Commodity recommendation method and device and electronic equipment

Abstract

The invention discloses a commodity recommendation method and apparatus, and an electronic device. The method comprises the steps of obtaining consumption data of a target commodity in a vehicle; if the consumption data meets a preset condition, sending a vehicle type product code corresponding to the vehicle and target commodity information of the target commodity to the cloud; recommended commodity information returned by the cloud according to the vehicle type product code and the target commodity information is obtained, the recommended commodity information is determined by the cloud from a commodity information set corresponding to the vehicle type product code according to the target commodity information, and the commodity information set is determined in advance according to vehicle configuration information corresponding to the vehicle type product code; and the recommendation information including the recommended commodity information is output, so that personalized commodity recommendation is realized according to the vehicle type product code corresponding to the vehicle and the real-time data of the commodities in the vehicle, the time consumed by the user to purchase the commodities is shortened, and the user experience is improved.

Description

Technical Field

[0001] This application relates to the technical field of vehicle networking, and more specifically, to a product recommendation method, device, and electronic device. Background Art

[0002] With the development of vehicle networking technology, more and more vehicles have achieved connection with the Internet and people, and the way of selling products in vehicles has become more intelligent. In related technologies, during the process of selling products in vehicles, most of them are based on in-vehicle head unit shopping malls for product display for users to purchase products. However, there are many products in the head unit shopping mall, and it is difficult for users to find suitable products. Summary of the Invention

[0003] In view of this, embodiments of this application propose a product recommendation method, device, and electronic device to improve the above problems.

[0004] In a first aspect, an embodiment of this application provides a product recommendation method, the method including: obtaining consumption data of a target product in the vehicle; if the consumption data meets a preset condition, sending the vehicle model product code corresponding to the vehicle and the target product information of the target product to the cloud; obtaining recommended product information returned by the cloud according to the vehicle model product code and the target product information, where the recommended product information is determined by the cloud from a product information set corresponding to the vehicle model product code, and the product information set is determined in advance according to vehicle configuration information corresponding to the vehicle model product code; outputting recommended information including the recommended product information.

[0005] In a second aspect, an embodiment of this application provides a product recommendation method, the method including: receiving the vehicle model product code sent by the vehicle and the target product information of the target product in the vehicle, where the vehicle model product code and the target product information are sent by the vehicle when it is determined that the consumption data of the target product meets a preset condition; determining recommended product information from a product information set corresponding to the vehicle model product code according to the target product information, where the product information set is determined in advance according to vehicle configuration information corresponding to the vehicle model product code; sending the recommended product information to the vehicle so that the vehicle outputs recommended information including the recommended product information.

[0006] In a third aspect, an embodiment of the present application provides a commodity recommendation device, which includes: a consumption data acquisition module, a vehicle model product code and target commodity information sending module, a recommended commodity information acquisition module, and a recommendation information output module. Among them, the consumption data acquisition module is used to acquire the consumption data of the target commodity in the vehicle; the vehicle model product code and target commodity information sending module is used to send the vehicle model product code corresponding to the vehicle and the target commodity information of the target commodity to the cloud if the consumption data meets a preset condition; the recommended commodity information acquisition module is used to acquire the recommended commodity information returned by the cloud according to the vehicle model product code and the target commodity information, where the recommended commodity information is determined by the cloud from the commodity information set corresponding to the vehicle model product code, and the commodity information set is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code; the recommendation information output module is used to output the recommendation information including the recommended commodity information.

[0007] In a fourth aspect, an embodiment of the present application provides a commodity recommendation device, which includes: a vehicle model product code and target commodity information receiving module, a recommended commodity information determination module, and a recommended commodity information sending module. Among them, the vehicle model product code and target commodity information receiving module is used to receive the vehicle model product code sent by the vehicle and the target commodity information of the target commodity in the vehicle, where the vehicle model product code and the target commodity information are sent by the vehicle when it is determined that the consumption data of the target commodity meets a preset condition; the recommended commodity information determination module is used to determine the recommended commodity information from the commodity information set corresponding to the vehicle model product code according to the target commodity information, where the commodity information set is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code; the recommended commodity information sending module is used to send the recommended commodity information to the vehicle so that the vehicle outputs the recommendation information including the recommended commodity information.

[0008] In a fifth aspect, an embodiment of the present application provides an electronic device, including a memory and a processor, the memory is coupled to the processor, and the memory stores instructions, and when the instructions are executed by the processor, the processor executes the commodity recommendation methods provided in the first aspect and the second aspect above.

[0009] In a sixth aspect, an embodiment of the present application provides a computer-readable storage medium, in which program codes are stored, and the program codes can be called by a processor to execute the commodity recommendation methods provided in the first aspect and the second aspect above.

[0010] In the solution of this application, by obtaining the consumption data of the target commodity in the vehicle; if it is determined that the consumption data of the target commodity meets the preset conditions, the vehicle model product code corresponding to the vehicle and the target commodity information of the target commodity are sent to the cloud, so as to send the vehicle model code corresponding to the vehicle and the target commodity information of the target commodity to the cloud according to the real-time data of the target commodity in the vehicle, and the cloud matches the compatible commodities that conform to the vehicle model personality according to the unique identification code of the vehicle model and the pre-established commodity information set, and determines the recommended commodities for recommendation according to the real-time data of the vehicle; wherein, the vehicle obtains the recommended commodity information returned by the cloud according to the vehicle model product code and the target commodity information, and outputs the recommendation information including the recommended commodity information, so as to perform precise matching and recommendation of commodities based on the vehicle model code and the real-time data of the vehicle, improve the personalization of vehicle commodity recommendation, improve the efficiency of commodity sales, and at the same time, users can purchase commodities based on the recommendation information, shorten the time consumed by users for commodity selection, and improve the shopping experience of users. BRIEF DESCRIPTION OF THE DRAWINGS

[0011] In order to more clearly illustrate the technical solutions in the embodiments of this application, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the following drawings are only some embodiments of this application. For those skilled in the art, without creative efforts, other drawings can be obtained according to these drawings.

