CN112311839B

CN112311839B - Information pushing method, device, equipment and readable medium

Info

Publication number: CN112311839B
Application number: CN201910765330.2A
Authority: CN
Inventors: 请求不公布姓名
Original assignee: Beijing ByteDance Network Technology Co Ltd
Current assignee: Beijing ByteDance Network Technology Co Ltd
Priority date: 2019-08-19
Filing date: 2019-08-19
Publication date: 2023-04-07
Anticipated expiration: 2039-08-19
Also published as: CN112311839A

Abstract

The embodiment of the disclosure discloses an information pushing method, an information pushing device, information pushing equipment and a readable medium. The method comprises the following steps: based on the current difficulty coefficient of the test questions recorded in the test question information, executing an information pushing step: sending the test questions to a determined target user group; determining answer coefficients of target user groups according to answer data returned by each target user; determining whether the answer coefficient is consistent with the current difficulty coefficient and is in the difficulty coefficient range corresponding to the target user group; if the information is consistent or inconsistent and is within the difficulty coefficient range corresponding to the target user group, ending the information pushing step; and if the answer coefficient is inconsistent and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again. According to the method and the device, when the test questions are pushed to the user, the pushing accuracy can be improved, and the user experience is improved.

Description

Information pushing method, device, equipment and readable medium

Technical Field

The present disclosure relates to data processing technologies, and in particular, to an information pushing method, an information pushing apparatus, an information pushing device, and a readable medium.

Background

With the development of internet technology, users can acquire resource information through the internet, for example, acquire test questions, so as to consolidate learned knowledge or detect learned knowledge by means of making test questions. At present, when the test questions are pushed to the user, the corresponding test questions are usually matched according to the keywords input by the user, and the matched test questions are pushed to the user. However, the test questions pushed to the user in the above manner are only related to the keywords, but are not necessarily suitable for the user's own needs. How to improve the accuracy of information push becomes a problem which needs to be solved urgently at present.

Disclosure of Invention

In view of the above, embodiments of the present disclosure provide an information pushing method, an information pushing device, an information pushing apparatus, and a readable medium, so as to solve the problem in the related art that how to improve the accuracy of information pushing is urgently needed.

In a first aspect, an embodiment of the present disclosure provides an information pushing method, where the method includes:

based on the current difficulty coefficient of the test questions recorded in the test question information, executing the following information pushing steps:

determining a target user group according to the current difficulty coefficient, and sending the test questions to the target user group, wherein different user groups correspond to different difficulty coefficient ranges;

determining answer coefficients of the target user group according to answer data returned by each target user in the target user group, wherein the answer coefficients are used for quantitatively representing the feedback condition of the target users to the test question difficulty;

determining whether the answer coefficient of the target user group is consistent with the current difficulty coefficient and is in the difficulty coefficient range corresponding to the target user group;

if the answer coefficient of the target user group is consistent with the current difficulty coefficient or the answer coefficient is inconsistent with the current difficulty coefficient of the test question but is in the difficulty coefficient range corresponding to the target user group, not adjusting the current difficulty coefficient, and finishing the information pushing step;

and if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted current difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again.

In a second aspect, an embodiment of the present disclosure provides an information pushing apparatus, where the apparatus includes:

the information pushing module is used for pushing information based on the current difficulty coefficient of the test questions recorded in the test question information;

the information push module comprises:

the user group determining unit is used for determining a target user group according to the current difficulty coefficient and sending the test questions to the target user group, wherein different user groups correspond to different difficulty coefficient ranges;

the answer coefficient determining unit is used for determining answer coefficients of the target user group according to answer data returned by each target user in the target user group, wherein the answer coefficients are used for quantitatively representing the feedback condition of the target users to the test question difficulty;

the determining unit is used for determining whether the answer coefficient of the target user group is consistent with the current difficulty coefficient and is within the difficulty coefficient range corresponding to the target user group;

the adjustment control unit is used for not adjusting the current difficulty coefficient and finishing the information pushing step if the answer coefficient of the target user group is consistent with the current difficulty coefficient or the answer coefficient is inconsistent with the current difficulty coefficient of the test question but is in the difficulty coefficient range corresponding to the target user group;

and the adjustment control unit is further configured to adjust the current difficulty coefficient according to the answer coefficient of the target user group if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not within the difficulty coefficient range corresponding to the target user group, and execute the information pushing step again by taking the adjusted current difficulty coefficient as the current difficulty coefficient.

In a third aspect, an embodiment of the present disclosure further provides an apparatus, where the apparatus includes:

one or more processors;

a memory for storing one or more programs;

when the one or more programs are executed by the one or more processors, the one or more processors implement the information pushing method according to any embodiment of the disclosure.

In a fourth aspect, the disclosed embodiments provide a readable medium, on which a computer program is stored, where the program, when executed by a processor, implements an information pushing method as described in any embodiment of the present disclosure.

