AU2021103999A4

AU2021103999A4 - Occupation recommendation method, apparatus, device and medium

Info

Publication number: AU2021103999A4
Application number: AU2021103999A
Authority: AU
Inventors: Haoyang Li; Zhen XUE
Original assignee: Shanghai Squirrel Classroom Artificial Intelligence Technology Co Ltd
Current assignee: Shanghai Squirrel Classroom Artificial Intelligence Technology Co Ltd
Priority date: 2020-06-09
Filing date: 2021-07-09
Publication date: 2021-10-21
Anticipated expiration: 2029-04-15

Abstract

Disclosed are an occupation recommendation method, apparatus, device and medium. The method includes: a plurality of occupational test questions corresponding to test capacity labels are pushed to a target object; a capacity test result corresponding to the target object is determined according to answer results of the target object to the plurality of occupational test questions; a test capacity label corresponding to a next capacity to be tested is screened out from the test capacity labels according to the capacity test result; the step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object is repeated until a test stop condition is satisfied, and a plurality of capacity test results corresponding to the target object are obtained; candidate occupations corresponding to a target capacity label is determined according to the plurality of capacity test results, where the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels; and a target occupation is screened out from the candidate occupations, and the target occupation is recommended to the target object. 2/7 1.0 P2 0.8 0.6 0.4 0.2- L(b) 0.0 I I I I I -4 -3 -2 -1.~'0 1 2 3 4 b FIG. 3

Description

2/7

1.0

P2 0.8

0.6

0.4

0.2- L(b)

0.0 I I I I I

-4 -3 -2 -1.~'0 1 2 3 4 b

FIG. 3

OCCUPATION RECOMMENDATION METHOD, APPARATUS, DEVICE AND MEDIUM

The present application claims priority to Chinese Patent Application No. 202010516522.2, filed with the CNIPA on Jun. 9, 2020, the disclosure of which is incorporated herein by reference in its entirety.

TECHNICAL FIELD

The present application relates to the technical field of data recommendations, and for example, to an occupation recommendation method, an occupation recommendation apparatus, an occupation recommendation device, and occupation recommendation medium.

BACKGROUND

With the development of data recommendation technologies, occupation recommendation technologies have emerged. According to a conventional occupation recommendation method, interests, hobbies, characters and other conditions of users are tested through a large number of test questions, and therefore a corresponding occupation is recommended for the users with different interests and hobbies or different characters.

However, when the conventional occupation recommendation method is adopted, a condition that a recommended occupation is not matched with the capacity of the user often happens, the user cannot be qualified for the recommended occupation, and therefore a problem that the accuracy of an occupation recommendation is low exists.

SUMMARY

The present application provides an occupation recommendation method, an occupation recommendation apparatus, an occupation recommendation device, and occupation recommendation medium that can improve the accuracy of the occupation recommendation.

The present application provides an occupation recommendation method, which includes the following steps.

A plurality of occupational test questions corresponding to test capacity labels are pushed to a target object, where an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base; a capacity test result corresponding to the target object is determined according to answer results of the target object to the plurality of occupational test questions; a test capacity label corresponding to a next capacity to be tested is screened out from the test capacity labels according to the capacity test result; the step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object is repeated until a test stop condition is satisfied, and a plurality of capacity test results corresponding to the target object are obtained; candidate occupations corresponding to a target capacity label is determined according to the plurality of capacity test results, where the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels; and a target occupation is screened out from the candidate occupations, and the target occupation is recommended to the target object.

The present application further provides an occupation recommendation apparatus. The apparatus includes a pushing module, a Determining module, a screening module, a repetition module and a recommendation module. The pushing module is configured to push a plurality of occupational test questions corresponding to test capacity labels to a target object; where an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base. The Determining module is configured to determine a capacity test result corresponding to the target object according to answer results of the target object to the plurality of occupational test questions. The screening module is configured to screen out a test capacity label corresponding to a next capacity to be tested from the test capacity labels according to the capacity test result. The repetition module is configured to repeat a step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object until a test stop condition is satisfied, and obtain a plurality of capacity test results corresponding to the target object. The Determining module is further configured to determine candidate occupations corresponding to a target capacity label according to the plurality of capacity test results, where the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels. The recommendation module is configured to screen out a target occupation from the candidate occupations, and recommend the target occupation to the target object.

The present application further provides a computer device. The computer device includes a memory and a processor. The memory stores a computer program, and the computer program, when executed by the processor, implements the following steps: a plurality of occupational test questions corresponding to test capacity labels are pushed to a target object, where an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base; a capacity test result corresponding to the target object is determined according to answer results of the target object to the plurality of occupational test questions; a test capacity label corresponding to a next capacity to be tested is screened out from the test capacity labels according to the capacity test result; the step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object is repeated until a test stop condition is satisfied, and a plurality of capacity test results corresponding to the target object are obtained; candidate occupations corresponding to a target capacity label is determined according to the plurality of capacity test results, where the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels; and a target occupation is screened out from the candidate occupations, and the target occupation is recommended to the target object.

The present application further provides a computer-readable storage medium. The computer-readable storage medium stores a computer program, where the computer program, when executed by a processor, implements the following steps: a plurality of occupational test questions corresponding to test capacity labels are pushed to a target object, where an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base; a capacity test result corresponding to the target object is determined according to answer results of the target object to the plurality of occupational test questions; a test capacity label corresponding to a next capacity to be tested is screened out from the test capacity labels according to the capacity test result; the step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object is repeated until a test stop condition is satisfied, and a plurality of capacity test results corresponding to the target object are obtained; candidate occupations corresponding to a target capacity label is determined according to the plurality of capacity test results, where the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels; and a target occupation is screened out from the candidate occupations, and the target occupation is recommended to the target object.

BRIEF DESCRIPTION OF DRAWINGS

FIG.1 is a diagram of an application environment of an occupation recommendation method in an embodiment;

FIG. 2 is a schematic flowchart of an occupation recommendation method in an embodiment;

FIG. 3 is a schematic principle diagram of a difficulty model in an embodiment;

FIG. 4 (a) is a diagram of an interface of a test version selection page in an embodiment;

FIG. 4(b) is a diagram of an interface of a test answer page in an embodiment;

FIG. 5 is a diagram of an interface of an occupational test report in an embodiment;

FIG. 6 is a diagram of an interface of a thinking and method capacity analysis in an occupational test report in an embodiment;

FIG. 7 is a structural block diagram of an occupation recommendation apparatus in an embodiment; and

FIG. 8 is a diagram of an internal structure of a computer device in an embodiment.

DETAILED DESCRIPTION

The present application will now be described below in conjunction with the accompanying drawings and embodiments. It is to be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.

The occupation recommendation method provided in the present application may be applied to an application environment shown in FIG. 1. A user terminal 110 communicates with a server 120 through a network. The user terminal 110 and the server 120 may each be separately used for performing the occupation recommendation method provided in embodiments of the present application. The user terminal 110 and the server 120 may also be cooperatively used for performing the occupation recommendation method provided in the embodiments of the present application. The user terminal 110 may be, but is not limited to, a personal computer, a laptop, a smartphone, a tablet, and a portable wearable device. The server 120 may be implemented as a stand-alone server or as a server cluster of a plurality of servers.

For example, when the user terminal 110 and the server 120 are cooperatively used for performing the occupation recommendation method provided in the embodiments of the present application, the server 120 pushes a plurality of occupational test questions corresponding to test capacity labels to the user terminal 110 where a target object is located; an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base. The user terminal 110 collects answer results of the target object to the plurality of occupational test questions and transmits the answer result to the server 120. The server 120 determines a capacity test result corresponding to the target object according to the answer result. The server 120 screens out a test capacity label corresponding to a next capacity to be tested from the test capacity labels according to the capacity test result, and pushes a plurality of occupational test questions corresponding to a next test capacity label to the user terminal 110 where the target object is located so as to test a capacity of the target object. The steps are repeated until a test stop condition is satisfied, and then the test is stopped to obtain a plurality of capacity test results corresponding to the target object. The server 120 determines candidate occupations corresponding to the target capacity label according to the plurality of capacity test results, and the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels. The server 120 screens out a target occupation from the candidate occupation, and recommends the target occupation to the user terminal 110 where the target object is located.

According to the method provided by the present application, an occupation recommendation is carried out on the basis of a capacity model, and the capacity model is also referred to as a mode of thinking capacity methodology (MCM) model and is a strategy for splitting learning and thinking to obtain a mode of thinking, a learning capacity and a learning methodology. A corresponding MCM label may be constructed through the MCM model, and the MCM label may also be referred to as the capacity label and is used for distinguishing different modes of thinking, different learning capabilities and different learning methodologies.

In an embodiment, as shown in FIG. 2, an occupation recommendation method is provided, this method being applied to a computer device is taken as an example, the computer device may be the user terminal 110 or the server 120 in FIG. 1, and the occupation recommendation method includes the following steps.

In S202, a plurality of occupational test questions corresponding to test capacity labels are pushed to a target object, where an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base.

The target object may be a user object, which may be a natural person, such as a student. The user object may also be a data object that is processable by the computer device, such as an object represented by a user account.