[0012] Figure 1 FIG. shows a schematic diagram of an application scenario provided by an embodiment of this application;

[0013] Figure 2 FIG. shows a schematic flowchart of a commodity recommendation method provided by an embodiment of this application;

[0014] Figure 3 FIG. shows a schematic flowchart of a commodity recommendation method provided by an embodiment of this application;

[0015] Figure 4 FIG. shows a schematic flowchart of a commodity recommendation method provided by an embodiment of this application;

[0016] Figure 5 FIG. shows a schematic working flowchart of a commodity recommendation system provided by an embodiment of this application;

[0017] Figure 6 FIG. shows a block diagram of modules of a commodity recommendation device provided by an embodiment of this application;

[0018] Figure 7 FIG. shows a block diagram of modules of a commodity recommendation device provided by an embodiment of this application;

[0019] Figure 8The block diagram of an electronic device for implementing the product recommendation method according to the embodiments of the present application is shown;

[0020] Figure 9 The storage unit for storing or carrying the program code for implementing the product recommendation method according to the embodiments of the present application is shown. Detailed implementation manners

[0021] In order to enable those skilled in the art to better understand the solution of 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 in the embodiments of the present application.

[0022] In order to better understand the solution of the embodiments of the present application, the technical terms used in the embodiments of the present application will be explained below.

[0023] OTA, Over-The-Air, that is, the over-the-air download technology, is a method for remotely updating the device firmware or software through a wireless communication network.

[0024] MTOC, Model-Type-Option-Colour, represents the vehicle model product code and the vehicle series model coding value. Among them, M - Model represents the vehicle series; T - Type represents the version; O - Option represents the configuration; C - Colour represents the colour. MTOC is a commonly used coding system in the automotive industry for describing and differentiating different vehicle models, types, configurations and colours.

[0025] VIN, Vehicle Identification Number, that is, the vehicle identification number.

[0026] App, Application, refers to the application program.

[0027] The vehicle data engine / car infotainment system data engine is a system that integrates a big data platform and intelligent perception technology for processing and analyzing vehicle data. Its core functions include: data collection and integration, data spatio-temporal alignment, data analysis model construction, automated data processing and warning, life prediction and fault handling guidance, data fusion and monitoring, result output and deduction prediction, improving safety and reliability.

[0028] The car infotainment system app store refers to the application program store in the in-vehicle infotainment system, which allows users to directly download and install various application programs and services inside the vehicle; these application programs may include navigation, music, video, games, news, office software, etc., aiming to enhance the user's personalized experience and the expandability of in-vehicle services.

[0029] The implementation details of the technical solutions in the embodiments of the present application will be elaborated in detail below:

[0030] In recent years, with the development of vehicle networking technology, more and more vehicles have been connected to the Internet and people. Automobile sales are no longer a one-time deal, but rather continuously improve the driving and riding services and product experiences through after-installation or OTA, and adopt a paid activation model, allowing users to purchase as needed. Currently, the product display methods in in-vehicle head unit malls mostly rely on general classifications, such as displaying by product type, brand, etc. Automobile manufacturers' operations cannot perform precise product matching and recommendations for specific vehicle models, resulting in users having to spend a lot of time looking for products suitable for their vehicle models, leading to a poor shopping experience for users. Automobile manufacturers are difficult to liberate manpower and cannot conduct automated precision marketing in real time, resulting in low product sales efficiency.

[0031] In response to the above problems, through long-term research, the inventors have proposed a product recommendation method, device, and electronic device provided in the embodiments of the present application, which perform precise matching and recommendation of products based on vehicle type codes and real-time data of vehicles, improving the personalization of vehicle product recommendations and the efficiency of product sales. At the same time, users can purchase products based on the recommended information, shortening the time consumed by users in product selection and improving the users' shopping experience. Among them, the specific product recommendation method will be described in detail in the subsequent embodiments.

[0032] The implementation details of the technical solutions in the embodiments of the present application will be elaborated in detail below:

[0033] Figure 1 is a schematic diagram of an application scenario shown according to an embodiment of the present application, as Figure 1 shown. This application scenario includes an electronic device 100 and a cloud 101. Among them, the electronic device 100 can be communicatively connected to the cloud 101 through a network. Among them, the network for the communicative connection can be a wide area network or a local area network, or a combination of the two. Among them, the electronic device 100 can be an electric vehicle, a fuel vehicle, a motorcycle, an in-vehicle terminal, or other devices with data processing capabilities. Among them, the cloud 101 can be a desktop computer, a laptop computer, an in-vehicle terminal, a car head unit display, or other devices. Figure 1 Only a schematic diagram showing the electronic device 100 as a vehicle and the cloud 101 as a server is shown.

[0034] Among them, the vehicle can obtain the consumption data of the target commodity in the vehicle. Among them, if the vehicle determines that the consumption data meets the preset conditions, it can send the vehicle series model product code MTOC corresponding to the vehicle and the target commodity information of the target commodity to the cloud 101. Among them, the cloud 101 can receive the MTOC sent by the vehicle and the target commodity information of the target commodity in the vehicle. Among them, the cloud 101 can determine the recommended commodity information from the commodity information set corresponding to the MTOC according to the target commodity information. Among them, the commodity information set can be determined by the cloud 101 in advance according to the vehicle configuration information corresponding to the MTOC. Among them, the cloud 101 can send the recommended commodity information to the vehicle. Among them, the vehicle can obtain the recommended commodity information returned by the cloud 101 according to the MTOC and the target commodity information, and can output the recommendation information including the recommended commodity information. Thus, according to the real-time data of the target commodity in the vehicle, the vehicle model code MTOC corresponding to the vehicle and the target commodity information of the target commodity are sent to the cloud 101, so that the cloud 101 matches the recommended commodity information that conforms to the vehicle personality according to the unique identification code of the vehicle model and the pre-established commodity information set for recommendation.

[0035] Among them, the electronic device 100 can also execute the step of the cloud 101 returning the recommended commodity information according to the MTOC and the target commodity information in the above process, which is not limited here; thus, accurate matching and recommendation of commodities are carried out based on the vehicle model code and the real-time data of the vehicle, improving the personalization of vehicle commodity recommendation, improving the efficiency of commodity sales. At the same time, users can purchase commodities based on the recommendation information, shortening the time for users to select commodities and improving the shopping experience of users.

[0036] The embodiments involved in the present application will be described below with reference to the accompanying drawings.

