CN111291347B

CN111291347B - Biological core guiding method, device and equipment

Info

Publication number: CN111291347B
Application number: CN202010158393.4A
Authority: CN
Inventors: 杨哲
Original assignee: Alipay Hangzhou Information Technology Co Ltd
Current assignee: Alipay Hangzhou Information Technology Co Ltd
Priority date: 2020-03-09
Filing date: 2020-03-09
Publication date: 2022-04-29
Anticipated expiration: 2040-03-09
Also published as: CN111291347A

Abstract

The embodiment of the specification discloses a method, a device and equipment for guiding a biological nucleus. The scheme comprises the following steps: acquiring the use state information of a first user on the biological core body; acquiring characteristic data of the first user based on the use state information; judging whether the first user needs to be guided to use the biological core body or not based on the characteristic data to obtain a judgment result; and when the judgment result shows that the first user needs to be guided to use the biological core body, sending prompt information to the first user, wherein the prompt information is used for guiding the first user to use the biological core body.

Description

Biological core guiding method, device and equipment

Technical Field

The present application relates to the field of computer technologies, and in particular, to a method, an apparatus, and a device for guiding a biological nucleus.

Background

In the prior art, the biological core body is a method for completing identity verification through biological information such as fingerprints, human faces, irises and the like. With the spread of the bio-core, many mature users, active users, have successfully opened and smoothly used the bio-core. Most of the users who newly open the biological nucleus nowadays are the users of the middle-aged and the old and the small cities. This part of users themselves are less familiar with technology products and are also less active on mobile devices. Therefore, although the payment of the biological nuclear body is opened, various problems can be encountered and cannot be solved in the using process, the service of the biological nuclear body is finally closed, and some users even do not use the product of the biological nuclear body.

There is a need to provide an effective solution for guiding a user to use a biometric core.

Disclosure of Invention

In view of this, embodiments of the present application provide a method, an apparatus, and a device for guiding a biological nucleus to effectively guide a user to use the biological nucleus, so as to improve a success rate of the user using the biological nucleus.

In order to solve the above technical problem, the embodiments of the present specification are implemented as follows:

the embodiment of the specification provides a biological nuclear guiding method, which comprises the following steps:

acquiring the use state information of a first user on the biological core body;

acquiring characteristic data of the first user based on the use state information;

judging whether the first user needs to be guided to use the biological core body or not based on the characteristic data to obtain a judgment result;

and when the judgment result shows that the first user needs to be guided to use the biological core body, sending prompt information to the first user, wherein the prompt information is used for guiding the first user to use the biological core body.

The embodiment of this specification provides a biological nuclear body guiding device, includes:

the using state information acquisition module is used for acquiring using state information of the first user on the biological core body;

a feature data acquisition module, configured to acquire feature data of the first user based on the usage state information;

the judging module is used for judging whether the first user needs to be guided to use the biological core body or not based on the characteristic data to obtain a judging result;

and the prompt information sending module is used for sending prompt information to the first user when the judgment result shows that the first user needs to be guided to use the biological core body, wherein the prompt information is used for guiding the first user to use the biological core body.

An embodiment of this specification provides a biological nuclear guiding device, includes:

at least one processor; and the number of the first and second groups,

a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory stores instructions executable by the at least one processor to enable the at least one processor to:

Embodiments of the present specification provide a computer-readable medium, on which computer-readable instructions are stored, where the computer-readable instructions are executable by a processor to implement the above-mentioned biological nuclear guidance method.

The embodiment of the specification adopts at least one technical scheme which can achieve the following beneficial effects:

acquiring the use state information of a first user on the biological core body; acquiring characteristic data of the first user based on the use state information; and judging whether the first user needs to be guided to use the biological nucleus body or not based on the characteristic data, if so, sending prompt information to the first user, wherein the prompt information is used for guiding the first user to use the biological nucleus body, and can provide pointed prompt information aiming at different use states of different users on the biological nucleus body, and the prompt information aims at problems possibly encountered by the first user or measures for coping with misoperation.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a schematic flow chart of a method for guiding a biological nucleus provided in an embodiment of the present disclosure;

fig. 2 is a schematic structural diagram of a biological nuclear guiding system provided in an embodiment of the present disclosure;

fig. 3 is a schematic structural diagram of a biological nuclear guiding device corresponding to fig. 1 provided in an embodiment of the present disclosure;

fig. 4 is a schematic structural diagram of a biological nuclear guiding apparatus corresponding to fig. 1 provided in an embodiment of the present disclosure.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The biological core body is a method for completing identity verification through biological information such as fingerprints, human faces, irises and the like. With the popularization of the biological nucleus body, most of users who newly turn on the biological nucleus body are users of middle-aged and old people and small cities. This part of users themselves are less familiar with technology products and are also less active on mobile devices. Therefore, although the payment of the biological nuclear body is opened, various problems can be encountered and cannot be solved in the using process, the service of the biological nuclear body is finally closed, and some users even do not use the product of the biological nuclear body. In order to better guide the user to complete the biological nucleus body, a method for correctly using the biological nucleus body can be transmitted to the user by adopting a biological nucleus body guide method, so that the success rate of the user for adopting the biological nucleus body is improved, and the user experience is improved.

