Digital human marketing interaction method and system based on data processing

Abstract

The invention provides a digital human marketing interaction method and system based on data processing, and belongs to the technical field of digital human marketing interaction. The method comprises the following steps: displaying a digital human auxiliary marketing mode in response to detection that a first operation of a first user on a human-computer interaction terminal does not conform to expectation; in response to activation of the digital human-assisted marketing mode by a first user, first operation data corresponding to the first operation of the first user on the human-computer interaction terminal is acquired; based on the first operation data, a first auxiliary marketing digital person is generated for the first user, and the first auxiliary marketing digital person provides first auxiliary operation data for the first user; and when the second operation data and the first operation data meet an association condition, multiplexing the first auxiliary marketing digital person for the second user. According to the technical scheme, the efficiency of digital human generation and reproduction can be improved under the condition of limited resource pools, and the occurrence opportunity meets the expectation of a user.

Description

Technical Field

[0001] The present invention belongs to the technical field of digital human marketing interaction, and in particular relates to a digital human marketing interaction method and system based on data processing, a computer-readable storage medium for implementing the method, a computer program product and an electronic device. Background Art

[0002] "Digital human" refers to a virtual human that imitates humans in appearance, behavior, thinking and emotion through artificial intelligence technology. It has three main characteristics: (1) similar appearance, gender, personality and other characteristics to humans; (2) can convey human behavior through language, expression and action; (3) has the ability to perceive and recognize the external world and communicate and interact with people. At present, the classification of digital humans in the market mainly includes identity-based digital humans and service-based digital humans. Identity-based digital humans mainly include two types: virtual IP idols and human avatars, which pay more attention to creativity and beauty and are widely used in the entertainment industry; service-based digital humans have certain functionality and interactivity, and can replace real people to provide users with services in various application scenarios, with a high degree of automation, such as virtual anchors, virtual customer service, virtual assistants, etc.

[0003] Chinese invention patent application CN202210918660 proposes an intelligent digital human marketing interaction method, which can interact with users in multiple modes, provide richer visual, auditory, text and graphic information, and improve the final marketing experience and conversion rate; Chinese invention patent application CN202110175602 proposes a personalized generation method of virtual digital human appearance, sound effects and service models. By analyzing the collected data to characterize customer characteristics, personalized virtual digital human appearance, sound effects and services are generated based on customer characteristics. Both the appearance and interactive sounds are personalized modes to meet customer preferences, provide in-depth personalized services for each customer, and improve customer service experience.

[0004] When the client or server generates a digital human with a multimodal personalized experience, it needs sufficient resource pool support from the local machine or the cloud, which includes hardware resources and software resources. As the number of customer bases expands, the number of concurrent users who experience or use digital human services also increases significantly. How to continue to provide reliable digital human services with limited local hardware resources and / or budget-constrained cloud resources becomes a new challenge. In addition, determining the timing of digital human intervention in the marketing process is also an issue that needs to be considered. Summary of the invention

[0005] In response to the above technical problems, the present invention proposes a digital human marketing interaction method and system based on data processing, a computer-readable storage medium, a computer program product and an electronic device for implementing the method.

[0006] In a first aspect of the present invention, a digital human marketing interaction method based on data processing is proposed. The method is implemented based on a human-computer interaction terminal and comprises the following steps:

[0007] In response to detecting that the first operation of the first user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode;

[0008] In response to the first user activating the digital human assisted marketing mode, obtaining first operation data corresponding to the first operation of the first user on the human-computer interaction terminal;

[0009] Based on the first operation data, a first auxiliary marketing digital person is generated for the first user, and the first auxiliary marketing digital person provides the first auxiliary operation data for the first user.

[0010] After generating an auxiliary marketing digital person for the first user based on the first operation data, the method further includes:

[0011] At least one modification component is provided, and the modification component is used for the first user to modify the first auxiliary marketing digital person.

[0012] In response to detecting that the second operation of the second user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode;

[0013] In response to the second user activating the digital human assisted marketing mode, obtaining second operation data corresponding to the second operation of the second user on the human-computer interaction terminal;

[0014] When the second operation data and the first operation data satisfy an association condition, the first auxiliary marketing digital person is reused for the second user.

[0015] The reusing of the first auxiliary marketing digital person for the second user specifically includes:

[0016] The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides second auxiliary operation data for the second user.

[0017] The first auxiliary marketing digital person provides the first auxiliary operation data for the first user, specifically including:

[0018] The first auxiliary marketing digital person provides a plurality of first auxiliary interaction channels, wherein the plurality of first auxiliary interaction channels include at least one of a voice interaction channel, a visual interaction channel or a text interaction channel;

[0019] Through the auxiliary interaction channel, the first auxiliary marketing digital person provides the first auxiliary operation data to the first user.

[0020] The reusing of the first auxiliary marketing digital person for the second user specifically includes:

[0021] Determine a first target auxiliary interaction channel currently activated by a first auxiliary marketing digital person who performs interaction with the first user;

[0022] The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides an available second auxiliary interaction channel, and the available second auxiliary interaction channel does not include the first target auxiliary interaction channel.

