Method, electronic device, storage medium and program product for requesting execution

Abstract

This application provides a request execution method, electronic device, storage medium, and program product, relating to the fields of artificial intelligence technology and data processing. The method includes: responding to a received object interaction request, parsing the object interaction request, and constructing an interaction task for the object interaction request; outputting an interaction template based on a task identifier of the interaction task, and receiving interaction materials corresponding to the interaction template; inputting the interaction materials into a material review model, reviewing the interaction materials using the material review model, and obtaining a material review result; and executing the object interaction request based on the material review result. This application solves the technical problem in related technologies where the interaction process for after-sales service of goods cannot meet user needs.

Description

Technical Field

[0001] This application relates to artificial intelligence technology and data processing, and more specifically, to a request execution method, electronic device, storage medium, and program product. Background Technology

[0002] In current e-commerce transaction scenarios, disputes between buyers and sellers due to issues such as product quality, logistics, or after-sales service are becoming increasingly frequent. Traditional after-sales service mainly relies on the intervention of human customer service. Although it can achieve basic dispute mediation to a certain extent, the overall mediation process is complex and cumbersome. Users or merchants need to repeatedly submit evidence to prove their point of view, and human customer service also needs to subjectively judge the reliability of this evidence, resulting in significant labor costs and low efficiency in the interaction process. As a result, the overall interaction process of after-sales service cannot meet users' needs for products.

[0003] There is currently no effective solution to the above problems. Summary of the Invention

[0004] This application provides a request execution method, electronic device, storage medium, and program product to at least solve the technical problem in the related art that the interaction process for after-sales service of goods cannot meet user needs.

[0005] According to one aspect of the embodiments of this application, a request execution method is provided, comprising: responding to receiving an object interaction request, parsing the object interaction request, constructing an interaction task for the object interaction request, wherein the object interaction request is used to reflect the interaction needs generated during the interaction process of the target object, and the interaction task is used to interact with the object interaction request based on the interaction needs; outputting an interaction template based on the task identifier of the interaction task, and receiving interaction materials corresponding to the interaction template, wherein the interaction template is used to characterize the carrier carrying the interaction materials; inputting the interaction materials into a material review model, reviewing the interaction materials using the material review model, and obtaining a material review result; and executing the object interaction request based on the material review result.

[0006] According to another aspect of the embodiments of this application, another request execution method is also provided, including: responding to an input instruction applied to an operation interface, displaying an interaction task of an object interaction request on the operation interface, wherein the interaction task is obtained by parsing the object interaction request, the object interaction request is used to reflect the interaction needs generated during the interaction process of the target object, and the interaction task is used to interact with the object interaction request based on the interaction needs; responding to a processing instruction applied to the operation interface, displaying the execution result of the object interaction request on the operation interface, wherein the execution result is obtained by executing the object interaction request based on the material review result, the material review result is obtained by reviewing the interaction material by the material review model, the interaction material is obtained through an interaction template, the interaction template is output through the task identifier of the interaction task, and the interaction template is used to characterize the carrier carrying the interaction material.

[0007] According to another aspect of the embodiments of this application, a request execution apparatus is also provided, comprising: a task construction module, configured to, in response to receiving an object interaction request, parse the object interaction request and construct an interaction task for the object interaction request, wherein the object interaction request is used to reflect the interaction needs generated during the interaction process of the target object, and the interaction task is used to interact with the object interaction request based on the interaction needs; a material receiving module, configured to output an interaction template based on the task identifier of the interaction task and receive the interaction material corresponding to the interaction template, wherein the interaction template is used to characterize the carrier carrying the interaction material; a material review module, configured to input the interaction material into a material review model, review the interaction material using the material review model, and obtain a material review result; and a request execution module, configured to execute the object interaction request based on the material review result.

[0008] According to another aspect of the embodiments of this application, a request execution device is also provided, comprising: a first display module, configured to respond to an input command applied to an operation interface and display an interaction task of an object interaction request on the operation interface, wherein the interaction task is obtained by parsing the object interaction request, the object interaction request is used to reflect the interaction needs generated during the interaction process of the target object, and the interaction task is used to interact with the object interaction request based on the interaction needs; and a second display module, configured to respond to a processing command applied to the operation interface and display the execution result of the object interaction request on the operation interface, wherein the execution result is obtained by executing the object interaction request based on the material review result, the material review result is obtained by reviewing the interaction material by a material review model, the interaction material is obtained through an interaction template, the interaction template is output through the task identifier of the interaction task, and the interaction template is used to characterize the carrier carrying the interaction material.

[0009] According to another aspect of the embodiments of this application, a computing device is also provided, including: a memory storing an executable program; and a processor for running the program, wherein the program executes the methods in various embodiments of this application when it runs.

[0010] According to another aspect of the embodiments of this application, an electronic device is also provided, including: a memory storing an executable program; and a processor connected to the memory via a bus for running the program, wherein the program executes the methods in various embodiments of this application when it runs.

[0011] According to another aspect of the embodiments of this application, a computer-readable storage medium is also provided, the computer-readable storage medium including a stored executable program, wherein, when the executable program is running, it controls the device where the computer-readable storage medium is located to perform the methods of various embodiments of this application.

[0012] According to another aspect of the embodiments of this application, a computer program product is also provided, including a computer program that, when executed by a processor, implements the methods of various embodiments of this application.

[0013] According to another aspect of the embodiments of this application, a computer program product is also provided, including a non-volatile computer-readable storage medium storing a computer program, which, when executed by a processor, implements the methods in various embodiments of this application.

[0014] According to another aspect of the embodiments of this application, a computer program is also provided, which, when executed by a processor, implements the methods of the various embodiments of this application.

[0015] In this embodiment, the system parses the object interaction request to construct an interaction task; outputs an interaction template based on the task identifier of the interaction task and receives the corresponding interaction materials; inputs the interaction materials into a material review model, reviews the interaction materials using the material review model, and obtains the material review result; and executes the object interaction request based on the material review result. By constructing an interaction task corresponding to the object interaction request and collecting interaction materials through the interaction template corresponding to the interaction task, the accuracy of the collected interaction materials can be guaranteed, while improving the convenience and efficiency of collecting interaction materials. Furthermore, reviewing the interaction materials through the material review model can also improve the review efficiency of interaction materials, reduce the cost of manual review, and ensure that the material review result is accurate and effective. This enables the execution system to accurately execute the object interaction request based on the material review result, ensuring that the entire interaction process can fully meet the user's interaction needs, thereby solving the technical problem in related technologies where the interaction process for after-sales service of goods cannot meet user needs.