According to the information pushing method, the device, the equipment and the readable medium provided by the embodiment of the disclosure, the test question is sent to the target user group, so that the answer coefficient of the target user group is determined according to answer data returned by each target user in the target user group, whether the answer coefficient of the target user group is consistent with the current difficulty coefficient and is in the difficulty coefficient range corresponding to the target user group is determined, if the answer coefficient of the target user group is consistent with the current difficulty coefficient or the answer coefficient is inconsistent with the current difficulty coefficient of the test question and is in the difficulty coefficient range corresponding to the target user group, the current difficulty coefficient is not adjusted, and the information pushing step is ended; and if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient of the test questions and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again. Therefore, whether the difficulty coefficient of the test question is set reasonably or not is detected according to the answer coefficient of the user group, and when the difficulty coefficient of the test question is set unreasonably, the difficulty coefficient of the test question is adjusted in a self-adaptive mode, so that the test question with the adjusted difficulty coefficient has a test value, and conditions are provided for setting a proper difficulty coefficient for the test question. Therefore, when the test questions are pushed to the user, the pushing accuracy can be improved, and the user experience is improved.

Drawings

The above and other features, advantages, and aspects of embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.

Fig. 1 shows a schematic flow chart of an information pushing method provided by an embodiment of the present disclosure;

fig. 2 is a schematic flowchart illustrating another information pushing method provided in the embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of an information pushing apparatus provided in an embodiment of the present disclosure;

fig. 4 shows a schematic structural diagram of an apparatus provided in an embodiment of the present disclosure.

Detailed Description

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more complete and thorough understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.

It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.

The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.

It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.

It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise. The names of messages or information exchanged between multiple parties in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.

The embodiments of the present disclosure provide an information push method, which is directed to a problem of how to improve accuracy of information push in the related art.

The method comprises the steps that test questions are sent to a target user group, answer coefficients of the target user group are determined according to answer data returned by each target user in the target user group, whether the answer coefficients are consistent with current difficulty coefficients of the test questions and are within a difficulty coefficient range corresponding to the target user group or not is confirmed, if the answer coefficients are consistent or inconsistent and are within the difficulty coefficient range corresponding to the target user group, the current difficulty coefficients are not adjusted, and an information pushing step is finished; and if the answer coefficients are inconsistent and are not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again. Therefore, whether the difficulty coefficient of the test question is set reasonably or not is detected according to the answer coefficient of the user group, and when the difficulty coefficient of the test question is set unreasonably, the difficulty coefficient of the test question is adjusted in a self-adaptive mode, so that the test question with the adjusted difficulty coefficient has a test value, and conditions are provided for setting a proper difficulty coefficient for the test question. Therefore, when the test questions are pushed to the user, the pushing accuracy can be improved, and the user experience is improved.

The following describes in detail an information pushing method, an information pushing apparatus, an information pushing device, and a readable medium provided in the embodiments of the present disclosure with reference to the accompanying drawings.

Fig. 1 shows a flow diagram of an information pushing method provided by an embodiment of the present disclosure, which is applicable to a situation of how to improve accuracy of information pushing. The information pushing method provided by the embodiment of the present disclosure may be executed by the information pushing apparatus provided by the embodiment of the present disclosure, the apparatus may be implemented in a software and/or hardware manner, and is integrated in a device for executing the method, and the device for executing the method in this embodiment may be any device having a data processing function, for example, an intelligent terminal such as a mobile phone, a tablet, or a Personal Digital Assistant (PDA).

As shown in fig. 1, the information push method provided in the embodiment of the present disclosure may include the following steps:

and executing the information pushing step based on the current difficulty coefficient of the test questions recorded in the test question information.

In this embodiment, the test question information may include question information, a current difficulty coefficient, and correct answers corresponding to the question information.

Optionally, the current difficulty coefficient of the test question is usually set by an expert or a teacher when setting the test question, and the difficulty coefficient is recorded in the corresponding test question information, so that the difficulty coefficient corresponds to the test question information one to one. Therefore, when information pushing is executed subsequently, the current difficulty coefficient of the test questions can be obtained from the information recorded by the test question information so as to execute the information pushing step.

The present embodiment may include the following steps S110 to S150 when executing the information pushing step based on the current difficulty coefficient of the test questions recorded in the test question information. S110 to S150 are explained in detail below.

And S110, determining a target user group according to the current difficulty coefficient, and sending the test questions to the target user group, wherein different user groups correspond to different difficulty coefficient ranges.

In this embodiment, the types of the test questions include, but are not limited to: discussion questions, short-ended questions, solution questions, and the like, which are not specifically limited herein.

Optionally, before executing S110, the present embodiment may guide the user to register the basic personal information when the user uses the application with the test question set, so that the device ranks the users according to the basic personal information registered by the user to obtain user groups of different levels.

When the users are classified, a corresponding difficulty coefficient range can be set for each level of user group so as to establish the mapping relation between the user level and the difficulty coefficient range. Thereby providing conditions for subsequent determination of a target user population.

Wherein the basic information of the user comprises at least one of the following information: age, grade, current location, and learning experience.

For example, suppose that the current difficulty factor of the test questions is defined as a continuous real number between [0,1], and the current difficulty factor of the test questions is divided into 4 grades, respectively: hard, medium, easy, then set a difficulty factor range for each grade. For example, the difficulty factor ranges for the difficult grades are: 0-0.25, the difficult coefficient range of grades is: 0.25-0.50, moderate degree difficulty coefficient range: 0.50-0.75 and a difficulty factor range of easy grade of 0.75-1.00.