[0023] In a second aspect of the present invention, in order to implement the method described in the first aspect, a digital human marketing interaction system based on data processing is provided, the system comprising:

[0024] A user operation detection module is used to obtain the user's operation data within a preset time period;

[0025] A user expectation value prediction module, used to judge whether the current user's operation meets expectations based on the operation data obtained by the user operation detection module;

[0026] A digital human-assisted marketing mode display module, used to display a digital human-assisted marketing mode when the operation of the current user does not meet expectations;

[0027] A digital human-assisted marketing mode activation module, used for a user to activate the digital human-assisted marketing mode;

[0028] An auxiliary marketing digital person generating module, configured to generate an auxiliary marketing digital person for the current user based on the operation data acquired by the user operation detection module, wherein the auxiliary marketing digital person provides auxiliary operation data for the current user;

[0029] An auxiliary marketing digital person modification module, used for modifying the auxiliary marketing digital person after the auxiliary marketing digital person generation module generates the auxiliary marketing digital person for the current user;

[0030] The modification includes adjusting the auxiliary interaction channel mode currently used by the auxiliary marketing digital person, and the auxiliary interaction channel mode includes at least one of a voice interaction channel, a visual interaction channel or a text interaction channel.

[0031] The system also includes a marketing-assisted digital human reuse module;

[0032] In the case where the system has generated a first auxiliary marketing digital person for the first user based on the first operation data of the first user, the auxiliary marketing digital person reuse module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides auxiliary operation data for the second user.

[0033] The system is connected to a plurality of resource pools, and the resource pools provide resource support for the generation of the auxiliary marketing digital person; each resource pool includes a plurality of channel resources, and the plurality of channel resources correspond to the auxiliary interaction channel mode;

[0034] The auxiliary marketing digital person multiplexing module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, specifically including:

[0035] Determine the target auxiliary interaction channel mode currently activated by the first auxiliary marketing digital person;

[0036] Determining the channel resources currently available for the cloning operation based on the target auxiliary interaction channel mode;

[0037] The cloning operation is performed based on channel resources currently available for the cloning operation.

[0038] The auxiliary marketing digital person multiplexing module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, specifically including:

[0039] determining a first target auxiliary interaction channel currently being activated with the first auxiliary marketing digital person;

[0040] The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides an available second auxiliary interaction channel, and the available second auxiliary interaction channel does not include the first target auxiliary interaction channel.

[0041] The aforementioned digital human marketing interaction method based on data processing can be automatically implemented through various forms of electronic devices through computer program instructions; the computer program instructions can be stored in different forms of storage media and loaded into computer electronic devices for execution.

[0042] Therefore, in the third aspect of the present invention, a computer-readable storage medium is also provided for storing computer instructions. When the computer instructions are executed on an electronic device, the electronic device executes a digital human marketing interaction method based on data processing according to the first aspect.

[0043] In the fourth aspect of the present invention, an electronic device is also proposed, which includes a processor and a memory, the memory is used to store instructions, and the processor is used to call the instructions in the memory, so that the electronic device executes a digital human marketing interaction method based on data processing according to the first aspect mentioned above.

[0044] In a fifth aspect of the present invention, a computer program product is also proposed, the product comprising a computer program, and when the computer program is executed, a digital human marketing interaction method based on data processing according to the first aspect is implemented.

[0045] The technical solution of the present application displays the digital human assisted marketing mode only when it is detected that the user's operation on the human-computer interaction terminal is not in line with expectations, thereby avoiding the permanent residence of the digital human assisted marketing mode process; and the assisted marketing digital human is generated only when the user activates the digital human assisted marketing mode, which can make the timing of digital human intervention more targeted; finally, when the system has generated a first assisted marketing digital human for the first user based on the first operation data of the first user, the assisted marketing digital human reuse module is used to perform a cloning operation on the first assisted marketing digital human to obtain a second assisted marketing digital human, which can fully reuse the existing resource pool status and avoid the reactivation, call, allocation and other processes of the resource pool, and can speed up the efficiency of digital human generation and reproduction under the condition of limited resource pool, and the timing of appearance meets user expectations.

[0046] Further advantages of the present invention will be further reflected in detail in the specific embodiments section in conjunction with the drawings of the specification. BRIEF DESCRIPTION OF THE DRAWINGS

[0047] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0048] Figure 1 It is a main flow diagram of a digital human marketing interaction method based on data processing according to an embodiment of the present invention;

[0049] Figure 2 It is a main flow diagram of a digital human marketing interaction method based on data processing in a preferred embodiment of the present invention;

[0050] Figure 3 It is a schematic diagram of the auxiliary marketing digital person in different scenarios generated in the technical solution of the present invention;

[0051] Figure 4It is a schematic diagram of the function buttons for users to modify the currently generated auxiliary marketing digital person;

[0052] Figure 5 It is a functional structure diagram of a digital human marketing interaction system based on data processing according to an embodiment of the present invention. DETAILED DESCRIPTION

[0053] First of all, it should be pointed out that Figure 1 or Figure 2 The illustrated embodiment of the digital human marketing interaction method based on data processing can be implemented through a computer program on an electronic device or system configured with a memory and a processor. The electronic device or system can be in the form of a physical machine, a virtual machine, a server, a cluster, or any combination thereof.

[0054] Preferably, the specific form of the electronic device can also be a human-computer interaction terminal, which can be a desktop terminal, an intelligent handheld terminal, a mobile terminal, etc. with a human-computer interaction interface, such as a desktop PC, a portable PDA, a smart phone, a car terminal, etc.