The capacity label is a category label of the occupational test questions and may be used for representing attribute characteristics of the occupational test questions. The capacity label is also referred to as a mode of thinking capacity methodology (MCM) label. The capacity label includes capacity labels such as a classification discussion thinking, a communication capacity, an estimation capacity, a standard expression capacity, a planning capacity and a rule exploration capacity. A capacity corresponds to a capacity label. One capacity label may correspond to a plurality of occupational test questions. Each occupational test question corresponds to at least one capacity label, and the at least one capacity label corresponding to the each occupational test question is determined through the MCM model. The occupational test questions are used for testing whether a user masters a capacity corresponding to the capacity label.

The test capacity label is a capacity label selected from a plurality of capacity labels. The test capacity label is typically a capacity label with higher appearance frequency in the plurality of occupations. For example, a capacity label with a highest appearance frequency in the plurality of occupations is taken as a test capacity label. For example, appearance frequencies of the plurality of capacity labels in the plurality of occupations are sorted in a descending order, one capacity label of capacity labels with a sorting rank less than a preset rank is randomly selected as the test capacity label, for example, when the preset rank is a fourth rank, and the computer device randomly selects one capacity label from capacity labels corresponding to the first three sorted capacity labels as the test capacity label. Of course, other selection manners are possible, which is not limited in the embodiments of the present application.

The occupational test questions corresponding to the test capacity labels are used for testing whether the target object has a capacity corresponding to the test capacity label. For example, the plurality of occupational test questions under a communication capacity label are used for testing whether the user has a communication capacity corresponding to the communication capacity label.

In an embodiment, the computer device takes the capacity label with the highest appearance frequency as the test capacity label, and quickly determines an occupation matched with the capacity possessed by the user among the plurality of occupations according to the capacity test result corresponding to the test capacity label, that is to say, the user does not need to test the occupational test questions corresponding to each occupation one by one, so that the efficiency of the occupational assessment is ensured.

In an embodiment, when the computer device pushes the occupational test questions to the target object, the occupational test questions may be pushed one by one in sequence. The computer device may push one occupational test question corresponding to the test capacity label to the target object each time, and then determines and pushes a next occupational test question according to an answer result to a current occupational test question answered by the target object. Because answer results of each user for each occupational test question may be different, the computer device may correspondingly adjust subsequent occupational test questions according to answer results of the user, so that occupational test questions required to be answered by each user are different. In this way, occupational test questions matched with the target object may be pushed according to a current capacity of the target object, so that an occupation matched with the capacity of the target object may be quickly positioned in the plurality of occupations without answering each test question corresponding to each occupation one by one.

In an embodiment, the computer device determines a difficulty level for each the occupational test questions corresponding to the test capacity label, for example, the plurality of occupational test questions corresponding to the test capacity labels are divided into different difficulty levels of 1 to 9. The higher the numerical value is, the more difficult a corresponding occupational test question is. The computer device may divide occupational test questions with the difficulty levels at the middle level into occupational test questions with a medium difficulty, for example, occupational test questions with the difficulty level of 4 to 6 are divided into the occupational test questions with the medium difficulty, or occupational test questions with the difficulty level of 3 to 7 into the occupational test questions with the medium difficulty, which is not limited in the embodiments of the present application.

In an embodiment, the computer device takes an occupational test question with the difficulty level satisfying a medium difficulty condition as a first question corresponding to the test capacity labels, where the occupational test question with the difficulty level satisfying the medium difficulty condition is an occupational test question with a difficulty level of 4 to 6, for example. The computer device randomly selects one occupational test question from the occupational test questions with the difficulty level of 4 to 6 and corresponding to the test capacity label, takes the one occupational test question as the first question corresponding to the test capacity labels, and pushes the first question corresponding to the test capacity labels to the user.

Each occupational test question corresponds to at least one capacity label, and for each capacity label corresponding to each occupational test question, each occupational test question has a difficulty level corresponding to each capacity label, that is, for each occupational test question under each capacity label, each occupational test question has a corresponding difficulty level.

In an embodiment, for a difficulty level of each occupational test question and corresponding to one capacity label, the computer device may firstly calculate a difficulty value of each occupational test question and corresponding to the one capacity label, and then map the difficulty value to a corresponding difficulty level. It should be understood that the difficulty value is the greater, the difficulty level to which the difficulty value is mapped is relatively higher; meanwhile, the difficulty value is the smaller, the difficulty level to which the difficulty value is mapped is relatively smaller. The computer device may determine the difficulty value for each occupational test question by a logistic regression algorithm and an expectation maximization (EM) algorithm. The logistic regression algorithm classifies answers of a plurality of users in a true-false manner.

The computer device may prepare training samples in advance, and these training samples include a plurality of user samples and some sample test questions with difficulty values. The difficulty value of the sample test question (the difficulty value of the sample test question and the difficulty value corresponding to the capacity label of the sample test question) here may be obtained by the professionals through experience calculation and is set up manually.

Next, the sample test questions may be tested through the user samples, and a capacity value of each user sample and corresponding to the capacity label is calculated and obtained based on a response of the user samples (the response includes truly answering or falsely answering) and difficulty values of these sample test questions. Regarding how the capacity value is calculated, reference may be made to what is relevant in the later embodiments.

The computer device may acquire occupational test questions with difficulty values which are needed to be determined, the occupational test questions are tested through the plurality of user samples, and thus corresponding responses are obtained. The computer device may construct a corresponding logic function based on a capacity value of each user sample and corresponding to a capacity label of an occupational test question, a response to the occupational test question, and a difficulty value to be calculated of an occupational test question and corresponding to the capacity label. Then a successive multiplication operation is performed on a logic function corresponding to each user sample to construct a target function which may be considered as a difficulty model. The computer device may take a difficulty value when a value of the target function is maximized as the difficulty value corresponding to the capacity label and of this occupational test question.

The following is an example of how to calculate the difficulty value of the occupational test question and corresponding to the capacity label. A probability that an i-th user truly answers an

occupational test question follows a logic function P = P(01 , b)= 1 / (1+ e-D(Oi-b) ) (also

referred to as a response function), where D is a constant 1.7, O9 is a capacity value of the i-th

user and corresponding to the capacity label, and b is a difficulty value of the occupational test question and corresponding to the capacity label of the occupational test question. A probability

of falsely answering an occupational test question is Q, =1-13 =1-1/(1+ e-D(-b)) (may also

be referred to as a response function), where a response of the i-th user to this question is

recorded as pi. If the response of the user is true, then pi= 1. If the response of the user is false,

then pi= 0. A response vector of the n users to this question is U=<u,u 2 ,u 3 ... u, >. A

probability that the response from the computer device to the occupational test question is u is

L(b)=T "'Q-"

Referring to FIG. 3, FIG. 3 is a schematic principle diagram of a difficulty model in an embodiment. When the user answers the occupational test question truly, under different difficulty values, response functions of a second user and a third user are curves similar to P2 and P3 in the FIG. 3 respectively. When the user answers the occupational test question falsely, under different difficulty values, the response function of the first user is a curve similar to Q1 in FIG. 3. The response function reflects a probability of a true answer or a false answer. The computer device may perform a successive multiplication operation on the response functions

L(b)=1 "Qh" corresponding to a group of users to obtain a formula ,that is, a L (b) curve in FIG. 3. The computer device may take a difficulty value corresponding to a peak value of the L(b) curve as the difficulty value corresponding to the capacity label of the occupational test question.

In an embodiment, the computer device determines the difficulty level of each occupational test question and corresponding to the capacity label according to the calculated difficulty value of each occupational test question and corresponding to a capacity label. For example, capacity values of three students under test selected by the computer device and corresponding to a capacity label of an occupational test question are 0.07, 0.25 and 0.09, respectively, and

responses corresponding to the three students under test are <0, 1, 1>, respectively. Thus, it may

be obtained that when L()= Q-takes a maximum value, a corresponding difficulty value b is -0.27, and the difficulty value is standardized to obtain a standardized difficulty value of 0.43. For example, the computer device may determine the difficulty level for the occupational test question with the standardized difficulty value of 0.43 and corresponding to the capacity label into 4. Of course, the computer device may also divide the difficulty levels in other manners, which is not limited in the embodiments of the present application.

In an embodiment, after the user terminal collects the answer result of the user, the answer result is sent to the server. The server determines a second question corresponding to the test capacity labels according to the answer result of the user. For example, when the answer result of the user is that the answer is true, the server pushes an occupational test question with a higher difficulty level than the first question to the user as the second question; and when the answer result of the user is that the answer is false, the server pushes an occupational test question with a lower difficulty level than the first question to the user as the second question.

In an embodiment, after the computer device collects the answer result of the user, a second question corresponding to the test capacity labels is determined according to the answer result of the user. For example, when the answer result of the user is that the answer is true, the computer device pushes an occupational test question with a higher difficulty level than the first question to the user as the second question; and when the answer result of the user is that the answer is false, the computer device pushes an occupational test question with a lower difficulty level than the first question to the user as the second question.

In an embodiment, the computer device sets a push rule for each test capacity label. For example, at most 3 occupational test questions are pushed under each test capacity label. It should be understood that in order to perform a more accurate test on the capacity possessed by the user, for each test capacity label (MCM label), more corresponding occupational test questions, such as 5 questions or 7 questions, may also be pushed, which is not limited in the embodiments of the present application.