[0037] Please refer to Figure 2 , Figure 2 which shows a schematic flowchart of a commodity recommendation method provided by an embodiment of the present application. In a specific embodiment, the commodity recommendation method can be applied to a commodity recommendation device 200 as shown in Figure 6 and an electronic device 100 configured with the commodity recommendation device 200 ( Figure 8 ). Taking the electronic device as a vehicle as an example below, the specific process of this embodiment will be described. Of course, it can be understood that the electronic devices applied in this embodiment can include electric vehicles, fuel vehicles, vehicle-mounted terminals, car infotainment systems, etc., which are not limited here. The following will elaborate on the Figure 2 process shown. The commodity recommendation method can specifically include the following steps:

[0038] Step S110: Obtain the consumption data of the target commodity in the vehicle.

[0039] In some embodiments, a vehicle may obtain consumption data of a target commodity in the vehicle. The target commodity in the vehicle may be commodities such as vehicle tires, chassis, and aromatherapy in the vehicle, which are not limited herein. The vehicle may obtain the consumption data of the target commodity in the vehicle through real-time monitoring by a vehicle data engine. The consumption data of the target commodity may include the remaining amount of the target commodity, the consumption speed of the target commodity, the maintenance data of the target commodity, the maintenance records of the target commodity, the safety inspection reports of the target commodity, etc.

[0040] Step S120: If the consumption data meets a preset condition, send the vehicle series and model product code corresponding to the vehicle and the target commodity information of the target commodity to the cloud.

[0041] In some embodiments, a preset condition may be pre-set in the vehicle. After the vehicle obtains the consumption data of the target vehicle, the consumption data may be compared with the preset condition to determine whether the consumption data meets the preset condition, and it may be determined whether to send the vehicle series and model product code MTOC corresponding to the vehicle and the target commodity information of the target commodity to the cloud communicatively connected to the vehicle according to the determination result. Exemplarily, if the vehicle determines that the consumption data meets the preset condition, the MTOC corresponding to the vehicle and the target commodity information of the target commodity may be sent to the cloud.

[0042] Optionally, the preset condition may include that the remaining amount of the target commodity is lower than a target threshold, the consumption speed of the target commodity is higher than a target speed, the part replacement record in the maintenance data of the target commodity meets a preset replacement date, the regular maintenance time in the maintenance records of the target commodity meets a preset maintenance time, the target commodity recorded in the safety inspection report of the target commodity does not meet the safety driving standard, or one or more of them, which are not limited herein. Exemplarily, the preset condition is that the target commodity is exhausted. Based on this, if the vehicle determines that the target commodity is exhausted according to the consumption data of the target commodity, it may be determined that the consumption data of the target commodity meets the preset condition, and the MTOC corresponding to the vehicle and the target commodity information of the target commodity in the vehicle may be sent to the cloud communicatively connected to the vehicle.

[0043] In some embodiments, after the vehicle determines that the consumption data of the target commodity meets the preset condition, it may obtain the vehicle model product code MTOC corresponding to the vehicle and the target commodity information of the target commodity, and may send the MTOC and the target commodity information to the cloud communicatively connected to the vehicle.

[0044] Optionally, the MTOC corresponding to the vehicle may be pre-stored in the vehicle, or the vehicle may obtain the MTOC of the vehicle from an associated cloud or electronic device, which is not limited herein. Among them, the target product information of the target product may include the name of the target product, the type of the target product, the model of the target product, etc. Among them, the vehicle may obtain the target product information of the target product when the target product is determined.

[0045] In some embodiments, the MTOC corresponding to the vehicle and the target product information of the target product may be pre-stored in the vehicle. Among them, after the vehicle determines that the consumption data of the target product meets a preset condition, the vehicle may directly send the MTOC of the vehicle and the target product information to the cloud connected by communication.

[0046] Step S130: Obtain the recommended product information returned by the cloud according to the vehicle model product code and the target product information. The recommended product information is determined by the cloud from the set of product information corresponding to the vehicle model product code according to the target product information. The set of product information is pre-determined according to the vehicle configuration information corresponding to the vehicle model product code.

[0047] In some embodiments, a product database may be pre-stored in the cloud communicatively connected to the vehicle. The product database may include product information of multiple products. Among them, the product information may include product name, product type, product model, product price and other product information.

[0048] Among them, the cloud may cluster the product information in the product database based on the vehicle configuration information corresponding to different MTOCs to obtain a set of product information corresponding to each different MTOC. After receiving the MTOC and the target product information sent by the vehicle, the cloud may determine the set of product information corresponding to the MTOC from the product database according to the MTOC, and may determine the recommended product information from the set of product information according to the target product information, and may return the recommended product information to the vehicle, so that the vehicle obtains the recommended product information returned by the cloud according to the MTOC and the target product information. Optionally, the recommended product information may include product information of one or more products, which is not limited herein.

[0049] Step S140: Output recommended information including the recommended product information.

[0050] In some embodiments, after the vehicle obtains the recommended product information returned by the cloud based on the MTOC corresponding to the vehicle and the target product information, it can output recommended information including the recommended product information. Optionally, a speaker can be provided on the vehicle. Correspondingly, the vehicle can output the recommended information in the form of voice prompts through the speaker; a display screen can also be provided on the vehicle. Correspondingly, the vehicle can output the recommended information in the form of interface display through the display screen.

[0051] As an implementable manner, a display screen can be provided on the vehicle, and the vehicle can display recommended information including the recommended product information on the display screen through the in-vehicle mall. Optionally, the vehicle can generate and display an order placement interface according to the recommended information, so that the user can directly purchase consumable products on the order placement interface without actively querying, improving the user experience.

[0052] In some embodiments, the vehicle can also be communicatively connected to an electronic device carried by a user in the vehicle. Correspondingly, the vehicle can send the recommended information to the electronic device carried by the user in the vehicle, and output recommended information including the recommended product information through the electronic device carried by the user in the vehicle, so as to automatically, real-time, and accurately recommend products based on the vehicle model code and vehicle real-time data, perform personalized and customized product display and recommendation for the vehicle model and real-time data of the vehicle, enable the user to purchase products based on the recommended product information, shorten the time for the user to purchase products, improve the user's shopping experience, reduce the operation manpower of the vehicle enterprise, and improve the marketing effect and sales efficiency of the products.