[0055] The subsequent embodiments of the present invention are introduced by taking a human-computer interaction terminal as an example. The human-computer interaction terminal is preferably a smart phone terminal or a vehicle-mounted terminal. The smart phone terminal or the vehicle-mounted terminal has a human-computer interaction interface. At least one marketing APP is configured on the human-computer interaction interface. The marketing APP includes at least one of a shopping APP, a financial management APP, a social APP or an entertainment APP. When the marketing APP is running, the digital human marketing interaction method based on data processing provided by the present invention can be called to provide digital human assisted marketing services to the current user in a timely manner.

[0056] In the existing technology, digital human-assisted marketing services can already provide users with services in a variety of application scenarios with a high degree of automation, such as virtual voice anchors, virtual voice / video customer service, virtual shopping, financial management, social assistants, etc.

[0057] However, when the client APP or server generates a digital human with a multimodal personalized experience, it needs sufficient resource pool support from the local machine or the cloud, which includes hardware resources and software resources. As the number of customer bases expands, the number of concurrent users who experience or use digital human services also increases significantly. How to continue to provide reliable digital human services with limited local hardware resources and / or budget-constrained cloud resources becomes a new challenge. In addition, determining the timing of digital human intervention in the marketing process is also an issue that needs to be considered.

[0058] This application proposes multiple embodiments to gradually solve the above technical problems. It should be noted that this application subsequently gives multiple embodiments, each of which can constitute an independent technical solution and may contribute to the prior art and solve the corresponding technical problems. However, it should be pointed out that different embodiments can be combined with each other without violating logic; at the same time, each embodiment can solve at least one technical problem mentioned in the background technology, but it is not required that each individual embodiment solves multiple or all technical problems.

[0059] See first Figure 1 , Figure 1 A schematic diagram of the main flow of a digital human marketing interaction method based on data processing according to an embodiment of the present invention is shown. For the convenience of description, the subsequent description will assign step numbers to each step (the relevant numbers are omitted in the relevant drawings).

[0060] Figure 1 The method embodiment includes the following steps S100-S300:

[0061] S100: In response to detecting that the first operation of the first user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode;

[0062] S200: In response to the first user activating the digital human assisted marketing mode, obtaining first operation data corresponding to the first operation of the first user on the human-computer interaction terminal;

[0063] S300: Based on the first operation data, generate a first auxiliary marketing digital person for the first user, and the first auxiliary marketing digital person provides first auxiliary operation data for the first user.

[0064] Next, we will introduce Figure 1 Specific preferred implementation methods of each step of the method embodiment.

[0065] First, step S100: in response to detecting that the first operation of the first user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode.

[0066] In specific implementation, the step S100 includes the following sub-steps:

[0067] S110: Acquire first operation data of a first user on a human-computer interaction terminal within a preset time period;

[0068] As an example, the first operation data may be page operation data within a preset time period (e.g., within 5 minutes) after the user opens the marketing APP, and the page operation data includes input operations, selection operations, closing operations, etc.

[0069] For example, for a shopping app, the relevant page operation data may be searching for a product name, scrolling through product page details, clicking to buy / returning to continue searching / closing the current page to continue entering the search product name, etc.

[0070] For another example, for a financial management APP, the relevant page operation data may be searching for financial management product codes, clicking on risk test, clicking on purchase / returning to continue searching / closing the current page to continue entering and searching for financial management product codes, etc.

[0071] S120: Determine, based on the first operation data, whether the current first operation of the first user meets expectations;

[0072] If it does not meet expectations, the digital human-assisted marketing model is displayed;

[0073] If it is as expected, the digital human-assisted marketing model is not displayed.

[0074] Step S120 determines whether the first user's current first operation meets expectations, mainly to determine the timing of intervention of the digital human-assisted marketing model.

[0075] Judging whether the current first operation of the first user meets expectations refers to judging whether the current user quickly hits the desired function and completes the desired operation within a preset time period (for example, within 5 minutes) after opening the marketing APP; if the user often repeats the operation within the preset time period (for example, within 5 minutes) and ultimately fails to complete the corresponding operation, it means that the current first operation of the first user is likely to not meet expectations.

[0076] Taking a shopping app as an example, the relevant page operation data may be searching for a product name, sliding the product page details, clicking to buy / return to continue searching / closing the current page to continue entering the search product name, etc.

[0077] If the user repeats the operations of "searching for product name - sliding product page details - returning to continue searching" within a predetermined time period, it means that the user is very likely to have not found the product he or she wants, that is, the first user's current first operation does not meet expectations; and if the user eventually performs operations such as "clicking to buy - closing the page", it means that the user is very likely to have found the product he or she wants, that is, the first user's current first operation meets expectations.

[0078] For a financial management APP mentioned above, the relevant page operation data may be searching for financial management product codes, clicking on risk test, clicking on purchase / returning to continue searching / closing the current page to continue entering and searching for financial management product codes, etc.

[0079] If the user repeats the operations of "searching for financial product code - sliding page details - returning to continue searching" within a predetermined time period, it means that the user is very likely to have not hit the financial product he or she wants, that is, the first user's current first operation does not meet expectations; and if the user eventually performs operations such as "clicking on risk test / clicking on purchase", it means that the user is very likely to have hit the financial product he or she wants, that is, the first user's current first operation meets expectations.