Then, when the number of registered users is 100, of which 20 users have learned experiences of learning oxter and are aged 14 to 15 years, it can be determined that the 20 users can deal with the test questions whose difficulty level is difficult. The 20-bit user rating may be set to a rating of 1 at this time, and a difficulty factor range may be set for the rating of 1: 0 to 0.25; if the grade of 30 users is seven years, it can be determined that the 30 users can process the test questions whose difficulty grade is difficult. The 30-bit user rating may be set to level 2 at this time, and a difficulty factor range may be set for the 30-bit user: 0.25 to 0.50; with 15 users between 10 and 12 years of age, it can be determined that the 15 users can deal with test questions with a moderate difficulty rating. The 15-user rating may be set to level 3 at this time, and a difficulty factor range may be set for the 15-user: 0.50 to 0.75; if 35 users are 8-9 years old and second grade, it can be determined that the 35 users can deal with the test questions with easy difficulty grade. The 35-bit user rating may be set to level 4 at this time, and a difficulty factor range may be set for the 45-bit user: 0.75 to 1.00. Thereby, a mapping relationship between the user level and the difficulty coefficient range is established, as shown in table 1 below:

table 1:

difficulty rating	Difficulty in	Is difficult to	Is moderate	Easy
					User level	Level 1	Level 2	Level 3	Level 4
Range of difficulty factors	0～0.25	0.25～0.50	0.50～0.75	0.75～1.00

Further, after the mapping relationship between the user level and the difficulty coefficient range is established, the embodiment of the present disclosure may search the user level corresponding to the difficulty coefficient range in the mapping relationship according to the current difficulty coefficient of the test question, and determine the user group corresponding to the user level as the target user group. Then, the test questions are sent to the determined target user group, so that each target user in the target user group answers the test questions.

For example, if the current difficulty coefficient of the test question is 1, the current difficulty coefficient can be determined, the difficulty coefficient range (0.75,1.00) in the mapping relationship is located, the user group corresponding to level 4 in the difficulty coefficient range (0.75,1.00) is determined as the target user group, and then the test question is sent to the determined target user group.

And S120, determining answer coefficients of the target user group according to answer data returned by each target user in the target user group, wherein the answer coefficients are used for quantitatively representing the feedback condition of the target users to the test question difficulty.

For example, after the test question is sent to the target user group, the embodiment of the present disclosure may further receive answer data returned by each target user in the target user group, so as to determine the answer coefficient of the target user group by processing the answer data returned by each target user.

In this embodiment, the answer data may include: answering time length, answering times and answering steps. That is to say, the answer coefficient of the target user group is determined by processing the answer duration, the answer times and the answer steps returned by each target user in the target user group.

In practical application, the answer score can be usually calculated according to the answer step, so the embodiment can also calculate the answer score according to the answer step, and then determine the answer coefficient of the target user group according to the answer duration, the answer times and the answer score.

For example, in the embodiment of the present disclosure, different weights may be further set for the answer duration, the answer number, and the answer score, so as to determine the answer coefficient of the target user group according to the answer duration, the answer number, the answer score, and the respective corresponding weights.

In this embodiment, the answer coefficient is used to quantitatively represent a feedback condition of the target user on the difficulty of the test question, for example, the answer coefficient may include an answer duration coefficient, an answer frequency coefficient, and an answer score coefficient. It should be noted that, in this embodiment, besides the feedback condition of the target user on the test question difficulty coefficient is quantitatively represented by the user answer coefficient, the feedback condition of the target user on the test question difficulty coefficient may also be quantitatively represented by other coefficients, which is not specifically limited in this embodiment.

It should be noted that, for determining the answer coefficient of the target user group in this embodiment, details of the following embodiments are described, and redundant description thereof is not repeated here.

S130, determining whether the answer coefficient of the target user group is consistent with the current difficulty coefficient and is in the difficulty coefficient range corresponding to the target user group.

Illustratively, after the answer coefficient of the target user group is determined according to the answer data returned by each target user of the target user group, the embodiment can compare the answer coefficient with the current difficulty coefficient to determine whether the current difficulty coefficient is set reasonably, adjust the difficulty coefficient which is set unreasonably if not, otherwise, not adjust, and end the information pushing step.

And S140, if the answer coefficient of the target user group is consistent with the current difficulty coefficient or the answer coefficient is inconsistent with the current difficulty coefficient of the test questions but is in the difficulty coefficient range corresponding to the target user group, not adjusting the current difficulty coefficient, and finishing the information pushing step.

If the answer coefficient is consistent with the current difficulty coefficient, the difficulty coefficient of the test question is set reasonably, adjustment is not needed, and the information pushing step can be finished; and if the answer coefficient is not consistent with the current difficulty coefficient but is within the difficulty coefficient range corresponding to the target user group, indicating that the difficulty coefficient of the test question is floating up and down within the allowable range without adjustment, and ending the information pushing step.

