Information processing method and device, server and electronic equipment

Abstract

The invention provides an information processing method and device, a server and electronic equipment, and the information processing method comprises the steps: sending recommendation information to the electronic equipment, and enabling a target user corresponding to the electronic equipment to carry out anti-fraud training through the recommendation information; receiving response information sent by the electronic equipment and obtained by the target user through anti-fraud training based on the recommendation information; prompt information is generated according to the response information, the prompt information is sent to the electronic equipment, and the prompt information is used for prompting the target user of the anti-fraud information needing to be learned. Therefore, a mode of actively learning the anti-fraud information is provided, meanwhile, in the anti-fraud training process, the impression of the target user on the anti-fraud information is deepened, the active receiving degree of the user is improved, and the propaganda effect of the anti-fraud information is enhanced; and the anti-fraud awareness of the target user can be enhanced, and the propaganda effect of the anti-fraud information is further enhanced.

Description

Technical Field

[0001] The present application relates to the field of information processing technology, and in particular to an information processing method, device, server and electronic device. Background Art

[0002] With the continuous development of electronic technology, electronic devices have brought great convenience to people's lives, but they have also provided shortcuts for some fraudsters. At present, anti-fraud information is usually promoted through voice calls, text messages, public welfare activities, community posters, flat-screen TV media, etc. However, the above methods are mainly passive publicity, resulting in low user active acceptance. It can be seen that there is currently a lack of a way to actively learn anti-fraud information. Summary of the invention

[0003] The embodiments of the present application provide an information processing method, device, server and electronic device to solve the problem of lack of a method for actively learning anti-fraud information.

[0004] In order to solve the above technical problems, this application is implemented as follows:

[0005] In a first aspect, an embodiment of the present application provides an information processing method, including:

[0006] Sending recommendation information to an electronic device, where the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device;

[0007] Receiving response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information;

[0008] Prompt information is generated according to the response information, and the prompt information is sent to the electronic device, where the prompt information is used to prompt the target user of anti-fraud information that needs to be learned.

[0009] In a second aspect, an embodiment of the present application provides an information processing method, including:

[0010] receiving recommendation information sent by a server, wherein the recommendation information is used for anti-fraud training for a target user corresponding to the electronic device;

[0011] Generate response information obtained by the target user performing anti-fraud training based on the recommendation information, and send the response information to the server;

[0012] Receive prompt information sent by the server, where the prompt information is information generated by the server according to the response information, and the prompt information is used to prompt the target user of anti-fraud information that needs to be learned.

[0013] In a third aspect, an embodiment of the present application further provides an information processing device, including:

[0014] A first sending module, used to send recommendation information to an electronic device, where the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device;

[0015] A first receiving module, configured to receive response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information;

[0016] The first generating module is used to generate prompt information according to the response information and send the prompt information to the electronic device, wherein the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

[0017] In a fourth aspect, an embodiment of the present application further provides an information processing device, including:

[0018] A second receiving module, configured to receive recommendation information sent by a server, wherein the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device;

[0019] A second generating module is used to generate response information obtained by the target user performing anti-fraud training based on the recommendation information, and send the response information to the server;

[0020] The third receiving module is used to receive the prompt information sent by the server, where the prompt information is information generated by the server according to the response information, and the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

[0021] In the fifth aspect, an embodiment of the present application also provides an electronic device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the information processing method described in the first aspect or the second aspect when executing the computer program.

[0022] In a sixth aspect, an embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps in the information processing method described in the first aspect or the second aspect are implemented.

[0023] In an embodiment of the present application, the target user can perform anti-fraud training on the electronic device based on the recommended information, thereby providing a way to actively learn anti-fraud information. At the same time, during the anti-fraud training process, the target user's impression of the anti-fraud information is deepened, the user's active acceptance is improved, and the publicity effect of the anti-fraud information is enhanced; at the same time, prompt information can also be generated based on the response information, and the prompt information is used to prompt the target user of the aspects that need to be strengthened in anti-fraud, thereby enhancing the target user's anti-fraud awareness and further enhancing the publicity effect of the anti-fraud information. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the description of the embodiments of the present application will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0025] Figure 1 is a flow chart of an information processing method provided by an embodiment of the present application;