[0080] Therefore, in a specific implementation, the step S120 further includes:

[0081] It is determined whether there is page operation data with a repetition degree exceeding a threshold in the first operation data; if so, the current first operation of the first user does not meet expectations.

[0082] Only when the first user's current first operation does not meet expectations, the embodiment of the present invention enters the process of displaying the digital human-assisted marketing mode.

[0083] Different from the existing digital human-assisted marketing model that is always online, Figure 1 In the embodiment of the present invention, only when the current first operation of the first user does not meet expectations, the embodiment of the present invention enters the process of displaying the digital human assisted marketing mode, avoiding the process resident phenomenon of the digital human generation process, and saving resource pools, especially system process resources, from the source.

[0084] When it is detected in step S100 that the first operation of the first user on the human-computer interaction terminal does not meet expectations, after the digital human assisted marketing mode is displayed, Figure 1 The method enters step S200: in response to the first user activating the digital human assisted marketing mode, obtaining first operation data corresponding to the first operation of the first user on the human-computer interaction terminal.

[0085] It is worth noting that although the digital human assisted marketing mode is displayed when step S100 detects that the first operation of the first user on the human-computer interaction terminal does not meet expectations, the digital human generation process is not started immediately, but the user is given the right to choose.

[0086] This is because, in some scenarios, users may not be accustomed to the display of virtual digital human images on the current interface, and prefer to continue to use traditional search assistance methods. To solve this problem, Figure 1 The embodiment firstly only shows that the digital human assisted marketing mode is currently available, but whether to enable and activate this mode needs to be actively activated by the user.

[0087] When the user actively activates this mode, he / she needs to agree to the relevant terms of use, including personal data collection, terms of use, etc. At the same time, the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0088] At this time, if the user agrees to activate the digital human-assisted marketing mode, in response to the first user activating the digital human-assisted marketing mode, first operation data corresponding to the first operation of the first user on the human-computer interaction terminal is obtained.

[0089] As an example, the first operation data not only includes the page operation data within a preset time period (for example, within 5 minutes) after the aforementioned user opens the marketing APP; it also includes other necessary collected data, such as user registration information, historical browsing information, etc., so as to more accurately generate a digital human image for the current user.

[0090] On this basis, proceed to step S300: based on the first operation data, generate a first auxiliary marketing digital person for the first user, and the first auxiliary marketing digital person provides the first auxiliary operation data for the first user.

[0091] It is understandable that generating a personalized digital human for a user based on known user data belongs to the scope of the prior art (such as the relevant literature mentioned in the background technology), and the embodiments of the present invention do not elaborate on this, and this is not the focus of the present invention.

[0092] Figure 3 A schematic diagram of the auxiliary marketing digital human in different scenarios generated in the technical solution of the present invention has been schematically given, including 8 auxiliary marketing digital human A, B, C, D, X, Y, Z, and W in 8 different scenarios.

[0093] Compared with the prior art, the above-mentioned embodiments of the present invention focus on determining the timing of digital human intervention to save system resources, especially when it is detected that the user's operation on the human-computer interaction terminal is not in line with expectations, the digital human-assisted marketing mode is displayed, avoiding the permanent residence of the digital human-assisted marketing mode process, and fundamentally saving system process resources.

[0094] Furthermore, in step S300, the first auxiliary marketing digital person provides the first auxiliary operation data for the first user, specifically including:

[0095] The first auxiliary marketing digital person provides a plurality of first auxiliary interaction channels, wherein the plurality of first auxiliary interaction channels include at least one of a voice interaction channel, a visual interaction channel or a text interaction channel;

[0096] Through the auxiliary interaction channel, the first auxiliary marketing digital person provides the first auxiliary operation data to the first user.

[0097] Specifically in the embodiment of the present invention, a resource pool consisting of a human-computer interaction terminal connected to a cloud server provides resource support for the generation of the auxiliary marketing digital person.

[0098] Specifically, each generation of an auxiliary marketing digital person corresponds to a parameter instantiation of the relevant resource pool.

[0099] Preferably, the auxiliary marketing digital person can be run in a virtual machine or container environment. Each auxiliary marketing digital person corresponds to an independent virtual machine or container environment. The virtual machine or container has a basic resource template before instantiation. After obtaining the first operation data, the first operation data is filled into the resource template, thereby instantiating and generating an auxiliary marketing digital person.

[0100] Each auxiliary marketing digital person includes a basic kernel (used to provide a basic reasoning model) and an appearance interface, which is embodied in a variety of auxiliary interaction channels.

[0101] Preferably, each generated auxiliary marketing digital person can display interfaces with voice interaction channel, visual interaction channel and text interaction channel. However, when actually interacting with users, these three channel interfaces may not be activated at the same time every time, depending on the resource availability in the specific scenario.

[0102] As mentioned above, when a client or server generates a digital human with a multimodal personalized experience, it needs sufficient resource pool support from the local machine or the cloud, which includes hardware resources and software resources.

[0103] Based on this, as a specific implementation, step S300 further includes:

[0104] S310: Acquire the current available resource status of the human-computer interaction terminal;

[0105] Currently available resources include audio channel resources (such as hardware resources such as sound cards, microphones, headphones, and software resources such as voice decoders), current graphics and image interaction channel resources (such as hardware resources such as GPUs and graphics cards, graphics and image decoder resources, players, and other software resources), and input channel resources (such as hardware resources such as keyboards and mice, and software resources such as touch input).

