Smart television control method and device, smart television and storage medium

Abstract

The invention relates to a smart television control method and device, a smart television and a storage medium, and the method comprises the steps: carrying out the analysis of behavior information based on a preset behavior demand matching model, and determining the service demand of a target user; under the condition that the service demand is a shopping demand, pushing a commodity set matched with the shopping demand to the target user; the commodity information of the target commodity and the shopping demand of the target user are pushed to the relative user, so that the relative user performs payment operation on the target commodity; and generating a corresponding timing service program based on the commodity information of the target commodity, and synchronously pushing the timing service program to the target user and the relatives. According to the technical scheme, the shopping demand of the target user can be accurately recognized, the matched commodity set can be pushed to the target user, meanwhile, the defects of an existing AI television are effectively overcome in the mode of binding payment with relatives, the actual demand of the target user is better met, and the user experience is improved.

Description

Technical Field

[0001] This application relates to the field of television control technology, and in particular to a control method, device, smart television, and storage medium for a smart television. Background Technology

[0002] With rapid socio-economic development, the aging population is becoming increasingly serious. In ordinary families, only the elderly are often left behind, leading to a growing sense of loneliness among them. Because the elderly generally have low levels of education and are not adept at using smartphones, communication with their children becomes inconvenient. Therefore, the development of smart AI TVs for the elderly is particularly urgent. These TVs can not only engage in daily communication with the elderly, alleviating their loneliness, but also perform corresponding operations by recognizing voice commands when the elderly require specific functions.

[0003] However, current AI TVs on the market can only perform basic command interactions, which falls short of the actual needs of the elderly. For example, the elderly may have shopping needs, but existing AI TVs cannot accurately identify and provide suitable product selections, nor can they solve payment inconveniences. Furthermore, the elderly may lack guidance when using certain products, easily leading to improper use. In terms of service timing and personalization, existing AI TVs also struggle to meet the actual needs of the elderly, such as failing to reasonably schedule product usage time and reminders based on their daily routines and pre-set constraints by relatives.

[0004] Therefore, there is an urgent need to develop a control method, device, smart TV, and storage medium for smart TVs to solve one or more of the aforementioned problems. Summary of the Invention

[0005] In view of this, to solve the aforementioned technical problems or some of them, embodiments of the present invention provide a control method, device, smart TV, and storage medium for a smart TV. This method can accurately identify the shopping needs of target users (such as the elderly), push matching product sets to them, and solve payment problems by having relatives complete the payment process, thus facilitating shopping for the target user. Simultaneously, it generates a scheduled service program based on the information of the target products and the personalized adaptation parameters of the target user, meeting the target user's needs for service timing and personalization, and providing more considerate and comprehensive services. Furthermore, for non-repurchased products, it pushes usage instructions and risk warnings to relatives, and after confirmation, generates usage guidance for the target user to avoid problems caused by improper use. This effectively solves the problem of a large gap between existing AI TVs and the actual needs of the elderly, improves the practicality and service quality of smart TVs, and better meets the actual living needs of target users, especially the elderly. In a first aspect, this application provides a method for controlling a smart TV, the method comprising: Obtain behavioral information of target users, wherein the target users are users who have completed the pre-entry of identity information and kinship information on smart TVs; Based on a preset behavior demand matching model, the behavior information is analyzed to determine the service needs of the target user; If the service request is a shopping request, a set of products matching the shopping request will be pushed to the target user; When it is detected that a target user has selected a target product from the product set, the product information of the target product and the target user's shopping needs are pushed to a relative user so that the relative user can perform a payment operation on the target product. The relative user is a user who is bound to the target user by kinship. When payment for the target product is detected, a corresponding scheduled service program is generated based on the product information of the target product, and the scheduled service program is simultaneously pushed to the target user and their relatives.

[0006] In one possible implementation, pushing the product information of the target product and the shopping needs of the target user to a relative user, so that the relative user can perform a payment operation for the target product, includes: Retrieve the target user's historical shopping records, and determine whether the target product is a product that the target user has purchased in the past based on the historical shopping records; If the target product is a previously purchased product, a push notification for previously purchased products will be executed to enable the relative user to confirm the repurchase or select a new product for payment. If the target product is not a previously purchased product, a product reselection push operation is performed so that the relative user can perform the payment operation for the reselected product.

[0007] In one possible implementation, the step of performing the historical product linkage push operation includes: Obtain historical purchase information for the target product, and combine the historical purchase information, the product information of the target product, and the shopping needs of the target user into current purchase information; The current purchase information is pushed to relatives so that they can choose whether to repurchase the target product. When a relative user confirms a repeat purchase of the target product, the product order for the target product is pushed to the relative user. When it is detected that a relative user has confirmed that they will not repurchase the target product, the product information of the target product and the target user's shopping needs are merged into the current purchase information; The current purchase information is pushed to the relative user so that the relative user can reselect the target product from the product set; When it is detected that a relative user has completed the reselection of the target product, the order for the reselected target product will be pushed to the relative user.

[0008] In one possible implementation, the step of performing the product reselection push operation includes: The product information of the target product and the shopping needs of the target user are combined into the current purchase information; The current purchase information is pushed to the relative user so that the relative user can reselect the target product from the product set; When it is detected that a relative user has completed the reselection of the target product, the order for the reselected target product will be pushed to the relative user.

[0009] In one possible implementation, when the service request is a shopping request, pushing a set of products matching the shopping request to the target user includes: If the service requirement is a shopping requirement, obtain the product characteristics corresponding to the shopping requirement; Based on the product characteristics, the corresponding product source is retrieved from the preset multi-platform product data source; The product sources are screened according to preset qualification rules, and products that do not meet the preset qualification rules are removed; Obtain the target user's historical shopping information; Based on the historical shopping information, the products included in the filtered product source are sorted to obtain a product set which is then pushed to the target user.

[0010] In one possible implementation, the product information includes at least the product type, usage cycle, usage frequency, and usage duration; The generation of a corresponding timed service program based on the product information of the target product includes: Obtain personalized adaptation parameters for the target user, including the user's daily routine and preset usage constraints by relatives; Based on the product information and personalized adaptation parameters of the target product, a timed service rule is generated, which includes basic timed triggering rules, anomaly warning rules, and multi-terminal synchronization rules. The smart TV's service program generation engine is invoked to generate the corresponding timed service program using the aforementioned timed service rules.

[0011] In one possible implementation, the method further includes: When it is detected that the target product for which payment has been completed is a non-repurchase product, the user manual and risk disclosure of the target product are obtained; The user manual and risk disclosure of the target product are pushed to the relatives so that the relatives can confirm the user manual and risk disclosure. When the confirmation from a relative user is confirmed, a usage guide is generated based on the user manual and risk disclosure of the target product, and the usage guide is presented to the target user in a combination of voice and text.