However, the existing biometric core body guiding method only transmits the user saving page when the user closes the biometric core body, and this method has many disadvantages:

1. the user enters a user saving page indicating that the bio-nuclear physical verification has been in progress for a period of time, at which time an educational saving is made with a success rate of only 1.3%. So a large number of users may turn off the biometric core or become a lost user of the payment instrument.

2. The biological core body guiding page is in a fixed style and does not conduct personalized guiding aiming at different users.

Based on the analysis, the existing biological nucleus body guiding method has no targeted suggestion on the user, so that the help on the user is not great, and a large amount of biological nucleus body users are lost.

In order to solve the above problems, the present specification provides a method for guiding a biometric nuclear body, which can guide a user in a targeted manner according to a usage state of the biometric nuclear body by the user, so as to improve a success rate of the user using the biometric nuclear body, and retain more users using the biometric nuclear body, thereby improving user experience.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

Example one

Fig. 1 is a schematic flow chart of a method for guiding a biological nucleus according to an embodiment of the present disclosure. From the viewpoint of a program, the execution subject of the flow may be a program installed in an application server or an application client.

As shown in fig. 1, the process may include the following steps:

step 102: acquiring the use state information of the first user on the biological core body.

The biological core body is a method for completing identity verification through biological information such as fingerprints and human faces.

The use state information of the bio-core body may be understood as a current use state of the user for the bio-core body. The current usage state of the bio-core body may be a part of the entire usage process for the bio-core body product, such as turning on the bio-core body product, using the bio-core body product, turning off the bio-core body product, or the user does not use the bio-core body product for a long time, and so on.

The current use state of the biometric core may also be a part of the entire process of identity authentication using the biometric core, such as the process of collecting biometric information before the biometric core is selected but the biometric information is not collected, and the biometric core is finished after the biometric information authentication result.

Causing the server to perform the step of obtaining the usage state information of the first user for the biometric core, a triggering condition may exist, such as certain actions by the user may trigger the server to perform step 102. Taking opening the bio-core body as an example, when the user selects opening the bio-core body, the client receives and forwards information of opening the bio-core body by the user to the server, and after receiving the information, the server first determines the user information of the information, and then executes step 102. Specifically, before the acquiring the use state information of the first user on the biological core, the method further includes:

acquiring trigger information;

and determining the first user according to the trigger information.

The trigger information may be a click operation of the user, such as clicking a button for opening the biometric core, or may be trigger information generated by the client according to a preset rule, and if the first user does not use the biometric core for identity verification within a preset time, the client may generate information that the first user is in a silent state according to the condition, and then send the information to the server.

It should be noted that the "first" in the first user is only used to distinguish different users, so as to avoid confusion, and has no other special meaning.

Step 104: and acquiring characteristic data of the first user based on the use state information.

The characteristic data is data that may be understood as relating to the first user to the biometric identity, and may be used to indicate some potential problem with the first user in using the biometric identity or cause of a failure of the first user to the biometric identity.

The characteristic data may include various categories such as behavior data, environmental data, and population data of the user in using the biometric core.

The behavior data of the user in the process of using the biological core body can be the completeness, definition, shooting angle of a shot face image, definition of fingerprint information and the like, and can also comprise data related to the biological core body, such as success rate of the biological core body, use frequency and the like.

The environmental data of the user using the biological core body can comprise the illumination intensity, the time (day or night), and the humidity of the mobile phone (which can be obtained by a mobile phone sensor, if the humidity is too high, the fingerprint is not easy to pass through).

The frequency and success rate of the user's use of the biometric core may also be affected by the user's age, gender, city, payment preferences, intra-terminal activity, etc. Thus, the acquired feature data may further include: age data, gender data, city data, payment preference data, and/or individual group data of intra-terminal activity data.

In addition, the experience and success rate of the user biological core body can be influenced by the user performing the hardware configuration of the biological core body terminal, for example, a mobile phone or a computer, and therefore, the feature data may further include parameters of hardware devices such as the system type, the model price, the camera definition, and the like of the terminal.

It should be noted that, if the usage status information of the biological core is different, the acquired feature data may be different. The kind of the characteristic data is related to the usage state information.

Step 106: and judging whether the first user needs to be guided to use the biological core body or not based on the characteristic data to obtain a judgment result.

Since the feature data can characterize whether the first user has reasons that the physical examination using the biological core is not good or the biological core is easy to fail from different dimensions, whether the first user needs targeted guidance can be judged based on the feature data. For example, in the stage of opening the biometric identity, if the first user is a user in a city of the same city and with a small age, it can be assumed that the first user is more proficient in using the electronic device and is likely to receive new things, and thus, a prompt for a special biometric identity is not required. If the first user is an elderly person, there may be a low frequency of use of the electronic device, a low chance of contacting the biometric core, and it is not clear how to use the electronic device for operations such as taking a picture, and it may be inferred that the first user needs to perform biometric core guidance. The above examples are for illustrative purposes only and are not to be construed as further limiting step 106.