[0106] S320: Based on the current available resources of the human-computer interaction terminal, the first auxiliary marketing digital person displays the currently available first auxiliary interaction channel;

[0107] In one case, the human-computer interaction terminal currently does not have the video playback capability, and therefore, the currently available first auxiliary interaction channel is a voice interaction channel or a text interaction channel; preferably, the voice interaction channel.

[0108] S330: Determine the auxiliary interaction channel currently used by the first auxiliary marketing digital person based on the user's selection;

[0109] When there are more than two optional first auxiliary interaction channels, the user can select one of the first auxiliary interaction channels; when there is only one optional first auxiliary interaction channel, the first auxiliary interaction channel is directly determined as the auxiliary interaction channel currently used by the first auxiliary marketing digital person;

[0110] In the above example, the user selects the voice interaction channel;

[0111] S340: Through the currently used auxiliary interaction channel, the first auxiliary marketing digital person provides the first auxiliary operation data to the first user.

[0112] That is to say, although the first auxiliary marketing digital person generated at this time displays three channel interfaces of voice interaction channel, visual interaction channel and text interaction channel on the interface at the same time, only the voice interaction channel and the text interaction channel are currently available.

[0113] Visually, the visual interaction channel may be displayed in a dark gray state (unavailable), and the voice interaction channel and the text interaction channel may be displayed in a highlighted state (available).

[0114] At this time, the first auxiliary marketing digital person outputs the first auxiliary operation data through voice interaction, and displays it on the relevant input box interface or content details page of the human-computer interaction terminal.

[0115] The first auxiliary operation data is performed for the expected operation of the current user on the current APP. Taking the aforementioned financial management APP as an example, the first auxiliary operation data can be based on the search keywords (financial management product names, codes, etc.) originally input by the user, and the names, codes, etc. of financial management products similar to others (same risk level, same historical rate of return, same product portfolio allocation) are expanded and generated.

[0116] Of course, for different APPs and different users' original operations, the first auxiliary operation data provided by the first auxiliary marketing digital person to the first user are different and cannot be listed in detail. Those skilled in the art can know that the auxiliary marketing digital person itself has self-learning ability and can make certain auxiliary decisions based on actual conditions.

[0117] Understandably, Figure 1The scenario targeted by the embodiment is actually the situation where the client or server (cloud) generates a marketing-assisted digital person for the first time.

[0118] When the client or server (cloud) already has a historical record of generating a marketing-assisted digital person, the present invention provides Figure 2 The further preferred embodiments shown are as follows:

[0119] S100: In response to detecting that the first operation of the first user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode;

[0120] S200: In response to the first user activating the digital human assisted marketing mode, obtaining first operation data corresponding to the first operation of the first user on the human-computer interaction terminal;

[0121] S300: Based on the first operation data, generate a first auxiliary marketing digital person for the first user, and the first auxiliary marketing digital person provides first auxiliary operation data for the first user.

[0122] S400: In response to detecting that the second operation of the second user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode;

[0123] S500: In response to the second user activating the digital human assisted marketing mode, obtaining second operation data corresponding to the second operation of the second user on the human-computer interaction terminal;

[0124] S600: When the second operation data and the first operation data satisfy an association condition, reuse the first auxiliary marketing digital person for the second user.

[0125] Among them, the second operation data and the first operation data meet the association condition, which may be: the similarity between the second operation data and the first operation data is greater than a preset threshold, the second operation data is a subset of the first operation data, the first operation data is a subset of the second operation data, and so on.

[0126] exist Figure 2 In the embodiment of the present invention, the step S600 is that the second user reuses the first auxiliary marketing digital person, and specifically includes:

[0127] The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides second auxiliary operation data for the second user.

[0128] It can be understood that the data cloning method can directly obtain the second auxiliary marketing digital person. This cloning method can be completed based on the direct migration and copy of the container group (POD) or virtual machine corresponding to the background resource pool, without starting from the initial state, which is faster and more efficient.

[0129] exist Figure 2 In the improved preferred embodiment, when the system has generated a first auxiliary marketing digital person for the first user based on the first operation data of the first user, the auxiliary marketing digital person reuse module is used to perform a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, which can fully reuse the existing resource pool status, avoid the reactivation, call, allocation and other processes of the resource pool, and can speed up the efficiency of digital person generation and reproduction under the condition of limited resource pool.

[0130] As a more specific preferred embodiment, in order to further save system resources but avoid resource conflicts, the step S600 is for the second user to reuse the first auxiliary marketing digital person, which specifically includes:

[0131] S610: Determine a first target auxiliary interaction channel currently activated by a first auxiliary marketing digital person who is interacting with the first user;

[0132] S620: Clone the first auxiliary marketing digital person for the second user to obtain a second auxiliary marketing digital person, wherein the second auxiliary marketing digital person provides an available second auxiliary interaction channel, and the available second auxiliary interaction channel does not include the first target auxiliary interaction channel.

[0133] To further explain the advantages of the above-mentioned improved steps, Figure 1 Embodiments are introduced.

[0134] In the aforementioned Figure 1 In the embodiment, it has been noted that, for the first auxiliary marketing digital person, the currently available first auxiliary interaction channel is a voice interaction channel or a text interaction channel; the user finally selects the voice interaction channel.