S150, if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again.

If the answer coefficient is inconsistent with the current difficulty coefficient and is not within the difficulty coefficient range corresponding to the target user group, the difficulty coefficient of the test question is set unreasonably, and the difficulty coefficient of the test question needs to be adjusted, so that the test question with the adjusted difficulty coefficient has a test value.

Illustratively, when the difficulty coefficient of the test question is adjusted, the current difficulty coefficient of the test question can be replaced by the answer coefficient of the target user group, so as to obtain the adjusted difficulty coefficient.

Further, after obtaining the adjusted difficulty coefficient, the present disclosure may further use the adjusted difficulty coefficient as the current difficulty coefficient, and execute the information pushing step again, that is, return to S110 until the current difficulty coefficient is within the difficulty coefficient range corresponding to the target user group.

For example, if the adjusted difficulty coefficient is 0.6, then in the established mapping relationship between the user level and the difficulty coefficient range, it is determined that the adjusted difficulty coefficient is (0.50,0.75 ], the difficulty coefficient range (0.50,0.75) is determined as the target user group corresponding to the user group of level 3, then the test question is sent to the target user group, and the answer coefficient of the target user group is determined according to the received answer data returned by the target user group, if the answer coefficient is 0.65, it is determined that the answer coefficient 0.65 is not consistent with 0.6, but is within the difficulty coefficient range (0.50,0.75), it is determined that the adjusted difficulty coefficient tends to be stable, and adjustment is stopped, and 0.6 is taken as the final difficulty coefficient of the test question.

Furthermore, after the current difficulty coefficient of the test questions is adjusted, the final difficulty coefficient is recorded into the test question information of the test questions, so that the final difficulty coefficient is used as the current difficulty coefficient of the test questions. Then, determining the user level to which the current difficulty coefficient corresponds to the target user group, and storing the corresponding relation between the user level and the current difficulty coefficient. Therefore, when the user obtains the test questions from the test question set for self detection or the knowledge point is consolidated, the corresponding difficulty coefficient range can be determined according to the user level, the test questions with the difficulty coefficient within the difficulty coefficient range can be obtained from the test question set, the obtained test questions are provided for the user, the test questions which accord with the self condition of the user can be provided for the user, and the user can obtain the test questions to accurately detect the learned knowledge.

That is, the present embodiment further includes: receiving a test question acquisition request, wherein the acquisition request carries basic information of a user; determining the user level according to the basic information; determining a corresponding difficulty coefficient range from a pre-established mapping relation between the user level and the difficulty coefficient range based on the user level; and obtaining the test questions in the difficulty coefficient range from the test question set according to the difficulty coefficient range.

Continuing with the example in S110, if the user XX triggers the test question acquiring function in the application display interface, the device may determine that the user level is level 3 according to the registration information of the user XX in the application, determine that the difficulty coefficient range of the test questions that the user XX can answer is 0.50 to 0.75 according to the mapping relationship between the user level and the difficulty coefficient range, acquire the test questions with the difficulty coefficient of 0.50 to 0.75 from the test question set, and send the acquired test questions to the user XX, so that the user XX answers according to the sent test questions, to detect the knowledge point grasping condition.

In addition, the embodiment can also actively push test questions to the user based on the difficulty coefficient range determined by the user level, so that the user can detect knowledge point mastering conditions according to the pushed test questions, and the use experience of the user is improved.

When the test questions are pushed to the user, the same type of test questions can be pushed to the user according to the test question types obtained by the user history; other types of test questions may also be pushed to the user, which are not specifically limited herein.

According to the technical scheme provided by the embodiment of the disclosure, the test questions are sent to the target user group, so that the answer coefficients of the target user group are determined according to answer data returned by each target user in the target user group, whether the answer coefficients of the target user group are consistent with the current difficulty coefficient and are in the difficulty coefficient range corresponding to the target user group or not is determined, if the answer coefficients of the target user group are consistent with the current difficulty coefficient or the answer coefficients are not consistent with the current difficulty coefficient of the test questions and are in the difficulty coefficient range corresponding to the target user group, the current difficulty coefficient is not adjusted, and the information pushing step is ended; and if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient of the test questions and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again. Therefore, whether the difficulty coefficient of the test question is set reasonably or not is detected according to the answer coefficient of the user group, and when the difficulty coefficient of the test question is set unreasonably, the difficulty coefficient of the test question is adjusted in a self-adaptive mode, so that the test question with the adjusted difficulty coefficient has a test value, and conditions are provided for setting a proper difficulty coefficient for the test question. Therefore, when the test questions are pushed to the user, the pushing accuracy can be improved, and the user experience is improved.

As can be seen from the above analysis, in the embodiment of the present disclosure, when the answer coefficient is inconsistent with the current difficulty coefficient of the test question and is not within the difficulty coefficient range corresponding to the target user group, the current difficulty coefficient is adjusted according to the answer coefficient, and the adjusted difficulty coefficient is used as a new current difficulty coefficient, and the information pushing step is executed again.