In one embodiment, the first user may be classified according to the characteristic data and then determined whether the first user needs to be guided according to a different classification.

Step 108: and when the judgment result shows that the first user needs to be guided to use the biological core body, sending prompt information to the first user, wherein the prompt information is used for guiding the first user to use the biological core body.

The prompt may be determined based on the characteristic data of the first user, or based on the type of the user if the user is classified based on the characteristic data.

The above-mentioned prompt information may include various information for prompting the biological core, such as what angle is taken for photographing, how to obtain a high-definition image, and the like.

In addition, different prompt information can be determined according to different types of the biological core, for example, different prompt information can be provided for face recognition, fingerprint recognition and iris recognition.

The prompt message may include one or more of text message, image message, video message or audio message according to different situations.

The method of fig. 1, by obtaining information on a use status of a first user for a biometric core; acquiring characteristic data of the first user based on the use state information; and judging whether the first user needs to be guided to use the biological core body or not based on the characteristic data, if so, sending prompt information to the first user, wherein the prompt information is used for guiding the first user to use the biological core body, and can provide pointed prompt information aiming at different use states of different users in the biological core body so as to effectively guide the user to correctly use the biological core body, thereby improving the success rate of using the biological core body by the user and improving the user experience.

Based on the method of fig. 1, the embodiments of the present specification also provide some specific implementations of the method, which are described below.

In order to better and more efficiently guide the user to use the biometric core correctly, the prompt sent to the first user may be determined according to the type of the first user, for example, the first user may be classified using a pre-trained classification model. Specifically, before sending the prompt message to the first user, the method may further include:

analyzing the characteristic data by adopting a classification model to obtain the type of the first user;

and determining prompt information corresponding to the type.

In this embodiment, the classification model may adopt a clustering model or a deep learning model, and may be specifically selected according to actual conditions.

The type of the first user may be classified according to different principles. For example, classification is made according to how high or low a problem easily occurs in the biological core, such as a high risk type, a medium risk type, and a low risk type; the method can also be classified according to the types of problems which are easy to appear in the biological nucleus, such as the type corresponding to the crowd problem, the type corresponding to the environmental problem and the type corresponding to the terminal hardware problem; in addition, the biological nuclear failure can be classified according to various specific reasons causing the biological nuclear failure, such as the type of the biological nuclear failure caused by abnormal light brightness, the type of the biological nuclear failure caused by abnormal definition of a face image, the type of the biological nuclear failure caused by abnormal integrity of the face image, and/or the type of the biological nuclear failure caused by abnormal humidity of fingers. Of course, other principles may be used to classify users according to the needs, which are not listed here.

The type corresponding to the crowd problem can be determined according to factors such as age data, city data, intra-terminal activity data and the like. The activity in the terminal can be understood as the number of times of logging in, operating or paying by a user in a certain APP or software, the total use time and the like.

For example, it may be determined whether the first user is an elderly user based on the age data, and if so, it may be determined that the type of the first user is an elderly user type, which is of a high risk type. Considering that the biological nucleus body is used less by the user, the user can be guided when the biological nucleus body is opened, the user is informed that how to operate the biological nucleus body is easier to succeed, and the user is informed of correctly placing the position of the mobile phone, paying attention to light not too strong and the like for face brushing operation.

In addition, whether the first user frequently uses the electronic device is determined based on the city data of the user and the activity data in the terminal, if not, the type of the first user can be determined to be a device operation-less type and belongs to a high-risk type, and then, when the first user uses the biological core, special guidance is needed, for example, how to acquire a high-definition face image and the like.

If it is determined that the first user is young based on age data, city data, intra-terminal activity data, etc., and the electronic device is frequently used, it may be determined that the first user is of a low risk type, and the first user may not be specifically guided when using the biometric core.

It should be noted that in some specific scenarios, the type of the user may be a middle-aged user type, a small device operation type, a high risk type, or a low risk type.

According to the type of the first user, prompt information for guiding the first user to use the biological nucleus can be determined, the prompt information is a countermeasure aiming at problems possibly encountered by the first user or misoperation, the user can well complete the biological nucleus by operating according to the prompt information, and accordingly targeted biological nucleus guiding is achieved.

In addition, the type of the first user may also be used to determine whether the first user needs to perform the biometric nuclear guidance, and if the type of the first user is a low-risk type, it may be determined that the first user does not need to perform the biometric nuclear guidance, or does not need to perform the targeted biometric nuclear guidance, and only needs to send notification information for all users.