[0135] That is, it is determined that the first target auxiliary interaction channel currently being activated by the first auxiliary marketing digital person who performs interaction with the first user is a voice interaction channel.

[0136] If the first user and the second user simultaneously use the same human-computer interaction terminal (for example, a terminal with multiple input and multiple output channels), then since the first target auxiliary interaction channel currently being activated by the first auxiliary marketing digital person is a voice interaction channel, the first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides an available second auxiliary interaction channel, which does not include the first target auxiliary interaction channel, that is, the available second auxiliary interaction channel provided by the second auxiliary marketing digital person does not include a voice interaction channel, so as to avoid resource conflicts and other processes that consume system resources.

[0137] In another case, the first user uses the first human-computer interaction terminal and the second user uses the second human-computer interaction terminal, but both open the same APP, which is provided with digital human-assisted marketing services by the cloud server. In this case, the above processing method can also avoid the conflict between similar resources in the cloud.

[0138] In addition, it should be pointed out that the first auxiliary marketing digital person and the second auxiliary marketing digital person (as well as other batches of auxiliary marketing digital persons that are regenerated and cloned each time) can display interfaces with voice interaction channels, visual interaction channels, and text interaction channels. However, when actually interacting with users, these three channel interfaces cannot be activated at the same time every time, depending on the resource availability and possible resource conflicts in the specific scenario.

[0139] In the above scenario, the first auxiliary marketing digital person displays three channel interfaces, namely, voice interaction channel, visual interaction channel and text interaction channel, on the interface, but only the voice interaction channel and text interaction channel are currently available. Visually, the visual interaction channel can be displayed in a dark gray state (unavailable), and the voice interaction channel and text interaction channel can be displayed in a highlighted state (available); the second auxiliary marketing digital person also displays three channel interfaces, namely, voice interaction channel, visual interaction channel and text interaction channel, on the interface, but the voice interaction channel is currently unavailable. Visually, the voice interaction channel can be displayed in a dark gray state (unavailable), and the visual interaction channel and text interaction channel can be displayed in a highlighted state (available).

[0140] Combination Figure 1-Figure 2 In order to facilitate the computer to complete the method flow of the present invention, the comprehensive implementation process of the embodiment is as follows:

[0141] A digital human marketing interaction method based on data processing, the method is implemented based on a human-computer interaction terminal, and the method comprises the following steps:

[0142] Step 1: In response to detecting that the i-th operation of the i-th user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode;

[0143] Step 2: in response to the i-th user activating the digital human-assisted marketing mode, obtaining the i-th operation data corresponding to the i-th operation of the i-th user on the human-computer interaction terminal;

[0144] Step 3: Determine whether there is a historical record of generating the j-th auxiliary marketing digital person for the j-th user. If so, proceed to Step 4;

[0145] Otherwise, go to Step 7;

[0146] Step 4: Obtain the jth operation data corresponding to the jth operation of the jth user used when generating the jth auxiliary marketing digital person;

[0147] Step 5: Determine whether the i-th operation data and the j-th operation data satisfy an association condition;

[0148] If yes, go to Step 6;

[0149] Otherwise, go to Step 7;

[0150] Step 6: Reusing the j-th auxiliary marketing digital person for the i-th user;

[0151] Step 7: Based on the i-th operation data, generate an i-th auxiliary marketing digital person for the i-th user.

[0152] It can be seen that when the system has generated a first auxiliary marketing digital person for the first user based on the first operation data of the first user, the auxiliary marketing digital person reuse module is used to perform a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person. This can fully reuse the existing resource pool state, avoid the reactivation, call, allocation and other processes of the resource pool, and speed up the efficiency of digital person generation and reproduction under the conditions of limited resource pools. This is because simple operation data comparison (which can be quickly compared through pre-calculated operation data segment hash values) and data cloning (which can be directly through virtual machine copy migration or container copy migration) operations require fewer process resources than regenerating an auxiliary marketing digital person from the starting point through resource allocation, and do not involve the complete redistribution of resources, which is faster and more efficient.

[0153] by Figure 3 The schematic diagram of the auxiliary marketing digital person generated in different scenarios is shown as an example. Among them, the auxiliary marketing digital person C, Y, and Z can all be cloned from the existing auxiliary marketing digital person B generated in history.

[0154] Of course, it can be seen that the auxiliary marketing digital people B, C, Y, and Z are not completely "clones", but there are certain differences and changes, but the overall architecture is consistent (for example, they all display three channel interfaces: voice interaction channel, visual interaction channel, and text interaction channel, but each currently available channel interface needs to be specifically determined based on the resource configuration and / or user selection / modification operations in the actual scenario).

[0155] In practical applications, after generating an auxiliary marketing digital person for the first user based on the first operation data, the method further includes:

[0156] At least one modification component is provided, and the modification component is used for the first user to modify the first auxiliary marketing digital person.

[0157] like Figure 4 As shown, Figure 4 It is a schematic diagram of the function buttons for users to modify the currently generated auxiliary marketing digital person.

[0158] The modified function buttons include gender switching, interactive channel switching, hairstyle switching, clothing switching, etc. Of course, the actual interactive interface can also include more detailed adjustment module buttons. Figure 4 Not fully shown.