[0016] The above general description and the following detailed description are for illustrative and explanatory purposes only and do not constitute a limitation thereof. Attached Figure Description

[0017] The accompanying drawings, which are included to provide a further understanding of this application and form part of this application, illustrate exemplary embodiments and are used to explain this application, but do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 This is a schematic diagram illustrating an application scenario of a request execution method according to an embodiment of this application;

[0019] Figure 2 This is a flowchart illustrating a request execution method according to an embodiment of this application;

[0020] Figure 3 This is a schematic diagram illustrating a simplified request execution process according to an embodiment of this application;

[0021] Figure 4 This is a schematic diagram illustrating a detailed request execution process according to an embodiment of this application;

[0022] Figure 5 This is a flowchart illustrating another request execution method according to an embodiment of this application;

[0023] Figure 6 This is a structural block diagram of a request execution device according to an embodiment of this application;

[0024] Figure 7 This is a structural block diagram of another request execution device according to an embodiment of this application;

[0025] Figure 8 This is a structural block diagram of a computing device according to an embodiment of this application;

[0026] Figure 9 This is a structural block diagram of an electronic device according to an embodiment of this application. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described below are only some, not all, of the embodiments of the present application. All other embodiments obtained by those skilled in the art based on the embodiments of the present application without creative effort should fall within the scope of protection of the present application.

[0028] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in other orders. Wherein, "other orders" refers to orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such as a process, method, system, product, or apparatus that comprises a series of steps or units, not necessarily limited to those explicitly listed, but may include other steps or units not explicitly listed, or inherent to such processes, methods, products, or apparatus.

[0029] The user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant countries and regions, and corresponding operation portals are provided for users to choose to authorize or refuse.

[0030] The technical solution provided in this application is mainly implemented using a deep learning model. Deep learning models can be widely applied in fields such as Natural Language Processing (NLP), computer vision, and speech processing. Specifically, they can be applied to computer vision tasks such as Visual Question Answering (VQA), Image Captioning (IC), and image generation, as well as to natural language processing tasks such as text-based sentiment classification, text summarization, and machine translation. Therefore, the main application scenarios of this application include, but are not limited to, digital assistants, intelligent robots, search, online education, office software, e-commerce, and intelligent design. In this application embodiment, the review of user-interacted materials using a material review model in the context of after-sales service for goods is used as an example for explanation.

[0031] According to an embodiment of this application, a request execution method is provided. The steps shown in the flowcharts of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in a different order than that shown here.

[0032] The technical solutions provided in this application can employ deep learning models with relatively large parameter scales, such as large models containing billions or even more model parameters. Here, "large model" is just one example; this application does not limit the number of model parameters supported by the deep learning model used, aiming to meet actual needs. The deep learning models involved in this application can be artificial intelligence-based language models (LM) or multimodal models (MM).

[0033] Considering the limited computing resources of mobile terminals, the methods described above in this application embodiment can be applied to, for example... Figure 1 The application scenarios shown. Figure 1 This is a schematic diagram illustrating an application scenario of a request execution method according to an embodiment of this application. Figure 1 In the application scenario shown, the deep learning model is deployed on server 10. Server 10 can connect to one or more client devices 20 via a local area network (LAN), wide area network (WAN), internet connection, or other types of data network. Client devices 20 may include, but are not limited to, smartphones, tablets, laptops, PDAs, personal computers, smart home devices, and in-vehicle devices. Client devices 20 can interact with users through a graphical user interface to invoke the deep learning model, thereby implementing the method provided in this embodiment.

[0034] In this embodiment, the system consisting of a client device and a server can perform the following steps: the client device sends an object interaction request; and receives the request execution result. The server parses the object interaction request, constructs an interaction task for the object interaction request, outputs an interaction template based on the task identifier of the interaction task, and receives the interaction materials corresponding to the interaction template; inputs the interaction materials into a material review model, reviews the interaction materials using the material review model, and obtains a material review result; and executes the object interaction request based on the material review result to obtain the request execution result.

[0035] With the rapid development of high-performance computing units, the methods provided in this application embodiment can also be applied to model-in-the-loop machines in other application scenarios. In one optional embodiment, the model-in-the-loop machine has multiple built-in models. Users can select a model to adjust as needed to obtain their own model. The high-performance computing unit built into the model-in-the-loop machine can then directly call the adjusted model to execute the methods provided in this application embodiment. In another optional embodiment, the deep learning model-in-the-loop machine has a pre-trained model built-in. The high-performance computing unit built into the model-in-the-loop machine can then directly call this model to execute the methods provided in this application embodiment.

[0036] Furthermore, when users need to train their own models, they can upload their own datasets via the client. This dataset is sent from the client to the server. The server can then use this dataset to fine-tune the pre-trained model, resulting in the user's customized model, which can then be deployed to the production environment. To facilitate user adjustments, the server provides complete adjustment tools, development frameworks, and processes, supporting various adjustment strategies. This allows the adjusted model to better adapt to different application domains and achieve a high degree of customization.

[0037] Under the aforementioned operating environment, this application provides the following: Figure 2 The request execution method is shown. Figure 2 This is a flowchart illustrating a request execution method according to an embodiment of this application. For example... Figure 2 As shown, the method may include the following steps:

[0038] Step S202: In response to receiving an object interaction request, the object interaction request is parsed and an interaction task for the object interaction request is constructed.

[0039] Among them, object interaction request is used to reflect the interaction needs generated during the interaction process of the target object, and interaction task is used to interact with the object interaction request based on the interaction needs.

[0040] The aforementioned target object can refer to an object that requires user interaction, such as goods, virtual services, digital audio and video, etc. Users can communicate and negotiate with merchants through virtual resources to express their interaction needs for the target object, such as requests for product repair, refunds, or exchanges. Merchants can also act as users triggering object interaction requests; for example, merchants can initiate refund appeals or list products based on their interaction needs for the target object.

[0041] The aforementioned object interaction request can refer to a request initiated by a user based on their own interaction needs with the target object during the interaction process. For example, it could be a request for repair, refund, or exchange of purchased goods initiated during communication with a merchant.