The classification model can be trained in advance by adopting a training sample, and the training process of the classification model can adopt the following method:

acquiring feature data of a plurality of second users to form a feature data training set, wherein the second users are users who fail to use the biological nucleus;

and training a plurality of groups of feature data in the feature data training set to obtain a classification model.

The training data of the classification model can adopt feature data of a plurality of second users, and correspond to a certain APP or application software, the second users are registered users of the APP or application software firstly, and the first users open and use the biological core functions of the APP or application software. Secondly, the second user experiences the experience of using the biological nucleus body failure, and the failure of using the biological nucleus body can be understood as a user who fails to use the biological nucleus body for multiple times, or a user with a low success rate of the biological nucleus body, or a user who fails to close the function of the biological nucleus body due to the poor experience of the biological nucleus body. If feature data of a plurality of second users are mined, common factors causing the biological nuclear failure can be obtained, for example, the age of the second users with the biological nuclear failure generally exceeds a certain age, such as 50 years old, and then the users with the age exceeding 50 years old can be determined to have the biological nuclear obstacle. Through the analysis, the feature data of a plurality of second users can be adopted for training to obtain a classification model corresponding to the feature data, the classification model can determine the type of the first user aiming at the biological nuclear body according to the feature data of the first user, and the first user is determined to be prompt information for biological nuclear body guiding according to the type.

In addition, along with the use of the biological nucleus by the user, the number of the second users can be increased continuously, and the newly-increased feature data of the second users can continuously enrich the training data of the classification model, so that the accuracy of the classification model is improved.

The feature data of the second user can be obtained by various methods, for example, the feature data of the second user obtained by a telephone return visit method is obtained; and/or, obtaining characteristic data of the second user obtained by way of a questionnaire. The user who has poor biological core physical examination or closes the biological core body is called back to inquire the reason of poor experience, and a questionnaire is designed and put in the client to know the reason of poor user experience or close the biological core body.

Through telephone return visit and questionnaire, the most accurate user experience information of the user can be obtained, and compared with the method that the data is only analyzed through operation, the most concerned and most concerned places of the user can be found, so that the biological nuclear product can be better optimized, and the user experience is improved.

The characteristic data can refer to the related explanation of step 104, and will not be described in detail.

The scheme provided by the embodiment of the specification can be applied to the whole life cycle management of the biological nuclear body, the whole link monitors the nuclear body experience of the user from the time when the user turns on the biological nuclear body to the time when the user turns off the biological nuclear body, and the education guidance is implemented in time.

Example two-open scenario

In this scenario, in step 102, the obtaining feature data of the first user based on the usage status information may specifically include:

when the use state information indicates that the first user requests to open the biological core body, acquiring the crowd data of the first user;

before the sending of the prompt message to the first user, the method may further include:

determining a cause of likely failure of the first user biometric based on the demographic data;

determining a prompt based on the reason, the prompt being used to guide the first user to avoid a failure of the biometric core based on the reason.

In this scenario, since the user applies for opening the biometric core, only the crowd data of the first user can be obtained, and the crowd data may include: age data, gender data, city data, payment preference data, and/or intra-terminal liveness data. When the user opens the biological core body, the clustering method can be adopted to screen out the users with problems easily occurring in the biological core body when the biological core body is reminded to the user. For example, the middle-aged and elderly users can be determined based on age data, and in consideration of the fact that the users rarely use the biological core body, the users can be guided when opening the biological core body, so that the users are informed of how to operate the biological core body more easily and successfully, and the users are informed of correctly placing the mobile phone position, paying attention to light not too strong and the like for face brushing operation. In addition, whether the electronic equipment is frequently used by the user can be determined based on the city data and the activity data in the terminal, and if not, special guidance is needed, such as how to acquire a high-definition face image and the like.

In addition, in this scenario, terminal hardware information used by the first user, such as model, operating system, and resolution of the camera, may also be obtained. If the used model is backward or the resolution ratio of the camera is low, the user can be reminded to collect the biological characteristic information for multiple times, the server or the terminal can select the optimal biological characteristic information, and the user is reminded to collect the biological information in the environment with good light, so that the biological characteristic information with higher quality can be obtained.

Example III BioNuclear usage scenarios

The usage scenario of the biometric identity may be understood as a scenario in which the first user performs identity authentication using the biometric identity, and specifically, may be a payment scenario or an account login scenario.

In this scenario, step 102, the obtaining feature data of the first user based on the usage state information may specifically include:

when the use state information indicates that the first user's biological core is unsuccessful, acquiring behavior data of the first user in the biological core process;

determining abnormal data existing in the behavior data;

and determining prompt information aiming at the abnormal data, wherein the prompt information is used for prompting the first user to correct the behavior corresponding to the abnormal data.

When a user uses the biological nucleus body to carry out identity authentication, most authentication failures are often caused by improper operation of the user, but in the prior art, the user is only informed of the authentication result, but the reason for causing the biological nucleus body failure is not analyzed, so that the user is reminded to avoid the improper operation. In order to improve user experience and improve the success rate of the biological core, in this embodiment, after the biological core fails, behavior data of the user in the biological core process is acquired, then abnormal data is determined, then a reason for generating the abnormal data is found, and then prompt information is generated according to the reason to prompt the user to correct a behavior corresponding to the abnormal data.