[0012] Secondly, this application provides a control device for a smart TV, the device comprising: The acquisition module is used to acquire the behavioral information of the target user, who is a user who has completed the pre-entry of identity information and kinship information in the smart TV; The parsing module is used to parse the behavioral information based on a preset behavioral demand matching model to determine the service needs of the target user. The first push module is used to push a set of products that match the shopping demand to the target user when the service demand is a shopping demand. The second push module is used to push the product information of the target product and the shopping needs of the target user to the relative user when the target user selects the target product from the product set, so that the relative user can perform the payment operation on the target product. The relative user is a user who is bound to the target user by kinship. The service module is used to generate a corresponding scheduled service program based on the product information of the target product when the payment for the target product is detected, and to push the scheduled service program to the target user and his / her relatives simultaneously.

[0013] Thirdly, this application provides a smart TV, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the steps of the control method for the smart TV described in any embodiment of the first aspect.

[0014] Fourthly, this application also provides a computer storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the control method for a smart TV as described in any embodiment of the first aspect.

[0015] Compared with the prior art, the technical solution provided in this application has the following advantages: The method provided in this application can accurately identify the shopping needs of target users (such as the elderly) and push matching product sets to them. At the same time, by binding payment with relatives, it solves the problem of inconvenient payment for target users. After the target product is paid for, a scheduled service program can be generated based on the product information and the target user's personalized adaptation parameters to meet the target user's actual life needs in terms of service timing and personalization. It effectively makes up for the shortcomings of existing AI TVs, better meets the actual needs of target users, and improves the user experience. Attached Figure Description

[0016] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with the invention and, together with the description, serve to explain the principles of the invention.

[0017] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, for those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0018] One or more embodiments are illustrated by way of example with reference numerals in the accompanying drawings. These illustrations do not constitute a limitation on the embodiments. Elements with the same reference numerals in the drawings are denoted as similar elements. Unless otherwise stated, the figures in the drawings are not to be limited by scale.

[0019] Figure 1 A flowchart illustrating a control method for a smart TV provided in an embodiment of this application; Figure 2 A flowchart illustrating a payment method for family members provided in this application embodiment; Figure 3 A flowchart illustrating a historical product linkage push operation provided in an embodiment of this application; Figure 4 A flowchart illustrating a product reselection and push operation provided in an embodiment of this application; Figure 5 A flowchart illustrating a method for generating a timed service program provided in an embodiment of this application; Figure 6 This is a schematic diagram illustrating the steps of a smart TV control method provided in an embodiment of this application; Figure 7 This is a schematic diagram of the structure of a control device for a smart TV provided in an embodiment of this application; Figure 8This is a schematic diagram of the structure of a smart TV provided in an embodiment of this application. Detailed Implementation

[0020] To make the objectives, technical solutions, and advantages of the embodiments of this application clearer, the technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0021] The following disclosure provides numerous different embodiments or examples for implementing various structures of the invention. To simplify the disclosure, specific examples of components and arrangements are described below. These are merely examples and are not intended to limit the scope of the invention. Furthermore, reference numerals and / or letters may be repeated in different examples. Such repetition is for simplification and clarity and does not in itself indicate a relationship between the various embodiments and / or arrangements discussed.

[0022] With rapid socio-economic development, the aging population is becoming increasingly serious. The post-70s and post-80s generations are bearing greater family pressures and are forced to leave home to work. Except for holidays like Chinese New Year, most families are left with only the elderly, leading to increasing loneliness and negatively impacting their physical and mental health. This is because many elderly people have limited education and are unfamiliar with smartphones, making communication with their children difficult. While economic development has brought people a better material life, the physical and mental health of the elderly remains a crucial area requiring attention.

[0023] With a smart AI-powered TV for seniors, not only can daily communication be conducted to alleviate loneliness, but it can also recognize and execute corresponding instructions based on the senior's voice commands when needed. For example, if a senior needs to buy medicine, the TV can help them search various websites and find the corresponding medicine, automatically identifying reputable merchants and recommending them via voice. After the senior confirms, the TV can assist with placing the order, making payment, and entering the address.

[0024] To address the significant gap between existing AI TVs and the actual needs of the elderly, including the inability to accurately identify and provide suitable product selections when faced with shopping needs, the inconvenience of payment, and the potential lack of guidance for subsequent use of certain products leading to misuse, this application provides a control method, device, smart TV, and storage medium for a smart TV. This system can accurately identify the shopping needs of target users, push matching product sets, solve payment difficulties, generate scheduled service programs, and provide usage guidance for non-repurchased products. It comprehensively meets the actual living needs of target users, especially the elderly, improves the accuracy of analyzing target user behavior information, and thus more accurately determines service needs.

[0025] Figure 1 A flowchart illustrating a control method for a smart TV provided in an embodiment of this application is shown below. Figure 1 As shown, the method specifically includes: S101. Obtain the behavioral information of the target user, wherein the target user is a user who has completed the pre-entry of identity information and kinship information in a smart TV; Behavioral information refers to the various operational behaviors, voice commands, and action commands of the target user on the smart TV. Behavioral information can reflect the target user's current state and potential needs.

[0026] The target users are specific users who have completed the pre-entry of identity feature information and kinship relationship information in the identity authentication module of the smart TV and passed the permission verification; wherein, the identity feature information includes at least the user's ID card number, facial biometric features, and mobile phone number, and the kinship relationship information includes kinship identity information, kinship mobile terminal binding information, and kinship collaborative operation permission scope, etc.

[0027] Smart TVs can collect user behavior information through a multi-dimensional information collection module, ensuring the comprehensiveness and accuracy of the information. This module consists of an integrated audio / video acquisition unit with voice recognition, an operation sensing unit, and a historical service call record statistics unit. The collected behavior information specifically covers the target user's voice interaction commands, smart TV operation trajectory information, historical service function call frequency and preference information, and device usage time periods related to daily routines. All behavior information is encrypted during transmission and stored in the smart TV's privacy-protected database, ensuring user data security.

[0028] S102. Based on a preset behavior demand matching model, the behavior information is analyzed to determine the service needs of the target user.

[0029] The behavioral demand matching model uses such voice commands, combined with the target user's historical behavioral information, such as past search records and purchase records, to accurately determine the target user's specific service needs.

[0030] In this embodiment, the preset behavior demand matching model is trained based on a large amount of user behavior data and service demand data, which can accurately analyze the behavior information of target users and uncover the service demands hidden within it.

[0031] For example, the behavioral demand matching model has a built-in semantic completion module, a demand priority ranking module, and a scenario classification module. During the parsing process, the semantic completion module first performs semantic completion and feature extraction on the target user's ambiguous voice commands and fragmented operation trajectories to obtain a standardized behavioral feature vector. Then, this feature vector is input into the demand priority ranking module, which combines the target user's historical service call frequency and demand urgency to complete the demand priority labeling. Finally, the scenario classification module matches the labeled behavioral feature vector with preset service demand tags (covering communication, shopping, health management, etc.) to ultimately determine the target user's specific service demand and output the scenario adaptation solution corresponding to the demand.