[0042] The aforementioned interactive tasks can refer to tasks triggered by user interaction needs, used to obtain data materials submitted by the user. For example, these could be product images or videos, voice descriptions, or text descriptions provided by the user to the merchant during after-sales service. The execution system can verify whether the user's interaction needs can be met by obtaining the evidence submitted by the user. For instance, when a user is dissatisfied with a purchased product and wants a refund or exchange, the execution system can determine whether the product meets the conditions for a refund or exchange based on the materials submitted by the user, such as whether the product is damaged or affects resale, thereby determining whether the user's refund or exchange request can be met.

[0043] In one optional solution of this embodiment, considering scenarios where users need to submit evidence to determine whether their interaction needs with the target object can be met, such as when a user is dissatisfied with a purchased product and negotiates a refund with the merchant, the user typically needs to submit evidence to the merchant or the execution system, such as photos of the product or a textual description of their dissatisfaction with the product, to assist the merchant or the execution system in confirming whether a refund can be issued. However, due to the strong subjectivity in the communication process between users and merchants, merchants may ignore the authenticity of the evidence submitted by the user and refuse the user's interaction request due to personal reasons, or merchants may not be able to communicate with the user in a timely manner to collect or review the evidence submitted by the user due to work or health reasons. As a result, after initiating the above-mentioned object interaction request, the user may face situations such as excessively long waiting times, cumbersome review processes, and request failures, which affect the user's shopping experience.

[0044] Therefore, in order to collect and verify the evidence submitted by users in a timely manner to determine whether the user's interaction needs for the target object can be met, the execution system can parse the object interaction request triggered by the user, such as when the user confirms the purchase of a product or applies for a refund for a purchased product, and automatically construct an interaction task corresponding to the object interaction request. In this way, the system can collect evidence submitted by the user that is related to the interaction needs through the interaction task and determine whether the user's interaction needs can be met.

[0045] For example, if a user is dissatisfied with the shoes they just bought and wants a refund, the system can construct a task based on the user's refund request to obtain the appearance of the shoes and the user's reason for the refund, in order to review the user's refund request and confirm whether a refund can be issued.

[0046] If a user's purchased washing machine malfunctions and the user wants to apply for repair service, the system can construct a task to review and repair the malfunction based on the description or pictures of the malfunction submitted by the user. This task will review the user's application for repair service and determine whether repair operation is necessary.

[0047] Step S204: Output the interaction template based on the task identifier of the interaction task, and receive the interaction materials corresponding to the interaction template.

[0048] Interactive templates are used to characterize the carriers that support interactive materials.

[0049] The aforementioned interactive materials can refer to evidence submitted by the user. The aforementioned interactive template can refer to a tool template that serves as a conduit for user-submitted interactive materials between the user, the merchant, and the execution system. This template may include, but is not limited to, interactive cards, structured forms, links, etc. Users can fill in the interactive materials in the interactive template, and the corresponding execution system and merchant can obtain the user-submitted interactive materials through the template.

[0050] In one optional solution of this embodiment, considering that the interaction requirements corresponding to different object interaction requests initiated by users are different, if users submit evidence according to fixed preset rules, there may be situations where the evidence prepared by the user cannot be submitted, or where sufficient and valid evidence cannot be submitted according to the preset rules, resulting in the rejection of the user's interaction request and affecting the user experience.

[0051] Therefore, in order to fully collect evidence related to user interaction needs and ensure accurate review of these needs, the execution system can adaptively select matching rules to collect evidence for different user interaction requests, thereby ensuring the rationality and accuracy of the collected evidence. Based on this, during the evidence collection process through interaction tasks, the execution system can first determine and output an interaction template matching the task. After the user fills out the template, the system retrieves the corresponding interaction materials based on the returned template. For example, for a user's request for a refund, the execution system's output interaction template could include product image collection, a description of the refund reason, etc., allowing the system to accurately determine whether the user's refund request can be met based on the evidence provided in the interaction template.

[0052] To ensure the traceability of the entire interaction process and to avoid the inability to correct the review results in a timely manner in the event of a user's interaction request being mistakenly approved, the execution system can generate a corresponding task identifier for the constructed interaction task, and then introduce the task identifier of the interaction task in the process of outputting the interaction template.

[0053] Step S206: Input the interactive materials into the material review model, and use the material review model to review the interactive materials to obtain the material review results.

[0054] In one optional embodiment, after collecting the evidence submitted by the user through the interaction template, i.e. the aforementioned interaction materials, in order to ensure accurate judgment of whether the user's interaction needs can be met, the execution system can first review the interaction materials and obtain the corresponding material review results, so as to determine whether the user's interaction needs can be met through the material review results.

[0055] For example, to improve the accuracy of material review results, the execution system can first identify the interactive materials, determine their relevance to the user's interaction needs, and assess their credibility. If the identification results show a correlation between the interactive materials and the user's interaction needs, and the materials have high credibility, the execution system can further determine whether the interactive materials can meet the processing requirements corresponding to the interaction needs, obtain the corresponding judgment result, and finally generate the corresponding material review result based on the identification and judgment results.

[0056] For example, if a user's interaction request is for a refund of product A, the system can first identify the product image submitted by the user to determine if the product shown in the image is product A. If it is, the system can further detect the degree of damage to the product image to determine if it will affect the resale of product A. If it will not affect the resale of product A, the review result can be determined as the user's submitted interaction materials passing the review, and the corresponding user's refund request can be fulfilled. If the product shown in the image is not product A, or if the image shows that the user has used product A, and the degree of damage to product A will affect its resale, the review result can be determined as the user's submitted interaction materials failing the review, and the corresponding user's refund request cannot be fulfilled.

[0057] Furthermore, considering that while manual review of interactive materials offers high accuracy, it often suffers from high costs and low efficiency due to the potentially large volume of data submitted by users or insufficient reviewer experience. Therefore, to ensure timely and accurate review of user-submitted interactive materials, the aforementioned material review model can be configured within the interactive system. The execution system then inputs the collected interactive materials into the material review model, which reviews the materials, thereby improving review efficiency and avoiding the influence of reviewer subjectivity on the review results.

[0058] Step S208: Execute an object interaction request based on the material review results.