[0159] Based on this, when the second operation data and the first operation data meet the association condition, reusing the first auxiliary marketing digital person for the second user further includes:

[0160] The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person is modified using the modification component to meet the user's personalized needs. For example, auxiliary marketing digital person B is cloned to obtain auxiliary marketing digital person B', and then auxiliary marketing digital person B' is modified to obtain auxiliary marketing digital persons C, Y, and Z.

[0161] exist Figure 1-Figure 2 Based on the method examples given, see next Figure 5 , Figure 5 It is a schematic diagram of the functional unit structure of a digital human marketing interaction system based on data processing according to an embodiment of the present invention.

[0162] Figure 5 A digital human marketing interaction system based on data processing is provided, the system comprising:

[0163] A user operation detection module is used to obtain the user's operation data within a preset time period;

[0164] A user expectation value prediction module, used to judge whether the current user's operation meets expectations based on the operation data obtained by the user operation detection module;

[0165] A digital human-assisted marketing mode display module, used to display a digital human-assisted marketing mode when the operation of the current user does not meet expectations;

[0166] A digital human assisted marketing mode activation module, used for a user to activate the digital human assisted marketing mode; an assisted marketing digital human generation module, used for generating an assisted marketing digital human for the current user based on the operation data acquired by the user operation detection module, wherein the assisted marketing digital human provides auxiliary operation data for the current user;

[0167] An auxiliary marketing digital person modification module, used for modifying the auxiliary marketing digital person after the auxiliary marketing digital person generation module generates the auxiliary marketing digital person for the current user;

[0168] The modification includes adjusting the auxiliary interaction channel mode currently used by the auxiliary marketing digital person, and the auxiliary interaction channel mode includes at least one of a voice interaction channel, a visual interaction channel or a text interaction channel.

[0169] The modifications also include gender switching modifications, hairstyle switching modifications, clothing switching modifications, etc. For each modification, corresponding replaceable colors, hairstyles, clothing, etc. are provided.

[0170] The system also includes a marketing-assisted digital human reuse module;

[0171] In the case where the system has generated a first auxiliary marketing digital person for the first user based on the first operation data of the first user, the auxiliary marketing digital person reuse module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides auxiliary operation data for the second user.

[0172] The system is connected to a plurality of resource pools, and the resource pools provide resource support for the generation of the auxiliary marketing digital person; each resource pool includes a plurality of channel resources, and the plurality of channel resources correspond to the auxiliary interaction channel mode;

[0173] The auxiliary marketing digital person multiplexing module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, specifically including:

[0174] Determine the target auxiliary interaction channel mode currently activated by the first auxiliary marketing digital person;

[0175] Determining the channel resources currently available for the cloning operation based on the target auxiliary interaction channel mode;

[0176] The cloning operation is performed based on channel resources currently available for the cloning operation.

[0177] The auxiliary marketing digital person multiplexing module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, specifically including:

[0178] determining a first target auxiliary interaction channel currently being activated with the first auxiliary marketing digital person;

[0179] The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides an available second auxiliary interaction channel, and the available second auxiliary interaction channel does not include the first target auxiliary interaction channel.

[0180] The aforementioned digital human marketing interaction method based on data processing can be automatically implemented through various forms of electronic devices through computer program instructions; the computer program instructions can be stored in different forms of storage media and loaded into computer electronic devices for execution.

[0181] Therefore, more embodiments further provide a computer-readable storage medium for storing computer instructions, which, when executed on an electronic device, causes the electronic device to execute Figure 1 or Figure 2 The embodiment provides a digital human marketing interaction method based on data processing.

[0182] More embodiments further provide a computer device, the computer device comprising a processor and a memory, the memory being used to store instructions, the processor being used to call the instructions in the memory so that the computer device executes Figure 1 or Figure 2 The embodiment provides a digital human marketing interaction method based on data processing.

[0183] More embodiments further provide a computer program product, the product comprising a computer program, when the computer program is executed, the Figure 1 or Figure 2 A digital human marketing interaction method based on data processing is implemented in the embodiment.

[0184] The technical solution of the present application displays the digital human assisted marketing mode only when it is detected that the user's operation on the human-computer interaction terminal is not in line with expectations, thereby avoiding the permanent residence of the digital human assisted marketing mode process; and the assisted marketing digital human is generated only when the user activates the digital human assisted marketing mode, which can make the timing of digital human intervention more targeted; finally, when the system has generated a first assisted marketing digital human for the first user based on the first operation data of the first user, the assisted marketing digital human reuse module is used to perform a cloning operation on the first assisted marketing digital human to obtain a second assisted marketing digital human, which can fully reuse the existing resource pool status and avoid the reactivation, call, allocation and other processes of the resource pool, and can speed up the efficiency of digital human generation and reproduction under the condition of limited resource pool, and the timing of appearance meets user expectations.

[0185] In the embodiments of the present application, the term "module" or "unit" refers to a computer program or a part of a computer program with a predetermined function, and works together with other related parts to achieve a predetermined goal, and can be implemented in whole or in part by using software, hardware (such as processing circuits or memories) or a combination thereof. Similarly, a processor (or multiple processors or memories) can be used to implement one or more modules or units. In addition, each module or unit can be part of an overall module or unit that includes the function of the module or unit.

[0186] At the same time, in the specific implementation of this application, if user-related data is involved, when the embodiment of this application is applied to a specific product or technology, the user's permission or consent must be obtained, and the collection, use and processing of relevant data must comply with relevant laws, regulations and standards of relevant countries and regions.