[0026] Figure 2 is a flowchart of another information processing method provided by an embodiment of the present application;

[0027] Figure 3 is a flowchart of another information processing method provided by an embodiment of the present application;

[0028] Figure 4 is a structural diagram of an information processing device provided in an embodiment of the present application;

[0029] Figure 5 is a schematic diagram of the structure of another information processing device provided in an embodiment of the present application;

[0030] Figure 6 It is a structural diagram of a server provided in an embodiment of the present application;

[0031] Figure 7 It is a structural schematic diagram of an electronic device provided in an embodiment of the present application;

[0032] Figure 8 It is a structural diagram of another server provided in an embodiment of the present application;

[0033] Fig. 9 It is a schematic diagram of the structure of another electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0034] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0035] See also Figure 1 , Figure 1 is a flowchart of an information processing method provided by an embodiment of the present application. The embodiment of the present application can be applied to a server, such as Figure 1 As shown, the method comprises the following steps:

[0036] Step 101: Send recommendation information to an electronic device, where the recommendation information is used for anti-fraud training for a target user corresponding to the electronic device.

[0037] The specific content of the recommended information is not limited here. Optionally, the recommended information may include anti-fraud questions in the anti-fraud question bank, anti-fraud cases, anti-fraud publicity information and other information.

[0038] Step 102: Receive response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information.

[0039] The response information may also be referred to as the target user's anti-fraud awareness data or anti-fraud information, that is, the response information may be information indicating whether the target user can accurately identify the fraudster.

[0040] Step 103: Generate prompt information according to the response information, and send the prompt information to the electronic device, wherein the prompt information is used to prompt the target user of anti-fraud information that needs to be learned.

[0041] Among them, the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned. It can also be understood that the prompt information is used to prompt the target user of some missing information, existing weakness information or aspects that need to be strengthened in anti-fraud.

[0042] Among them, the response information can be analyzed to obtain the target user's weakness information in anti-fraud or information on aspects that need to be strengthened, and prompt information can be generated based on the above-mentioned target user's weakness information in anti-fraud or information on aspects that need to be strengthened. In this way, the target user can further learn anti-fraud information, and can improve the weaknesses or aspects that need to be strengthened in anti-fraud, thereby enhancing the target user's anti-fraud awareness.

[0043] In an embodiment of the present application, through steps 101 to 103, the target user can perform anti-fraud training on the electronic device based on the recommended information, thereby providing a way to actively learn anti-fraud information. At the same time, during the anti-fraud training process, the target user's impression of the anti-fraud information is deepened, the user's active acceptance is improved, and the publicity effect of the anti-fraud information is enhanced; at the same time, prompt information can also be generated based on the response information, and the prompt information is used to prompt the target user of the aspects that need to be strengthened in anti-fraud, thereby enhancing the target user's anti-fraud awareness and further enhancing the publicity effect of the anti-fraud information.

[0044] It should be noted that the recommendation information in the embodiments of the present application can simulate real fraud information, so that the target users can conduct anti-fraud training through immersive experience, thereby enhancing the users' anti-fraud perception and experience.

[0045] In addition, the recommended information may include various types of fraud information, such as telephone fraud information, video fraud information, immunization and prevention fraud information, and artificial intelligence (AI) generated fraud information.

[0046] As an optional implementation manner, before sending the recommendation information to the electronic device, the method further includes:

[0047] Receiving target information of the target user sent by the electronic device;

[0048] The recommended information is determined according to the target information, and the recommended information corresponds to the target information in a one-to-one manner.

[0049] Among them, the target information can be the personal identification information of the target user, and the specific content of the personal identification information is not limited here. Optionally, the personal identification information can include at least one of the following: personal number, personal ID number, facial image information, etc.

[0050] In the implementation manner of the present application, the recommended information is determined based on the target information, and the recommended information corresponds to the target information one-to-one, that is, different target users have different corresponding recommended information. In this way, the corresponding recommended information can be tailored for the target users, that is, accurate anti-fraud training can be performed, so that the anti-fraud training of the target users based on the recommended information is more targeted and the anti-fraud training effect is better.