[0032] For example, if a target user issues a voice command related to a certain type of product, such as "Learn about XX product", it indicates that the target user may have a need to learn about this type of product, which may further translate into a need for daily shopping.

[0033] For example, if a target user issues a voice command such as "open a health and wellness program," it indicates that the target user may have a need to acquire health and wellness knowledge. In this case, it is determined to be a health management need. At this point, various factors will be comprehensively considered, and the target user's behavioral information will be carefully analyzed to determine the type and specific content of their service needs. This will improve the accuracy of judging the target user's service needs and provide a more accurate basis for subsequent service recommendations.

[0034] S103. If the service request is a shopping request, push the set of products that match the shopping request to the target user.

[0035] In this embodiment, after analyzing the service demand as a shopping demand, products are filtered and sorted according to a specific process, and a set of products matching the shopping demand is obtained and pushed to the target user.

[0036] If the user's demand is analyzed as "purchase XX product", the smart TV will retrieve relevant product sources from a preset multi-platform product data source based on the product characteristics corresponding to this demand. Then, it will strictly screen these product sources according to preset qualification rules, and remove products that do not meet the rules. At the same time, it will obtain the target user's historical shopping information, sort the filtered products based on this information, and finally push the sorted product set to the target user, ensuring that the products pushed to the user not only meet their needs but also have a certain degree of quality assurance and relevance.

[0037] S104. When it is detected that the target user selects a target product from the product set, the product information of the target product and the target user's shopping needs are pushed to the relative user so that the relative user can perform a payment operation on the target product. The relative user is a user who is bound to the target user by kinship.

[0038] Smart TVs add a family association function to the existing TVs. For target users, especially the elderly, the addition of family association information can closely connect the target user with relatives, solving the problem of inconvenience for elderly users to make payments when using smart TVs. When the target user selects a target product, the smart TV will promptly push product information and shopping needs to the relatives. After receiving the information, the relatives can perform payment operations for the target product according to the actual situation.

[0039] In this embodiment, after the smart TV's product selection monitoring module detects that the target user has selected a target product from the pushed product set through voice confirmation, gesture command, or preset simple operation, it first retrieves the complete product information of the target product (including at least product type, usage cycle, usage frequency, usage duration, merchant qualification information, compliance audit certificate, and user reputation data), and then integrates the target user's shopping needs details (including the demand triggering scenario, product function adaptation requirements, and expected delivery time) to generate a standardized shopping confirmation data package. Then, through the smart TV's family linkage communication module, the shopping confirmation data package is pushed to the mobile terminal of a relative user who is pre-bound to the target user, along with a pre-generated order link and a voice description of the needs. The relative user can view the shopping confirmation data package on the mobile terminal to verify the matching degree between the product information and the target user's needs. If the verification is successful, the relative user can perform an online payment operation for the target product through the pre-generated order link. If the verification fails, a product reselection command can be initiated, and a new set of adapted products can be pushed for the relative user or the target user to select again.

[0040] Furthermore, linking family members with target users through kinship can promote interaction and communication among family members, enabling family members to better understand the needs and preferences of target users when participating in their shopping.

[0041] For example, when the target users are elderly people and their relatives are their children, the children can understand the elderly's recent needs when paying for their orders, thus providing more care and attention and reducing the elderly users' loneliness.

[0042] Furthermore, smart TVs can also set certain management permissions for relatives to control the shopping behavior of the target user; for example, relatives can set a shopping limit or restrict the purchase of certain products based on the actual situation of the target user, which can not only meet the shopping needs of the target user, but also avoid unnecessary consumption and potential risks.

[0043] S105. When the payment for the target product is detected to be completed, a corresponding scheduled service program is generated based on the product information of the target product, and the scheduled service program is synchronously pushed to the target user and his / her relatives.

[0044] In this embodiment, after payment for the target product is completed, the smart TV will use its built-in algorithm model to generate a scientific and reasonable timed service program based on the product's detailed information, such as usage cycle, usage frequency, and usage duration.

[0045] For example, if the target product is a health supplement, the scheduled service program may set reminders for the target user to take it on time based on the supplement's usage cycle and frequency; if the target product is a cleaning product that needs to be used regularly, the scheduled service program will remind the target user when to perform the cleaning operation.

[0046] For example, in a smart TV, the order status monitoring module connects to the e-commerce platform's payment interface in real time. When it detects that the order corresponding to the target product has completed payment and the order status is synchronized to "paid", it retrieves the complete product information of the target product from the product information database (including at least the product type, usage cycle, usage frequency, usage duration, and safe usage guidelines). Then, it calls the target user's personalized adaptation parameters (including the user's daily routine and preset usage constraints for relatives) from the user profile data storage module. Based on the preset service rule generation engine, it integrates the product information and personalized adaptation parameters to generate a customized timed service program that includes basic timed triggering rules, anomaly warning rules, and multi-terminal synchronization rules.

[0047] The basic timed triggering rules match product usage requirements with user schedules, the abnormal warning rules set warning thresholds for overdue / excessive product use, and the multi-terminal synchronization rules specify the display format of timed reminders on different terminals. Then, through the multi-terminal communication module of the smart TV, the timed service program is synchronously pushed to the target user's smart TV terminal and the mobile terminal of the relatives' users. At the same time, the program's local triggering permission is enabled on the target user's terminal, and the program status viewing and rule modification permission is enabled on the relatives' terminals, ensuring that relatives can remotely monitor the target user's use of the product.

[0048] The smart TV control method provided in this application can accurately identify the shopping needs of target users, push matching product sets, solve payment problems with the help of family association functions, and generate scheduled service programs based on product information and push them synchronously. It comprehensively meets the actual life needs of target users, especially the elderly. It not only solves the operation and payment difficulties that the elderly may encounter when using smart devices, but also helps the elderly use products correctly by generating scheduled service programs, thereby improving the efficiency and security of product use. In addition, by setting management permissions for family members to manage the shopping behavior of target users, unnecessary consumption and potential risks are avoided, and interaction and communication among family members are promoted.

[0049] Figure 2 This is a flowchart illustrating a payment method for family members provided in an embodiment of this application, as shown below. Figure 2 As shown, the step of pushing the product information of the target product and the shopping needs of the target user to the relative user, so that the relative user can perform a payment operation on the target product, includes: S201. Retrieve the target user's historical shopping records, and determine whether the target product is a product purchased by the target user in the past based on the historical shopping records.

[0050] In this embodiment, the smart TV retrieves the target user's historical shopping records from its stored database. These records include detailed information such as the types and brands of goods purchased by the target user in the past, the purchase time, and the frequency of purchase. By analyzing and comparing this information, the system determines whether the target product currently selected by the target user appears in the historical shopping records.