[0053] The product recommendation method provided by an embodiment of the present application includes obtaining the consumption data of the target product in the vehicle; if it is determined that the consumption data of the target product meets the preset conditions, sending the vehicle model product code corresponding to the vehicle and the target product information of the target product to the cloud, so as to send the vehicle model code corresponding to the vehicle and the target product information of the target product to the cloud according to the real-time data of the target product in the vehicle, so that the cloud matches compatible products that conform to the vehicle model personality according to the unique identification code of the vehicle model and the pre-established product information set, and determines recommended products for recommendation according to the real-time data of the vehicle; wherein, the vehicle obtains the recommended product information returned by the cloud according to the vehicle model product code and the target product information, and outputs recommended information including the recommended product information, so as to perform precise matching and recommendation of products based on the vehicle model code and the real-time data of the vehicle, improve the personalization of vehicle product recommendation, improve the efficiency of product sales. At the same time, the user can purchase products based on the recommended information, shorten the time consumed by the user for product selection, and improve the user's shopping experience.

[0054] Please refer to Figure 3 , Figure 3The flowchart of the product recommendation method provided by an embodiment of the present application is shown. This method is applied to the above vehicle, and the following will be a detailed elaboration on the Figure 3 shown process. The product recommendation method may specifically include the following steps:

[0055] Step S210: Obtain the consumption data of the target product monitored in real time by the vehicle data engine of this vehicle.

[0056] In some embodiments, the vehicle can obtain the consumption data of the target product monitored in real time by the vehicle data engine of this vehicle. Optionally, the vehicle can receive a recommendation instruction and, in response to this recommendation instruction, obtain the consumption data of the target product monitored in real time by the vehicle data engine of this vehicle.

[0057] As an implementable manner, the vehicle can display a user operation interface, and the vehicle can receive a recommendation operation input by the user based on this user operation interface and generate a recommendation instruction. Optionally, the user operation interface may include a recommendation control. Correspondingly, the vehicle can generate a recommendation instruction in response to the user's touch operation on this recommendation control. Optionally, physical buttons may be provided in the vehicle. Correspondingly, the vehicle can generate a recommendation instruction in response to the user's pressing operation on this physical button. Optionally, a sound pickup device may be provided in the vehicle. Correspondingly, the vehicle can obtain the audio data collected by this sound pickup device, perform text conversion on this audio data to obtain an initial text, extract keywords from this initial text, determine whether the initial text includes a preset content, and if it is determined that the initial text includes the preset content, generate a recommendation instruction.

[0058] Step S220: If the consumption data indicates that the remaining amount of the target product is lower than the target threshold, send the vehicle model product code corresponding to this vehicle and the target product information of the target product to the cloud.

[0059] In some embodiments, after the vehicle obtains the consumption data of the target product, if it is determined that the consumption data meets the preset conditions, the vehicle identification number (VIN) corresponding to this vehicle can be obtained, and based on this VIN, the MTOC corresponding to this vehicle can be obtained.

[0060] Among them, the vehicle can track and update the consumption data of the target commodity in the vehicle in real time through the vehicle data engine of the vehicle, and can determine whether the consumption data meets the preset conditions. If it is determined that the consumption data meets the preset conditions, a target broadcast can be triggered. Among them, the target commodity information of the target commodity can be carried in the target broadcast. Among them, the in-vehicle mall in the vehicle can receive the target broadcast, and in the case of recognizing the target commodity information carried in the target broadcast based on the target broadcast, can obtain the vehicle identification number VIN code corresponding to the vehicle, and can query the MTOC corresponding to the vehicle through the vehicle model coding query interface using the VIN code. In the process of the in-vehicle mall obtaining the MTOC corresponding to the vehicle, the corresponding vehicle MTOC can be queried through the vehicle-mounted system interface using the VIN corresponding to the vehicle, that is, the vehicle model identifier corresponding to the vehicle can be determined based on the identifier of the vehicle, so as to determine the unique identifier MTOC of the vehicle model corresponding to the vehicle based on the unique identifier VIN code of the vehicle.

[0061] In some embodiments, a target threshold can be preset in the vehicle. Among them, the target threshold can be set by the user independently or obtained through third-party experimental data, which is not limited here. After the vehicle obtains the consumption data of the target commodity, the remaining quantity of the target commodity in the consumption data can be compared with the target threshold, and whether to send the MTOC corresponding to the vehicle and the target commodity information of the target commodity to the cloud can be determined according to the comparison result. Exemplarily, if the vehicle determines that the consumption data indicates that the remaining quantity of the target commodity is lower than the target threshold, the MTOC corresponding to the vehicle and the target commodity information of the target commodity can be sent to the cloud.

[0062] In some embodiments, a target threshold and a target speed can be preset in the vehicle. Among them, the target speed can be set by the user independently or obtained through third-party experimental data, which is not limited here. After the vehicle obtains the consumption data of the target commodity, the remaining quantity of the target commodity in the consumption data can be compared with the target threshold, and the consumption speed of the target commodity in the consumption data can be compared with the target speed, and whether to send the MTOC corresponding to the vehicle and the target commodity information of the target commodity to the cloud can be determined according to the two comparison results. Exemplarily, if the vehicle determines that the consumption data indicates that the remaining quantity of the target commodity is lower than the target threshold and the consumption speed of the target commodity is higher than the target speed, the MTOC corresponding to the vehicle and the target commodity information of the target commodity can be sent to the cloud communicatively connected to the vehicle.

[0063] As an implementable manner, the vehicle data engine of the vehicle can track and update the consumption data of the target commodity in the vehicle in real time, and can send a target broadcast carrying the consumption data of the target commodity to the in-vehicle mall in the vehicle. Among them, the in-vehicle mall can determine the consumption speed of the target commodity according to the announcements of multiple target broadcasts for the target commodity. Exemplarily, the target broadcast announced by the vehicle data engine for the first time indicates that the remaining amount of the target commodity is less than A%, the target broadcast announced for the second time indicates that the remaining amount of the target commodity is less than B%,..., the target broadcast announced for the Nth time indicates that the remaining amount of the target commodity is less than B%. Accordingly, the in-vehicle mall can determine the consumption speed of the target commodity according to the target broadcast announced each time.