In an embodiment, the target object may enter an occupational test page through an application program or a webpage, and occupational test questions are displayed in the occupational test page. It should be understood that before entering the occupational test page, the user may select corresponding test versions according to personal requirements, for example three test versions, namely, a quick version, an in-depth version and a luxury version exist. A number of the test capacity labels tested in different test versions is different. For example, the "Quick version" tests up to 7 test capacity labels; the "In-depth version" tests up to 10 test capacity labels; and the "Luxury version" tests up to 15 test capacity labels, which is not limited in the embodiments of the present application.

In an embodiment, since a number of test capacity labels tested in different test versions is different, a length of test time spent by the user and an accuracy of the test capacity result corresponding to the user may be different in a case where the user selects different test versions to perform occupational tests.

In S204, a capacity test result corresponding to the target object is determined according to answer results of the target object to the plurality of occupational test questions.

The capacity test result is a result of testing the capacity of the user, and the capacity test result may be capacity-mastered and capacity-not-mastered. The answer result is a result corresponding to the user answering the occupational test question, and specifically may be a correct rate of answer, a time of answering and other information. The time of answering may be the time from when the computer device displays the first test question to when the target object has selected or filled the answer. The correct rate of answer may be a difference between an answer selected or filled by the target object and a standard answer. For example, when the answer selected or filled by the target object is same as the standard answer, the correct rate of answer is 100%; when the answer selected or filled by the target object is completely different from the standard answer, the correct rate of answer is 0%; and when the answer filled by the target object is partially same as the standard answer, the correct rate of answer is determined according to a matching degree of the answer filled by the target object and the standard answer.

In an embodiment, when the occupational test question is a choice question, and when an answer option selected by the target object is same as a standard answer option, the correct rate of answer is 100%; and when the answer option selected by the target object is different from the standard answer option, the correct rate of answer is 0%.

In an embodiment, when the occupational test question is a blank filling question or a brief answer question, the computer device performs a word segmentation processing on an answer filled by the user, such as a whole sentence, so as to obtain a corresponding word sequence, and further the computer device may remove virtual words without real meaning or mood assistant words and the like from the word sequence to obtain a keyword set. The computer device may match a plurality of keywords in the extracted keyword set with keywords in a standard answer, and when the keywords in the answer of the target object are same as the keywords in the standard answer, the matching is considered to be successful. The computer device may calculate the matching degree according to a number of the successfully matched keywords in the keywords in the answer of the target object and a number of the keywords in the keyword set, and the matching degree may be regarded as the correct rate of answer.

For example, when the keywords in the answer of the target object are partially same as the keywords in the standard answer, the correct rate of answer determines the matching degree according to a matching number of the keywords in the answer of the target object and the keywords in the standard answer, for example, a total of 4 keywords exists, when three keywords thereof are answered by the target object, the computer device determines that a correct rate of answer of a current occupational test question is 75%.

In an embodiment, the matching degree of the answer filled by the target object and the standard answer, namely the correct rate of answer, may be obtained according to a manual correction. After the computer device acquires the answer filled by the target object, the answer may be pushed to the terminal where the teacher is located. The teacher may correct the answer filled by the target object and determine the matching degree of the answer filled by the target object and the standard answer, so that the correct rate of answer is given and fed back to the computer device. Of course, the computer device may also calculate the matching degree between the answer filled by the target object and the standard answer in other manners, which is not limited in the embodiments of the present application.

In an embodiment, after the user finishes answering the occupational test question corresponding to the test capacity label, that is, after the user terminal collects the answer result of the user, the user terminal sends the answer result to the server. That is, the computer device receives the answer result of the user.

In an embodiment, the computer device adjusts a difficulty of a next occupational test question in real time or adjusts a next test capacity label in real time according to the answer results of the user, such as a correct rate of answer and time of answering. When the user gave a false answer to the occupational test question with a current difficulty, the computer device automatically pushes an occupational test question with a lower difficulty level than the current difficulty, and the occupational test question is used for testing the capacity of the user corresponding to the current test capacity label in a depth way; or, when the user also gave a false answer to the occupational test question with a lower difficulty level under the current test capacity label and the user, namely the user does not have the capacity corresponding to the current test capacity label, the computer device may automatically push an occupational test question under a next test capacity label, so that other capabilities of the user are tested. Therefore, the computer device may automatically adjust the difficulty level and the type of the occupational test questions of the follow-up test according to the answer results of the user, so that the accuracy of matching occupations conforming to respective abilities for the user is ensured.

In an embodiment, the computer device determines a capacity test result of the user based on the received answer result. The computer device determines a number of true answers corresponding to the test capacity label. When the number of true answers is larger than or equal to a preset number, the computer device determines that the capacity test result of the user and corresponding to the test capacity label is capacity-mastered; and when the number of true answers is less than the preset number, the computer device determines that the capacity test result of the user and corresponding to the test capacity label is capacity-not-mastered. The preset number may be a median of a number of the occupational test questions under the test capacity label, that is, when the number of true answers corresponding to the test capacity label exceeds half of the number of the occupational test questions, the corresponding capacity test result is capacity-mastered.

For example, when the computer device pushes 3 occupational test questions under the test capacity label to the target object, and the corresponding preset number may be 2. When the computer device receives 2 true answers of the user, that is, the number of true answers corresponding to the test capacity label exceeds half of the number of the occupational test questions, the capacity test result of the user may be determined to be capacity-mastered; and when the computer device receives 1 true answers of the user, namely, the number of true answers is 1, the capacity test result of the user may be determined to be capacity-not-mastered.

In S206, a test capacity label corresponding to a next capacity to be tested is screened out from the test capacity labels according to the capacity test result.

In an embodiment, the step S206 in which the test capacity label corresponding to the next capacity to be tested is screened out from the test capacity labels according to the capacity test result, includes the following. When the capacity test result corresponding to the target object is capacity-mastered, all occupations corresponding to the test capacity label are formed into a first set, and an appearance frequency of each capacity label except the test capacity labels among capacity labels corresponding to all occupations in the first set is determined, and a capacity label with a highest appearance frequency is taken as a test capacity label corresponding to the next capacity to be tested. When the capacity test result corresponding to the target object is capacity-not-mastered, all occupations except the first set in the occupational information base are formed into a second set, an appearance frequency of each capacity label of capacity labels corresponding to all occupations in the second set is determined, and a capacity label with a highest appearance frequency is taken as a test capacity label corresponding to the next capacity to be tested.

In an embodiment, when it is determined that the capacity test result corresponding to the test capacity label is capacity-mastered according to the answer result corresponding to the test capacity label, the computer device forms all occupations corresponding to the test capacity label into the first set. The computer device counts an appearance frequency of each capacity label except the test capacity labels among capacity labels corresponding to all occupations in the first set, so that the capacity label with the highest appearance frequency is screened out. and the computer device takes the screened capacity label with the highest appearance frequency as a test capacity label corresponding to the next capacity to be tested.

In an embodiment, when it is determined that the capacity test result corresponding to the test capacity label is capacity-not-mastered according to the answer result corresponding to the test capacity label, the computer device forms all occupations except the first set in the occupational information base into the second set. The computer device counts an appearance frequency of each capacity label of capacity labels corresponding to all occupations in the second set, so that the capacity label with the highest appearance frequency is screened out, and the computer device takes the screened capacity label with the highest appearance frequency as the test capacity label corresponding to the next capacity to be tested.

In the above embodiments, the computer device screens out the test capacity label corresponding to the next capacity to be tested from the test capacity labels according to the capacity test result. In this way, the computer device may effectively screen out another occupational test label in the occupation corresponding to the capacity of the target object, so that other capacities of the user may be tested in-depth. According to the method, the computer device progressively screens out occupations matched with the capacities of the user step by step, and the user does not need to test occupational test questions under all capacity labels corresponding to each occupational one by one, so that the efficiency of the occupational test is ensured, and the accuracy of the occupation recommendation is further ensured.

In S208, the step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object is repeated until a test stop condition is satisfied, and a plurality of capacity test results corresponding to the target object are obtained.

The test stop condition is a condition for stopping a current test, and the test stop condition may be that a number of test capacity labels reaches a preset number of labels (such as 5 labels), or a number of all occupational test questions reaches a preset number of questions (such as 15 questions).

In an embodiment, after the computer device screens out the test capacity label corresponding to the next capacity to be tested from the capacity labels, the steps from S202 to S206 are repeatedly performed. When a number of the test capacity labels reaches the preset number of labels or the number of all the occupational test questions reaches the preset number of questions, for example, when the number of the test capacity labels reaches 5 or the number of all the occupational test questions under all the test capacity labels reaches 15, and the test capacity label corresponding to the next capacity to be tested is not acquired any more.

In an embodiment, the computer device determines a capacity test result obtained before the test stop condition is satisfied. For example, the computer device totally provides occupational test questions under 5 test capacity labels, so that the computer device may obtain 5 capacity test results corresponding to the target object, namely the computer device may obtain whether the user has 5 capabilities corresponding to the 5 test capacity labels. The user may master one or more of these capabilities.