[0051] As an optional implementation manner, determining the recommended information according to the target information includes:

[0052] Determining whether user information of the target user is stored according to the target information;

[0053] In a case where the user information is stored, the recommended information is determined according to the user information.

[0054] The specific method of determining whether the user information of the target user is stored according to the target information can be referred to as follows:

[0055] Since the target information can be the personal identification information of the target user, and the user information of the target user can also be the personal identification information of the target user, the target information can be matched with the user information. When the matching degree between the two is greater than a preset threshold, it can be determined that the user information is stored. When the matching degree between the two is less than or equal to the preset threshold, it can be determined that the user information is not stored.

[0056] It should be noted that the personal identification information of the target user in the user information is significantly more than that of the target user in the target information, that is, the richness of the personal identification information of the target user in the user information is significantly greater than that of the target user in the target information.

[0057] In the implementation manner of the present application, since the personal information of the target user in the user information is obviously more than the personal information of the target user in the target information, when it is determined that the user information of the target user is stored based on the target information, the recommended information can be determined based on the user information, thus further improving the accuracy of the determination result of the recommended information.

[0058] It should be noted that the more personal information the target user has, the more accurate the result of determining the recommended information will be.

[0059] As an optional implementation manner, after receiving the response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information, the method further includes:

[0060] Performing target processing on the response information, wherein the target processing includes performing at least one of the following on the response information: data extraction, data sorting, and data supplementation;

[0061] The user information is updated according to the response information after the target processing is performed.

[0062] The data extraction may refer to extracting key information from the response information, such as at least one of keyword information, key sentence information, and face image information.

[0063] Among them, data sorting can refer to formatting the response information so that the response information obtained after sorting is more in line with the storage format and the format for transmission in the server, thereby reducing the consumption of server computing resources and improving processing efficiency.

[0064] Among them, data supplementation may refer to supplementing some missing information in the response information, so that the response information after supplementation is more accurate and complete.

[0065] In the implementation manner of the present application, by performing target processing on the response information, the accuracy and completeness of the response information after the target processing can be improved. In addition, the user information is updated according to the response information after the target processing. In this way, the accuracy and completeness of the user information can be guaranteed to be high by updating the user information.

[0066] It should be noted that the updated user information can be used by management agencies to generate precise anti-fraud publicity and prevention portraits, and when target users use the updated user information for anti-fraud training again, the knowledge can be strengthened in a targeted manner, so that the determined recommended information is more accurate and better meets the needs of target users' anti-fraud training.

[0067] As an optional implementation, the response information includes at least one of the following: an anti-fraud answer score and an anti-fraud psychological model score. In this way, since there are many types of response information, the accuracy of the final prompt information can be improved, thereby enhancing the anti-fraud awareness of the target user.

[0068] As an optional implementation manner, the target information includes personal information and verification information, and determining the recommended information according to the target information further includes:

[0069] If the user information is not stored, matching the verification information with pre-stored preset verification information;

[0070] In a case where the verification information successfully matches the preset verification information, the recommendation information is determined according to the personal information.

[0071] In the case where no user information is stored, user information of the target user may be created based on the personal information, and the created user information of the target user may be stored on the server.

[0072] Among them, matching the verification information with the pre-stored preset verification information can be understood as a security authentication or personal information authentication process for the target user.

[0073] In the implementation manner of the present application, when user information is not stored, recommended information can be determined based on personal information input by the user. In this way, when user information is not stored, recommended information can also be accurately determined, thereby increasing the diversity of application scenarios.

[0074] It should be noted that the scenarios where the user information is not stored may include: the target user logs in to the server for the first time, or the user information of the target user has been deleted.

[0075] It should be noted that in the application embodiment, a background operation subsystem can be installed on the server, and the background operation subsystem can be used to execute the various steps applied on the server in the embodiment of the present application, and the background operation subsystem can be mainly used for personalized management of knowledge content, distribution, processing, and analysis of user anti-fraud information, and generating user anti-fraud awareness file information, and user anti-fraud awareness file information can also be referred to as user information.