[0051] Specifically, if the target product has the same or similar product records in the historical shopping records, then the target product is determined to be a historical purchase product of the target user; conversely, if no matching record is found in the historical shopping records, then the target product is determined not to be a historical purchase product of the target user. This method of judgment can provide an important basis for subsequent services. For example, for products purchased in the past, more personalized services and suggestions can be provided based on users' past usage feedback and preferences; for products purchased in the past, the focus can be on product usage guidance and risk warnings.

[0052] S202. If the target product is a previously purchased product, perform a historical product push operation to enable the relative user to perform a repurchase confirmation or reselection payment operation.

[0053] In this embodiment, when the selected target product is determined to be a historically purchased product, the smart TV will integrate the historical purchase information of the target product, such as the last purchase time, usage feedback and evaluation, and past purchase price fluctuations, with the latest information of the current target product to generate a product repurchase analysis report. Then, through the family linkage communication module, the product repurchase analysis report, along with the current product information of the target product and the target user's shopping needs details, will be pushed to the family user's mobile terminal, so that the family user can perform a repurchase confirmation or reselection payment operation for the target product based on the pushed information.

[0054] S203. If the target product is not a previously purchased product, perform a product reselection push operation so that the relative user can perform the payment operation for the reselected product.

[0055] In this embodiment, when the target product is determined to be a non-historical purchase product, the smart TV will consider that the target user may not have sufficient knowledge of the product. In order to reduce the purchase risk and improve product compatibility, the smart TV will perform a product reselection and push operation.

[0056] The smart TV invokes a product evaluation module to comprehensively assess the target product. Evaluation dimensions include product quality rating, market reputation, cost-effectiveness, and relevance to the target user's needs. Simultaneously, it combines the target user's historical behavioral information and preferences to select a set of alternative products related to the target product and better meeting the target user's potential needs from pre-set multi-platform product data sources. A product reselection analysis report is then generated and pushed to the relative's mobile device via a family-linked communication module. This allows the relative to select products from the alternative set and execute payment based on the pushed information.

[0057] It should be noted that when the target product is not a previously purchased product, the smart TV generates a product reselection analysis report and pushes it to the relative user. This does not mean that the relative user must select other products from the product set that are not the target product. The relative user can also decide whether to directly perform the payment operation on the target product based on their own judgment and the actual situation of the target user.

[0058] The payment method for family members provided in this application can take different push operations based on whether the target product is a previously purchased product, providing family members with more comprehensive product information and choices, thereby more accurately meeting the shopping needs of the target users. For previously purchased products, the push operation linked to historical products allows family members to refer to historical purchase information to confirm repurchase or reselect products for payment, providing thoughtful service based on user feedback and preferences. For non-previously purchased products, the push operation for reselecting products reduces the purchase risk for the target users and improves product compatibility. This not only ensures the rationality and security of the purchase process but also gives family members a certain degree of autonomy in choosing products. Family members can flexibly decide which products to pay for based on the actual situation, promoting effective interaction and cooperation among family members in the shopping process.

[0059] Figure 3 This application provides a flowchart illustrating a historical product-linked push operation in an embodiment of the present application. Figure 3 As shown, the operation of linking historical products for push notifications includes: S301. Obtain the historical purchase information of the target product, and merge the historical purchase information, the product information of the target product, and the shopping needs of the target user into the current purchase information.

[0060] In this embodiment, historical purchase information of the target product is extracted from the database stored in the smart TV, covering details such as the last purchase time, quantity purchased, and user feedback. Then, the historical purchase information is integrated with the current product information of the target product (such as current price, inventory status, and the latest product features) and the target user's shopping needs details (including the demand triggering scenario, product function adaptation requirements, and expected delivery time) to form comprehensive current purchase information. This allows relatives to have a clearer understanding of the target product's past situation and current status, as well as the target user's specific needs, providing sufficient basis for the relatives' subsequent decision-making.

[0061] S302. Push the current purchase information to the relative user so that the relative user can choose whether to perform a repurchase operation on the target product.

[0062] In this embodiment, the smart TV pushes the integrated current purchase information to the mobile terminal of a relative user via a family member linkage communication module. The mobile terminal then displays a notification interface showing the detailed content of the current purchase information for the relative user's convenience. The relative user can intuitively see the target product's historical purchase history, current product information, and the target user's shopping needs on their mobile terminal. Based on this information, and considering factors such as the target product's cost-effectiveness, the target user's actual needs, and historical usage feedback, they can decide whether to repurchase the target product.

[0063] S303. When it is detected that a relative user has confirmed the repurchase of the target product, the product order of the target product is pushed to the relative user.

[0064] In this embodiment, the smart TV's order generation module quickly generates a product order based on the current product information and the target user's shopping needs. The smart TV then accurately pushes the generated order to the relative's mobile terminal via the family member communication module. At this point, the relative can clearly see the complete product order information on their mobile terminal, preparing for subsequent payment operations.

[0065] For example, an order includes details such as the name, specifications, quantity, price, delivery address, and expected delivery time of the goods.

[0066] S304. When it is detected that a relative user has confirmed that they will not repurchase the target product, the product information of the target product and the shopping needs of the target user are merged into the current purchase information.

[0067] S305. Push the current purchase information to the relative user so that the relative user can reselect the target product from the product set.

[0068] In this embodiment, if the smart TV detects that a relative user has confirmed they will not repurchase the target product, it will again integrate the target product's information (such as current price, inventory status, latest product features, etc.) with the target user's shopping needs details (including the triggering scenario of the need, product function adaptation requirements, expected delivery time, etc.) to form the current purchase information. Then, the smart TV will call the product filtering module, and combine the target user's historical behavior information, preferences, and current shopping needs to filter out a set of alternative products that are similar to the target product in terms of function and use from a preset multi-platform product data source, generating a product substitution analysis report. Through the relative linkage communication module, the product substitution analysis report, along with the set of alternative products and the current purchase information, will be pushed to the relative user's mobile terminal. The relative user can then select products from the set of alternative products and perform payment operations based on this information, or decide again whether to purchase the target product.

[0069] S306. When it is detected that a relative user has completed the reselection of the target product, the product order of the reselected target product will be pushed to the relative user.

[0070] In this embodiment, after a relative user completes the operation of reselecting the target product on the mobile terminal, the smart TV's order generation module will quickly generate a corresponding product order based on the current product information of the reselected target product and the target user's shopping needs details, and push it to the relative user.

[0071] The historical product push notification operation provided in this application embodiment can fully utilize the historical purchase information of the target product to provide family users with a more comprehensive decision-making basis. When a family user decides to repurchase, a product order can be quickly generated and pushed to facilitate payment. When a family user decides not to repurchase, an alternative product set can be promptly selected for them to choose from again, further meeting the shopping needs of the target user and fully considering the target user's historical purchasing habits and actual needs. At the same time, it gives family users full choice, making the shopping process more flexible and user-friendly. Furthermore, through the historical product push notification operation, not only is the accuracy and satisfaction of the target user's shopping improved, but the collaboration and communication among family members in the shopping process are also strengthened, promoting a closer connection of family relationships in the smart TV shopping scenario, and providing a more complete solution for the application of smart TVs in the field of home shopping.