In the specific implementation process, when the answer coefficient of the target user group is determined according to the answer data returned by each target user in the target user group in the embodiment of the disclosure, the answer score of each target user can be determined according to the answer step of each target user in the target user group and the maximum answer path in the correct answer paths of the test questions, and then the answer coefficient of the target user group is determined according to the answer duration, the answer times and the answer score of each target user. The above-mentioned situation of the information pushing method according to the embodiment of the present disclosure is specifically described below with reference to fig. 2.

Fig. 2 shows a schematic flow chart of another information pushing method provided in the embodiment of the present disclosure, and the embodiment performs optimization based on the alternatives provided in the above embodiments. Specifically, the present embodiment mainly introduces the detailed adjustment process of the difficulty coefficient of the test question. Optionally, as shown in fig. 2, the information pushing method in this embodiment may include the following steps:

s210, determining a target user group according to the current difficulty coefficient, and sending the test questions to the target user group, wherein different user groups correspond to different difficulty coefficient ranges.

S220, determining the answer scores of the target users according to the answer steps of the target users in the target user group and the maximum answer path in the correct answer paths of the test questions.

In the practical application process, after the test questions are sent to the target user group, all target users in the target user group answer the test questions and return answer data. Wherein, answer data includes: answering time length, answering times and answering steps.

In this embodiment, the answer duration may be timed according to a timer in the device. For example, when the test question opening signal is monitored, the timer starts timing, and when the test question closing signal or the test question switching signal is monitored, the timer ends timing. Then, the answering time length is obtained according to the ending time and the starting time.

Illustratively, the answering time can be obtained by the following formula (1):

answer duration = end time-start time … … … … … … … … … … … … … (1)

The number of answering times can be counted according to the number of listeners in the equipment. For example, the number of times of answering the questions of the user is determined by monitoring the number of times of triggering a mouse or a keyboard at the position of answering the questions.

Furthermore, since the answer step may be returned when each target user in the target user group answers the test question, at this time, the device needs to determine the answer score of each target user according to the answer step of each target user and the maximum answer path in the correct answer path of the test question.

Illustratively, the answer score of each target user is determined by the following formula (2):

for example, if there are 3 correct answers to the test question a, which are A1, A2 and A3, respectively, wherein the answer path of A2 is the largest, specifically 6, then when there are 10 target users in the target user group, the answer steps of each target user are: 3. 4, 2, 4, 5, 3, 5, 6, 0, 5, are based on

The answer scores of the 10 target users can be calculated as follows: 50 minutes, 66.7 minutes, 33.3 minutes, 66.7 minutes, 83.3 minutes, 50 minutes, 83.3 minutes, 100 minutes, 0 minutes, 83.3 minutes.

It should be noted that, in this embodiment, when the types of the test questions are objective questions, such as blank filling questions and choice questions, the embodiment of the present disclosure may compare the correct answers of the test questions with the response results fed back by each target user, and determine the answer scores of each target user according to the comparison results.

And S230, determining the answer coefficient of the target user group according to the answer duration, the answer times and the answer scores of each target user.

In this embodiment, the answer coefficient includes an answer duration coefficient, an answer number coefficient, and an answer score coefficient.

Optionally, the determining the answer coefficient of the target user group according to the answer duration, the answer times, and the answer score of each target user in this embodiment includes: according to the answer duration, the answer times and the answer scores of the target users, respectively determining the answer duration coefficient, the answer times coefficient and the answer score coefficient of the target user group; and calculating the answer coefficient according to the answer duration coefficient, the answer time coefficient, the answer score coefficient and the corresponding preset parameter weights.

Determining the answer duration coefficient, the answer frequency coefficient and the answer score coefficient of the target user group according to the answer duration, the answer times and the answer scores of each target user respectively, wherein the method comprises the following steps:

respectively determining the average answer duration, the average answer times and the average answer scores of the target user group according to the answer duration, the answer times and the answer scores of each target user;

calculating the answer duration coefficient according to the number of users exceeding the average answer duration and the number of users not exceeding the average answer duration in the target user group;

calculating the answer time coefficient according to the number of users exceeding the average answer time and the number of users not exceeding the average answer time in the target user group;

and calculating the answer score coefficient according to the number of the users exceeding the average answer score and the number of the users not exceeding the average answer score in the target user group.

Further, according to the answer duration coefficient, the answer frequency coefficient, the answer score coefficient, and the corresponding preset parameter weights, calculating the answer coefficient, including:

and carrying out weighted summation on the answer duration coefficient, the answer time coefficient, the answer score coefficient and the corresponding preset parameter weights to obtain the answer coefficient.

For a clearer explanation, the answer coefficient of the target user group is determined according to the answer duration, the answer number and the answer score of each target user, and the following specific example is explained below.