The exception data may include: light brightness anomaly data, face image sharpness anomaly data, face image integrity anomaly data, and/or finger humidity anomaly data.

If the abnormal data is the abnormal data of the light brightness, the abnormal data can indicate that the first user is in an environment with brighter light or darker light when the first user collects the face image, and at the moment, the abnormal data can be generated according to the reason to remind the user of collecting the face image in the environment with proper light, so that the abnormal data is prevented from being in an environment with direct sunlight or light or being in a dark environment.

If the abnormal data is abnormal face image definition data, it can be shown that the definition of the face image does not meet the preset requirement, and at this time, it needs to be determined whether the data is caused by environmental factors or caused by the resolution of a camera of a user. If the situation that the image is not clear due to the resolution of the camera is eliminated, the user can be prompted to avoid acquiring facial image information in an environment with too bright or too dark light, or turn on a flash lamp in a dark environment, and the like.

According to the method, if the biological body verification is unsuccessful, a solution that the body verification is unsuccessful when the transaction is finished is popped up to the user after the user closes the current transaction, and the user is guided to continuously finish the payment. Therefore, the problem can be found as early as possible, the problem can be solved in time, and the repeated biological nucleus failure of the user can be avoided, so that the biological nucleus can be closed.

Example four-silencing scenarios

After some users open the biological nuclear body, a behavior of not using the biological nuclear body for payment or login for a long time may occur, and for such users, there may be two situations, one is that the user experiences poor experience on the biological nuclear body, and the other is that a behavior of using the biological nuclear body for payment does not occur for a long time. For this case, the embodiment provides a method of prompting the user.

Specifically, the obtaining of the feature data of the first user based on the usage state information may specifically include:

when the use state information indicates that the first user does not use the biological nuclear body for a long time, acquiring the crowd data and/or the biological nuclear body behavior data of the first user;

determining a type of the first user based on the demographic data and the biometric personal behavior data;

determining a reminder based on the type, the reminder for guiding the first user to avoid a failure of a biometric core based on the common cause.

For some users who often do not have payment behaviors, the first user is subjected to crowd clustering according to crowd data or biological core behavior data to obtain the type of the first user. This type is associated with problems that a user may encounter when not using the bio-core for a long time. And then determining prompt information according to the type and sending the prompt information to the first user.

For example, if the first user forgets that the payment by face brushing is started, then seeing the face brushing at the later payment may feel uncomfortable, then the prompt message may prompt the first user that the payment by face brushing is started, please feel confident to use, and some common problems of face brushing payment.

If the first user or the middle-aged and old-aged users are found according to the crowd clustering result, the first user or the middle-aged and old-aged users can be pointed according to the characteristics of the middle-aged and old-aged users, for example, how to adjust the angle or the distance of a mobile phone to obtain the facial image information meeting the requirements.

In addition, the reason that the first user has poor biological core physical experience can be summarized according to the biological core data before the first user, and then targeted information prompt is carried out according to the reason.

Example five-off scenario

When a user does not well want to close the biological nucleus body by using the biological nucleus body test, the existing method also carries out information prompt, but the prompt information is fixed and has no text information with practical meaning, such as' do you determine to close the biological nucleus body? Such a prompt message does not successfully save the user, but causes the user to feel the sense of incongruity, and therefore does not provide a real effect. In addition, a user-saved page, which often includes all relevant information and notes of the biometric nuclear body, is substantially similar to "do you decide to close the biometric nuclear body? "no distinction, and no successful reservation of the user.

In view of the above problem, an embodiment of the present disclosure provides a scheme for providing different prompt information for different nuclear physical tests, and the step 102, acquiring feature data of the first user based on the use state information may specifically include:

when the use state information indicates that the first user requests to close the biological core body, acquiring all biological core body behavior data of the first user from opening to closing of the biological core body;

before sending the prompt message to the first user, the method may further include:

determining a cause of the first user biometric identity failure based on the overall biometric identity behavior data;

determining prompt information based on the reason, the prompt information being used to guide the first user to avoid causing a failure of a biometric core based on the reason and to invite the first user to continue using the biometric core.

The scheme can be used for guiding retrieval according to the problems encountered in the user's historical payment, for example, the user often fails fingerprint verification, the prompt message can prompt the user to pay attention to the position of the finger, the finger is not wet, and the like. Because of the pointed prompt information of each user, the probability of effectively reading the prompt information by the user is greatly improved, and the reason for the failure of the biological core body is found, so that the user can be successfully saved.

In addition, in the scene, the reason that the user experiences poor biological nuclear body can be collected in the form of questionnaires to improve the training data of the classification model, so that the accuracy of the classification model is improved, prompt information is determined according to the user type, and the accuracy of the prompt information can be improved.