[0059] In one optional embodiment, after obtaining the material review result of the interactive material, the execution system can execute the object interaction request triggered by the user based on the material review result.

[0060] To make it easier to understand, let's continue with the example of a user's request for a refund. If the review results show that the user's submitted materials have passed the review, the system can directly proceed with the refund process. If the review results show that the user's submitted materials have failed the review, the system can reject the user's refund request and provide the corresponding reasons, such as insufficient or invalid materials. At the same time, the system can provide the user with a new interactive template to facilitate the user's supplementation of materials, thereby improving the user experience.

[0061] In this embodiment, the system parses the object interaction request to construct an interaction task; outputs an interaction template based on the task identifier of the interaction task and receives the corresponding interaction materials; inputs the interaction materials into a material review model, reviews the interaction materials using the material review model, and obtains the material review result; and executes the object interaction request based on the material review result. By constructing an interaction task corresponding to the object interaction request and collecting interaction materials through the interaction template corresponding to the interaction task, the accuracy of the collected interaction materials can be guaranteed, while improving the convenience and efficiency of collecting interaction materials. Furthermore, reviewing the interaction materials through the material review model can also improve the review efficiency of interaction materials, reduce the cost of manual review, and ensure that the material review result is accurate and effective. This enables the execution system to accurately execute the object interaction request based on the material review result, ensuring that the entire interaction process can fully meet the user's interaction needs, thereby solving the technical problem in related technologies where the interaction process for after-sales service of goods cannot meet user needs.

[0062] In this embodiment, parsing an object interaction request and constructing an interaction task for that object interaction request includes: obtaining historical interaction data corresponding to the object interaction request, wherein the historical interaction data is used to characterize the interaction data generated during the interaction with the target object; obtaining at least one request execution scheme corresponding to the object interaction request based on the object interaction request and the historical interaction data, wherein the at least one request execution scheme is used to characterize the interaction scheme used during the execution of the object interaction request; filtering the at least one request execution scheme based on its scheme type to obtain a target execution scheme; and constructing an interaction task based on the target execution scheme.

[0063] In one optional embodiment, to accurately construct an interaction task matching the object's interaction request, the execution system can first acquire interaction data generated by the user during interaction with the target object, i.e., the aforementioned historical interaction data. This historical interaction data helps understand the user's true needs regarding the target object, preventing misjudgments that could lead to errors in the constructed interaction task, such as outputting incorrect interaction templates or analyzing interaction materials in the wrong way. The historical interaction data may include, but is not limited to, user communication records with the target object and the merchant, or data on the user's historical behavior when viewing the target object within a historical time period.

[0064] After acquiring historical interaction data, the execution system can further determine the interaction scheme that can be used in executing the object interaction request, i.e., at least one of the aforementioned request execution schemes, based on the object interaction request and the historical interaction data. For example, for a product refund request, the execution system can select a scheme that matches the user's expected refund process and determine the materials the user needs to provide when applying for a refund.

[0065] Considering that different solutions may be used in different scenarios, blindly executing received object interaction requests according to the execution plan may not meet the user's interaction needs for the target object. Therefore, after obtaining at least one execution plan corresponding to the object interaction request, the execution system can determine the plan type of different request execution plans, and determine the degree of correlation between different request execution plans and the object interaction request based on the plan type. This allows for the filtering of the obtained request execution plans based on the plan type to determine the target execution plan that matches the object interaction request, ensuring the accuracy of the final target execution plan used. For example, in the scenario mentioned above where the user needs to submit evidence to prove that their interaction needs can be met, the corresponding target execution plan's plan type could be the interaction type, i.e., a plan that collects the evidence submitted by the user and identifies and verifies the evidence.

[0066] After selecting the target execution plan, the execution system can construct interactive tasks according to the target execution plan, thereby ensuring the rationality and accuracy of the interactive tasks.

[0067] In this embodiment of the application, obtaining at least one request execution scheme corresponding to an object interaction request based on an object interaction request and historical interaction data includes: extracting features from historical interaction data and object interaction requests respectively to obtain interaction data features and interaction request features; constructing request execution conditions for the object interaction request based on the interaction data features and interaction request features; matching the request execution conditions with the execution conditions of multiple execution schemes in the execution scheme list respectively to obtain condition matching results; and filtering multiple execution schemes based on the condition matching results to obtain at least one request execution scheme.

[0068] In one optional embodiment, to improve the efficiency of obtaining request execution plans, a corresponding list of execution plans and execution conditions corresponding to multiple execution plans in the execution system can be configured. Correspondingly, during the process of obtaining request execution plans, the execution system can first extract features from the acquired historical interaction data and object interaction requests to obtain corresponding interaction data features and interaction request features, and then construct the request execution conditions for the object interaction request based on the interaction data features and interaction request features.

[0069] After constructing the request execution conditions, the execution system can match the request execution conditions with the execution conditions corresponding to multiple execution plans in the execution plan list to obtain the corresponding condition matching results. Based on the condition matching results, at least one request execution plan is selected from the execution plan list, thereby improving the efficiency of selecting request execution plans while ensuring the rationality of the selected request execution plans.

[0070] In this embodiment of the application, constructing an interactive task based on a target execution scheme includes: inputting the scheme parameters of the target execution scheme into an interactive example generation model; using the interactive example generation model to generate an interactive example corresponding to the object interactive request, wherein the interactive example is used to indicate the execution process of the interactive task; based on the example features of the interactive example, obtaining multiple interactive tools matching the interactive example from a tool library, wherein the multiple interactive tools are used to characterize the tools used in the execution process of the interactive task; and constructing the interactive task based on the interactive example and the multiple interactive tools.

[0071] The aforementioned interactive examples can refer to prompts users about the execution process of interactive tasks, such as how to fill out an interactive template, how to submit an interactive template, and how to view the material review results. The aforementioned interactive tools can refer to tools used during the execution of interactive tasks, such as tools for starting, ending, canceling, and querying interactive tasks.

[0072] In one optional embodiment, to ensure the rationality of the constructed interactive task, during the process of constructing the interactive task based on the target execution plan, the execution system can input the plan parameters of the target plan into the interactive example generation model, generate corresponding interactive examples through the interactive example generation model, and then extract features from the interactive examples to obtain corresponding example features. Using the example features, the execution system can select multiple interactive tools corresponding to the interactive examples from a preset tool library, and construct the aforementioned interactive task based on the generated interactive examples and the corresponding multiple interactive tools.

