulty of the target user according to the four-dimensional capability map of the target user and the answer accuracy of the target user includes: determining a first answer difficulty score of the target user according to the comprehensive scores of the knowledge range data, the thinking agility data and the learning ability data of the target user; obtaining the answer accuracy of the target user according to the total answer number and the correct answer total number of the target user, and determining a second answer difficulty score of the target user according to the answer accuracy of the target user; determining the answer difficulty of the target user according to the first answer difficulty score of the target user and the second answer difficulty score of the target user;

the generating the answer difficulty of the matching user according to the four-dimensional ability map of the matching user and the answer accuracy of the matching user comprises the following steps: determining a first answer difficulty score of the matched user according to the comprehensive scores of the knowledge range data, the thinking agility data and the learning ability data of the matched user; obtaining the answer accuracy of the matched user according to the total answer number and the correct answer total number of the matched user, and determining a second answer difficulty score of the matched user according to the answer accuracy of the matched user; and determining the answer difficulty of the matched user according to the first answer difficulty score of the matched user and the second answer difficulty score of the matched user.

In this embodiment, the answer difficulty of the target user is determined according to the first answer difficulty score and the second answer difficulty score of the target user, and the answer difficulty of the matching user is determined according to the first answer difficulty score and the second answer difficulty score of the matching user, so that the answer difficulty of the matching user is determined, the answer levels of the target user and the matching user are comprehensively scored, and the answer difficulties of the target user and the matching user are accurately obtained.

The questions in the question bank are classified into difficulty degrees, the difficulty value of each question is initialized to 0-10, the larger the numerical value is, the larger the question difficulty is, when the questions enter the question bank, the difficulty value label is defined for each question, and accordingly the relation between the answer questions and the difficulty value is achieved. When the target user answers, the system detects four-dimensional capability map and answering amount of the target user,

when the answer amount is small and the accuracy is low, a second answer difficulty score is obtained, the system gives priority to the questions with low difficulty, or when the answer amount is increased and the accuracy is improved, a second answer difficulty score is obtained, and the system gives priority to the questions with larger difficulty coefficients.

In one embodiment, the determining the first question to be placed according to the answer difficulty and the question difficulty ranking table of the target user includes: associating the questions with the difficulty values, and sorting according to the difficulty values of the questions to obtain the question difficulty ranking table; determining the question difficulty corresponding to the question difficulty of the target user from the question difficulty ranking table based on the question difficulty of the target user; obtaining the answer type ratio of the target user according to the total answer number and the answer type of the target user; determining a first question to be given from the corresponding question difficulty according to the answer type ratio of the target user;

The step of determining the first question to be set according to the answer difficulty and the question difficulty ranking table of the matched user comprises the following steps: associating the questions with the difficulty values, and sorting according to the difficulty values of the questions to obtain the question difficulty ranking table; determining the question difficulty corresponding to the answer difficulty of the matched user from the question difficulty ranking table based on the answer difficulty of the matched user; obtaining the answer type ratio of the matched user according to the total answer number and the answer type of the matched user; and determining a second question to be set from the corresponding question difficulty according to the answer type ratio of the matched user.

In this embodiment, when the answer is put in storage, the answer is associated with the difficulty value, the answer difficulty ranking table is obtained by sorting the answer associated with the difficulty value according to the difficulty value, the answer difficulty corresponding to the answer difficulty is determined from the answer difficulty ranking table according to the answer difficulty of the target user and the answer difficulty of the matching user, the answer question is determined from the corresponding answer difficulty according to the answer type ratio of the target user and the answer type ratio of the matching user, and accordingly balanced answer is achieved according to the answer levels and types of the target user and the matching user, so that knowledge surfaces of the target user and the matching user can be comprehensively expanded, influence on learning interests of the target user and the matching user due to mismatching of the answer difficulty and the answer levels of the target user and the matching user is avoided, and the situation of the bias is prevented, so that the target user and the matching user can be comprehensively expanded is ensured.

When the uneven distribution of the knowledge range on the answer amounts of the target user and the matched user is detected, the system can prioritize the uniform questions, so that the knowledge surfaces of the target user and the matched user can be comprehensively expanded.

One embodiment of the present invention further provides a matching device, including:

the acquisition module is used for acquiring the matching request information sent by the target user and determining a four-dimensional capability map of the target user;

the determining module is used for determining a matching user for the target user according to the matching request information and the four-dimensional capability map of the target user; wherein the four-dimensional capability map of the one matching user is within a matching range of the four-dimensional capability map of the target user;

and the matching module is used for matching the matching user with the target user.

In this embodiment, the obtaining module, the determining module and the matching module cooperate to match the challenge object of the target user according to the matching request information and the thought capability map of the target user, and because the four-dimensional capability map of the matching user is within the matching range of the four-dimensional capability map of the target user, the challenger with the matching level of the target user can play a match, so as to improve learning interest data of the user, and avoid the situation that the level difference of the matched users is large.