In S210, candidate occupations corresponding to a target capacity label is determined according to the plurality of capacity test results.

The target capacity label is the test capacity label corresponding to which the capacity has been mastered by the target object. For example, after a plurality of occupational test questions have been tested, if the user masters 3 capabilities in total, then the test capacity labels corresponding to the 3 capabilities are used as 3 target capacity labels, respectively.

The candidate occupation is an occupation corresponding to the target capacity label, where each occupation corresponds to one or more capacity labels, and when an occupation corresponds to the target capacity label, this occupation may be taken as the candidate occupation.

In an embodiment, after the computer device obtains a plurality of capacity test results corresponding to the target object, the computer device takes a test capacity label, the test result corresponding to which is capacity-mastered, as the target capacity label.

In an embodiment, when a number of the target capacity labels is greater than one, the computer device takes an occupation corresponding to any one of the target capacity labels in the occupational information base as the candidate occupation.

In an embodiment, when a number of the target capacity labels is greater than one, the computer device takes an occupation in the occupational information base and corresponding to a plurality of target capacity labels at a same time as the candidate occupation. That is, the candidate occupation should correspond to a plurality of test capacity labels that the user has mastered respective capacities.

In an embodiment, the computer device takes a test capacity label whose corresponding capacity test result is capacity-not-mastered as a capacity defect label. The computer device takes an occupation which corresponds to the target capacity label and does not correspond to the capacity defect label in the occupational information base as the candidate occupation. That is, a capacity label of the candidate occupation does not correspond to a test capacity label that the user has not mastered a respective capacity.

In S212, a target occupation is screened out from the candidate occupations, and the target occupation is recommended to the target object.

The target occupation is an occupation that the computer device screens out to be recommended to the user. The target occupation may be one or more depending on the screening conditions, which is not limited in the embodiments of the present application.

In an embodiment, the computer device may further calculate a capacity value of a capacity possessed by the user and corresponding to each target capacity label, so as to calculate a matching degree between the user and each candidate occupation by using the capacity value corresponding to each target capacity label and a weight value of each target capacity label.

In an embodiment, the computer device may calculate the capacity value of the user and corresponding to each target capacity label in the following manners. For example, the occupational test question corresponding to the target capacity label include m occupational test questions, and the capacity value arg max L(O) of the user and corresponding to the target 0m

capacity label may be calculated by a formula L(O),P. jQU where Pi represents a

probability of the user truly answering a j-th occupational test question, i.e.,

P =P(O,bj) =1/(1+e D(O-b)) where D is a constant 1.7,E is the capacity value of

the user and corresponding to the target capacity label, and bj is a difficulty value of the j-th occupational test and corresponding to the target capacity label. A probability of falsely

answering an occupational test question is Qi =1-P, =1-1/(1+e D(0-bh)), where a response of the

user to the j-th question is recorded as u;. If the response of the user is true, then uj= 1. If the response of the user is false, then uj= 0. The computer device takes a value of 0 at which L (0) is maximized as the capacity value of the user and corresponding to the target capacity label.

For example, the computer device selects 5 occupational test questions under one target capacity label and difficulty values of the 5 occupational test questions are 0.95, 0.77, 0.83,

0.89and 0.89, respectively, and the user responses to the 5 occupational test questions are u= <0,

1, 1, 0, 1>, respectively, which indicates that the user answers the second question, the third question and the fifth question truly and answers the first question and the fourth question falsely. The computer device may solve the capacity value of the user and corresponding to the

5 1 target capacity label according to L(O)= iPY" Q' 1 Specifically, 0, at which L (0) may be a

maximum value, is taken as the capacity value of the user and corresponding to the target capacity label. For example, when 0 is 1.11, a corresponding standardized capacity value is 0.75, and the standardized capacity value of 0.75 is taken as the capacity value of the user and corresponding to the target capacity label. The standardized capacity value may be obtained by B)= In L(u l [u, In P,+1(1-u, )ln Q,] deriving A range of the capacity value may be a range from 0 to 1, or other ranges, which is not limited in the embodiment of the present application.

In another embodiment, the computer device obtains a comprehensive score of answers corresponding to each target capacity label according to scores of answers to a plurality of occupational test questions under the target capacity label of which the target object has a respective capacity. For example, scores of a plurality of answers corresponding to a plurality of occupational test questions under the target capacity label of the user are 50, 60 and 70, respectively, and a comprehensive score of answers corresponding to the target capacity label for the user may be obtained by calculating an average value after accumulation, that is, the comprehensive score of the answers is 60. A calculation manner of the comprehensive score of the answers is not limited in the present application.

In an embodiment, the computer device determines a weight value for each target capacity label in the capacity labels corresponding to each candidate occupation. The computer device calculates the matching degree between the user and each candidate occupation according to a comprehensive score of answers corresponding to each target capacity label and the weight value of each target capacity label. For example, for each candidate occupation, the computer device may perform a weighted summation operation on the comprehensive score of the answers corresponding to the plurality of target capacity labels corresponding to each candidate occupation and the weight values of the plurality of target capacity labels so as to obtain the matching degree between the target object and the candidate occupation.

In an embodiment, the computer device screens out candidate occupations with a highest matching degree from a plurality of candidate occupations, and takes the candidate occupation with the highest matching degree as the target occupation, namely the occupation recommended to the user by the computer device.

In an embodiment, the computer device ranks a plurality of candidate occupations according to their respective matching degrees, and candidate occupations with ranked orders lower than a preset order are screened out as target occupations. For example, the computer device may take the top three candidate occupations with the highest matching degree as the target occupations of the target object.

In an embodiment, the computer device generates a corresponding occupational test report according to the target occupation and a comprehensive score of answers corresponding to the target capacity label or according to the target occupation and a capacity value corresponding to the target capacity label, and feeds back the occupational test report to the user.

In the occupation recommendation method described above, occupational test questions corresponding to the plurality of test capacity labels are sequentially pushed to the target object, a plurality of capacity test results corresponding to the target object are obtained according to answer results of the target object to the plurality of occupational test questions corresponding to a plurality of test capacity label, thereby determining the candidate occupations corresponding to the target capacity label of which the target object has a respective capacity, and screening the candidate occupations to obtain the target occupation so as to perform the occupation recommendation to the target object. In this way, by pushing the occupational test question corresponding to the test capacity label to the target object to test the corresponding of the user, capacities of the user are tested, so that the target occupations matched with the respective capacities of the user may be screened out from various occupations, the user may be ensured to be competent in the target occupations which are screened out and recommended, and thus the accuracy of the occupation recommendation is greatly improved. Moreover, by screening the test capacity labels step by step, a respective target occupation may be screened out accurately from a plurality of dimensions step by step, and the user does not need to be tested under the occupational test questions corresponding to every occupation one by one, so that the test time cost for the user to answer a large number of complicated or irregular occupational test questions is reduced, whereby not only the efficiency of the occupation recommendation is improved, but also the accuracy of the occupation recommendation is ensured.

In an embodiment, the initial test capacity label in the occupation recommendation method is determined through the following steps: a capacity label corresponding to each occupation of the plurality of occupations in the occupational information base is determined; and an appearance frequency of each capacity label in the plurality of occupations is determined, and a capacity label with a highest appearance frequency is taken as the initial test capacity label.

In an embodiment, a computer device pre-builds a suite of architectures of capacity labels, each capacity label has a respective question bank. Questions in the question bank corresponding to the capacity label may be used for test whether the user masters or has a capacity corresponding to the capacity label. Whether the user has the respective capacity is determined according to a mastering condition of the user on a capacity label. The mastering condition of the user on the capacity label may be determined through the answer results of the user to the respective test questions.

In an embodiment, the plurality of occupations in the occupational information base may include: a teacher, a doctor, a curator, a product manager, a programmer, an authoring singer, a legal practitioner, a translator, an administrative office staff, a journalist, a teacher, a financial worker, and the like, which is not limited in the present application. The computer device assigns, to each of the plurality of occupations in the occupational information base, capacity labels matching the capacity required by the respective occupation. For example, capacity labels assigned by the computer device for the "doctor" occupation include 7 MCM labels, namely a data analysis capacity, a communication capacity, an information screening capacity, an estimation capacity, a scientific knowledge reserve capacity, a deductive reasoning capacity and a classification discussion thinking.

Referring to a table 1, in an embodiment, the computer device assigns, for each occupation of the plurality of occupations in the occupational information base, a corresponding capacity label (MCM label) and a weight value corresponding to each capacity label. For example, capacity labels assigned by the computer device for the "teacher" occupation include 7 MCM labels, namely, a communication capacity, a summarizing capacity, a logical analysis capacity, a scientific knowledge reserve capacity, a classification discussion thinking, a situational imagination and simplification capacity and a cultural learning capacity, and weight values corresponding to these 7 MCM labels are 7, 6, 5, 4, 3, 2 and 1, respectively. The weight value is the higher, the respective capacity is more significant in the occupation. That is, in the "teacher" occupation, a capacity that the user most needs to master is a communication capacity corresponding to the communication capacity label.