[0073] In this embodiment of the application, the output of the interaction template based on the task identifier of the interaction task includes: identifying the historical interaction data corresponding to the object interaction request to obtain the data identification result, wherein the data identification result is used to characterize whether other interaction templates have been used in the process of interacting with the target object; determining the template type of the template to be constructed based on the data identification result; constructing the interaction template based on the interaction examples and template types included in the interaction task; and sending the interaction template using the interaction tools included in the interaction task based on the task identifier of the interaction task.

[0074] In one optional embodiment, considering that the requirements for user-submitted interactive materials may differ at different stages of communication between the user and the merchant, or at different stages of the user's browsing of products, the execution system can continue to use a product refund request as an example. If this is the user's first refund request, the execution system can send the user a standard interactive template for filling in the interactive materials. However, if the user has already submitted interactive materials and further explanation is required, the execution system can send the user a new interactive template to confirm whether the previously submitted materials need to be replaced or if any new materials need to be added.

[0075] Therefore, to accurately output interaction templates and avoid errors that could prevent users from correctly responding to their interaction needs, the execution system first identifies historical interaction data corresponding to the object's interaction request. This identification result determines whether other interaction templates were used during the user's interaction with the target object. Based on the identification result, the execution system accurately analyzes the current interaction stage, thus accurately determining the template type to be built. Based on the interaction examples and template types included in the interaction task, it constructs an interaction template that meets the user's current interaction needs. Finally, the execution system outputs the interaction template according to the task identifier of the interaction task.

[0076] In this embodiment of the application, before executing the object interaction request based on the material review result, the method further includes: evaluating the confidence level of the material review result to obtain a confidence score; in response to the confidence score being less than a preset threshold, filtering the interactive materials based on the material review result to obtain target materials, wherein the target materials are used to characterize materials with abnormalities in the interactive materials; outputting the target materials and receiving the target review result corresponding to the target materials; updating the material review result based on the target review result, and determining the updated material review result as the new material review result.

[0077] In one optional embodiment, considering that even a repeatedly trained material review model may still make review errors, in order to ensure the accuracy of executing object interaction requests using the material review results, after the material review model outputs the material review results, the execution system can further evaluate the confidence level of the material review results to obtain the corresponding confidence score. Then, if the confidence score is greater than or equal to a preset threshold, it is determined that the material review results are accurate and can be used in the process of executing object interaction requests.

[0078] If the corresponding confidence score is less than a preset threshold, it indicates that the current material review result may be inaccurate. To ensure the accuracy of the object interaction request during execution, the execution system can introduce manual review to further examine the interactive materials and update the material review results, thereby ensuring the accuracy of the updated material review results. To reduce the cost of manual review, the execution system can first use the material review results to filter the interactive materials, identifying target materials with anomalies—that is, target materials whose corresponding material review results have a confidence score less than the aforementioned preset threshold. After identifying the target materials, the execution system can output the target materials and receive the target review results obtained by the reviewers. Then, it uses the target review results to update the aforementioned material review results, thereby obtaining a new material review result with higher accuracy.

[0079] In this embodiment of the application, after parsing the object interaction request and constructing the interaction task of the object interaction request, the above method further includes: constructing an action storage area for the interaction task based on the task identifier of the interaction task, wherein the action storage area is used to store the interaction actions generated during the execution of the interaction task; when the tool usage data of any interaction tool in the interaction task is detected, parsing the tool usage data to obtain the interaction action corresponding to the interaction tool; and storing the interaction action in the action storage area.

[0080] In one optional embodiment, to ensure the traceability of the entire traceability result, after constructing the interaction task corresponding to the object interaction request, the execution system can construct an action storage area corresponding to the interaction task based on the task identifier of the interaction task. This action storage area stores the interaction actions generated during the execution of the interaction task. Based on this, when tool usage data of any interaction tool in the interaction task is detected, the execution system can parse the tool usage data, determine the interaction action corresponding to the interaction tool, and then store the interaction action in the action storage area, allowing users or merchants to query the entire execution process.

[0081] In this embodiment, considering that the above-described request execution process involves multiple execution steps, simply using a single execution model or agent to execute these steps may not effectively integrate the execution results of different steps, and may also result in poor scalability and a lack of asynchronous processing capabilities. Therefore, in the execution system, multiple different agents can be used to execute the different execution steps respectively, thereby improving the execution system's ability to handle object interaction requests.

[0082] For example, an execution system can include at least three agents: a planning agent, a decision agent, and an auditing agent. The planning agent is responsible for constructing, decomposing, and invoking tools for the interactive tasks. The decision agent provides a list of execution plans and the execution conditions for different plans to select the appropriate target execution plan. The auditing agent combines multiple material auditing models to audit the interactive materials and summarizes and evaluates the audit results.

[0083] Therefore, to facilitate understanding of the above request execution process, Figure 3 This is a schematic diagram illustrating a simplified request execution process according to an embodiment of this application. Figure 3 As shown, during the request execution process, the planning agent can output an interaction template to the user and receive the interaction materials submitted by the user in filling out the interaction template. Then, it retrieves the target execution plan that matches the user's current object interaction request from the judgment agent. Specifically, when outputting the interaction template, the planning agent can first generate a corresponding interaction example to start the interaction task, and then construct the corresponding interaction template based on the recognition results and the interaction example by identifying the user's historical interaction data.

[0084] After receiving the interactive materials, the planning agent can send them to the review agent for review, and update the review results using a combination of manual review and other methods to ensure the accuracy of the review results. Finally, the execution system can execute the object interaction request based on the material review results output by the review agent, and store the relevant data generated throughout the execution process in a pre-set work order for easy data traceability by the user.

[0085] Figure 4 This is a schematic diagram illustrating a detailed request execution process according to an embodiment of this application, such as... Figure 4 As shown, during the request execution process, the user can first initiate a consultation request to the planning agent, i.e., an object interaction request. The corresponding planning agent can obtain the solution premise as the target execution solution of the interaction from the decision agent, and start the interaction task through the interaction tool. Using the example reasoning agent, i.e. the interaction example generation model, the corresponding interaction example is generated.