In addition, the advantages and beneficial effects of the matching method are described above, and are not described herein, and since the matching device is used for implementing the matching method, the matching device has the same advantages and beneficial effects.

One embodiment of the present invention further provides an electronic device, including: a processor and a memory;

wherein the memory is used for storing computer execution instructions;

a processor for executing computer-executable instructions stored in a memory to perform the steps of the matching method as described in any one of the embodiments above.

In this embodiment, the advantages and beneficial effects of the matching method are described above, and are not described herein, and since the electronic device is used to implement the matching method, the matching device has the same advantages and beneficial effects.

An embodiment of the invention also provides a computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the matching method according to any of the embodiments above.

In this embodiment, the advantages and benefits of the matching method are described above, and are not described herein, and since the computer program product is used to implement the matching method, the matching device also has the same advantages and benefits.

Drawings

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to the structures shown in these drawings without inventive effort for a person skilled in the art.

Fig. 1 is a schematic workflow diagram of a matching method according to an embodiment of the invention.

Detailed Description

The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are only some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.

It should be noted that, if a directional indication (such as up, down, left, right, front, and rear … …) is involved in the embodiment of the present invention, the directional indication is merely used to explain the relative positional relationship, movement condition, etc. between the components in a specific posture, and if the specific posture is changed, the directional indication is correspondingly changed.

In addition, if there is a description of "first", "second", etc. in the embodiments of the present invention, the description of "first", "second", etc. is for descriptive purposes only and is not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In addition, if "and/or" and/or "are used throughout, the meaning includes three parallel schemes, for example," a and/or B "including a scheme, or B scheme, or a scheme where a and B are satisfied simultaneously. In addition, the technical solutions of the embodiments may be combined with each other, but it is necessary to base that the technical solutions can be realized by those skilled in the art, and when the technical solutions are contradictory or cannot be realized, the combination of the technical solutions should be considered to be absent and not within the scope of protection claimed in the present invention.

Referring to fig. 1, one embodiment of the present invention provides a matching method, which includes the following steps:

s100, acquiring matching request information sent by a target user, and determining a four-dimensional capability map of the target user;

S200, determining a matching user for the target user according to the matching request information and the four-dimensional capability map of the target user; wherein the four-dimensional capability map of the one matching user is within a matching range of the four-dimensional capability map of the target user;

s300, matching the matching user with the target user.

In this embodiment, the challenge object of the target user is matched through the matching request information and the thought capability map of the target user, and as the four-dimensional capability map of the matching user is within the matching range of the four-dimensional capability map of the target user, the match is performed on challengers with equivalent matching level of the target user, so as to improve learning interest data of the user, and avoid the situation that the matching user level difference is large, wherein the step of acquiring the four-dimensional capability map of the matching user is consistent with the step of acquiring the four-dimensional capability map of the target user.

The method comprises the steps of obtaining historical answer types of target users, analyzing and obtaining knowledge range data of the target users, and analyzing by collecting knowledge planes of target users participating in answer hunting, wherein the wider the types of hunting are, the wider the knowledge planes are; such as: the method is characterized in that the method comprises the steps that when the animal world question bank is more than 500 times, the animal world is rated as being full of 2.5 times, the ocean world is rated as being 0.25 times when 0-50 times, the science museum is rated as being 0.5 times when 51-100 times, and the museum is rated as being 0.75 times when 101-150 times, and the knowledge range data of a target user is totally rated as being 4 times; the following table shows:

The method comprises the steps of acquiring historical answer time and historical answer quantity of a target user, analyzing to obtain thinking agility data of the target user, analyzing through time spent in acquiring the historical answer of the target user, and analyzing based on a certain answer quantity, wherein the analysis is performed on the basis of a certain answer quantity, for example, when the answer quantity reaches more than 1000 times, and the accurate number of times of 3 seconds of answer reaches 100%, the answer quantity is 10 minutes, the answer quantity is less, the answer speed is high and the accuracy rate is 100% but not the answer is not fully divided, and the following table shows:

the method comprises the steps of obtaining a historical wrong question answering result, a historical similar question answering result and corresponding historical answer amounts of a target user, analyzing to obtain learning ability data of the target user, analyzing the wrong question answering result and the similar question answering result of the target user, obtaining the learning ability data based on a certain wrong question answering or similar question answering result analysis, for example, wrong question answering and similar question answering, wherein the accuracy rate reaches 100% on the 500 questions, the learning ability is relatively strong, repeated errors are not made, and the score is relatively high; the following table shows:

the method comprises the steps of obtaining the historical answer number, the answer time spent by each month and the answer time spent by each day of a target user, analyzing the historical answer number, the answer time spent by each month and the answer time spent by each day of the target user to obtain learning interest data of the target user, and analyzing the answer number, the answer time spent by each month and the answer time spent by each day of the target user to indicate that the learning interest is high, for example, a certain answer amount is maintained every day, the answer is participated every day, the activity is high, and the score is also high; the following table shows:

In one embodiment, the method further comprises:

When the target user performs matching opponents, the matching can be performed according to a four-dimensional energy map, and the difference score of each item of knowledge range data, thinking agility data, learning ability data and learning interest data is not more than 1, so that the explanation level is relatively close, and the matching can be performed preferentially. If the capacity difference of the four items is less than 1, the condition is relaxed in sequence until the opponent is matched, for example, one item is less than 2, and the other three items are less than 1. When four-dimensional energy map is matched with a plurality of opponents, screening is needed according to the total matching field number and the latest 10 field winning rates, sorting is sequentially conducted according to the total matching field number and the latest 10 field winning rates, and opponents which are close to a target user are obtained; the following table shows:

In one embodiment, the method further comprises:

The system detects four-dimensional capability diagrams and answer amounts of the target user and the matched user, and obtains first answer difficulty scores of the target user and the matched user, wherein the first answer difficulty scores are calculated as shown in the following table:

When the answer amount is small and the accuracy is low, a second answer difficulty score is obtained, the system gives priority to the questions with low difficulty, or when the answer amount is increased and the accuracy is improved, a second answer difficulty score is obtained, and the system gives priority to the questions with larger difficulty coefficients. The questions in the question bank are classified into difficulty degrees, the difficulty value of each question is initialized to 0-10, the larger the numerical value is, the larger the question difficulty is, when the questions enter the question bank, the difficulty value label is defined for each question, and accordingly the relation between the answer questions and the difficulty value is achieved. Such as: through the import of the topics in the background, each topic is marked with 1-10 difficulty after being audited, and the topics are imported and then enter a topic random pool. The questions in the random question pool are ordered according to the question difficulty values to obtain a question difficulty ranking table, and the question difficulty values corresponding to the target user answers are determined according to the first answer difficulty scores and the second answer difficulty scores; such as: when the average value is 2.2 according to the first answer difficulty score and the second answer difficulty score, the question difficulty value corresponding to the answer of the target user is 2, and when the average value is 2.8 according to the first answer difficulty score and the second answer difficulty score, the question difficulty value corresponding to the answer of the target user is 2.

When the uneven distribution of the knowledge range on the answer amount of the target user is detected, the system can give priority to the uniform questions, so that the knowledge surface of the target user is comprehensively expanded; the answer type ratio is calculated as follows:

In one embodiment, the method further comprises the step of associating the question difficulty ranking table with a checkpoint to obtain a checkpoint setting table, setting questions according to the checkpoint setting table and the current checkpoint of the target user, wherein the questions of the checkpoint are in change at any time according to the response result of the target user. The gate question list is used for a target user to question according to the question difficulty value corresponding to the gate in the break-over mode, at the moment, the target user does not perform user matching and cannot perform answer challenges with other users, the user can perform matching after clicking the matching mode so as to execute the steps of the matching method according to the embodiment, the matching mode is configured to perform answer challenges with other users, and the break-over mode is configured to be used for the user to break-over independently; before the gate is broken, the gate questions are gradually initialized according to the difficulty level, for example, 20 gates, the 1-2 gate question difficulty is 1, the 3-4 gate question difficulty is 2, and the 19-20 gate question difficulty is 10. The following table shows:

when a wrong question (such as a question A) is answered by a target user, the question A of the current checkpoint is recovered to a question pool, the question A is marked as the wrong question of the target user and cached, the priority of the subsequent checkpoint of the target user, after the wrong question is answered, the question of the current checkpoint is refreshed again, and the refresh logic is used for randomly selecting a question with the same difficulty from a question library which is not answered by the target user. The difficulty of the subject is gradually increased, curiosity, competition and exploration of the user are stimulated, and participation and learning effects are enhanced in the interactive environment. Each time a pass is passed through a gate, the instant point rewards are generated, so that the user can be promoted to positively solve the problem, and the enthusiasm of the user is improved. Animation, music and pictures with scene sense on the gate questions can also increase the interest of the gate, so that the user wants to search for the next question.

wherein the memory is used for storing computer execution instructions;

In the several embodiments provided by the present invention, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described embodiments of the apparatus are merely illustrative, and for example, the division of the modules is merely a logical function division, and there may be additional divisions when actually implemented, for example, multiple modules may be combined or integrated into another system, or some features may be omitted or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with each other may be an indirect coupling or communication connection via some interfaces, devices or modules, which may be in electrical, mechanical, or other forms.