[0076] In addition, a security management subsystem can be installed on the electronic device, and the security management subsystem is applied to the electronic device, which can also be called a mobile terminal. The core of the security management subsystem is an application (Application, APP) system customized based on the operating system, and controls account login, content display, information interaction with users, etc. The APP system is a system pre-installed on the electronic device at the factory, which can be upgraded through Over The Air (OTA) technology and cannot be deleted.

[0077] It should be noted that the security management subsystem can also be installed on other electronic devices, and the security management subsystem can be communicatively connected with the electronic devices in the embodiments of the present application. In this way, the security management subsystem can interact with the electronic devices in the embodiments of the present application, thereby enabling the electronic devices to perform the above-mentioned related steps.

[0078] In the embodiment of the present application, the electronic device may be a mobile phone, a tablet computer, a laptop computer, a personal digital assistant (PDA), a mobile Internet device (MID), or a wearable device, etc. In addition, the electronic device may also be referred to as a mobile smart device, which is a smart device with card reading, display, network, touch screen, and audio capabilities.

[0079] See also Figure 2 , Figure 2 : is a flowchart of the information processing method provided by the embodiment of the present application. The main difference between this embodiment and the previous embodiment is that the execution subject is different. The execution subject of the embodiment of the present application is an electronic device, while the execution subject of the previous embodiment is a server, that is, the embodiment of the present application is an embodiment corresponding to the previous embodiment applied on the electronic device side. Figure 2 As shown, the following steps are included:

[0080] Step 201: Receive recommendation information sent by a server, where the recommendation information is used for providing anti-fraud training to a target user corresponding to the electronic device.

[0081] The recommendation information may refer to the relevant description in the above embodiment, and will not be described in detail here.

[0082] Step 202: Generate response information obtained by the target user performing anti-fraud training based on the recommendation information, and send the response information to the server.

[0083] Among them, generating response information obtained by the target user through anti-fraud training based on the recommended information can be specifically as follows: the recommended information can be displayed on the electronic device, and the target user can input information on the electronic device according to the recommended information to complete the question, and the electronic device can generate response information based on the recommended information and the user's answer results.

[0084] Step 203: receiving prompt information sent by the server, wherein the prompt information is information generated by the server according to the response information, and the prompt information is used to prompt the target user of anti-fraud information that needs to be learned.

[0085] In an embodiment of the present application, the target user can perform anti-fraud training on the electronic device based on the recommended information, thereby providing a way to actively learn anti-fraud information. At the same time, during the anti-fraud training process, the target user's impression of the anti-fraud information is deepened, the user's active acceptance is improved, and the publicity effect of the anti-fraud information is enhanced; at the same time, prompt information can also be generated based on the response information, and the prompt information is used to prompt the target user of the aspects that need to be strengthened in anti-fraud, thereby enhancing the target user's anti-fraud awareness and further enhancing the publicity effect of the anti-fraud information.

[0086] See also Figure 3 In order to better illustrate the above embodiment, a specific embodiment is given below as an example. Figure 3 , including target users, security management subsystem and background operation subsystem, wherein the security management subsystem can be applied to electronic devices, and the background operation subsystem can be applied to servers, and can include the following steps:

[0087] Step 301: The target user logs in.

[0088] Step 301 includes the following two sub-steps:

[0089] Step 3011, the security management subsystem applies to the background operation subsystem for initiating login;

[0090] Step 3012: The backend operation subsystem returns the login result to the security management subsystem;

[0091] Step 302: The target user initiates personal information authentication;

[0092] Step 302 includes the following two sub-steps:

[0093] Step 3021, the security management subsystem uploads the target information to the background operation subsystem;

[0094] Step 3022: The backend operation subsystem returns the recommendation information to the security management subsystem;

[0095] Step 303: The target user undergoes anti-fraud training;

[0096] Step 303 includes the following sub-steps:

[0097] Step 3031, the security management subsystem uploads response information to the background operation subsystem;

[0098] Step 3031 includes the following three sub-steps:

[0099] Step 30311: The backend operation subsystem generates prompt information and updates user information;

[0100] Step 30312: the background operation subsystem sends a prompt message to the security management subsystem;

[0101] Step 30313: The security management subsystem sends a prompt message to the target user.

[0102] In the embodiment of the present application, the publicity effect of anti-fraud information can also be enhanced.