[0086] After receiving the interaction example generated by the example generation agent, the planning agent can use the interaction tool to start recording the interaction actions generated throughout the interaction process, and use preset work intelligence to track and store these actions. Correspondingly, the planning agent can parse and assemble interaction cards based on the interaction example, and then send the interaction cards to the user, receiving the interaction materials filled in by the user. Upon receiving the interaction materials, it indicates that the user's current interaction action is complete. The execution system can store this action in a work order, and use the review agent through the interaction tool to review the interaction materials, obtaining the material review result, and then making a decision on the object interaction request based on the material review result. If the review is successful, the planning agent can execute the object interaction request based on the material review result; if the review fails, a manual review can be initiated, and the material review result can be updated before the agent executes the object interaction request based on the material review result. The interaction actions that can be stored in the preset work order can also include actions such as the start and completion of the review by the review agent, the start and completion of the manual review, and can also be used to store the intelligent review result output by the review agent and the manual review result output by the manual review. The corresponding execution plan can call back these two types of review results in the work order. Furthermore, different intelligent agents can communicate with each other through an intelligent agent gateway.

[0087] In this application, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that this application is not limited to the described order of actions. This is because, according to this application, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in the specification are preferred embodiments, and the actions and modules involved are not necessarily essential to this application.

[0088] Through the above description of the embodiments, those skilled in the art can clearly understand that the methods according to the above embodiments can be implemented by means of software plus necessary general-purpose hardware platforms, or by hardware. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes several instructions to cause a terminal device (which may be a mobile phone, computer, server, or network device, etc.) to execute the methods of the various embodiments of this application.

[0089] According to an embodiment of this application, a request execution method is also provided. Figure 5 This is a flowchart illustrating another request execution method according to an embodiment of this application, such as... Figure 5 As shown, the method may include the following steps:

[0090] Step S502: In response to the input command applied to the operation interface, display the interaction task of the object interaction request on the operation interface.

[0091] The interaction task is obtained by parsing the object interaction request. The object interaction request is used to reflect the interaction needs generated during the interaction process of the target object. The interaction task is used to interact with the object interaction request based on the interaction needs.

[0092] Step S504: Respond to the processing instructions applied to the operation interface and display the execution result of the object interaction request on the operation interface.

[0093] The execution result is obtained by interacting with the material review object based on the material review result. The material review result is obtained by the material review model to review the interactive material. The interactive material is obtained through the interactive template. The interactive template is output through the task identifier of the interactive task. The interactive template is used to represent the carrier that carries the interactive material.

[0094] In one optional embodiment, upon detecting an input command applied to the user interface, the execution system can first display an interaction task for the object interaction request on the user interface. This interaction task then allows for interaction with the object interaction request based on the interaction requirements. The object interaction request can reflect the interaction requirements generated during the interaction with the target object, and the interaction task can be obtained by parsing the object interaction request.

[0095] Upon detecting a processing instruction applied to the user interface, the execution system can display the execution result of the object interaction request on the user interface. The execution result can be obtained by executing the object interaction request based on the material review result. The material review result can be obtained by reviewing the interactive materials using a material review model. The interactive materials are obtained through an interaction template, which is output through the task identifier of the interaction task. The interaction template is used to represent the carrier of the interactive materials.

[0096] According to an embodiment of this application, a request execution apparatus for implementing the above-described request execution method is also provided. Figure 6 This is a structural block diagram of a request execution device according to an embodiment of this application, such as... Figure 6 As shown, the device includes: a task construction module 602, a material receiving module 604, a material review module 606, and a request execution module 608.

[0097] The task construction module 602 is used to respond to a received object interaction request, parse the object interaction request, and construct an interaction task for the object interaction request. The object interaction request reflects the interaction needs generated during the interaction with the target object, and the interaction task is used to interact with the object interaction request based on the interaction needs. The material receiving module 604 is used to output an interaction template based on the task identifier of the interaction task and receive the interaction material corresponding to the interaction template. The interaction template is used to represent the carrier of the interaction material. The material review module 606 is used to input the interaction material into the material review model, review the interaction material using the material review model, and obtain the material review result. The request execution module 608 is used to execute the object interaction request based on the material review result.

[0098] The task construction module 602, material receiving module 604, material review module 606, and request execution module 608 described above correspond to steps S202 to S208 in the above embodiments. The four modules and their corresponding steps implement the same instances and application scenarios, but are not limited to the content disclosed in the above embodiments. The modules or units described above may be hardware or software components stored in memory and processed by one or more processors. These modules may also be part of a device and may run on the server 10 provided in the above embodiments.

[0099] In this embodiment, the task construction module is further configured to: obtain historical interaction data corresponding to the object interaction request, wherein the historical interaction data is used to characterize the interaction data generated during the interaction with the target object; based on the object interaction request and the historical interaction data, obtain at least one request execution scheme corresponding to the object interaction request, wherein the at least one request execution scheme is used to characterize the interaction scheme used during the execution of the object interaction request; based on the scheme type of the at least one request execution scheme, filter the at least one request execution scheme to obtain a target execution scheme; and construct an interaction task based on the target execution scheme.

[0100] In this embodiment of the application, the task construction module is further configured to: extract features from historical interaction data and object interaction requests respectively to obtain interaction data features and interaction request features; construct request execution conditions for object interaction requests based on interaction data features and interaction request features; match the request execution conditions with the execution conditions of multiple execution schemes in the execution scheme list respectively to obtain condition matching results; and filter multiple execution schemes based on the condition matching results to obtain at least one request execution scheme.

[0101] In this embodiment of the application, the task construction module is further configured to: input the scheme parameters of the target execution scheme into the interaction example generation model, generate an interaction example corresponding to the object interaction request using the interaction example generation model, wherein the interaction example is used to indicate the execution process of the interaction task; obtain multiple interaction tools matching the interaction example from the tool library based on the example features of the interaction example, wherein the multiple interaction tools are used to characterize the tools used in the execution process of the interaction task; and construct the interaction task based on the interaction example and the multiple interaction tools.

[0102] In this embodiment of the application, the material receiving module is further configured to: identify the historical interaction data corresponding to the object interaction request and obtain the data identification result, wherein the data identification result is used to characterize whether other interaction templates have been used during the interaction with the target object; determine the template type of the template to be constructed based on the data identification result; construct the interaction template based on the interaction examples and template types included in the interaction task; and send the interaction template using the interaction tools included in the interaction task based on the task identifier of the interaction task.