[0072] Figure 4 This is a flowchart illustrating a product reselection and push operation provided in an embodiment of this application, such as... Figure 4 As shown, the step of performing the product reselection and push operation includes: S401. Combine the product information of the target product and the shopping needs of the target user into the current purchase information.

[0073] In this embodiment, the smart TV integrates the current product information of the target product with the shopping needs details of the target user to form current purchase information, providing a basis for subsequent product selection.

[0074] S402. Push the current purchase information to the relative user so that the relative user can reselect the target product from the product set.

[0075] Based on the above discussion of historical product linkage push operations, the smart TV pushes the current purchase information to the mobile terminal of the relative user through the family linkage communication module. The relative user can view the information of the target product and the target user's shopping needs on the mobile terminal.

[0076] S403. When it is detected that a relative user has completed the reselection of the target product, the product order of the reselected target product will be pushed to the relative user.

[0077] Based on the above discussion of the historical product linkage push operation, when the smart TV detects that a relative user has completed the operation of reselecting the target product, the smart TV's order generation module will quickly generate the corresponding product order based on the current product information of the reselected target product and the target user's shopping needs details, and push it to the relative user.

[0078] The product reselection push operation provided in this application promptly filters out a set of alternative products for users to reselect during the product reselection push operation, further meeting the shopping needs of target users. The historical product linkage push operation fully considers their historical purchasing habits and actual needs. At the same time, it gives family members full choice, making the shopping process more flexible and user-friendly. It not only improves the accuracy and satisfaction of target users' shopping, but also further strengthens the cooperation and communication of family members in the shopping process, promotes the close connection of family relationships in the smart TV shopping scenario, and provides a more complete solution for the application of smart TVs in the shopping field.

[0079] In an optional embodiment of the present invention, when the service request is a shopping request, pushing a set of products matching the shopping request to the target user includes: When the service demand is a shopping demand, the product characteristics corresponding to the shopping demand are obtained; based on the product characteristics, the corresponding product source is retrieved from a preset multi-platform product data source; the product source is filtered according to preset qualification rules, and products that do not meet the preset qualification rules are removed; the target user's historical shopping information is obtained; the products included in the filtered product source are sorted according to the historical shopping information, and a product set is pushed to the target user.

[0080] In this embodiment, if the target user's comprehensive service needs are determined to be shopping needs, the core product features corresponding to the shopping needs are first obtained through the built-in demand feature extraction module based on the analysis results of the behavior-demand matching model. The product features include at least the product category, functional adaptation attributes, applicable audience tags, and estimated budget range. Then, the multi-source data docking module is invoked. Based on the extracted product characteristics, the corresponding product sources with the corresponding categories and attributes are retrieved from the preset multi-platform product data sources (including e-commerce platform open interfaces, pharmaceutical e-commerce compliance databases, and elderly product exclusive supply databases). At the same time, the retrieved product sources are subjected to preliminary data cleaning to remove duplicate product data and invalid information. Then, the product qualification screening module is activated, and multi-dimensional screening is performed on the cleaned product sources according to the preset qualification rules. The preset qualification rules include that the merchant has the legal business qualifications for the corresponding category, the product has passed the platform's compliance review, the merchant's reputation score is not lower than the system's preset threshold, and the proportion of positive feedback in the product reviews is higher than the preset proportion, so that products that do not meet the qualification rules are completely eliminated. Next, the system retrieves the target user's historical shopping information from the user shopping data storage module. This information includes the categories of goods selected in the past, the merchants from which orders were placed, product usage reviews and feedback records, repurchase frequency, and other preference data. Then, through the product sorting engine, the system prioritizes the products within the qualified product source based on the historical shopping information. The sorting rules are: first, display products that match the categories of goods selected in the target user's past purchases; second, display products from merchants with good historical reviews; and third, display similar products that the user has repurchased in the past. This generates a product set that matches the target user's shopping preferences. Finally, the product set is pushed to the target user's smart TV terminal in a visually interactive format that is user-friendly for elderly users (supporting voice control for page turning, detailed voice broadcast, and large font text and image display). At the same time, a voice Q&A channel for product information is opened so that the target user can consult product details in real time.

[0081] The product set push method provided in this application, through multi-dimensional filtering and sorting rules, not only ensures the quality of the products and the reputation of the merchants, but also takes into account the historical shopping habits of the target users, making the pushed product sets more targeted and practical.

[0082] The product information shall include at least the product type, usage cycle, usage frequency, and usage duration; Figure 5 This is a flowchart illustrating a method for generating a timed service program according to an embodiment of this application, as shown below. Figure 5 As shown, the step of generating a corresponding timed service program based on the product information of the target product includes: S501. Obtain the personalized adaptation parameters of the target user, including the user's daily routine and the preset usage constraints of relatives.

[0083] In this embodiment, the smart TV calls the user profile data management module to obtain the personalized adaptation parameters of the target user from the user personalized information database. The personalized adaptation parameters include the target user's daily routine and the usage constraints preset by relatives for the target product. Among them, the user's daily routine covers the target user's core routine nodes such as morning wake-up time, three meal times, lunch break time, and bedtime time. This data is generated by the smart TV's daily behavior monitoring unit after the user's authorization, through long-term collection of data such as the target user's device usage time and voice interaction time, and is analyzed by AI algorithm. It also supports manual calibration by relatives' terminals. The pre-set usage restrictions for relatives are usage restrictions for specific products that relatives can pre-enter through the relatives' permission management interface on the smart TV via their linked mobile terminals. These restrictions include the maximum single dose, maximum daily frequency, and maximum dosing period for pharmaceutical products, and the maximum single usage duration, maximum daily frequency, and usage scenario restrictions for medical devices / daily necessities.

[0084] S502. Based on the product information and personalized adaptation parameters of the target product, generate timed service rules, which include basic timed triggering rules, abnormal warning rules, and multi-terminal synchronization rules.