In an embodiment, capacity labels assigned by the computer device for the "programmer" occupation include 7 capacity labels, namely, a logical analysis capacity, a rule exploration capacity, a data analysis capacity, a classification discussion thinking, a screening capacity, an overall thinking and a planning capacity, and weight values of these 7 MCM labels are 7, 6, 5, 4, 3, 2 and 1, respectively.

Table 1. A plurality of occupations with corresponding MCM labels and weight values Occupation Mcm label Weight value Teacher Communication capacity 7 Teacher Summarizing capacity 6 Teacher Logical analysis capacity 5 Teacher Scientific knowledge reserve capacity 4 Teacher Classification discussion thinking 3 Teacher Situational Imagination and 2 Simplification Capacity Teacher Cultural learning capacity 1 Programmer Logical analysis capacity 7 Programmer Rule exploration capacity 6 Programmer Data analysis capacity 5 Programmer Classification discussion thinking 4 Programmer Information screening capacity 3 Programmer Overall thinking 2 Programmer Planning capacity 1 Doctor Data analysis capacity 7 Doctor Communication capacity 6 Doctor Information screening capacity 5 Doctor Estimation capacity 4 Doctor Scientific knowledge reserve capacity 3 Doctor Deductive reasoning capacity 2 Doctor Classification discussion thinking 1

In an embodiment, the computer device counts an appearance frequency of each capacity label in a plurality of occupations, for example, in a plurality of occupations of the occupational information base, the communication capacity with an appearance frequency of 15 is the capacity label with the highest appearance frequency, and the computer device takes the communication capacity label as the initial test capacity label.

In an embodiment, the computer device counts an appearance frequency of each capacity label in the plurality of occupations, takes a capacity label that a respective frequency satisfies a high frequency condition as an alternative capacity label, and randomly selects one label from the alternative capacity labels as the initial test capacity label. The condition for a capacity label with a high frequency is satisfied, for example, when the appearance frequency of the capacity label is in the top three. For example, in the plurality of occupations of the occupational information base, the communication capacity appears for 15 times, the logic analysis capacity appears for 12 times, and the information screening capacity appears for 14 times, so that the computer device takes the communication capacity, the logic analysis capacity and the information screening capacity as alternative capacity labels, and randomly selects one capacity label from the alternative capacity labels as the initial test capacity label.

In the above embodiments, the computer device takes the capacity label with a highest appearance frequency as the initial test capacity label, so that the occupational test questions under the initial test capacity label pushed by the computer device may cover a widest range, and the user does not need to be tested under the occupational test questions corresponding to each occupation one by one, that is to say, the occupational test questions under the initial test capacity label may be tested for one of a plurality of abilities required by a maximum number of occupations, so that the efficiency of the occupation test is improved, and the accuracy of the occupation recommendation is further ensured.

In an embodiment, in the step S202, namely, the step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object includes the following. A difficulty level of each occupational test question of the plurality of occupational test questions corresponding to the test capacity labels is determined; an occupational test question with the difficulty level satisfying a medium difficulty condition is taken as a first question corresponding to the test capacity labels, and the first question corresponding to the test capacity labels is pushed to the target object; a second question corresponding to the test capacity labels is determined based on an answer result to the first question corresponding to the test capacity labels; and whether to push a third question corresponding to the test capacity label to the target object is determined according to the answer result to the first question corresponding to the test capacity labels and an answer result to the second question corresponding to the test capacity labels.

In an embodiment, the computer device determines a difficulty level for each occupational test question corresponding to the test capacity label, for example the plurality of occupational test questions corresponding to the test capacity labels are divided into different difficulty levels of 1 to 9. The higher the numerical value is, the more difficult a corresponding occupational test question is. The computer device may divide occupational test questions with intermediate values into occupational test questions with a medium difficulty, for example, occupational test questions with the difficulty level of 4 to 6 are divided into the occupational test questions with the medium difficulty, or occupational test questions with the difficulty level of 3 to 7 into the occupational test questions with the medium difficulty, which is not limited in the embodiments of the present application.

In an embodiment, the computer device collects the answer result of the user. The computer device determines a second question corresponding to the test capacity labels according to the answer result of the user. For example, when the answer result of the user is that the answer is true, the computer device pushes an occupational test question with a higher difficulty level than the first question to the user as the second question; and when the answer result of the user is that the answer is false, the server pushes an occupational test question with a lower difficulty level than the first question to the user as the second question.

In an embodiment, when the computer device pushes 3 occupational test questions corresponding to the test capacity labels in total, the computer device receives an answer result of the user that the first two questions are answered truly by the user, and the computer device determines that the user has mastered the capacity corresponding to the test capacity label, that is, the computer device does not need to push the third question under the test capacity label.

In an embodiment, when the computer device pushes 3 occupational test questions corresponding to the test capacity labels in total, the computer device receives an answer result of the user that the first two questions are answered falsely, and the computer device determines that the user has not mastered the capacity corresponding to the test capacity label, that is, the computer device does not need to push the third question under the test capacity label.

In an embodiment, when the computer device pushes 3 occupational test questions corresponding to the test capacity labels together, the computer device receives an answer result of the user that one question is answered truly and the other question is answered falsely in the first two questions, the computer device pushes a third question under the test capacity label, whereby the capacity of the user is further tested.

In the above embodiments, the computer device pushes the occupational test question corresponding to the test capacity label to the target object. In this way, whether the user has the capacity corresponding to the test capacity label or not may be tested. Because capabilities of the users may be different, the computer device may adjust corresponding occupational test questions in real time so as to achieve the effect of accurately testing the capabilities of the users by using a small number of occupational test questions, that is, the time cost of the users is saved, and the accuracy of occupation recommendation is ensured.

In an embodiment, the step in which the second question corresponding to the test capacity labels is determined based on the answer result to the first question corresponding to the test capacity labels includes the following. An answer score of the first question is calculated according to the answer result to the first question and the difficulty level corresponding to the first question. When the answer score of the first question is greater than or equal to a first threshold value, an occupational test question with a higher difficulty level than the first question is taken as the second question corresponding to the test capacity labels, and the second question corresponding to the test capacity labels is pushed to the target object; and when the answer score is less than the first threshold value, an occupational test question with a lower difficulty level than the first question is taken as the second question corresponding to the test capacity labels, and the second question corresponding to the test capacity labels is pushed to the target object.

The first threshold value is an answer score threshold value preset by the computer device and is a numerical value, such as 60 points.

In an embodiment, the computer device calculates an answer score of the first question based on an answer result and a difficulty level corresponding to the first question, where the answer result includes time of answering and a correct rate of answer. The correct rate of answer is in positive correlation with the answer score, and when the correct rate of answer of the user is higher, a corresponding answer score is higher. A difference between the time of answering and a preset standard time period is in negative correlation with the answer score, and when the difference between the time of answering of the user and the preset standard time period is smaller, a corresponding answer score is higher. The difficulty level of the occupational test question is in positive correlation with the answer score, and when the difficulty level of the occupational test question answered by the user is higher, a corresponding answer score is higher.

In an embodiment, when time of answering of an occupational test question is 40 seconds, a range of the preset standard time period is, for example, 10-30 seconds after the question is pushed by the computer device. A score for a user to give a true answer in 20 seconds is higher than a score for a user to give a true answer in 5 seconds. Therefore, a contingency factor may be considered into the answer score by counting the time of answering, so that the influence on the occupation recommendation by a high answer score obtained when the user does not think or randomly selects one answer may be reduced. Therefore, the occupation recommendation accuracy is improved.

In an embodiment, the computer device calculates out an answer score of the first question, and when the answer score is greater than or equal to the first threshold value, the computer device takes an occupational test question with a higher difficulty level than the first question as the second question corresponding to the test capacity labels, and pushes the second question corresponding to the test capacity labels to the target object. For example, the first question pushed by the computer device under the test capacity label is an occupational test question with the difficulty level of 6, the answer score of the user on the first question is 80, and the computer device pushes the occupational test question with the difficulty level of 7 under the test capacity label to the user.

In an embodiment, the computer device calculates out an answer score of the first question, and when the answer score is less than the first threshold value, the computer device takes an occupational test question with a difficulty level lower than the first question as the second question corresponding to the test capacity labels, and pushes the second question corresponding to the test capacity labels to the target object. For example, the first question pushed by the computer device under the test capacity label is an occupational test question with the difficulty level of 4, the answer score of the user on the first question is 50, and the computer device pushes the occupational test question with the difficulty level of 3 under the test capacity label to the user.

In the above embodiments, the computer device determines the second question corresponding to the test capacity labels according to the answer result and the difficulty level of the first question corresponding to the test capacity labels. In this way, the computer device may adjust corresponding occupational test questions in real time according to an answer condition of the user, so that the effect of accurately testing the capacity of the user by using a small number of occupational test questions is achieved, that is, the time cost of the user is saved, and the accuracy of the occupation recommendation is ensured.

In an embodiment, the capacity test result includes capacity-mastered and capacity-not-mastered, in step S204, the step in which the capacity test result corresponding to the target object is determined according to the answer results of the target object to the plurality of occupational test questions includes the following. A number of true answers corresponding to the test capacity labels is determined according to answer results corresponding to the test capacity labels; it is determined that the capacity test result corresponding to the target object is capacity-mastered when the number of the true answers is greater than or equal to a second threshold value; and it is determined that the capacity test result corresponding to the target object is capacity-not-mastered when the number of the true answers is less than the second threshold value.