[0103] In this embodiment, the apparatus further includes: an evaluation module for evaluating the confidence level of the material review results and obtaining a confidence score; a screening module for screening interactive materials based on the material review results to obtain target materials in response to a confidence score less than a preset threshold, wherein the target materials are used to characterize materials with abnormalities in the interactive materials; an review module for outputting the target materials and receiving the target review results corresponding to the target materials; and an update module for updating the material review results based on the target review results and determining the updated material review results as the new material review results.

[0104] In this embodiment of the application, the above-mentioned device further includes: a construction module, used to construct an action storage area for the interaction task based on the task identifier of the interaction task, wherein the action storage area is used to store the interaction actions generated during the execution of the interaction task; a parsing module, used to parse the tool usage data of any interaction tool in the interaction task to obtain the interaction action corresponding to the interaction tool; and a storage module, used to store the interaction actions to the action storage area.

[0105] According to an embodiment of this application, another request execution apparatus for implementing the above-described request execution method is also provided. Figure 7 This is a structural block diagram of another request execution device according to an embodiment of this application, such as... Figure 7 As shown, the device includes: a first display module 702 and a second display module 704.

[0106] The first display module 702 is used to respond to input commands applied to the operation interface and display the interaction task of the object interaction request on the operation interface. The interaction task is obtained by parsing the object interaction request, which reflects the interaction needs generated during the interaction process of the target object. The interaction task is used to interact with the object interaction request based on the interaction needs. The second display module 704 is used to respond to processing commands applied to the operation interface and display the execution result of the object interaction request on the operation interface. The execution result is obtained by executing the object interaction request based on the material review result. The material review result is obtained by reviewing the interactive materials by the material review model. The interactive materials are obtained through the interaction template. The interaction template is output through the task identifier of the interaction task. The interaction template is used to represent the carrier carrying the interactive materials.

[0107] The first display module 702 and the second display module 704 described above correspond to steps S502 to S504 in the above embodiments. The two modules and their corresponding steps implement the same instances and application scenarios, but are not limited to the content disclosed in the above embodiments. The modules or units described above may be hardware or software components stored in memory and processed by one or more processors. The modules may also be part of a device and may run in the server 10 provided in the above embodiments.

[0108] The preferred embodiments involved in the above embodiments of this application are the same as the solutions, application scenarios and implementation processes provided in the above embodiments, and will not be repeated here.

[0109] Embodiments of this application may provide a computing device. Figure 8 This is a structural block diagram of a computing device according to an embodiment of this application. Figure 8 As shown, the computing device 800 may include: one or more (one shown in the figure) processors 802, memory 804, memory controller, and peripheral interfaces.

[0110] The aforementioned computing device can be understood as an integrated intelligent terminal, including but not limited to servers, desktop computers, PCs (Personal Computers), and all-in-one model machines. Furthermore, the computing device may have the model described in the above embodiments of this application pre-installed.

[0111] Specifically, this computing device can pre-install various types of models, including but not limited to models in fields such as natural language processing, visual processing, speech processing, code processing, and multimodal task processing, thus providing diverse model choices. In different product forms, this computing device can support one or more model usage methods, including but not limited to model training, model invocation, model fine-tuning, model deployment, model inference, and application. In some product forms, this computing device also supports model management, including but not limited to multi-type model management (supporting the management of discriminative, generative, and other model types), model version control (supporting the control of different model versions), and model evaluation (evaluating model performance and effectiveness based on model evaluation tools). In other product forms, this computing device can also create applications based on models, providing API calling capabilities. Models can be called into created applications through API interfaces, and application management tools are provided to control and manage applications.

[0112] Furthermore, this computing device can also include data management (supporting the creation and management of model tuning datasets), a training center (providing abundant training resources to help users learn and master AI technologies), and basic control capabilities (providing enterprise-level basic control capabilities to ensure system security and efficient operation). Through these functions, it provides a comprehensive, integrated device for AI development, training, deployment, and application.

[0113] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the methods and apparatus in the embodiments of this application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby implementing the methods in the above embodiments. The memory may include high-speed random access memory (RAM) and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to terminal A via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks (LANs), mobile communication networks, and combinations thereof.

[0114] The processor can invoke an executable program stored in memory via a transmission device to execute any of the methods described in the above embodiments.

[0115] Embodiments of this application may provide an electronic device. Figure 9 This is a structural block diagram of an electronic device according to an embodiment of this application. Figure 9 As shown, the electronic device may include: an input / output device 902; a memory 904; and a processor 906, wherein the processor 906 is connected to the input / output device 902 and the memory 904 via a bus 909.

[0116] The memory can be used to store software programs and modules, such as the program instructions / modules corresponding to the methods and apparatus in the embodiments of this application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory, thereby implementing the methods in the above embodiments. The memory may include high-speed random access memory (RAM) and non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memories. In some instances, the memory may further include memory remotely located relative to the processor, and these remote memories can be connected to terminal A via a network. Examples of such networks include, but are not limited to, the Internet, corporate intranets, local area networks (LANs), mobile communication networks, and combinations thereof.

[0117] The processor can invoke an executable program stored in memory via a transmission device to execute any of the methods described in the above embodiments.

[0118] Those skilled in the art will understand that, Figure 9 The structure shown is schematic. Electronic devices can also be smartphones (such as Android phones, iOS phones, etc.), tablets, PDAs, mobile internet devices (MIDs), PADs, and other terminal devices. This diagram does not limit the structure of the aforementioned electronic devices. For example, electronic devices may include more or fewer components (such as network interfaces, display devices, etc.) than shown in the diagram, or have different configurations than those shown.

[0119] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be implemented by a program instructing the hardware related to the terminal device. The program can be stored in a computer-readable storage medium, which may include: a flash drive, read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk, etc.

[0120] Embodiments of this application also provide a computer-readable storage medium. Optionally, in this embodiment, the aforementioned computer-readable storage medium can be used to store program code executed by the method provided in the above embodiments.

[0121] Optionally, in this embodiment, the storage medium may be located in a computing device or an electronic device.

[0122] Optionally, in this embodiment, the computer-readable storage medium is configured to store an executable program. When the executable program runs, it controls the device where the computer-readable storage medium is located to perform any of the methods described in the above embodiments.