[0103] See also Figure 4 , Figure 4 is a structural diagram of an information processing device provided in an embodiment of the present application, which can realize the above Figure 1 The details of the information processing method in the embodiment shown in FIG. 1 and FIG. 2 can achieve the same effect. Figure 4 As shown, the information processing device 400 includes:

[0104] A first sending module 401 is used to send recommendation information to an electronic device, where the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device;

[0105] A first receiving module 402 is used to receive response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information;

[0106] The first generating module 403 is used to generate prompt information according to the response information, and send the prompt information to the electronic device, wherein the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

[0107] As an optional implementation manner, the information processing device 400 further includes:

[0108] A fourth receiving module, used for receiving target information of the target user sent by the electronic device;

[0109] The first determining module is used to determine the recommended information according to the target information, and the recommended information corresponds to the target information in a one-to-one manner.

[0110] As an optional implementation manner, the first determining module includes:

[0111] A first determination submodule, used to determine whether user information of the target user is stored according to the target information;

[0112] The second determining submodule is used to determine the recommended information according to the user information when the user information is stored.

[0113] As an optional implementation manner, the information processing device 400 further includes:

[0114] A processing module, used for performing target processing on the response information, wherein the target processing includes performing at least one of the following on the response information: data extraction, data sorting, and data supplementation;

[0115] An updating module is used to update the user information according to the response information after performing the target processing.

[0116] As an optional implementation manner, the target information includes personal information and verification information, and the first determination module includes:

[0117] A matching submodule, for matching the verification information with pre-stored preset verification information when the user information is not stored;

[0118] The third determining submodule is configured to determine the recommended information according to the personal information if the verification information successfully matches the preset verification information.

[0119] The information processing device 400 provided in the embodiment of the present application can realize Figure 1 To avoid repetition, the various processes implemented by the server in the method embodiment are not described here.

[0120] See also Figure 5 , Figure 5 is a structural diagram of an information processing device provided in an embodiment of the present application, which can realize the above Figure 2 The details of the information processing method in the embodiment shown in FIG. 1 and FIG. 2 can achieve the same effect. Figure 5As shown, the information processing device 500 includes:

[0121] The second receiving module 501 is used to receive recommendation information sent by the server, where the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device;

[0122] A second generating module 502 is used to generate response information obtained by the target user performing anti-fraud training based on the recommendation information, and send the response information to the server;

[0123] The third receiving module 503 is used to receive the prompt information sent by the server, where the prompt information is information generated by the server according to the response information, and the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

[0124] The information processing device 500 provided in the embodiment of the present application can realize Figure 2 To avoid repetition, the various processes implemented by the server in the method embodiment are not described here.

[0125] Optional, such as Figure 6 As shown, the embodiment of the present application further provides a server 600, including a processor 601, a memory 602, a program or instruction stored in the memory 602 and executable on the processor 601, and the program or instruction is executed by the processor 601 to implement the above Figure 1 The various processes of the information processing method embodiment shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0126] Optional, such as Figure 7 As shown, the embodiment of the present application also provides an electronic device 700, including a processor 701, a memory 702, a program or instruction stored in the memory 702 and executable on the processor 701, and the program or instruction is executed by the processor 701 to achieve the above Figure 2 The various processes of the information processing method embodiment shown can achieve the same technical effect, and will not be described again here to avoid repetition.

[0127] Figure 8 A schematic diagram of the hardware structure of a server for implementing an embodiment of the present application.

[0128] The server 800 includes but is not limited to: a radio frequency unit 801, a network module 802, an audio output unit 803, an input unit 804, a sensor 805, a display unit 806, a user input unit 807, an interface unit 808, a memory 809, and a processor 810 and other components.

[0129] Those skilled in the art will appreciate that the server 800 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 810 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Figure 8 The server structure shown in the figure does not constitute a limitation on the server. The server may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0130] The radio frequency unit 801 is used to send recommendation information to the electronic device, where the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device; and receive response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information;

[0131] The processor 810 is used to generate prompt information according to the response information, and send the prompt information to the electronic device, where the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

[0132] As an optional implementation manner, the radio frequency unit 801 is further configured to receive target information of the target user sent by the electronic device;

[0133] The processor 810 is further configured to: determine the recommended information according to the target information, wherein the recommended information corresponds to the target information in a one-to-one manner.