The second threshold value is a number of times preset by the computer device and is a numerical value, such as 2 times.

In an embodiment, the computer device determines a number of true answers corresponding to the test capacity labels according to the answer results corresponding to the test capacity labels. For example, if the computer device pushes three occupational test questions corresponding to the test capacity labels, a number of true answers may be 0, 1 or 2, respectively.

In an embodiment, the computer device pushes 2 occupational test questions corresponding to the test capacity labels in total, and the number of the true answers of the user is 2. Since the number of the true answers is equal to the second threshold value, and at this time, the computer device determines that the user has mastered the capacity corresponding to the test capacity label. When the computer device pushes 2 occupational test questions corresponding to the test capacity labels in total, and the number of true answers of the user is 0. Since the number of the true answers is less than the second threshold value, and at this time, the computer device determines that the user has not mastered the capacity corresponding to the test capacity label.

In an embodiment, the computer device pushes 3 occupational test questions corresponding to the test capacity labels in total, and the number of the true answers of the user is 2. Since the number of the true answers is equal to the second threshold value, and at this time, the computer device determines that the user has mastered the capacity corresponding to the test capacity label. When the computer device pushes 3 occupational test questions corresponding to the test capacity labels in total, and the number of the true answers of the user is 1. Since the number of the true answers is less than the second threshold value, and at this time, the computer device determines that the user has not mastered the capacity corresponding to the test capacity label.

In an embodiment, the computer device indicates whether the user has mastered the capacity according to a capacity value of the user and corresponding to the test capacity label. For example, when the capacity value of the user and corresponding to the test capacity label is greater than 0.7, it indicates that the user has mastered the capacity corresponding to the test capacity label extremely strong; when the capacity value of the user and corresponding to the

test capacity label is 0.6 ~ 0.7, it indicates that the user has mastered the capacity corresponding

to the test capacity label relatively strong.

In the above embodiments, the computer device determines a number of true answers corresponding to each test capacity label, and determines the capacity test result corresponding to the target object according to the number of true answers. In this way, whether the user has the capacity corresponding to the test capacity label or not may be indicated by the capacity test result. Because capabilities of each user may be different, the computer device may adjust a next test capacity label in real time so as to achieve the effect of accurately testing the capabilities of the users by using occupational test questions under a small number of test capacity labels, that is, the time cost of the users is saved, and the accuracy of occupation recommendation is ensured.

In an embodiment, in the step S212, namely, the step in which the target occupation is screened out from the candidate occupations, and the target occupation is recommended to the target object, includes the following. A capacity value of the target object and corresponding to each target capacity label of the plurality of target capacity labels is calculated out according to an answer result corresponding to the each target capacity label; a matching degree of the target object to each candidate occupation of the plurality of candidate occupations is calculated out based on a weight value of the each target capacity label in capacity labels corresponding to the each candidate occupation and the capacity value of the target object and corresponding to the each target capacity label; at least one target occupation with a matching degree satisfying a high matching degree condition is screened out from the plurality of candidate occupations; and an occupational test report corresponding to the at least one target occupation is generated according to the at least one target occupation, and the occupational test report is fed back to the target object.

In an embodiment, the computer device obtains a comprehensive score of answers corresponding to each target capacity label according to scores of answers to the plurality of occupational test questions under each target capacity label. The computer device may determine a weight value of each target capacity label in the capacity labels corresponding to each candidate occupation. For each candidate occupation, the computer device may perform a weighted summation operation on the comprehensive score of answers corresponding to the plurality of target capacity labels and the weight values of the plurality of target capacity labels so as to obtain the matching degree between the target object and the candidate occupation.

In an embodiment, the computer device may further calculate the matching degree of the target object to each candidate occupation according to the capacity value corresponding to each target capacity label and the corresponding weight value. For each candidate occupation, the computer device may search for a target capacity label corresponding to the candidate occupation and corresponding to the capacity of the target object, and then the weight value of the searched target capacity label in the capacity labels corresponding to the candidate occupation is determined. For the candidate occupation, the computer device may perform a weighted summation operation on the capacity values corresponding to the respective target capacity labels and the corresponding weight values so as to obtain the matching degree of the candidate occupation and the target object.

In an embodiment, the computer device screens out a candidate occupation with a highest matching degree from a plurality of candidate occupations, and takes the candidate occupation with the highest matching degree as the target occupation, namely the occupation to be recommended to the user by the computer device.

In an embodiment, the computer device ranks a plurality of candidate occupations according to their respective matching degrees, and candidate occupations with the ranked orders less than a preset order are screened out as target occupations. For example, the computer device may take the candidate occupations with the top three matching degree as the target occupations of the target object.

In an embodiment, the computer device generates a corresponding occupational test report according to the target occupation as well as the comprehensive score of answers corresponding to the target capacity label or the capacity value corresponding to the target capacity label, and feeds back the occupational test report to the user. The occupational test report may further include personal information of the user, such as a Wechat name and a Wechat icon of the user.

In an embodiment, the computer device displays the recommended target occupation according to the matching degree in the occupational test report, for example the target occupation with the highest matching degree is displayed in a first row of the occupational test report. Or, the computer device displays the target occupation with the highest matching degree in the middle of the occupational test report, and enlarges and highlights the target occupation with the highest matching degree.

In an embodiment, the computer device displays a recommendation reason in the occupational test report. The recommendation reason is mainly to analyze a capacity test result of the user corresponding to the test capacity label. The computer device ranks the capacity values of the user corresponding to the plurality of target capacity labels in a descending order, and displays the target capacity label with the capacity values ranked in the top in the occupational test report. For example, if the total number of the target capacity labels is 3, the target capacity labels ranked in the top 2 are displayed; and if the total number of the target capacity labels is 2, the target capacity label ranked in the first is displayed.

In an embodiment, the recommendation reason may be preset words, for example, when the user has mastered the respective capacity, the recommendation reason may be that you have a (extremely strong/relatively strong) "target capacity label 1" and a (extremely strong/relatively strong) "target capacity label 2", and you have the potential to engage in an excellent "1-ranked target occupation", and meanwhile, have the potential to engage in "2-ranked target occupation" and "3-ranked target occupation". For example, when the user does not master the respective capabilities, the recommendation reason may be that you are slightly deficient in "capacity defect label 1" and "capacity defect label 2", and you will become more excellent in an effort to improve these capabilities. A capacity value may be used for distinguishing "extremely strong" and "relatively strong". For example, when the capacity value is greater than 0.7, it indicates that the capacity is extremely strong, and when the capacity value is less than 0.7, it indicates that the capacity is relatively strong.

In an embodiment, the occupational test report may further include a user radar map. The computer device selects 3 target capacity labels, for example, when the target capacity labels recommended as "extremely strong" or "relatively strong" are included in the occupational test report, the target capacity labels recommended as "extremely strong" or "relatively strong" are preferentially selected. when a number of target capacity labels recommended as "extremely strong" or "relatively strong" is not enough, such as, less than 3, the target capacity labels with the capacity values ranked at the top of the user is selected, whereby 3 target capacity labels in total are selected. Further, the computer device selects 2 capacity defect labels of the user or 2 target capacity labels with capacity values ranked at the bottom of the user. The computer device presents a radar map with the 5 capacity labels in the occupational test report according

to the capacity values. The range of the capacity value may be 0 ~ 1, or other ranges.

In an embodiment, the computer device does not match the user to any one of corresponding occupations when the user's corresponding capacity test results under the plurality of test capacity labels are all capacity-not-mastered, that is, the target occupation cannot be recommended in the occupational test report.

In an embodiment, the computer device sets a "click to view an answer record" control in the occupational test report for providing a function of viewing the answer record. When the user clicks the button "click to view an answer record", a popup box for verifying a mobile phone number is automatically popped up in the occupational test report. When the user passes the verification, the interface jumps from the occupational test report to an answer record page.

In an embodiment, the computer device sets a "share" control in the occupational test report for provide a function of sharing the occupational test report. When the user clicks the button "share", a corresponding sharing page is automatically generated. Therefore, other users may jump to the test home page through the sharing page so as to carry out corresponding occupation tests.

In an embodiment, each user may only have one occupation test. When the user clicks a button

"enter test" again after completing the test, the user may directly view his/her occupational test report.

In an embodiment, when a user ends the test in advance during an occupational test process, for example, the user quits the test answer page in an answer process, when the user enters the test answer page again, it automatically jumps to the test answer page corresponding to the occupational test question which are not completed by the user last time, and thus, the user may continue to complete the remaining occupational test questions.

In the above embodiments, the computer device calculates out the matching degree between the target object and each candidate occupation based on the weight value of each target capacity label in the target capacity labels corresponding to the plurality of candidate occupations and the capacity value of the user and corresponding to each target capacity label; and screens out the target occupation to be recommended to the target object according to the matching degree. In this way, the target occupation matched with the respective capacity of the user is screened out from the plurality of occupations, the user may be ensured to be competent in the target occupation which is screened out and recommended, and thus the accuracy of the occupation recommendation is greatly improved, whereby not only the efficiency of the occupation recommendation is improved, but also the accuracy of the occupation recommendation is ensured.