[0123] Embodiments of this application also provide a computer program product. Optionally, in this embodiment, the computer program product may include a computer program. When executed by a processor, the computer program implements the methods provided in the above embodiments.

[0124] Embodiments of this application also provide a computer program product. Optionally, the computer program product may include a non-volatile computer-readable storage medium. The non-volatile computer-readable storage medium can be used to store a computer program. When the computer program is executed by a processor, it implements the method provided in the above embodiments.

[0125] Embodiments of this application also provide a computer program. Optionally, in this embodiment, when the computer program is executed by a processor, it implements the method provided in the above embodiments.

[0126] In the above embodiments of this application, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0127] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. The device embodiments described above are illustrative; for example, the division of units is a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined, integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling, direct coupling, or communication connection shown or discussed may be through some interfaces, indirect coupling of units or modules, or communication connection, and may be electrical or other forms.

[0128] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected according to actual needs to achieve the purpose of this embodiment.

[0129] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0130] If the integrated unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this application, in essence, or the part that contributes to the prior art, or all or part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods in the various embodiments of this application. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, read-only memory (ROM), random access memory (RAM), portable hard drive, magnetic disk, or optical disk.

[0131] The above are preferred embodiments of this application. For those skilled in the art, various improvements and modifications can be made without departing from the principles of this application, and these improvements and modifications should also be considered within the scope of protection of this application.

Claims

1. A request execution method, characterized in that, include: In response to receiving an object interaction request, the object interaction request is parsed, and an interaction task for the object interaction request is constructed. The object interaction request is used to reflect the interaction requirements generated during the interaction with the target object, and the interaction task is used to interact with the object interaction request based on the interaction requirements. Based on the task identifier of the interactive task, an interactive template is output, and the interactive material corresponding to the interactive template is received, wherein the interactive template is used to characterize the carrier carrying the interactive material; The interactive materials are input into the material review model, and the interactive materials are reviewed using the material review model to obtain the material review result; The object interaction request is executed based on the material review results.

2. The method according to claim 1, characterized in that, The step of parsing the object interaction request and constructing the interaction task for the object interaction request includes: Obtain historical interaction data corresponding to the object interaction request, wherein the historical interaction data is used to characterize the interaction data generated during the interaction with the target object; Based on the object interaction request and the historical interaction data, at least one request execution scheme corresponding to the object interaction request is obtained, wherein the at least one request execution scheme is used to characterize the interaction scheme used in the process of executing the object interaction request; Based on the scheme type of the at least one request execution scheme, the at least one request execution scheme is filtered to obtain the target execution scheme; The interactive task is constructed based on the target execution scheme.

3. The method according to claim 2, characterized in that, The step of obtaining at least one request execution scheme corresponding to the object interaction request based on the object interaction request and the historical interaction data includes: Feature extraction is performed on the historical interaction data and the object interaction request respectively to obtain interaction data features and interaction request features; Based on the interaction data features and the interaction request features, construct the request execution conditions for the object interaction request; The request execution conditions are matched with the execution conditions of multiple execution schemes in the execution scheme list to obtain the condition matching results; Based on the condition matching results, the multiple execution schemes are filtered to obtain at least one request execution scheme.

4. The method according to claim 2, characterized in that, The construction of the interactive task based on the target execution scheme includes: The scheme parameters of the target execution scheme are input into the interaction example generation model, and the interaction example generation model is used to generate the interaction example corresponding to the object interaction request, wherein the interaction example is used to indicate the execution process of the interaction task; Based on the example features of the interaction example, multiple interaction tools matching the interaction example are obtained from the tool library, wherein the multiple interaction tools are used to characterize the tools used in the execution of the interaction task; The interactive task is constructed based on the interactive example and the multiple interactive tools.

5. The method according to claim 1, characterized in that, The task identifier output interaction template based on the interaction task includes: The historical interaction data corresponding to the object interaction request is identified to obtain a data identification result, wherein the data identification result is used to characterize whether other interaction templates have been used during the interaction with the target object; Based on the data identification results, the template type to be constructed is determined; Based on the interaction examples included in the interaction task and the template type, construct the interaction template; Based on the task identifier of the interactive task, the interactive template is sent using the interactive tools included in the interactive task.

6. The method according to claim 1, characterized in that, Before executing the object interaction request based on the material review result, the method further includes: The confidence level of the material review results is assessed to obtain a confidence score; In response to the confidence score being less than a preset threshold, the interactive materials are screened based on the material review results to obtain target materials, wherein the target materials are used to characterize materials in the interactive materials that are abnormal; Output the target material and receive the target review result corresponding to the target material; The material review result is updated based on the target review result, and the updated material review result is determined as the new material review result.

7. The method according to claim 1, characterized in that, After parsing the object interaction request and constructing the interaction task for the object interaction request, the method further includes: Based on the task identifier of the interactive task, an action storage area for the interactive task is constructed, wherein the action storage area is used to store the interactive actions generated during the execution of the interactive task; If tool usage data of any interactive tool in the interactive task is detected, the tool usage data is parsed to obtain the interactive action corresponding to the interactive tool; The interactive action is stored in the action storage area.

8. A request execution method, characterized in that, include: In response to an input command applied to the operation interface, an interaction task for an object interaction request is displayed on the operation interface. The interaction task is obtained by parsing the object interaction request. The object interaction request is used to reflect the interaction needs generated during the interaction of the target object. The interaction task is used to interact with the object interaction request based on the interaction needs. In response to the processing instructions applied to the operation interface, the execution result of the object interaction request is displayed on the operation interface. The execution result is obtained by executing the object interaction request based on the material review result. The material review result is obtained by reviewing the interactive material by the material review model. The interactive material is obtained through the interactive template. The interactive template is output through the task identifier of the interactive task. The interactive template is used to characterize the carrier that carries the interactive material.

9. An electronic device, characterized in that, include: Memory, which stores executable programs; A processor, connected to a memory via a bus, is used to run the program, wherein the program, when running, performs the method according to any one of claims 1 to 8.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored executable program, wherein, when the executable program is executed, it controls the device on which the computer-readable storage medium is located to perform the method according to any one of claims 1 to 8.

11. A computer program product, characterized in that, Includes a computer program that, when executed by a processor, implements the method described in any one of claims 1 to 8.

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