[0064] Step S230: Obtain the recommended commodity information returned by the cloud according to the vehicle model product code and the target commodity information. The recommended commodity information is determined by the cloud from the commodity information set corresponding to the vehicle model product code, and the commodity information set is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code.

[0065] Step S240: Output the recommendation information including the recommended commodity information.

[0066] For the specific descriptions of steps S230 - S240, please refer to the descriptions of steps S130 - S140 above, and will not be elaborated here one by one.

[0067] Step S250: In response to an operation on the recommendation information, display the purchase interface corresponding to the recommended commodity information.

[0068] In some embodiments, after the vehicle outputs the recommendation information including the recommended commodity information, it can, in response to an operation on the recommendation information, display the purchase interface corresponding to the recommended commodity information. Among them, the vehicle can output the recommendation information including the recommended commodity information through the in-vehicle mall. Among them, the in-vehicle mall can display the commodities compatible with the vehicle model on the display screen of the vehicle based on the recommendation information. The vehicle can obtain the operation input by the user on the recommendation information and, in response to the operation on the recommendation information, display the purchase interface corresponding to the recommended commodity information.

[0069] As an implementable manner, the recommended commodity information may include one or more recommended commodities. Accordingly, after the vehicle outputs the recommendation information, it can obtain the operation input by the user based on the recommendation information and, in response to the operation on the recommendation information, display the purchase interface corresponding to the commodity information including the one or more recommended commodities.

[0070] As another implementable manner, the recommended product information may include one or more recommended products. Among them, the in-vehicle mall may generate a recommended interface including the one or more recommended products based on the recommendation information. Among them, the recommended interface may further include product information such as the model, price, name, etc. corresponding to each recommended product, and the recommended interface may further include a purchase control corresponding to each recommended product. Correspondingly, the vehicle may display the recommended interface in the in-vehicle mall or send the recommended interface to an associated electronic device for display, so that the user can input an operation on the recommendation information based on the recommended interface. Among them, when the vehicle displays the purchase interface corresponding to the recommended product information in response to the operation on the recommendation information, the vehicle may obtain the touch operation of the purchase control corresponding to each recommended product in the recommended interface, and may display the purchase interface corresponding to the product information of the recommended product corresponding to the touch operation in response to the touch operation.

[0071] Step S260: In response to the purchase operation in the purchase interface, send a purchase request corresponding to the recommended product information to the cloud.

[0072] In some embodiments, after the vehicle displays the purchase interface corresponding to the recommended product information, it may obtain the purchase operation input by the user based on the purchase interface, and may send a purchase request corresponding to the recommended product information to the cloud in response to the purchase operation in the purchase interface. Among them, the vehicle may determine the purchased product from the recommended product information in response to the purchase operation in the purchase interface, obtain the product information of the purchased product (such as name, model, price, etc.), and may send a purchase request corresponding to the recommended product information to the cloud communicatively connected to the vehicle. Among them, the purchase request may carry the product information of the purchased product. Correspondingly, the cloud may deliver the purchased product based on the purchase request.

[0073] The product recommendation method provided by an embodiment of this application, compared with Figure 2The commodity recommendation method shown in the figure. In this embodiment, if the consumption data indicates that the remaining quantity of the target commodity is lower than the target threshold, the vehicle model product code corresponding to this vehicle and the target commodity information of the target commodity can also be sent to the cloud. Thus, when it is determined according to the real-time depletion data of the target commodity in the vehicle that the target commodity is about to be depleted, commodity recommendation is performed, reducing ineffective recommendations and the inventory pressure of commodities, and achieving the optimal allocation of automated resources. At the same time, in this embodiment, the consumption data of the target commodity monitored in real time by the vehicle data engine of this vehicle can also be obtained, so as to obtain the real-time consumption data of the target commodity in the vehicle, and commodity recommendation is performed according to the real-time consumption data, improving the accuracy of commodity recommendation and also improving the efficiency of commodity sales. In addition, in this embodiment, after outputting the recommendation information including the recommended commodity information, in response to an operation on the recommendation information, a purchase interface corresponding to the recommended commodity information is displayed; in response to a purchase operation in the purchase interface, a purchase request corresponding to the recommended commodity information is sent to the cloud. Thus, commodity recommendation is performed according to personalized commodity recommendation and customized recommendation services, and commodity purchase is performed in response to the purchase operation corresponding to the recommendation information, improving the convenience of users' commodity purchase and improving the user experience.

[0074] Please refer to Figure 4 , Figure 4 shows a schematic flowchart of a commodity recommendation method provided by an embodiment of the present application. In a specific embodiment, this commodity recommendation method can be applied to a commodity recommendation device 300 as shown in Figure 7 and an electronic device 100 configured with the commodity recommendation device 300 ( Figure 8 ). Below, taking the electronic device as an example, the specific process of this embodiment will be described. Of course, it can be understood that the electronic device to which this embodiment is applied can include devices such as desktop computers, laptop computers, vehicle-mounted terminals, and in-vehicle large screens, which are not limited here. Below, the Figure 4 shown process will be elaborated in detail. The commodity recommendation method can specifically include the following steps:

[0075] Step S310: Receive the vehicle model product code sent by the vehicle and the target commodity information of the target commodity in the vehicle, where the vehicle model product code and the target commodity information are sent by the vehicle when it is determined that the consumption data of the target commodity meets a preset condition.

[0076] In some embodiments, the electronic device can be communicatively connected to the vehicle and can receive the MTOC corresponding to this vehicle sent by the vehicle and the target commodity information of the target commodity in the vehicle. Among them, the MTOC and the target commodity information are sent by the vehicle when it is determined that the consumption data of the target commodity in the vehicle meets a preset condition.

[0077] Step S320: Determine recommended product information from the set of product information corresponding to the vehicle model product code according to the target product information, where the set of product information is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code.

[0078] In some embodiments, after the electronic device receives the MTOC sent by the vehicle and the target product information of the target product in the vehicle, it may determine the recommended product information from the set of product information corresponding to the MTOC according to the target product information. Among them, the set of product information may be determined in advance according to the vehicle configuration information corresponding to the MTOC.