[0187] Other technologies, principles, algorithms or models not elaborated in detail in this application can be referred to in the prior art. The prior art cited in the embodiments is an integral part of the disclosure of the present invention.

[0188] The foregoing has shown and described the method embodiments and system of the present invention, but it is understandable to those skilled in the art that various changes, modifications, substitutions and variations may be made to these embodiments without departing from the principles and spirit of the present invention, and the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A digital human marketing interaction method based on data processing, the method is implemented based on a human-computer interaction terminal, characterized in that: The method comprises the following steps: In response to detecting that the first operation of the first user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode; In response to the first user activating the digital human assisted marketing mode, obtaining first operation data corresponding to the first operation of the first user on the human-computer interaction terminal; Based on the first operation data, a first auxiliary marketing digital person is generated for the first user, and the first auxiliary marketing digital person provides first auxiliary operation data for the first user.

2. A digital human marketing interaction method based on data processing as claimed in claim 1, characterized in that: After generating an auxiliary marketing digital person for the first user based on the first operation data, the method further includes: At least one modification component is provided, and the modification component is used for the first user to modify the first auxiliary marketing digital person.

3. A digital human marketing interaction method based on data processing as claimed in claim 1, characterized in that: After generating an auxiliary marketing digital person for the first user based on the first operation data, the method further includes: In response to detecting that the second operation of the second user on the human-computer interaction terminal does not meet expectations, displaying a digital human-assisted marketing mode; In response to the second user activating the digital human-assisted marketing mode, obtaining second operation data corresponding to the second operation of the second user on the human-computer interaction terminal; When the second operation data and the first operation data satisfy an association condition, the first auxiliary marketing digital person is reused for the second user.

4. A digital human marketing interaction method based on data processing as claimed in claim 3, characterized in that: The reusing of the first auxiliary marketing digital person for the second user specifically includes: The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides second auxiliary operation data for the second user.

5. A digital human marketing interaction method based on data processing as claimed in claim 4, characterized in that: The first auxiliary marketing digital person provides the first auxiliary operation data for the first user, specifically including: The first auxiliary marketing digital person provides a plurality of first auxiliary interaction channels, wherein the plurality of first auxiliary interaction channels include at least one of a voice interaction channel, a visual interaction channel or a text interaction channel; Through the auxiliary interaction channel, the first auxiliary marketing digital person provides the first auxiliary operation data to the first user.

6. A digital human marketing interaction method based on data processing as claimed in claim 5, characterized in that: The reusing of the first auxiliary marketing digital person for the second user specifically includes: Determine a first target auxiliary interaction channel currently activated by a first auxiliary marketing digital person who performs interaction with the first user; The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides an available second auxiliary interaction channel, and the available second auxiliary interaction channel does not include the first target auxiliary interaction channel.

7. A digital human marketing interaction system based on data processing, characterized in that: The system includes: a user operation detection module, which is used to obtain the user's operation data within a preset time period; A user expectation value prediction module, used to judge whether the current user's operation meets expectations based on the operation data obtained by the user operation detection module; A digital human-assisted marketing mode display module, used to display a digital human-assisted marketing mode when the operation of the current user does not meet expectations; A digital human-assisted marketing mode activation module, used for a user to activate the digital human-assisted marketing mode; An auxiliary marketing digital person generating module, configured to generate an auxiliary marketing digital person for the current user based on the operation data acquired by the user operation detection module, wherein the auxiliary marketing digital person provides auxiliary operation data for the current user; An auxiliary marketing digital person modification module, used for modifying the auxiliary marketing digital person after the auxiliary marketing digital person generation module generates the auxiliary marketing digital person for the current user; The modification includes adjusting the auxiliary interaction channel mode currently used by the auxiliary marketing digital person, and the auxiliary interaction channel mode includes at least one of a voice interaction channel, a visual interaction channel or a text interaction channel.

8. A digital human marketing interaction system based on data processing as claimed in claim 7, characterized in that: The system also includes a marketing-assisted digital human reuse module; In the case where the system has generated a first auxiliary marketing digital person for the first user based on the first operation data of the first user, the auxiliary marketing digital person reuse module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides auxiliary operation data for the second user.

9. A digital human marketing interaction system based on data processing as claimed in claim 8, characterized in that: The system is connected to a plurality of resource pools, and the resource pools provide resource support for the generation of the auxiliary marketing digital person; each resource pool includes a plurality of channel resources, and the plurality of channel resources correspond to the auxiliary interaction channel mode; The auxiliary marketing digital person multiplexing module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, specifically including: Determine the target auxiliary interaction channel mode currently activated by the first auxiliary marketing digital person; Determining the channel resources currently available for the cloning operation based on the target auxiliary interaction channel mode; The cloning operation is performed based on channel resources currently available for the cloning operation.

10. A digital human marketing interactive system based on data processing as claimed in claim 8, characterized in that: The auxiliary marketing digital person multiplexing module performs a cloning operation on the first auxiliary marketing digital person to obtain a second auxiliary marketing digital person, specifically including: determining a first target auxiliary interaction channel currently being activated with the first auxiliary marketing digital person; The first auxiliary marketing digital person is cloned for the second user to obtain a second auxiliary marketing digital person, and the second auxiliary marketing digital person provides an available second auxiliary interaction channel, and the available second auxiliary interaction channel does not include the first target auxiliary interaction channel.

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