[0134] As an optional implementation manner, the processor 810, executing the step of determining the recommendation information according to the target information, includes:

[0135] Determining whether user information of the target user is stored according to the target information;

[0136] In a case where the user information is stored, the recommended information is determined according to the user information.

[0137] As an optional implementation manner, the processor 810 is further configured to: perform target processing on the response information, wherein the target processing includes performing at least one of the following on the response information: data extraction, data sorting, and data supplementation;

[0138] The user information is updated according to the response information after the target processing is performed.

[0139] As an optional implementation manner, the target information includes personal information and verification information, and the processor 810, executing the determining of the recommended information according to the target information, further includes:

[0140] If the user information is not stored, matching the verification information with pre-stored preset verification information;

[0141] In a case where the verification information successfully matches the preset verification information, the recommendation information is determined according to the personal information.

[0142] It should be understood that in the embodiment of the present application, the input unit 804 may include a graphics processor (Graphics Processing Unit, GPU) 8041 and a microphone 8042, and the graphics processor 8041 processes the image data of the static picture or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 806 may include a display panel 8061, and the display panel 8061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 807 includes a touch panel 8071 and other input devices 8072. The touch panel 8071 is also called a touch screen. The touch panel 8071 may include two parts: a touch detection device and a touch controller. Other input devices 8072 may include but are not limited to a physical keyboard, a function key (such as a volume control button, a switch button, etc.), a trackball, a mouse, and a joystick, which will not be repeated here. The memory 809 can be used to store software programs and various data, including but not limited to applications and operating systems. The processor 810 can integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, the user interface, and the application program, etc., and the modem processor mainly processes wireless communication. It is understandable that the above-mentioned modem processor may not be integrated into the processor 810.

[0143] Fig. 9 A schematic diagram of the hardware structure of an electronic device to implement an embodiment of the present application.

[0144] The electronic device 900 includes but is not limited to: a radio frequency unit 901, a network module 902, an audio output unit 903, an input unit 904, a sensor 905, a display unit 906, a user input unit 907, an interface unit 908, a memory 909, and a processor 910 and other components.

[0145] Those skilled in the art will appreciate that the electronic device 900 may also include a power source (such as a battery) for supplying power to each component, and the power source may be logically connected to the processor 910 through a power management system, thereby implementing functions such as managing charging, discharging, and power consumption management through the power management system. Fig. 9 The electronic device structure shown in the figure does not constitute a limitation on the electronic device. The electronic device may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently, which will not be described in detail here.

[0146] The radio frequency unit 901 is used to receive recommendation information sent by the server, where the recommendation information is used for anti-fraud training for the target user corresponding to the electronic device;

[0147] Processor 910 is used to generate response information obtained by the target user performing anti-fraud training based on the recommendation information, and send the response information to the server;

[0148] The radio frequency unit 901 is used to receive the prompt information sent by the server, where the prompt information is information generated by the server according to the response information, and the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

[0149] It should be understood that in the embodiment of the present application, the input unit 904 may include a graphics processor (Graphics Processing Unit, GPU) 9041 and a microphone 9042, and the graphics processor 9041 processes the image data of the static picture or video obtained by the image capture device (such as a camera) in the video capture mode or the image capture mode. The display unit 906 may include a display panel 9061, and the display panel 9061 may be configured in the form of a liquid crystal display, an organic light emitting diode, etc. The user input unit 907 includes a touch panel 9071 and other input devices 9072. The touch panel 9071 is also called a touch screen. The touch panel 9071 may include two parts: a touch detection device and a touch controller. Other input devices 9072 may include, but are not limited to, a physical keyboard, a function key (such as a volume control button, a switch button, etc.), a trackball, a mouse, and a joystick, which will not be repeated here. The memory 909 can be used to store software programs and various data, including but not limited to applications and operating systems. The processor 910 can integrate an application processor and a modem processor, wherein the application processor mainly processes an operating system, a user interface, and applications, etc., and the modem processor mainly processes wireless communications. It is understandable that the above-mentioned modem processor may not be integrated into the processor 910.