[0079] Among them, a product database may be pre-stored in the electronic device, and the product database may include product information of multiple products. Among them, the electronic device may obtain product information from an associated cloud or the electronic device. Among them, the product information may include information such as the name of the product, the type of the product, the model of the product, the price of the product, etc., which is not limited here. Among them, multiple MTOCs may also be set in the electronic device, and the vehicle configuration information corresponding to different MTOCs may be the same or different. Among them, the electronic device may cluster the product information in the product database based on the vehicle configuration information corresponding to different MTOCs to obtain the set of product information corresponding to each different MTOC.

[0080] Optionally, the product information may include the type of the product. The electronic device may obtain the product information of multiple products and classify the multiple products according to the type of the product to obtain product sets of different themes; among them, the electronic device may also cluster the product sets of different themes in the product database based on the vehicle configuration information corresponding to different MTOCs to obtain the set of product information corresponding to each different MTOC.

[0081] Among them, after the electronic device receives the MTOC sent by the vehicle and the target product information, it may determine the set of product information corresponding to the MTOC from the product database according to the MTOC, and may determine the recommended product information from the set of product information according to the target product information, and may return the recommended product information to the vehicle so that the vehicle can obtain the recommended product information returned by the cloud according to the MTOC and the target product information.

[0082] As an implementable manner, the target product information may include the product type; correspondingly, the electronic device may obtain the set of product information corresponding to the MTOC from the product database according to the MTOC corresponding to the vehicle, and may obtain the product information matching the product type included in the target product information from the set of product information as the recommended product information. Optionally, the electronic device may determine the product information with the same product type as that included in the target product information in the set of product information as the recommended information.

[0083] As another implementable manner, the target product information may include the product name. Correspondingly, the electronic device may determine, as the recommended information, the product information in the product information set whose product name is the same as the product name included in the target product information.

[0084] As yet another implementable manner, the target product information may include the product function. Correspondingly, the electronic device may determine, as the recommended information, the product information in the product information set whose product function is the same as the product function included in the target product information.

[0085] Step S330: Send the recommended product information to the vehicle so that the vehicle outputs recommended information including the recommended product information.

[0086] In some embodiments, after obtaining the recommended product information, the electronic device may send the recommended product information to a vehicle communicatively connected to the electronic device so that the vehicle outputs recommended information including the recommended product information, thereby customizing a personalized product information set matching the vehicle model based on the vehicle model code, and automatically and precisely matching the recommended product information from the product information set through the vehicle real-time data, improving the personalization of vehicle product recommendations, reducing the operation manpower of vehicle enterprises, and improving the sales efficiency of products.

[0087] Exemplarily, please refer to Figure 5 , which shows a schematic diagram of the working process of a product recommendation system provided by an embodiment of the present application. Among them, the product recommendation system may be composed of a mall background, a vehicle-mounted mall, and a vehicle-mounted data engine. Among them, a vehicle-mounted mall and a vehicle-mounted data engine may be provided in the vehicle, and a mall background may be provided in an electronic device communicatively connected to the vehicle.

[0088] Among them, one or more MTOCs may be preset in the mall background, and the vehicle configuration information corresponding to different MTOCs may be the same or different. Among them, the mall background may obtain product information from an associated cloud or electronic device, and the product information may include one or more products. Optionally, the mall background may classify the products in the obtained product information based on the type of the products, and may bind the products in the product information to the MTOC based on the vehicle configuration information corresponding to the MTOC, so as to obtain the product information sets respectively corresponding to the MTOCs. That is, the operated mall background may list products of different classifications, and each product is set with a matching MTOC.

[0089] Among them, the in-vehicle computer data engine can monitor the consumption data of target commodities in the vehicle in real time. And if the in-vehicle computer data engine determines that the consumption data of the target commodity meets the preset conditions, it can trigger a target broadcast, and the target commodity information of the target commodity can be carried in the target broadcast. Thus, the in-vehicle computer data engine monitors the consumption data of target commodities in the vehicle in real time, determines the consumption situation of consumables, and can broadcast an exhaustion message when it determines that the consumables are about to be exhausted.

[0090] Among them, the in-vehicle computer mall can receive the target broadcast. And if the in-vehicle computer mall identifies the target commodity information according to the target broadcast, it can obtain the VIN code corresponding to this vehicle, and can use the vehicle type coding query interface through the VIN code to query the MTOC corresponding to this vehicle. After the in-vehicle computer mall obtains the target commodity information and the MTOC corresponding to this vehicle, it can send the MTOC and the target commodity information to the mall background to request recommended commodity information. Thus, the in-vehicle computer mall obtains the exhaustion message broadcast, identifies the exhausted commodity, and obtains the MTOC corresponding to the vehicle.

[0091] Among them, the mall background can match the obtained MTOC with the pre-established commodity database to determine the commodity classification and commodities compatible with this vehicle type, obtain the recommended commodity information and return it to the in-vehicle computer mall. Among them, the mall background can obtain the set of commodity information corresponding to the MTOC from the commodity database based on the MTOC, and can determine the recommended commodity information from the set of commodity information corresponding to the MTOC according to the target commodity information. Thus, the mall background matches with the commodity database according to the MTOC and the target commodity information and returns the corresponding recommended commodities.

[0092] Among them, after receiving the recommended commodity information, the in-vehicle computer mall can output the recommended information including the recommended commodity information when the recommendation function of this vehicle is awakened, and can display the purchase interface corresponding to the recommended commodity information in response to the operation on the recommended information. It can also send a purchase request corresponding to the recommended commodity information to the mall background in response to the purchase operation in the purchase interface, so that the mall background determines an order based on the purchase request and performs order fulfillment. Thus, the in-vehicle computer mall obtains the recommended commodities determined by the mall background according to the matching result, and pushes and displays the recommended commodities compatible with this vehicle type on the user interface; correspondingly, the user can complete online purchases based on the recommended commodities. Optionally, the commodity recommendation system can also deliver the commodities selected by the user through the mall background. Thus, by obtaining the unique identification code of a specific vehicle type, matching it with the pre-established commodity database, and performing real-time and accurate commodity pushing according to the real-time data of the vehicle, it realizes the display and recommendation of the matched personalized recommended commodity information in the in-vehicle computer mall, improving the user experience.