Assume that there are 10 target users in the target user population. Wherein, if the respective answer durations of the 10 target users are respectively as follows: 5 minutes (min), 6min, 10min, 4min, 7min, 3min, 5min, 8min, 9min and 12min, then determining the average answering time of the target user group as:

if the respective answer times of the 10 target users are respectively as follows: 1, 3, 2, 5,1, 3, 1, 2, then the average number of answers for the target user population is determined as:

if the answer scores of the 10 target users are respectively as follows: 50 points, 66.7 points, 100 points, 66.7 points, 83.3 points, 50 points, 83.3 points, 100 points, 83.3 points, and 83.3 points, then the average answer score of the target user population is determined to be:

then, the number of the 10 target users exceeding the average answering time is counted as: 5 positionThe number of users who do not exceed the average answering time is: 5, the time length coefficient of the answer is:

counting the number of the users with 10 target users exceeding the average answering times as follows: 3, if the number of users who do not exceed the average answer times is 7, the coefficient of the number of the obtained answer times is as follows:

counting the number of the users with the 10 target users exceeding the average answer score as follows: 6, if the number of users who do not exceed the average answer score is 4, the coefficient of the obtained answer score is:

assuming that the preset parameter weights include a duration weight of 0.2, a frequency weight of 0.3, and a score weight of 0.5, the answer coefficient of the target user group is: z = (1 × 0.2) + (2.33 × 0.3) + (0.667 × 0.5) =1.2325.

S240, determining whether the answer coefficient of the target user group is consistent with the current difficulty coefficient and is in the difficulty coefficient range corresponding to the target user group.

And S250, if the answer coefficient of the target user group is consistent with the current difficulty coefficient or the answer coefficient is inconsistent with the current difficulty coefficient of the test questions but is in the difficulty coefficient range corresponding to the target user group, not adjusting the current difficulty coefficient, and finishing the information pushing step.

And S260, if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again.

According to the technical scheme provided by the embodiment of the disclosure, the average answer duration, the average answer times and the average answer score of a target user group are respectively determined according to the answer duration, the answer times and the answer scores of each target user, so that the number of users is fuzzified, the answer coefficient of the target user group can be accurately calculated without considering the number of users, whether the current difficulty coefficient of the test questions is reasonable or not is detected according to the answer coefficient of the target user group, and when the difficulty coefficient of the test questions is unreasonable in setting, the difficulty coefficient of the test questions is adaptively adjusted, so that the adjusted test questions have higher test value, and conditions are provided for setting the proper difficulty coefficient of the test questions. Therefore, when information is subsequently pushed to a user, the pushing accuracy can be improved, and the user experience is improved.

On the basis of the above embodiment, S101 further includes: and according to a preset answer duration threshold, eliminating answer data of which the answer duration of each target user is smaller than the threshold.

The preset answer duration threshold value can be adaptively set according to the test question types. For example, if the test question is a solution question, the preset answer duration threshold is set to 10min or 15min, and the like, which is not specifically limited herein.

For example, if the type of the test question is an answer question and the preset answer duration threshold is 10min, when the answer duration of the target user S is 3min, it indicates that the target user S does not answer carefully, which causes an inaccurate problem in the subsequent calculation of the answer coefficient. At this time, the answer data of the target user S may be culled.

According to the preset answer duration threshold, the answer data of each target user, the answer duration of which is smaller than the threshold, are removed, so that the reliability of the removed answer data is ensured, and the calculated answer coefficient is more accurate.

Fig. 3 shows a schematic structural diagram of an information pushing apparatus provided in an embodiment of the present disclosure, which is applicable to a situation how to improve accuracy of information pushing. The means may be implemented in software and/or hardware and integrated in the device performing the method. As shown in fig. 3, the information pushing apparatus in the embodiment of the present disclosure may include: and an information pushing module 30.

The information pushing module 30 is configured to push information based on a current difficulty coefficient of the test questions recorded in the test question information;

the information pushing module 30 includes: a user group determination unit 310, an answer coefficient determination unit 320, a determination unit 330 and an adjustment control unit 340.

The user group determining unit 310 is configured to determine a target user group according to the current difficulty coefficient, and send the test question to the target user group, where different user groups correspond to different difficulty coefficient ranges;

the answer coefficient determining unit 320 is configured to determine an answer coefficient of the target user group according to answer data returned by each target user in the target user group, where the answer coefficient is used to quantitatively represent a feedback condition of the target user on the difficulty of the test question;

the determining unit 330 is configured to determine whether an answer coefficient of the target user group is consistent with the current difficulty coefficient and is within a difficulty coefficient range corresponding to the target user group;

the adjustment control unit 340 is configured to, if the answer coefficient of the target user group is consistent with the current difficulty coefficient or the answer coefficient is inconsistent with the current difficulty coefficient of the test question but is within the difficulty coefficient range corresponding to the target user group, not adjust the current difficulty coefficient, and end the information pushing step;

the adjusting and controlling unit 340 is further configured to, if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not within the difficulty coefficient range corresponding to the target user group, adjust the current difficulty coefficient according to the answer coefficient of the target user group, and perform the information pushing step again with the adjusted current difficulty coefficient as the current difficulty coefficient.

According to the technical scheme provided by the embodiment of the disclosure, whether the difficulty coefficient of the test question is set reasonably is detected according to the answer coefficient of the user group, and when the difficulty coefficient of the test question is set unreasonably, the difficulty coefficient of the test question is adjusted in a self-adaptive manner, so that the test question with the adjusted difficulty coefficient has a test value, and conditions are provided for setting a proper difficulty coefficient for the test question. Therefore, when the test questions are pushed to the user, the pushing accuracy can be improved, and the user experience is improved.