The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical units, may be located in one place, or may be distributed over multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional module in the embodiments of the present application may be integrated in one processing unit, or each module may exist alone physically, or two or more modules may be integrated in one unit. The units formed by the modules can be realized in a form of hardware or a form of hardware and software functional units.

The integrated modules, which are implemented in the form of software functional modules, may be stored in a computer readable storage medium. The software functional module is stored in a storage medium, and includes several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) or a processor (english: processor) to perform some of the steps of the methods according to the embodiments of the application.

It should be understood that the above processor may be a central processing unit (english: central Processing Unit, abbreviated as CPU), or may be other general purpose processors, digital signal processors (english: digital Signal Processor, abbreviated as DSP), application specific integrated circuits (english: application Specific Integrated Circuit, abbreviated as ASIC), or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present application may be embodied directly in a hardware processor for execution, or in a combination of hardware and software modules in a processor for execution.

The memory may comprise a high-speed RAM memory, and may further comprise a non-volatile memory NVM, such as at least one magnetic disk memory, and may also be a U-disk, a removable hard disk, a read-only memory, a magnetic disk or optical disk, etc.

The bus may be an industry standard architecture (Industry Standard Architecture, ISA) bus, an external device interconnect (Peripheral Component, PCI) bus, or an Extended industry standard architecture (Extended 15Industry Standard Architecture, EISA) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, the buses in the drawings of the present application are not limited to only one bus or to one type of bus.

The storage medium may be implemented by any type or combination of volatile or nonvolatile memory devices such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. In the alternative, the storage medium may be integral to the processor. The processor and the storage medium may reside in an application specific integrated circuit (Application Specific Integrated Circuits, ASIC for short). It is also possible that the processor and the storage medium reside as discrete components in an electronic device or a master device.

Those of ordinary skill in the art will appreciate that: all or part of the steps for implementing the method embodiments described above may be performed by hardware associated with program instructions. The foregoing program may be stored in a computer readable storage medium. The program, when executed, performs steps including the method embodiments described above; and the aforementioned storage medium includes: various media that can store program code, such as ROM, RAM, magnetic or optical disks.

The foregoing description is only of the preferred embodiments of the present invention and is not intended to limit the scope of the invention, and all equivalent structural changes made by the description of the present invention and the accompanying drawings or direct/indirect application in other related technical fields are included in the scope of the invention.

Claims

1. A matching method, comprising the steps of:

and matching the matching user with the target user.

2. The matching method of claim 1, wherein obtaining the matching request information transmitted by the target user and determining the four-dimensional capability map of the target user comprises:

3. The matching method of claim 2, wherein the generating of the four-dimensional energy map of the target user based on the knowledge range data of the target user, the thinking agility data of the target user, the learning ability data of the target user, and the learning interest data of the target user, which is obtained based on the unique account information of the target user, comprises:

4. The matching method of claim 1, wherein determining a matching user for said target user based on said matching request information and said target user's four-dimensional capability map comprises:

5. The matching method of claim 4, wherein determining a matching user for the target user from at least one user to be matched based on the four-dimensional capability map of the target user, comprises:

6. The matching method according to any one of claims 1 to 5, further comprising:

7. The matching method of claim 6, wherein determining a matching user for the target user from the plurality of users to be matched based on the total number of matching fields of the target user, further comprising:

8. The matching method according to any one of claims 1 to 5, further comprising:

9. The matching method of claim 8, wherein,

the determining the answer difficulty of the target user according to the four-dimensional capability map of the target user and the answer accuracy of the target user comprises the following steps: determining a first answer difficulty score of the target user according to the comprehensive scores of the knowledge range data, the thinking agility data and the learning ability data of the target user; obtaining the answer accuracy of the target user according to the total answer number and the correct answer total number of the target user, and determining a second answer difficulty score of the target user according to the answer accuracy of the target user; determining the answer difficulty of the target user according to the first answer difficulty score of the target user and the second answer difficulty score of the target user;

10. The matching method of claim 8, wherein,

the determining a first question to be set according to the answer difficulty and the question difficulty ranking table of the target user comprises the following steps: associating the questions with the difficulty values, and sorting according to the difficulty values of the questions to obtain the question difficulty ranking table; determining the question difficulty corresponding to the question difficulty of the target user from the question difficulty ranking table based on the question difficulty of the target user; obtaining the answer type ratio of the target user according to the total answer number and the answer type of the target user; determining a first question to be given from the corresponding question difficulty according to the answer type ratio of the target user;

11. A matching device, comprising:

12. An electronic device, comprising: a processor and a memory;

wherein the memory is used for storing computer execution instructions;

a processor for executing computer-executable instructions stored in memory to perform the steps of the matching method of any one of claims 1 to 10.

13. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the matching method according to any one of claims 1 to 10.