[0093] The commodity recommendation method provided by an embodiment of the present application receives the vehicle model product code and the target commodity information sent by the vehicle when it determines that the consumption data of the target commodity in the vehicle meets the preset conditions, and determines the recommended commodity information from the commodity information set determined in advance according to the vehicle configuration information corresponding to the vehicle model product code based on the target commodity information, and sends the recommended commodity information to the vehicle, so that the vehicle outputs the recommendation information including the recommended commodity information, thereby matching the commodity information set compatible with the vehicle model through the unique identification code of the vehicle model, and determining the recommended commodity from the commodity information set according to the real-time data of the vehicle for accurate recommendation, improving the personalization of vehicle commodity recommendation, improving the efficiency of commodity sales, shortening the time for users to select commodities, and improving the shopping experience of users.

[0094] Please refer to Figure 6 , Figure 6 which shows the module block diagram of the commodity recommendation device provided by an embodiment of the present application. The commodity recommendation device 200 is applied to the above-mentioned electronic device, and the following will elaborate in detail on the Figure 6 process shown. The commodity recommendation device 200 includes: a consumption data acquisition module 210, a vehicle model product code and target commodity information sending module 220, a recommended commodity information acquisition module 230, and a recommendation information output module 240, where:

[0095] The consumption data acquisition module 210 is used to acquire the consumption data of the target commodity in the vehicle.

[0096] The vehicle model product code and target commodity information sending module 220 is used to send the vehicle series model product code corresponding to the vehicle and the target commodity information of the target commodity to the cloud if the consumption data meets the preset conditions.

[0097] The recommended commodity information acquisition module 230 is used to acquire the recommended commodity information returned by the cloud according to the vehicle model product code and the target commodity information. The recommended commodity information is determined by the cloud from the commodity information set corresponding to the vehicle model product code according to the target commodity information, and the commodity information set is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code.

[0098] The recommendation information output module 240 is used to output the recommendation information including the recommended commodity information.

[0099] Further, the vehicle model product code and target commodity information sending module 220 may include: a first sending unit, where:

[0100] The first sending unit is configured to, if the consumption data indicates that the remaining quantity of the target commodity is lower than the target threshold, send the vehicle model product code corresponding to the vehicle and the target commodity information of the target commodity to the cloud.

[0101] Further, the first sending unit may include: a first sending subunit, where:

[0102] The first sending subunit is configured to, if the consumption data indicates that the remaining quantity of the target commodity is lower than the target threshold and the consumption speed of the target commodity is higher than the target speed, send the vehicle model product code corresponding to the vehicle and the target commodity information of the target commodity to the cloud.

[0103] Further, before sending the vehicle series model product code and the target commodity information of the target commodity corresponding to the vehicle to the cloud, the commodity recommendation device 200 may further include: a vehicle identification number acquisition unit and a vehicle model product code acquisition unit, where:

[0104] The vehicle identification number acquisition unit is configured to acquire the vehicle identification number corresponding to the vehicle.

[0105] The vehicle model product code acquisition unit is configured to acquire the vehicle model product code corresponding to the vehicle based on the vehicle identification number.

[0106] Further, the consumption data acquisition module 210 may include: a consumption data acquisition subunit, where:

[0107] The consumption data acquisition subunit is configured to acquire the consumption data of the target commodity monitored by the vehicle data engine of the vehicle.

[0108] Further, after outputting the recommendation information including the recommended commodity information, the commodity recommendation device 200 may further include: a purchase interface display unit and a purchase request sending unit, where:

[0109] The purchase interface display unit is configured to display a purchase interface corresponding to the recommended commodity information in response to an operation on the recommendation information.

[0110] The purchase request sending unit is configured to send a purchase request corresponding to the recommended commodity information to the cloud in response to a purchase operation in the purchase interface.

[0111] Please refer to Figure 7 , Figure 7 shows a block diagram of a commodity recommendation device provided by an embodiment of the present application. The commodity recommendation device 300 is applied to the above-mentioned electronic device. The following will be directed to Figure 7The following elaborates in detail on the process shown. The commodity recommendation device 300 includes: a vehicle model product code and target commodity information receiving module 310, a recommended commodity information determining module 320, and a recommended commodity information sending module 330, where:

[0112] The vehicle model product code and target commodity information receiving module 310 is configured to receive the vehicle model product code sent by the vehicle and the target commodity information of the target commodity in the vehicle. Wherein, the vehicle model product code and the target commodity information are sent by the vehicle when it is determined that the consumption data of the target commodity meets a preset condition.

[0113] The recommended commodity information determining module 320 is configured to determine recommended commodity information from the commodity information set corresponding to the vehicle model product code according to the target commodity information, where the commodity information set is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code.

[0114] The recommended commodity information sending module 330 is configured to send the recommended commodity information to the vehicle, so that the vehicle outputs recommended information including the recommended commodity information.

[0115] Further, the target commodity information includes a commodity type, and the recommended commodity information determining module 320 may include: a recommended commodity information determining subunit, where:

[0116] The recommended commodity information determining subunit is configured to obtain commodity information matching the commodity type from the commodity information set as the recommended commodity information.

[0117] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described devices and modules can refer to the corresponding processes in the foregoing method embodiments, and will not be elaborated herein.

[0118] In several embodiments provided in the present application, the coupling between modules may be electrical, mechanical, or other forms of coupling.

[0119] In addition, in each embodiment of the present application, each functional module may be integrated in a processing module, or each module may exist physically alone, or two or more modules may be integrated in one module. The above-integrated modules may be implemented in the form of hardware or in the form of software functional modules.

[0120] Please refer to Figure 8, which shows a structural block diagram of an electronic device provided by an embodiment of the present application. The electronic device 100 may be an electronic device with processing capabilities such as a vehicle, a tablet computer, a robot, etc. The electronic device 100 in the present application may include one or more of the following components: a processor 110, a memory 120, and one or more application programs, where one or more application programs may be stored in the memory 120 and configured to be executed by one or more processors 110, and one or more programs are configured to execute the methods described in the foregoing method embodiments.