[0150] An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned information processing method embodiment are implemented and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0151] The processor is a processor in the electronic device described in the above embodiment. The readable storage medium includes a computer readable storage medium, such as a computer read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0152] An embodiment of the present application further provides a chip, which includes a processor and a communication interface, wherein the communication interface is coupled to the processor, and the processor is used to run programs or instructions to implement the various processes of the above-mentioned information processing method embodiment, and can achieve the same technical effect. To avoid repetition, it will not be repeated here.

[0153] It should be understood that the chip mentioned in the embodiments of the present application can also be called a system-level chip, a system chip, a chip system or a system-on-chip chip, etc.

[0154] It should be noted that, in this article, the terms "comprise", "include" or any other variant thereof are intended to cover non-exclusive inclusion, so that the process, method, article or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise one..." do not exclude the presence of other identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in reverse order according to the functions involved, for example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0155] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present application, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present application.

[0156] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of the present application, ordinary technicians in this field can also make many forms without departing from the purpose of the present application and the scope of protection of the claims, all of which are within the protection of the present application.

Claims

1. An information processing method, It is characterized in that include: Sending recommendation information to an electronic device, where the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device; Receiving response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information; Prompt information is generated according to the response information, and the prompt information is sent to the electronic device, where the prompt information is used to prompt the target user of anti-fraud information that needs to be learned.

2. The method according to claim 1, It is characterized in that Before sending the recommendation information to the electronic device, the method further includes: Receiving target information of the target user sent by the electronic device; The recommended information is determined according to the target information, and the recommended information corresponds to the target information in a one-to-one manner.

3. The method according to claim 2, It is characterized in that The determining the recommended information according to the target information includes: Determining whether user information of the target user is stored according to the target information; In a case where the user information is stored, the recommended information is determined according to the user information.

4. The method according to claim 3, It is characterized in that After receiving the response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information, the method further includes: Performing target processing on the response information, wherein the target processing includes performing at least one of the following on the response information: data extraction, data sorting, and data supplementation; The user information is updated according to the response information after the target processing is performed.

5. The method according to claim 3, It is characterized in that The target information includes personal information and verification information, and determining the recommended information according to the target information further includes: If the user information is not stored, matching the verification information with pre-stored preset verification information; In a case where the verification information successfully matches the preset verification information, the recommendation information is determined according to the personal information.

6. An information processing method, It is characterized in that include: receiving recommendation information sent by the server, wherein the recommendation information is used for anti-fraud training for a target user corresponding to the electronic device; Generate response information, and send the response information to the server, wherein the response information is obtained according to the anti-fraud training performed by the target user based on the recommendation information; Receive prompt information sent by the server, where the prompt information is information generated by the server according to the response information, and the prompt information is used to prompt the target user of anti-fraud information that needs to be learned.

7. An information processing device, It is characterized in that include: A first sending module, used to send recommendation information to an electronic device, where the recommendation information is used for anti-fraud training by a target user corresponding to the electronic device; A first receiving module, configured to receive response information sent by the electronic device and obtained by the target user performing anti-fraud training based on the recommendation information; The first generating module is used to generate prompt information according to the response information and send the prompt information to the electronic device, wherein the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

8. An information processing device, It is characterized in that include: A second receiving module, used to receive recommendation information sent by the server, where the recommendation information is used for anti-fraud training for a target user corresponding to the electronic device; A second generating module is used to generate response information and send the response information to the server, wherein the response information is obtained according to the anti-fraud training performed by the target user based on the recommendation information; The third receiving module is used to receive the prompt information sent by the server, where the prompt information is information generated by the server according to the response information, and the prompt information is used to prompt the target user of the anti-fraud information that needs to be learned.

9. An electronic device, It is characterized in that include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the information processing method according to any one of claims 1 to 5 when executing the computer program, or the processor implements the steps of the information processing method according to claim 6 when executing the computer program.

10. A computer-readable storage medium, It is characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by the processor, the computer program implements the steps in the information processing method as described in any one of claims 1 to 5, or when the computer program is executed by the processor, the computer program implements the steps in the information processing method as described in claim 6.

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