Specifically, the method may further include:

sending a biometric body questionnaire to the first user, the biometric body questionnaire for obtaining a reason why the first user turned off the biometric body or did not use the biometric body.

It should be noted that the questionnaire may be sent to the first user after the first user turns off the biometric core, or may be sent after the first user requests to turn off the biometric core, that is, before the first user finally turns off the biometric core.

In addition, for all the above methods, the above method may also be performed in an ABtest form, that is, one part of users (first users) adopt the scheme, and the other part of users (third users) do not adopt the scheme, that is, adopt the scheme in the prior art. And monitoring the core success rate and the payment success rate of the user population of the two schemes in real time, determining whether the scheme has a good effect according to the monitoring result, and adjusting the guiding strategy in real time according to the monitoring result. If the scheme is good in effect, the scheme can be adopted for a third user. In addition, if a problem is found when the scheme is used, adjustment can be performed in time, and the test risk is reduced.

According to the scheme, various characteristic data (such as the age, the sex, the city where the user is located, payment preference, the activity condition in the terminal and the like) of the user with the biological nucleus failure are obtained in a telephone communication and questionnaire mode, environment is illumination intensity, time is in the daytime and at night, humidity is in the environment (the mobile phone sensor can obtain the environment, fingerprints cannot pass easily if the humidity is too high), type of the system is in the environment, type price and camera definition, reasons influencing the biological nucleus of the user are obtained through analysis, countermeasures are found according to the reasons, different guiding methods are provided in specific application scenes, the user is effectively guided to use the biological nucleus, and the success rate of the user using the biological nucleus is improved. The method specifically comprises the following technical effects:

1. according to the scheme, the user is not only recovered in the closed scene, but the whole life cycle of the user is monitored, and the problem is found and solved in time. Therefore, the experience and the recovery rate of the user are greatly improved.

2. The most accurate user experience information of the user can be obtained through telephone return visit and questionnaire in the perception module, and compared with the method that the user can find the most concerned and most concerned place only through operation analysis of data, the most concerned and most concerned place of the user can be found, so that the biological nucleus product can be better optimized, and the user experience is improved.

3. The education guide page is not a fixed pattern any more, the detection module is used for clustering the users, and personalized guide pages are output to the users with different experiences, so that the retrieval rate is improved.

Based on the method, the embodiment of the specification further provides a biological nuclear guiding system.

Fig. 2 is a schematic structural diagram of a biological nucleus guiding system according to an embodiment of the present disclosure. As shown in fig. 2, the apparatus may include: a perception module 202, a detection module 204, and a guidance module 206. Wherein the perception module 202 precipitates the cause and dimension for the detection module 204 and the guidance module 206; the detection module 204 provides data support such as crowd clustering, personalized recommendation and the like for the guide module; the bootstrap module 206 precipitates more attribution data for the perception module 202. The three modules complement each other to guide the user to correctly use the biological nucleus.

The sensing module 202 is configured to precipitate the reason that the user experience is not good and the data monitoring dimension, and specifically includes:

(1) call return visit: the user who has poor biological nucleus physical examination or closes the biological nucleus body is called back to inquire the reason of poor experience;

(2) questionnaires: designing a questionnaire to be put in a terminal, and knowing the reason that the user experience is poor or the biological core body is closed;

(3) experience analysis: analyzing the core situation of the user in the whole Ali economy body, finding out the data dimension influencing the user experience, and providing support for the subsequent monitoring of the large disk;

(4) a cause library: according to the investigation and analysis of the user, various problems possibly encountered by the user in the process of using the biological nucleus are precipitated, and support is provided for the subsequent personalized guide link.

The detection module 204, as a data engine, connects the sensing module and the guiding module in series, and analyzes abnormal data. The method specifically comprises the following aspects:

(1) clustering the crowd: and classifying the crowd according to the historical core experience of the user and the attribution information of the perception module, and providing support for people who are guided by the follow-up guide module.

(2) Monitoring the large disc: monitoring the core-body success rate and the payment success rate of the clustered people in the step (1), and monitoring the ABtest grouping of the solution found in the step (4).

(3) Abnormality detection: and (3) carrying out real-time detection on the abnormity of the core link by using an abnormity detection algorithm such as time sequence index abnormity detection (STL) and the like, and timely finding out the abnormal condition according to real-time monitoring data.

(4) The reason is as follows: dimension down-probing (dimension precipitated using the perception module) is performed on the results of anomaly detection, finding the cause of the anomaly, and attempting to find a solution.

The guidance module 206, which is used for performing educational guidance on the user from the user turning on to being active to turning off, covers the whole life cycle of the biological core body, and specifically comprises:

(1) opening a scene: when the user opens the biological core body, people who may not experience well are circled through the algorithm to display the 'biological core body education guide' link, and the user can open the biological core body after browsing.