[0085] In this embodiment, the smart TV calls the built-in service rule generation engine to perform multi-dimensional association and matching between the retrieved complete product information of the target product and the personalized adaptation parameters of the target user, and generates customized timed service rules adapted to the user's usage scenario; the timed service rules specifically include basic timed trigger rules, anomaly warning rules, and multi-terminal synchronization rules; Among them, the basic timed triggering rules are generated by combining product information such as the product's usage cycle, usage frequency, and usage duration with the target user's daily routine such as waking up, three meals, and bedtime. For example, for medicines that need to be taken twice a day, the triggering node is set to the time after breakfast and dinner. For medical devices that need to be used once a day, the triggering node is set to the free time after the user's lunch break. The triggering time can be fine-tuned by family members according to the actual situation. The abnormal warning rules are generated based on product information such as the upper limit of the product's usage period and the threshold for the duration of a single use, combined with the usage constraints preset by relatives. These rules include warnings for products that have exceeded their expiration date (such as a reminder 3 days before the expiration of a medicine's usage period), warnings for excessive / excessive use (such as an immediate warning for a single dose of medicine exceeding the upper limit or a single use duration of medical devices exceeding the threshold), and warnings for abnormal usage frequency (such as a reminder for insufficient or excessive daily usage of a product). The multi-terminal synchronization rule clarifies the display format and permission allocation of the trigger reminders of the timed service rules on different terminals. That is, the target user's smart TV terminal pushes basic timed reminders and warning information in the form of large font pop-up window + voice broadcast. The family user's mobile terminal simultaneously receives the reminder trigger records and warning information. Moreover, the family user can perform secondary calibration of the basic timed trigger rules and adjust the abnormal warning threshold through the mobile terminal.

[0086] S503. Call the smart TV's service program generation engine and generate the corresponding timed service program using the timed service rules.

[0087] In this embodiment, the smart TV calls the built-in service program generation engine, first retrieves the basic service program template that matches the target product type from the program template database (such as the health reminder program template for pharmaceuticals, the equipment use supervision program template for medical devices, and the replacement reminder program template for daily necessities), and then embeds the generated customized timed service rules into the corresponding instruction modules of the basic service program template one by one according to the preset rule mapping protocol to generate a timed service program that is adapted to the target user's usage scenario. During the rule embedding process, the service program generation engine will simultaneously verify the logical rationality of the scheduled service rules. If it detects a conflict between the time node of the basic scheduled trigger rule and the target user's daily routine (such as the reminder time overlapping with the user's preset rest period), it will automatically trigger the rule calibration mechanism to adjust the trigger time based on the user's routine priority. At the same time, the engine will optimize the program for elderly users, including configuring slow speech, loud voice broadcast commands, high-contrast large font visual pop-up commands, and simple voice response interaction commands, to ensure that the target user can easily receive and respond to program reminders. In addition, the engine will bind a unique program identifier ID to the scheduled service program and associate it with the order number of the target product, so as to achieve precise binding between the program and the product, which will facilitate unified management and traceability of the program status in the future.

[0088] The scheduled service program generation method provided in this application generates customized scheduled service rules by combining product information of the target product and personalized adaptation parameters of the target user. These rules are then used to generate a scheduled service program adapted to the target user's usage scenario. By fully considering the target user's daily routine and the usage constraints preset by relatives, the scheduled service program better meets the user's actual needs, further improving its practicality, convenience, and manageability.

[0089] In an optional embodiment of the present invention, the method further includes: When it is detected that the target product for which payment has been completed is a non-repurchase product, the user manual and risk disclosure of the target product are obtained; the user manual and risk disclosure of the target product are pushed to the relative user so that the relative user can perform the confirmation operation of the user manual and risk disclosure of the product; when it is detected that the relative user confirms that there is no problem, a usage guide is generated based on the user manual and risk disclosure of the target product, and the usage guide is presented to the target user in the form of a combination of voice and text.

[0090] In this embodiment, after the smart TV detects that the target product for which payment has been completed is a non-repurchase product, it first automatically obtains the standardized instructions for use and official risk disclosure documents of the target product by connecting to the compliance information database of the product supplier and the regulatory filing interface for pharmaceutical / medical device products. The instructions for use cover basic information such as the core functions, operation steps, scope of application, and storage conditions of the product. The risk disclosure includes safety tips such as contraindications for product use, possible adverse reactions, and precautions for use by special groups. In addition, the information is translated into popular language for elderly users, and professional and obscure terms are removed. Subsequently, through the family-linked communication module, the compiled user manual and risk disclosure documents are pushed to the family member's mobile terminal in a downloadable and previewable format. This includes "Information Confirmation" and "Information Objection" entry points, allowing the family member to verify the product's safe usage information. If the family member raises an objection, they can initiate a supplementary consultation request. The smart TV will automatically connect to the product's customer service interface to obtain answers and feedback, which will then be synchronized to the family member's terminal. Once the system detects that the family member has completed the "Confirmation" operation on their mobile terminal, the service guidance generation module is immediately invoked. Based on the confirmed user manual and risk disclosure documents, and considering the target user's cognitive habits and operational abilities, a suitable product usage guide is generated. This guide is broken down into step-by-step simplified operation instructions and key risk warnings. Finally, it is presented to the target user through the smart TV terminal in a combination of voice broadcast and large-font text pop-ups. The voice broadcast uses a slow-speed, high-volume elderly-friendly mode, while the text pop-ups feature high-contrast colors and enlarged fonts.

[0091] By employing the above methods, we can both safeguard the right of relatives to review the safety information of the target product and provide usage guidance in a way that is easy for elderly users to understand, effectively reducing the usage risks of non-repurchased products and improving the safety and convenience of the target users in using the product.

[0092] Figure 6 This is a schematic diagram illustrating the steps of a smart TV control method provided in an embodiment of this application, as shown below. Figure 6 As shown, the control method for smart TVs mainly includes the following steps: Step 1: Users need to enter the ID card number and mobile phone number of the elderly person and their relatives in the TV management permission interface according to their actual needs, and save the facial information after recording it.

[0093] Step Two: The AI ​​TV's built-in voice recognition camera will automatically activate when the TV is turned on. This camera captures sound sources and uses facial recognition technology to verify the elderly person's access rights.

[0094] Step 3: Once the camera successfully recognizes the elderly person's face and confirms permissions, the AI ​​TV will execute the corresponding operation based on the elderly person's voice commands.

[0095] (1) It can communicate and interact with the elderly in daily life, effectively alleviate their loneliness and promote their physical and mental health.

[0096] (2) It can automatically dial the mobile phone number of relatives stored in the TV to make voice or video calls according to the needs of the elderly.

[0097] (3) It can assist the elderly in finding the medicines they need online and recommend reputable merchants for selection. After the elderly select the medicine, the system automatically enters the delivery address and sends the medicine link to a relative stored on the TV for confirmation and payment. After receiving the confirmation information, the relative can view the medicine details through the link to confirm whether its functions meet the elderly's needs. If the needs are met, payment can be completed; if not, the link can be rejected and other medicines can be automatically recommended, or the relative can find suitable medicines for the elderly themselves and recommend them to the elderly for confirmation through the TV. After receiving the medicine, the elderly can place the medicine QR code in front of the camera so that the TV can verify the authenticity of the medicine and the dosage, and provide voice feedback to the relative. The relative can also enter the medicine usage method and medication interval through the mobile phone, and the TV will remind the elderly to take the medicine on time according to the input.