In an embodiment, the user may enter an occupation test page such as an H5 test page of an application "HuiYanShiRen" through an application or a web page by scanning a Quick Response (QR) code. When the user clicks a button "start test", with reference to FIG. 4 (a), the user enters a test version selection page. The test version selection page includes three different version selection controls and an "enter test" control. The version selection controls for example are a "quick version" control, an "in-depth version" control and a "luxury version" control, and the user may select different test versions according to personal requirements. Moreover, a total number of the capacity labels tested in the occupational test of different versions is different, and the stop conditions thereof are also different. For example, in the "quick version", at most 7 test capacity labels are tested, and when the computer device determines that the test capacity result corresponding to the user is 3 capabilities mastered and 2 capacities not-mastered, the test may be stopped; in the "in-depth version", at most 10 test capacity labels are tested, and when the computer device determines that the test capacity result corresponding to the user is 4 capabilities mastered and 3 capacities not-mastered, the test may be stopped; in the "luxury version", at most 15 test capacity labels are tested and when the computer device determines that the test capacity result corresponding to the user is 5 capabilities mastered and 4 capabilities not-mastered, the test may be stopped.

After the user has selected a version, the user clicks the button "enter test". Referring to FIG. 4(b), the user enters the test answer page. Occupational test questions appearing in the test answer page are mainly choice questions and sometimes may also be blank filling questions or analytical questions. The first question recommended to the user in the test answer page is the occupational test question in the question base and corresponding to the initial test capacity label. The test answer page includes a question number 401, a timer for answering 402, an occupational test question 403, a "skip" control 404, and a "submit" control 405. When the user clicks the "skip" button, it will automatically skip to a next question, and it is determined that an answer result to an unanswered occupational test question is a false answer.

For example, the computer device is preset to push at most 3 questions under a single test capacity label. When the user answers 2 questions falsely under the single test capacity label, the computer device determines that the capacity test result corresponding to the test capacity label for the user is capacity-not-mastered, and switches to a next test capacity label; and when the user truly answers 2 questions under the single test capacity label, the computer device determines that the capacity test result corresponding to the test capacity label for the user is capacity-mastered, and switches to a next test capacity label.

When the computer device obtains that the capacity test result corresponding to the test capacity label for the user is capacity-mastered, the computer device determines the first set formed by all occupations needing to master the test capacity label. According to the capacity labels corresponding to each occupation in the first set, the computer device screens the capacity label with a highest appearance frequency so as to serve as a next test capacity label to be tested. Furthermore, the computer device may push questions under a next test capacity label to be tested to the user.

When the computer device obtains that the capacity test result corresponding to the test capacity label for the user is capacity-not-mastered, the computer device determines a second set formed by all occupations which do not need to master the test capacity label. According to the capacity label corresponding to each occupation in the second set, the computer device screens the capacity label with the highest appearance frequency to serve as a next test capacity label to be tested. Furthermore, the computer device may push questions in the next test capacity label to be tested to the user.

When the user completes the test, the user may click on the button "view test result" so as to view the respective occupational test report, which may be referred to FIG. 5. The occupational test report includes the user's personal information 501, recommended target occupations 502, recommendation reasons 503, a radar map 504, and a control "click to view an answer record" 505.

The user may click to view a specific analysis of one capacity. Referring to FIG. 6, FIG. 6 is a diagram of an interface of a thinking and method capacity analysis in an occupational test report in an embodiment. For example, when the user clicks to view an "thinking and method capacity analysis", the user may view a mastering situation of all capabilities related to the thinking and method capacity. For example, the mastering degree of the respective capacities of the test capacity label such as the communication capacity, the information screening capacity, the rule exploration capacity, the word learning capacity, the cultural learning capacity, the data analysis capacity, the classification discussion thinking and the algorithm construction and implementation capacity is displayed. The higher the percentage value is, the user masters the respective capacity better. For example, when the percentage value is greater than 70%, the capacity-mastered situation is excellent; and when the percentage value is less than 20%, the capacity-mastered situation is poor, which is not limited in the embodiments of the present application.

When the user clicks the button "click to view an answer record", a popup box for verifying a mobile phone number of the user is automatically popped up in the occupational test report. The computer device determines whether it is the user himself/herself that operates by verifying the mobile phone number of the user. When the user passes the verification, the computer device skips the interface from the occupational test report to an answer record page. The answer record page includes occupational test questions and a plurality of choices corresponding to the occupational test questions. When the choice selected by the user is true, a correct mark is added to the choice selected by the user, for example, the correct mark is made in a form of a "checkmark". When the choice selected by the user is false, an incorrect mark is added to the choice selected by the user, for example, the incorrect mark is made in a form of a "x mark", and a checkmark is made to the true choice.

It should be understood that while the steps in the flowchart of FIG. 2 are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence in the order indicated by the arrows. The steps are performed without strict order limitations, and the steps may be performed in other orders, unless explicitly stated herein. Moreover, at least part of the steps in FIG. 2 may include a plurality of steps or phases that are not necessarily performed at a same time but may be performed at different times. The steps or phases are not necessarily performed sequentially, rather, may be performed in turn or in alternation with other steps, or with at least a portion of steps or stages in other steps.

In an embodiment, as shown in FIG. 7, an occupation recommendation apparatus 700 is provided. The occupation recommendation apparatus 700 includes a pushing module 701, a Determining module 702, a screening module 703, a repetition module 704, and a recommendation module 705. The pushing module 701 is configured to push a plurality of occupational test questions corresponding to test capacity labels to a target object; where an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base. The Determining module 702 is configured to determine a capacity test result corresponding to the target object according to answer results of the target object to the plurality of occupational test questions. The screening module 703 is configured to screen out a test capacity label corresponding to a next capacity to be tested from the test capacity labels according to the capacity test result. The repetition module 704 is configured to repeat the step in which the plurality of occupational test questions corresponding to the test capacity labels are pushed to the target object until a test stop condition is satisfied, and obtain a plurality of capacity test results corresponding to the target object. The Determining module 702 is further configured to determine candidate occupations corresponding to a target capacity label according to the plurality of capacity test results, where the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels. The recommendation module 705 is configured to screen out a target occupation from the candidate occupation, and recommend the target occupation to the target object.

In an embodiment, the Determining module 702 is further configured to: determine a capacity label corresponding to each occupation of the plurality of occupations in the occupational information base; and determine an appearance frequency of each capacity label in the plurality of occupations, and take a capacity label with a highest appearance frequency as the initial test capacity label.

In an embodiment, the pushing module 701 is configured to push the plurality of occupational test questions corresponding to the test capacity labels to the target object through the following manners: a difficulty level of each occupational test question of the plurality of occupational test questions corresponding to the test capacity labels is determined; an occupational test question with the difficulty level satisfying a medium difficulty condition is taken as a first question corresponding to the test capacity labels, and the first question corresponding to the test capacity labels is pushed to the target object; a second question corresponding to the test capacity labels is determined based on an answer result to the first question corresponding to the test capacity labels; and whether to push a third question corresponding to the test capacity label to the target object is determined according to the answer result to the first question corresponding to the test capacity labels and an answer result to the second question corresponding to the test capacity labels.

In an embodiment, the pushing module 701 is configured to determine the second question corresponding to the test capacity labels based on the answer result to the first question corresponding to the test capacity labels through the following manners: an answer score of the first question is calculated according to the answer result to the first question and the difficulty level corresponding to the first question; when the answer score of the first question is larger than or equal to a first threshold value, an occupational test question with a higher difficulty level than the first question is taken as the second question corresponding to the test capacity labels, and the second question corresponding to the test capacity labels is pushed to the target object; and when the answer score is less than the first threshold value, an occupational test question with a lower difficulty level than the first question is taken as the second question corresponding to the test capacity labels, and the second question corresponding to the test capacity labels is pushed to the target object.

In an embodiment, the capacity test result includes capacity-mastered and capacity-not-mastered; the Determining module 702 is configured to determine a capacity test result corresponding to the target object according to answer results of the target object to the occupational test questions through the following manners: a number of true answers corresponding to the test capacity labels is determined according to answer results corresponding to the test capacity labels; it is determined that the capacity test result corresponding to the target object is capacity-mastered when the number of the true answers is greater than or equal to a second threshold value; and it is determined that the capacity test result corresponding to the target object is capacity-not-mastered when the number of the true answers is less than the second threshold value.

In an embodiment, the screening module 703 is configured to: when the capacity test result corresponding to the target object is capacity-mastered, form all occupations corresponding to the test capacity label into a first set, and determine an appearance frequency of each capacity label except the test capacity labels among capacity labels corresponding to all occupations in the first set, and take a capacity label with a highest appearance frequency as a test capacity label corresponding to a next capacity to be tested; and when the capacity test result corresponding to the target object is capacity-not-mastered, form all occupations except the first set in the occupational information base into a second set, determine an appearance frequency of each capacity label of capacity labels corresponding to all occupations in the second set, and take a capacity label with a highest appearance frequency as a test capacity label corresponding to a next capacity to be tested.