(2) Payment scenario: in the payment process of the user, if the biometric verification is unsuccessful, after the user closes the current transaction, a solution that the biometric verification is unsuccessful when the transaction is popped up to the user, and the user is guided to continuously finish the payment.

(3) A silent scene: if the user does not pay for a long time, the problem that the physical verification is not smooth is likely to happen in the next payment, and therefore a 'biological nuclear education guide' link can be exposed at the waist seal of the home page of the app.

(4) Closing a scene: there are some users that fail the biometric verification, resulting in the portion of the user entering the biometric verification close page. At this page, the educational guidance of the core questions previously encountered by the user is retrieved.

The scheme firstly provides the application of education guide in the biological nuclear scene, and has the innovation points that:

(1) multi-module solution: the system formed by three modules which can independently operate and are mutually associated is used, so that the problems can be found in time and the education guidance can be accurately issued.

(2) Managing the whole life cycle: from the time when the user turns on the biological core body to the time when the biological core body is active to the time when the biological core body is off, the whole link monitors the core body experience of the user and implements education guide in time.

(3) Attribution to library precipitation: the attribution library is obtained not only through data analysis, but also through real return visit of a user, and data are more accurate.

(4) The discovery of new problems: and (4) guiding the education of the biological nuclear body.

Based on the same idea, the embodiment of the present specification further provides a device corresponding to the above method. Fig. 3 is a schematic structural diagram of a biological nuclear guiding device corresponding to fig. 1 provided in an embodiment of the present disclosure. As shown in fig. 3, the apparatus may include:

a use state information obtaining module 302, configured to obtain use state information of the first user on the biometric core;

a feature data obtaining module 304, configured to obtain feature data of the first user based on the usage status information;

a judging module 306, configured to judge whether to guide the first user to use the biometric core based on the feature data, so as to obtain a judgment result;

a prompt message sending module 308, configured to send a prompt message to the first user when the determination result indicates that the first user needs to be guided to use the biometric core, where the prompt message is used to guide the first user to use the biometric core.

The apparatus of fig. 3, by obtaining the use status information of the first user for the biometric core; acquiring characteristic data of the first user based on the use state information; and judging whether the first user needs to be guided to use the biological core body or not based on the characteristic data, if so, sending prompt information to the first user, wherein the prompt information is used for guiding the first user to use the biological core body, and can provide pointed prompt information aiming at different use states of different users in the biological core body so as to effectively guide the user to correctly use the biological core body, thereby improving the success rate of using the biological core body by the user and improving the user experience.

In one or more embodiments of the present specification, the feature data acquiring module is specifically configured to acquire crowd data of the first user when the usage status information indicates that the first user requests to turn on a biological core;

the apparatus may further include:

a first cause determination module to determine a cause that is likely to cause a biometric failure of the first user based on the demographic data;

and the first prompt information determining module is used for determining prompt information based on the reason, and the prompt information is used for guiding the first user to avoid the biological nuclear failure based on the reason.

In one or more embodiments of the present specification, the feature data acquiring module is specifically configured to acquire behavior data of the first user in a biometric process when the usage status information indicates that the biometric identity of the first user is unsuccessful;

the apparatus may further include:

the abnormal data determining module is used for determining abnormal data existing in the behavior data;

and the second prompt information determining module is used for determining prompt information aiming at the abnormal data, and the prompt information is used for prompting the first user to correct the behavior corresponding to the abnormal data.

In one or more embodiments of the present specification, the characteristic data acquiring module is specifically configured to acquire the crowd data and/or the biometric identity behavior data of the first user when the usage status information indicates that the first user has not used the biometric identity for a long time;

the apparatus may further include:

a type determination module to determine a type of the first user based on the demographic data and the biometric behavioral data;

and the third prompt message determining module is used for determining prompt messages based on the types, and the prompt messages are used for guiding the first user to avoid the biological nuclear failure caused by the common reasons.

In one or more embodiments of the present specification, the feature data acquiring module is specifically configured to acquire all the biometric identity behavior data of the first user from the biometric identity opening to the biometric identity closing when the usage status information indicates that the first user requests to close the biometric identity;

the apparatus may further include:

a second cause determination module to determine a cause of the first user biometric identity failure based on the overall biometric identity behavioral data;

and the fourth prompt information determining module is used for determining prompt information based on the reason, and the prompt information is used for guiding the first user to avoid the biological core body failure caused by the reason and inviting the first user to continue using the biological core body.

In one or more embodiments of the present description, the apparatus may further include:

the user type determining module is used for analyzing the characteristic data by adopting a classification model to obtain the type of the first user;

and the fifth prompt information determining module is used for determining the prompt information corresponding to the type.

the characteristic data training set acquisition module is used for acquiring characteristic data of a plurality of second users to form a characteristic data training set, wherein the second users are users who fail to use the biological nucleus;

and the classification model training module is used for training a plurality of groups of characteristic data in the characteristic data training set to obtain a classification model.