[0098] Figure 7 This is a schematic diagram of the structure of a control device for a smart TV provided in an embodiment of this application, as shown below. Figure 7 As shown, the device specifically includes: The acquisition module 701 is used to acquire the behavioral information of the target user, wherein the target user is a user who has completed the pre-entry of identity information and kinship information in the smart TV; The parsing module 702 is used to parse the behavioral information based on a preset behavioral demand matching model to determine the service needs of the target user; The first push module 703 is used to push a set of products matching the shopping demand to the target user when the service demand is a shopping demand. The second push module 704 is used to push the product information of the target product and the shopping needs of the target user to a relative user when the target user selects a target product from the product set, so that the relative user can perform a payment operation on the target product. The relative user is a user who is bound to the target user by a family relationship. Service module 705 is used to generate a corresponding scheduled service program based on the product information of the target product when the payment for the target product is detected, and to push the scheduled service program to the target user and his / her relatives simultaneously.

[0099] In one possible implementation, the second push module 704 is further configured to retrieve the target user's historical shopping records and determine whether the target product is a previously purchased product of the target user based on the historical shopping records; if the target product is a previously purchased product, a historical product linkage push operation is performed to enable the relative user to perform a repurchase confirmation or reselection payment operation; if the target product is not a previously purchased product, a product reselection push operation is performed to enable the relative user to perform a reselection payment operation.

[0100] In one possible implementation, the second push module 704 is further configured to acquire historical purchase information of the target product, merge the historical purchase information, the product information of the target product, and the shopping needs of the target user into current purchase information; push the current purchase information to the relative user so that the relative user can choose whether to perform a repurchase operation on the target product; when it is detected that the relative user confirms the repurchase of the target product, push the product order of the target product to the relative user; when it is detected that the relative user confirms not to repurchase the target product, merge the product information of the target product and the shopping needs of the target user into current purchase information; push the current purchase information to the relative user so that the relative user can reselect the target product from the product set; when it is detected that the relative user has completed the reselection of the target product, push the product order of the reselected target product to the relative user.

[0101] In one possible implementation, the second push module 704 is further configured to merge the product information of the target product and the shopping needs of the target user into current purchase information; push the current purchase information to the relative user so that the relative user can reselect the target product from the product set; and when it is detected that the relative user has completed the reselection of the target product, push the product order of the reselected target product to the relative user.

[0102] In one possible implementation, the first push module 703 is further configured to: obtain product characteristics corresponding to the shopping demand when the service demand is a shopping demand; retrieve corresponding product sources from a preset multi-platform product data source based on the product characteristics; filter the product sources according to preset qualification rules and remove products that do not meet the preset qualification rules; obtain the target user's historical shopping information; sort the products included in the filtered product sources according to the historical shopping information to obtain a product set and push it to the target user.

[0103] In one possible implementation, the service module 705 is further configured to obtain personalized adaptation parameters of the target user, including the user's daily routine and preset usage constraints by relatives; generate timed service rules based on the product information of the target product and the personalized adaptation parameters, including basic timed triggering rules, abnormal warning rules, and multi-terminal synchronization rules; and call the service program generation engine of the smart TV to generate a corresponding timed service program using the timed service rules.

[0104] In one possible implementation, the service module 705 is further configured to, when detecting that the target product for which payment has been completed is a non-repurchase product, obtain the user manual and risk disclosure of the target product; push the user manual and risk disclosure of the target product to the relative user so that the relative user performs a confirmation operation of the user manual and risk disclosure of the product; when it is detected that the relative user has confirmed that there is no problem, generate a usage guide based on the user manual and risk disclosure of the target product, and present the usage guide to the target user in the form of a combination of voice and text.

[0105] The control device for the smart TV provided in this embodiment can be as follows: Figure 7 The control device of the smart TV shown can perform actions such as Figure 1-6 Controlling all steps of a smart TV, thereby achieving Figure 1-6 For details on the technical effects of the smart TV control shown, please refer to [link / reference]. Figure 1-6 The relevant descriptions are presented concisely and will not be elaborated upon here.

[0106] The device embodiments described above are merely illustrative. 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 modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0107] Figure 8 This is a schematic diagram of the structure of a smart TV provided in an embodiment of this application, such as... Figure 8 As shown, this application embodiment provides a smart TV, including a processor 801, a communication interface 802, a memory 803, and a communication bus 804. The processor 801, communication interface 802, and memory 803 communicate with each other via the communication bus 804. The memory 803 stores computer programs. When the processor 801 executes the program stored in the memory 803, it implements the control steps of the smart TV provided in any of the aforementioned method embodiments. The system acquires the behavioral information of a target user, who is a user who has pre-entered their identity information and kinship information on a smart TV. Based on a preset behavioral demand matching model, the behavioral information is parsed to determine the service demand of the target user. If the service demand is a shopping demand, a set of products matching the shopping demand is pushed to the target user. When the system detects that the target user has selected a target product from the set of products, the product information of the target product and the target user's shopping demand are pushed to a relative user, who is a user who is bound to the target user by kinship, so that the relative user can perform a payment operation on the target product. When the system detects that the payment for the target product has been completed, a corresponding scheduled service program is generated based on the product information of the target product, and the scheduled service program is simultaneously pushed to the target user and the relative user.

[0108] In one possible implementation, the target user's historical shopping records are retrieved, and it is determined whether the target product is a previously purchased product of the target user based on the historical shopping records; if the target product is a previously purchased product, a historical product linkage push operation is performed to enable the relative user to perform a repurchase confirmation or reselection payment operation; if the target product is not a previously purchased product, a product reselection push operation is performed to enable the relative user to perform a reselection payment operation.

[0109] In one possible implementation, historical purchase information of the target product is obtained, and the historical purchase information, the product information of the target product, and the shopping needs of the target user are merged into current purchase information. This current purchase information is then pushed to a relative user, allowing the relative user to choose whether to repurchase the target product. When a relative user confirms a repurchase of the target product, the product order for the target product is pushed to the relative user. When a relative user confirms not to repurchase the target product, the product information of the target product and the shopping needs of the target user are merged into current purchase information. This current purchase information is then pushed to the relative user, allowing the relative user to reselect the target product from the product set. When a relative user completes the reselection of the target product, the product order for the reselected target product is pushed to the relative user.

[0110] In one possible implementation, the product information of the target product and the shopping needs of the target user are combined into current purchase information; the current purchase information is pushed to the relative user so that the relative user can reselect the target product from the product set; when it is detected that the relative user has completed the reselection of the target product, the product order of the reselected target product is pushed to the relative user.

[0111] In one possible implementation, if the service demand is a shopping demand, the product characteristics corresponding to the shopping demand are obtained; based on the product characteristics, the corresponding product source is retrieved from a preset multi-platform product data source; the product source is filtered according to preset qualification rules, and products that do not meet the preset qualification rules are removed; the target user's historical shopping information is obtained; the products included in the filtered product source are sorted according to the historical shopping information, and a product set is pushed to the target user.