In an embodiment, the recommendation module 705 is further configured to: calculate out a capacity value of the target object and corresponding to each target capacity label of the plurality of target capacity labels according to an answer result corresponding to the each target capacity label; calculate out a matching degree of the target object to each candidate occupation of the plurality of candidate occupations based on a weight value of the each target capacity label in capacity labels corresponding to the each candidate occupation and the capacity value of the target object and corresponding to the each target capacity label; screen out at least one target occupation with a matching degree satisfying a high matching degree condition from the plurality of candidate occupations; and generate an occupational test report corresponding to the at least one target occupation according to the at least one target occupation, and feed back the occupational test report to the target object.

In an embodiment, each occupational test question corresponds to at least one capacity label, and the at least one capacity label corresponding to each occupational test question is determined according to a mode of thinking capacity methodology (MCM) model.

In the above apparatus for performing an occupation recommendation based on the capacity model, occupational test questions corresponding to the plurality of test capacity labels are sequentially pushed to the target object, a plurality of capacity test results corresponding to the target object are obtained according to answer results of the target object to the plurality of occupational test questions corresponding to each test capacity label, thereby determining the candidate occupations corresponding to the target capacity label of which the target object has a respective capacity, and screening the candidate occupation to obtain the target occupation so as to perform the occupation recommendation to the target object. In this way, capacities of the user are tested by pushing the occupational test question corresponding to the test capacity label to the target object to test the corresponding capacities of the user, so that the target occupation matched with the respective capacity of the user may be screened out from various occupations, the user may be ensured to be competent in the target occupation that is screened out and recommended, and thus the accuracy of the occupation recommendation is greatly improved. Moreover, by screening the test capacity labels step by step, a respective target occupation may be screened out accurately from a plurality of dimensions step by step, and the user does not need to test the occupational test questions corresponding to each occupation one by one, so that the test time cost for the user to answer a large number of complicated or irregular occupational test questions is reduced, whereby not only the efficiency of the occupation recommendation is improved, but also the accuracy of the occupation recommendation is ensured.

The definitions of the occupation recommendation apparatus may be referred to the above definitions of the occupation recommendation method, which however is not to be detailed herein again. The plurality of modules in the above-described occupation recommendation apparatus may be wholly or partially realized by software, hardware or a combination thereof. The above modules may be embedded in a processor in the computer device in a hardware form or may be independent from the processor in the computer device, and may also be stored in a memory in the computer device in a software form, so as to be called by the processor to execute the operations corresponding to the above modules.

In an embodiment, a computer device is provided, the computer device may be a terminal or a server, and a diagram of an internal structure of the computer device may be as shown in FIG. 8. The computer device includes a processor, a memory, and a communication interface which are connected via a system bus. The processor of the computer device is configured to provide calculation and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The communication interface of the computer device is configured to perform a wired or wireless communication with an external terminal, and the wireless communication may be implemented through WIFI (wireless fidelity, wireless local area network), an operator network, near field communication (NFC), or other technologies. The computer program is executed by a processor to implement a occupation recommendation method.

It should be understood by those skilled in the art that the structure shown in FIG. 8 is a block diagram of only part of structures associated with schemes of the present application, and is not intended to limit the computing device to which the schemes of the present application may be applied, and that a specific computing device may include more or fewer components than that shown in the drawings, or may combine some components, or have a different arrangement of components.

In an embodiment, a computer device is provided. The computer device includes a memory and a processor, the memory stores a computer program, the computer program, when executed by the processor, causes the processor to perform the above-described occupation recommendation method. The occupation recommendation method here may be the occupation recommendation method of the above embodiments.

In an embodiment, a computer-readable storage medium is provided. The computer-readable storage medium stores a computer program, the computer program, when executed by a processor, causes the processor to perform the above-described occupation recommendation method. The occupation recommendation method here may be any of the occupation recommendation methods in the above embodiments.

It should be understood by those of ordinary skill in the art that all or part of the processes of implementing the method in the embodiments described above may be accomplished by instructing an associated hardware by the computer program, the computer program may be stored in a non-volatile computer-readable storage medium, and the computer program may, when executed, include a process of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided in the present application may include at least one of a non-volatile memory and a volatile memory. The non-volatile memory may include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory, or an optical memory and the like. The volatile memory may include a random access memory (RAM) or an external cache memory. By way of illustration and not limitation, the RAM may be in many forms, such as a static random access memory (SRAM) or a dynamic random access memory (DRAM) and the like.

The plurality of technical features of the above embodiments may be arbitrarily combined, and all possible combinations of a plurality of technical features in the above embodiments are not described for simplicity of description, however, as long as combinations of these technical features do not contradict each other, the technical features should be considered to be within the scope of the description of the present specification.

Claims

1. An occupation recommendation method, comprising:

pushing a plurality of occupational test questions corresponding to test capacity labels to a target object; wherein an initial test capacity label in the test capacity labels is determined based on a capacity label corresponding to each occupation of a plurality of occupations in an occupational information base;

determining a capacity test result corresponding to the target object according to answer results of the target object to the plurality of occupational test questions;

screening out a test capacity label corresponding to a next capacity to be tested from the test capacity labels according to the capacity test result;

repeating the step of pushing the plurality of occupational test questions corresponding to the test capacity labels to the target object until a test stop condition is satisfied, and obtaining a plurality of capacity test results corresponding to the target object;

determining candidate occupations corresponding to a target capacity label according to the plurality of capacity test results, wherein the target capacity label is a test capacity label indicating the target object having capabilities corresponding to the test capacity labels; and

screening out a target occupation from the candidate occupations, and recommending the target occupation to the target object.

2. The method of claim 1, wherein the initial test capacity label is determined through the following steps:

determining a capacity label corresponding to each occupation of the plurality of occupations in the occupational information base; and

determining an appearance frequency of each capacity label in the plurality of occupations, and taking a capacity label with a highest appearance frequency as the initial test capacity label.

3. The method of claim 1, wherein pushing the plurality of occupational test questions corresponding to the test capacity labels to the target object comprises:

determining a difficulty level of each occupational test question of the plurality of occupational test questions corresponding to the test capacity labels; taking an occupational test question with the difficulty level satisfying a medium difficulty condition as a first question corresponding to the test capacity labels, and pushing the first question corresponding to the test capacity labels to the target object; determining a second question corresponding to the test capacity labels based on an answer result to the first question corresponding to the test capacity labels; and determining whether to push a third question corresponding to the test capacity labels to the target object according to the answer result to the first question corresponding to the test capacity labels and an answer result to the second question corresponding to the test capacity labels; wherein determining the second question corresponding to the test capacity labels based on the answer result to the first question corresponding to the test capacity labels comprises: calculating an answer score of the first question according to the answer result to the first question and the difficulty level corresponding to the first question; in a case where the answer score of the first question is larger than or equal to a first threshold value, taking an occupational test question with a higher difficulty level than the first question as the second question corresponding to the test capacity labels, and pushing the second question corresponding to the test capacity labels to the target object; and in a case where the answer score is less than the first threshold value, taking an occupational test question with a lower difficulty level than the first question as the second question corresponding to the test capacity labels, and pushing the second question corresponding to the test capacity labels to the target object.

4. The method of claim 1, wherein the capacity test result comprises capacity-mastered and capacity-not-mastered; and wherein determining the capacity test result corresponding to the target object according to the answer results of the target object to the plurality of occupational test questions comprises:

determining a number of true answers corresponding to the test capacity labels according to answer results corresponding to the test capacity labels;

determining that the capacity test result corresponding to the target object is capacity-mastered in a case where the number of the true answers is greater than or equal to a second threshold value; and

determining that the capacity test result corresponding to the target object is capacity-not-mastered in a case where the number of the true answers is less than the second threshold value; wherein screening out the test capacity label corresponding to the next capacity to be tested from the test capacity labels according to the capacity test result comprises: in a case where the capacity test result corresponding to the target object is capacity-mastered, forming all occupations corresponding to the test capacity labels into a first set, and determining an appearance frequency of each capacity label except the test capacity labels among capacity labels corresponding to all occupations in the first set, and taking a capacity label with a highest appearance frequency as a test capacity label corresponding to a next capacity to be tested; and in a case where the capacity test result corresponding to the target object is capacity-not-mastered, forming all occupations except the first set in the occupational information base into a second set, determining an appearance frequency of each capacity label of capacity labels corresponding to all occupations in the second set, and taking a capacity label with a highest appearance frequency as a test capacity label corresponding to a next capacity to be tested.

5. The method of any one of claims 1 to 4, wherein the target capacity labels comprises a plurality of target capacity labels, and the candidate occupations comprise a plurality of candidate occupations;

wherein screening out the target occupation from the candidate occupations, and recommending the target occupation to the target object comprises:

calculating out a capacity value of the target object and corresponding to each target capacity label of the plurality of target capacity labels according to an answer result corresponding to the each target capacity label;

calculating out a matching degree of the target object to each candidate occupation of the plurality of candidate occupations based on a weight value of the each target capacity label in capacity labels corresponding to the each candidate occupation and the capacity value of the target object and corresponding to the each target capacity label;

screening out at least one target occupation with a matching degree satisfying a high matching degree condition from the candidate occupations; and

generating an occupational test report corresponding to the at least one target occupation according to the at least one target occupation, and feeding back the occupational test report to the target object.