[0121] Among them, the processor 110 may include one or more processing cores. The processor 110 uses various interfaces and lines to connect various parts within the entire electronic device 100, and by running or executing instructions, programs, code sets, or instruction sets stored in the memory 120, and by calling data stored in the memory 120, it executes various functions of the electronic device 100 and processes data. Optionally, the processor 110 may be implemented in at least one hardware form of digital signal processing (DSP), field-programmable gate array (FPGA), or programmable logic array (PLA). The processor 110 may integrate one or several combinations of a central processing unit (CPU), a graphics processing unit (GPU), and a modem, etc. Among them, the CPU mainly processes the operating system, user interface, application programs, etc.; the GPU is responsible for rendering and drawing the content to be displayed; the modem is used to process wireless communication. It can be understood that the above-mentioned modem may not be integrated into the processor 110 and may be implemented separately through a communication chip.

[0122] The memory 120 may include random access memory (RAM), and may also include read-only memory. The memory 120 can be used to store instructions, programs, codes, code sets, or instruction sets. The memory 120 may include a program storage area and a data storage area. Among them, the program storage area may store instructions for implementing the operating system, instructions for implementing at least one function (such as touch function, sound playback function, image playback function, etc.), instructions for implementing the following various method embodiments, etc. The data storage area may also store data created during the use of the electronic device 100 (such as phone book, audio and video data, chat record data, etc.).

[0123] Please refer to Figure 9, which shows a structural block diagram of a computer-readable storage medium provided by an embodiment of the present application. Program code is stored in the computer-readable medium 400, and the program code can be called by a processor to execute the method described in the above method embodiment.

[0124] The computer-readable storage medium 400 can be an electronic memory such as a flash memory, EEPROM (electrically erasable programmable read-only memory), EPROM, hard disk, or ROM. Optionally, the computer-readable storage medium 400 includes a non-transitory computer-readable storage medium. The computer-readable storage medium 400 has a storage space for the program code 410 that executes any method step in the above method. These program codes can be read out from or written into one or more computer program products. The program code 410 can be compressed in a suitable form, for example.

[0125] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them; although the present application has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A product recommendation method, characterized in that: The method comprises: Obtain consumption data of target products in the cart; If the consumption data meets the preset conditions, the vehicle model product code corresponding to the vehicle and the target product information of the target product are sent to the cloud; Obtaining recommended product information returned by the cloud based on the vehicle model product code and the target product information, wherein the recommended product information is determined by the cloud based on the target product information from a product information set corresponding to the vehicle model product code, and the product information set is determined in advance based on vehicle configuration information corresponding to the vehicle model product code; Output recommendation information including the recommended product information.

2. The method according to claim 1, characterized in that If the consumption data meets the preset conditions, the vehicle model product code corresponding to the vehicle and the target product information of the target product are sent to the cloud, including: If the consumption data indicates that the remaining amount of the target product is lower than a target threshold, the vehicle model product code corresponding to the vehicle and the target product information of the target product are sent to the cloud.

3. The method according to claim 2, characterized in that If the consumption data indicates that the remaining amount of the target product is lower than a target threshold, the vehicle model product code corresponding to the vehicle and the target product information of the target product are sent to the cloud, including: If the consumption data indicates that the remaining amount of the target product is lower than the target threshold and the consumption speed of the target product is higher than the target speed, the vehicle model product code corresponding to the vehicle and the target product information of the target product are sent to the cloud.

4. The method according to claim 1, characterized in that: Before sending the vehicle model product code corresponding to the vehicle and the target product information of the target product to the cloud, the method further includes: Obtaining a vehicle identification code corresponding to the vehicle; Based on the vehicle identification code, obtain the vehicle model product code corresponding to the vehicle.

5. The method according to claim 1, characterized in that The obtaining of consumption data of the target commodity in the vehicle includes: Obtain consumption data of the target commodity monitored in real time by a vehicle data engine of the vehicle.

6. The method according to any one of claims 1 to 5, characterized in that: After the outputting of the recommendation information including the recommended product information, the method further includes: In response to an operation on the recommended information, displaying a purchase interface corresponding to the recommended product information; In response to a purchase operation in the purchase interface, a purchase request corresponding to the recommended product information is sent to the cloud.

7. A product recommendation method, characterized in that: The method comprises: Receiving a vehicle model product code and target commodity information of a target commodity in the vehicle sent by a vehicle, wherein the vehicle model product code and the target commodity information are sent by the vehicle when it is determined that consumption data of the target commodity meets a preset condition; Determining recommended product information from a product information set corresponding to the vehicle model product code according to the target product information, wherein the product information set is determined in advance according to vehicle configuration information corresponding to the vehicle model product code; The recommended product information is sent to the vehicle so that the vehicle outputs recommendation information including the recommended product information.

8. The method according to claim 7, characterized in that The target product information includes a product type, and determining the recommended product information from a product information set corresponding to the vehicle model product code according to the target product information includes: The commodity information matching the commodity type is obtained from the commodity information set as the recommended commodity information.

9. A commodity recommendation device, characterized in that: The device comprises: The consumption data acquisition module is used to acquire the consumption data of the target product in the vehicle; A vehicle model product code and target commodity information sending module, used for sending the vehicle model product code corresponding to the vehicle and the target commodity information of the target commodity to the cloud if the consumption data meets the preset conditions; A recommended product information acquisition module, used to acquire the recommended product information returned by the cloud according to the vehicle model product code and the target product information, wherein the recommended product information is determined by the cloud according to the target product information from a product information set corresponding to the vehicle model product code, and the product information set is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code; The recommendation information output module is used to output the recommendation information including the recommended product information.

10. A commodity recommendation device, characterized in that: The device comprises: A vehicle model product code and target commodity information receiving module, used to receive a vehicle model product code sent by a vehicle and target commodity information of a target commodity in the vehicle, wherein the vehicle model product code and the target commodity information are sent by the vehicle when it is determined that the consumption data of the target commodity meets a preset condition; A recommended product information determination module, configured to determine recommended product information from a product information set corresponding to the vehicle model product code according to the target product information, wherein the product information set is determined in advance according to the vehicle configuration information corresponding to the vehicle model product code; The recommended product information sending module is used to send the recommended product information to the vehicle so that the vehicle outputs recommendation information including the recommended product information.

11. An electronic device, characterized in that: include: one or more processors; Memory; One or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs are configured to execute the method according to any one of claims 1-8.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores program codes, which can be called by a processor to execute the method according to any one of claims 1 to 8.

Images