[0112] In one possible implementation, personalized adaptation parameters of the target user are obtained, including the user's daily routine and preset usage constraints by relatives; based on the product information of the target product and the personalized adaptation parameters, timed service rules are generated, including basic timed triggering rules, anomaly warning rules, and multi-device synchronization rules; the service program generation engine of the smart TV is invoked to generate a corresponding timed service program using the timed service rules.

[0113] In one possible implementation, when it is detected that the target product for which payment has been completed is a non-repurchase product, the user manual and risk disclosure of the target product are obtained; the user manual and risk disclosure of the target product are pushed to the relative user so that the relative user performs a confirmation operation of the user manual and risk disclosure of the product; when it is detected that the relative user confirms that there is no problem, a usage guide is generated based on the user manual and risk disclosure of the target product, and the usage guide is presented to the target user in the form of a combination of voice and text.

[0114] Through the above description of the embodiments, those skilled in the art can clearly understand that each embodiment can be implemented using software plus a general-purpose hardware platform, or of course, using hardware. Based on this understanding, the above technical solutions, in essence or the parts that contribute to the related technology, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, magnetic disk, optical disk, etc., and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute the methods described in the various embodiments or some parts of the embodiments.

[0115] It should be understood that the terminology used herein is for the purpose of describing particular exemplary embodiments only and is not intended to be limiting. Unless the context clearly indicates otherwise, the singular forms “a,” “an,” and “described” as used herein may also include the plural forms. The terms “comprising,” “including,” “containing,” and “having” are inclusive and therefore indicate the presence of the stated features, steps, operations, elements, and / or components, but do not exclude the presence or addition of one or more other features, steps, operations, elements, components, and / or combinations thereof. The method steps, processes, and operations described herein are not construed as requiring them to be performed in a particular order described or illustrated unless the order of performance is explicitly indicated. It should also be understood that additional or alternative steps may be used.

[0116] The above description is merely a specific embodiment of the present invention, enabling those skilled in the art to understand or implement the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the present invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features claimed herein.

Claims

1. A control method for a smart TV, characterized in that, include: Obtain behavioral information of target users, wherein the target users are users who have completed the pre-entry of identity information and kinship information on smart TVs; Based on a preset behavior demand matching model, the behavior information is analyzed to determine the service needs of the target user; If the service request is a shopping request, a set of products matching the shopping request will be pushed to the target user; When it is detected that a target user has selected a target product from the product set, the product information of the target product and the target user's shopping needs are pushed to a relative user so that the relative user can perform a payment operation on the target product. The relative user is a user who is bound to the target user by kinship. When payment for the target product is detected, a corresponding scheduled service program is generated based on the product information of the target product, and the scheduled service program is simultaneously pushed to the target user and their relatives.

2. The method according to claim 1, characterized in that, The step of pushing the product information of the target product and the shopping needs of the target user to the relative user, so that the relative user can perform a payment operation for the target product, includes: Retrieve the target user's historical shopping records, and determine whether the target product is a product that the target user has purchased in the past based on the historical shopping records; If the target product is a previously purchased product, a push notification for previously purchased products will be executed to enable the relative user to confirm the repurchase or select a new product for payment. If the target product is not a previously purchased product, a product reselection push operation is performed so that the relative user can perform the payment operation for the reselected product.

3. The method according to claim 2, characterized in that, The operation of linking historical products for push notifications includes: Obtain historical purchase information for the target product, and combine the historical purchase information, the product information of the target product, and the shopping needs of the target user into current purchase information; The current purchase information is pushed to relatives so that they can choose whether to repurchase the target product. When a relative user confirms a repeat purchase of the target product, the product order for the target product is pushed to the relative user. When it is detected that a relative user has confirmed that they will not repurchase the target product, the product information of the target product and the target user's shopping needs are merged into the current purchase information; The current purchase information is pushed to the relative user so that the relative user can reselect the target product from the product set; When it is detected that a relative user has completed the reselection of the target product, the order for the reselected target product will be pushed to the relative user.

4. The method according to claim 2, characterized in that, The process of performing product reselection and push includes: The product information of the target product and the shopping needs of the target user are combined into the current purchase information; The current purchase information is pushed to the relative user so that the relative user can reselect the target product from the product set; When it is detected that a relative user has completed the reselection of the target product, the order for the reselected target product will be pushed to the relative user.

5. The method according to claim 1, characterized in that, When the service request is a shopping request, pushing a set of products matching the shopping request to the target user includes: If the service requirement is a shopping requirement, obtain the product characteristics corresponding to the shopping requirement; Based on the product characteristics, the corresponding product source is retrieved from the preset multi-platform product data source; The product sources are screened according to preset qualification rules, and products that do not meet the preset qualification rules are removed; Obtain the target user's historical shopping information; Based on the historical shopping information, the products included in the filtered product source are sorted to obtain a product set which is then pushed to the target user.

6. The method according to claim 1, characterized in that, The product information shall include at least the product type, usage cycle, usage frequency, and usage duration; The process of generating a corresponding scheduled service program based on the product information of the target product includes: Obtain personalized adaptation parameters for the target user, including the user's daily routine and preset usage constraints by relatives; Based on the product information and personalized adaptation parameters of the target product, a timed service rule is generated, which includes basic timed triggering rules, anomaly warning rules, and multi-terminal synchronization rules. The smart TV's service program generation engine is invoked to generate the corresponding timed service program using the aforementioned timed service rules.

7. The method according to claim 1, characterized in that, The method further includes: When it is detected that the target product for which payment has been completed is a non-repurchase product, the user manual and risk disclosure of the target product are obtained; The user manual and risk disclosure of the target product are pushed to the relatives so that the relatives can confirm the user manual and risk disclosure. When the confirmation from a relative user is confirmed, a usage guide is generated based on the user manual and risk disclosure of the target product, and the usage guide is presented to the target user in a combination of voice and text.

8. A control device for a smart TV, characterized in that, include: The acquisition module is used to acquire the behavioral information of the target user, who is a user who has completed the pre-entry of identity information and kinship information in the smart TV; The parsing module is used to parse the behavioral information based on a preset behavioral demand matching model to determine the service needs of the target user. The first push module is used to push a set of products that match the shopping demand to the target user when the service demand is a shopping demand. The second push module is used to push the product information of the target product and the shopping needs of the target user to the relative user when the target user selects the target product from the product set, so that the relative user can perform the payment operation on the target product. The relative user is a user who is bound to the target user by kinship. The service module is used to generate a corresponding scheduled service program based on the product information of the target product when the payment for the target product is detected, and to push the scheduled service program to the target user and his / her relatives simultaneously.

9. A smart TV, characterized in that, The television includes a memory, a processor, and a television control program stored in the memory and executable on the processor, the television control program being configured to implement the steps of the control method for an intelligent television as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the control method for the smart television as described in any one of claims 1 to 7.

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