In one or more embodiments of the present specification, the acquiring feature data of a plurality of second users may specifically include:

acquiring feature data of a second user obtained in a telephone return visit mode;

and/or the presence of a gas in the gas,

characteristic data of the second user obtained by means of a questionnaire are acquired.

In one or more embodiments of the present description, the demographic data includes: age data, gender data, city data, payment preference data, and/or intra-terminal liveness data.

In one or more embodiments of the present description, the exception data includes: light brightness anomaly data, face image sharpness anomaly data, face image integrity anomaly data, and/or finger humidity anomaly data.

a questionnaire sending module, configured to send a biometric identity questionnaire to the first user, where the biometric identity questionnaire is used to obtain a reason why the first user turns off the biometric identity or does not use the biometric identity.

Based on the same idea, the embodiment of the present specification further provides a device corresponding to the above method.

Fig. 4 is a schematic structural diagram of a biological nuclear guiding apparatus corresponding to fig. 1 provided in an embodiment of the present disclosure. As shown in fig. 4, the apparatus 400 may include:

at least one processor 410; and the number of the first and second groups,

a memory 430 communicatively coupled to the at least one processor; wherein the content of the first and second substances,

the memory 430 stores instructions 420 executable by the at least one processor 410 to enable the at least one processor 410 to:

Based on the same idea, the embodiments of the present specification further provide a computer readable medium corresponding to the above method, where the computer readable medium has stored thereon computer readable instructions, where the computer readable instructions are executable by a processor to implement the following steps:

In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an Integrated Circuit chip, such programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean expression Language), ahdl (alternate Language Description Language), traffic, pl (core universal programming Language), HDCal (jhdware Description Language), lang, Lola, HDL, laspam, hardward Description Language (vhr Description Language), and vhjrag-Language (Hardware Description Language), which are currently used by most commonly. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.

The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, AtmelAT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.

As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.

The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.

The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium which can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A method of biological nuclear guidance, comprising:

when the judgment result shows that the first user needs to be guided to use the biological core body, sending prompt information to the first user, wherein the prompt information is used for guiding the first user to use the biological core body;

before sending prompt information to the first user, the method further comprises:

and determining prompt information corresponding to the type.

2. The method of claim 1, prior to said analyzing said feature data using a classification model, further comprising:

3. The method according to claim 2, wherein the acquiring of the feature data of the plurality of second users specifically comprises:

and/or the presence of a gas in the gas,

4. The method according to claim 1, wherein the obtaining the feature data of the first user based on the usage status information specifically includes:

before the sending of the prompt message to the first user, the method further includes:

5. The method according to claim 1, wherein the obtaining the feature data of the first user based on the usage status information specifically includes:

determining abnormal data existing in the behavior data;

6. The method according to claim 1, wherein the obtaining the feature data of the first user based on the usage status information specifically includes:

determining a reminder based on the type, the reminder for guiding the first user to avoid a failure of the biometric identity based on a common cause.

7. The method according to claim 1, wherein the obtaining the feature data of the first user based on the usage status information specifically includes:

8. The method of claim 4 or 6, the demographic data comprising: age data, gender data, city data, payment preference data, and/or intra-terminal liveness data.

9. The method of claim 5, the anomaly data comprising: light brightness anomaly data, face image sharpness anomaly data, face image integrity anomaly data, and/or finger humidity anomaly data.

10. The method of claim 6 or 7, further comprising:

11. A biological nucleus guide apparatus comprising:

a prompt message sending module, configured to send a prompt message to the first user when the determination result indicates that the first user needs to be guided to use the biometric core, where the prompt message is used to guide the first user to use the biometric core;

and determining prompt information corresponding to the type.

12. The apparatus of claim 11, wherein the characteristic data obtaining module is specifically configured to obtain the demographic data of the first user when the usage status information indicates that the first user requests to turn on a biometric identity;

the device further comprises:

13. The apparatus according to claim 11, wherein the characteristic data acquiring module is specifically configured to acquire behavior data of the first user in the biometric verification process when the usage status information indicates that the biometric verification of the first user is unsuccessful;

the device further comprises:

14. The apparatus according to claim 11, wherein the characteristic data acquiring module is specifically configured to acquire the crowd data and/or the biometric identity behavior data of the first user when the usage status information indicates that the first user has not used the biometric identity for a long time;

the device further comprises:

and the third prompt information determining module is used for determining prompt information based on the type, and the prompt information is used for guiding the first user to avoid the biological nuclear failure caused by common reasons.

15. The apparatus according to claim 11, wherein the characteristic data acquiring module is specifically configured to acquire all the biometric identity behavior data of the first user from biometric identity on to biometric identity off when the usage status information indicates that the first user requests to turn off the biometric identity;

the device further comprises:

16. A bio-nuclear guidance device comprising:

at least one processor; and the number of the first and second groups,

and determining prompt information corresponding to the type.

17. A computer readable medium having stored thereon computer readable instructions executable by a processor to implement the method of bio-nuclear guidance of any one of claims 1 to 10.