Further, the answer data includes: answering time, answering times and answering steps;

accordingly, the answer coefficient determining unit 320 is specifically configured to:

determining the answer score of each target user according to the answer step of each target user in the target user group and the maximum answer path in the correct answer paths of the test questions;

and determining the answer coefficient of the target user group according to the answer duration, the answer times and the answer scores of each target user.

Further, the answer coefficient comprises an answer duration coefficient, an answer frequency coefficient and an answer score coefficient;

accordingly, the answer coefficient determining unit 320 is further configured to:

according to the answer duration, the answer times and the answer scores of the target users, respectively determining the answer duration coefficient, the answer times coefficient and the answer score coefficient of the target user group;

and calculating the answer coefficient according to the answer duration coefficient, the answer time coefficient, the answer score coefficient and the corresponding preset parameter weights.

Further, the answer coefficient determining unit 320 is further configured to:

Further, the information pushing module 30 may further include: and a data eliminating unit.

And the data removing unit is used for removing the answer data of which the answer duration of each target user is less than the threshold value according to a preset answer duration threshold value.

Further, the information pushing module 30 further includes: and a memory unit.

The storage unit is used for determining the user level to which the current difficulty coefficient corresponds to the target user group, and storing the corresponding relation between the user level and the current difficulty coefficient.

Further, the information pushing module 30 further includes: the device comprises a request receiving unit, a user level determining unit, a difficulty coefficient range determining unit and a test question acquiring unit.

The device comprises a request receiving unit, a test question acquiring unit and a test question acquiring unit, wherein the request receiving unit is used for receiving a test question acquiring request which carries basic information of a user;

a user level determining unit, configured to determine the user level according to the basic information;

the difficulty coefficient range determining unit is used for determining a corresponding difficulty coefficient range from a mapping relation between a pre-established user level and a difficulty coefficient range based on the user level;

and the test question acquisition unit is used for acquiring the test questions in the difficulty coefficient range from the test question set according to the difficulty coefficient range.

The information pushing device provided by the embodiment of the present disclosure is the same as the information pushing method provided by the embodiment, and technical details that are not described in detail in the embodiment of the present disclosure may be referred to in the embodiment, and the embodiment of the present disclosure has the same beneficial effects as the embodiment.

Referring now to FIG. 4, a block diagram of an apparatus 400 suitable for use in implementing embodiments of the present disclosure is shown. The devices in the embodiments of the present disclosure may include, but are not limited to, mobile terminals such as mobile phones, notebook computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), in-vehicle terminals (e.g., car navigation terminals), and the like, and fixed terminals such as digital TVs, desktop computers, and the like. The device shown in fig. 4 is only an example and should not bring any limitation to the function and use range of the embodiments of the present disclosure.

As shown in fig. 4, the apparatus 400 may include a processing device (e.g., central processing unit, graphics processor, etc.) 401 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM) 402 or a program loaded from a storage device 408 into a Random Access Memory (RAM) 403. In the RAM403, various programs and data necessary for the operation of the device 400 are also stored. The processing device 401, the ROM402, and the RAM403 are connected to each other via a bus 404. An input/output (I/O) interface 405 is also connected to bus 404.

Generally, the following devices may be connected to the I/O interface 405: input devices 406 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; an output device 407 including, for example, a Liquid Crystal Display (LCD), a speaker, a vibrator, and the like; storage 608 including, for example, magnetic tape, hard disk, etc.; and a communication device 409. The communication means 409 may allow the device 400 to communicate with other devices, either wirelessly or by wire, to exchange data. While fig. 4 illustrates an apparatus 400 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated in the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication device 409, or installed from the storage device 408, or installed from the ROM 402. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 401.

It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.

In some implementations, the devices may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.

The computer readable medium may be embodied in the apparatus; or may be separate and not incorporated into the device.

The computer readable medium carries one or more programs which, when executed by the apparatus, cause the apparatus to: based on the current difficulty coefficient of the test questions recorded in the test question information, executing the following information pushing steps:

determining whether the answer coefficient of the target user group is consistent with the current difficulty coefficient and is in a difficulty coefficient range corresponding to the target user group;

and if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again.

Computer program code for carrying out operations for aspects of the present disclosure may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.

The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), complex Programmable Logic Devices (CPLDs), and the like.

According to one or more embodiments of the present disclosure, an information pushing method is provided, which includes:

According to one or more embodiments of the present disclosure, in the above method, the answer data includes: answering time length, answering times and answering steps;

correspondingly, the determining the answer coefficient of the target user group according to the answer data returned by each target user in the target user group includes:

According to one or more embodiments of the present disclosure, in the above method, the answer coefficient includes an answer duration coefficient, an answer number coefficient, and an answer score coefficient;

correspondingly, the determining the answer coefficient of the target user group according to the answer duration, the answer times and the answer scores of each target user comprises:

According to one or more embodiments of the present disclosure, in the method, determining the answer duration coefficient, the answer number coefficient, and the answer score coefficient of the target user group according to the answer duration, the answer number, and the answer score of each target user respectively includes:

calculating the answer times coefficient according to the number of the users exceeding the average answer times and the number of the users not exceeding the average answer times in the target user group;

According to one or more embodiments of the present disclosure, in the method, calculating the answer coefficient according to the answer duration coefficient, the answer time coefficient, the answer score coefficient, and the preset parameter weights corresponding to the answer time duration coefficient, the answer time number coefficient, and the answer score coefficient, includes:

According to one or more embodiments of the present disclosure, in the above method, before determining the answer coefficient of the target user group according to the answer data returned by each target user in the target user group, the method further includes:

and according to a preset answer duration threshold, eliminating answer data of which the answer duration of each target user is smaller than the threshold.

According to one or more embodiments of the present disclosure, after the step of pushing the information is finished, the method further includes:

and determining the user level to which the current difficulty coefficient corresponds to the target user group, and storing the corresponding relation between the user level and the current difficulty coefficient.

According to one or more embodiments of the present disclosure, the method further includes:

receiving a test question acquisition request, wherein the acquisition request carries basic information of a user;

determining the user level according to the basic information;

determining a corresponding difficulty coefficient range from a pre-established mapping relation between the user level and the difficulty coefficient range based on the user level;

and acquiring the test questions in the difficulty coefficient range from the test question set according to the difficulty coefficient range.

According to one or more embodiments of the present disclosure, an information pushing apparatus is provided, which includes:

the information pushing module comprises:

According to one or more embodiments of the present disclosure, in the above apparatus, the answer data includes: answering time length, answering times and answering steps;

correspondingly, the answer coefficient determining unit is specifically configured to:

According to one or more embodiments of the present disclosure, the answer coefficient includes an answer duration coefficient, an answer number coefficient, and an answer score coefficient;

correspondingly, the answer coefficient determining unit is further configured to:

and calculating the answer coefficient according to the answer duration coefficient, the answer frequency coefficient, the answer score coefficient and the corresponding preset parameter weights.

According to one or more embodiments of the present disclosure, the answer coefficient determination unit is further configured to:

According to one or more embodiments of the present disclosure, the apparatus may further include: and a data eliminating unit.

In accordance with one or more embodiments of the present disclosure, the information pushing module 30 further includes: and a memory unit.

In accordance with one or more embodiments of the present disclosure, the information pushing module 30 further includes: the device comprises a request receiving unit, a user level determining unit, a difficulty coefficient range determining unit and a test question acquiring unit.

The device comprises a request receiving unit, a test question acquiring unit and a test question processing unit, wherein the request receiving unit is used for receiving a test question acquiring request which carries basic information of a user;

In accordance with one or more embodiments of the present disclosure, there is provided an apparatus comprising:

one or more processors;

a memory for storing one or more programs;

According to one or more embodiments of the present disclosure, a readable medium is provided, on which a computer program is stored, which when executed by a processor implements an information pushing method as described in any embodiment of the present disclosure.

The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other combinations of features described above or equivalents thereof without departing from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.

Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.

Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims

1. An information pushing method, characterized in that the method comprises:

if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not in the difficulty coefficient range corresponding to the target user group, adjusting the current difficulty coefficient according to the answer coefficient of the target user group, taking the adjusted difficulty coefficient as the current difficulty coefficient, and executing the information pushing step again until the current difficulty coefficient is in the difficulty coefficient range corresponding to the target user group.

2. The method of claim 1, wherein said answer data comprises: answering time length, answering times and answering steps;

3. The method according to claim 2, wherein the answer coefficient includes an answer duration coefficient, an answer number coefficient, and an answer score coefficient;

4. The method of claim 3, wherein determining the answer duration coefficient, the answer frequency coefficient and the answer score coefficient of the target user group according to the answer duration, the answer frequency and the answer score of each target user respectively comprises:

5. The method according to claim 3, wherein calculating the answer coefficient according to the answer duration coefficient, the answer number coefficient, the answer score coefficient, and the respective corresponding preset parameter weights comprises:

6. The method according to any one of claims 2 to 5, wherein before determining the answer coefficient of the target user group according to the answer data returned by each target user in the target user group, the method further comprises:

7. The method according to claim 1, wherein after the step of pushing the information, the method further comprises:

8. The method of claim 7, further comprising:

determining the user level according to the basic information;

9. An information pushing apparatus, comprising:

the information pushing module comprises:

and the adjustment control unit is further configured to adjust the current difficulty coefficient according to the answer coefficient of the target user group if the answer coefficient of the target user group is inconsistent with the current difficulty coefficient and is not within the difficulty coefficient range corresponding to the target user group, and execute the information pushing step again with the adjusted current difficulty coefficient as the current difficulty coefficient until the current difficulty coefficient is within the difficulty coefficient range corresponding to the target user group.

10. An apparatus, characterized in that the apparatus comprises:

one or more processors;

a memory for storing one or more programs;

when executed by the one or more processors, cause the one or more processors to implement the information push method of any one of claims 1-8.

11. A readable medium, on which a computer program is stored, which, when being executed by a processor, carries out the information push method according to any one of claims 1 to 8.