Intelligent display system and method based on cloud platform

Abstract

The present invention belongs to the field of computer technology. A cloud platform-based intelligent display system and method are provided. The method includes: obtaining the user type of the visiting user and the target product that needs to be visited, and determining a set of target display image data corresponding to the target product according to the user type and the type attribute of the target product; obtaining the historical access data of the visiting user, and determining the display sequence number of each target display image data; determining the display size of the display device of the visiting user, and determining according to the display size that several target display image data with a front display sequence number are used as the first display image, and other target display image data are used as the standby display image. When determining the display method of the target product, the solution of the present invention does not adopt a fixed display method, but automatically and dynamically determines the appropriate display method according to the characteristics of the buyer and the product itself, thereby providing buyers with a better product viewing experience, which helps to increase the probability of product transactions.

Description

Technical Field

[0001] The present invention relates to the field of computer technology, and in particular to a cloud platform-based intelligent display system and method. Background Art

[0002] With the advancement of technology, more and more products are being displayed online. For example, product images are imported into a display system based on a cloud platform. Buyers can gain a comprehensive understanding of the products by viewing the display pictures of the products online, which helps to facilitate transactions.

[0003] However, the existing cloud platform-based display system has a fixed way of displaying goods and relies on the staff's preset display rules. It cannot automatically and dynamically determine the display method based on the characteristics of buyers and goods themselves, resulting in poor display effects of goods. Summary of the invention

[0004] In response to the above technical problems, the present invention provides a cloud platform-based intelligent display method, system, electronic device, computer storage medium and computer program product.

[0005] The present invention discloses an intelligent display method based on a cloud platform, the method comprising the following steps: obtaining a user type of a visiting user and a target product to be visited, and determining a group of target display image data corresponding to the target product according to the user type and the type attributes of the target product; obtaining historical access data of the visiting user, and determining a display sequence number of each target display image data according to the historical access data; determining a display size of a display device of the visiting user, and determining according to the display size a number of target display image data with a front display sequence number as first display images, and other target display image data as standby display images; wherein the first display image is in a visible state when the visiting user enters a display page of the target product, and the standby display image is in a non-visible state when the visiting user enters a display page of the target product, and is switched to a visible state in response to an access operation instruction of the visiting user.

[0006] Optionally, before determining a group of target display image data corresponding to the target product based on the user type and the type attributes of the target product, the method also includes: judging whether the user type of the visiting user is a non-preset type; wherein the non-preset type is a non-registered user; if the user type of the visiting user is a non-preset type, a decision is made to enter a normal display mode, otherwise a decision is made to enter a smart display mode; wherein, when the decision is made to enter the smart display mode, a trigger is triggered to determine a group of target display image data corresponding to the target product based on the user type and the type attributes of the target product.

[0007] Optionally, determining a group of target display image data corresponding to the target commodity according to the user type and the type attribute of the target commodity includes: determining a number of display image data according to the user type, specifically: if the user type is a wholesale buyer, screening a number of first-type display image data; if the user type is an individual buyer, screening a number of first-type display image data and a number of second-type display image data; wherein the first-type display image data is image data provided by the seller of the target commodity, and the second-type display image data is image data provided by the buyer of the target commodity; determining the aspect ratio of the target commodity according to the type attribute of the target commodity, and when the aspect ratio of the target commodity is within a preset range, generating three-dimensional dynamic display image data according to the number of the first-type display image data of the target commodity; the number of display image data and the three-dimensional dynamic display image data are the target display image data.

[0008] Optionally, determining the display serial number of each target display image data according to the historical access data includes: judging whether the target display image data includes the second type display image data; if not, obtaining the average viewing time of the visiting user for the image data from different display perspectives according to the historical access data, and determining the display serial number of the target display image data of the corresponding display perspective according to the average viewing time; wherein, the longer the average viewing time, the smaller the corresponding display serial number; if included, analyzing the historical access data of the visiting customer using a reference timing analysis model based on a large model to obtain the minimum display serial number of the second type display image data; and, if the target display image data also includes the three-dimensional dynamic display image data, setting the display serial number of the three-dimensional dynamic display image data to 1.

[0009] Optionally, the use of a large model-based reference timing analysis model to analyze the historical access data of the visiting customer to obtain a minimum display serial number for the second type of display image data includes: inputting the historical access data of the visiting customer into the reference timing analysis model, and the reference timing analysis model outputting a preliminary minimum display serial number; wherein the historical access data includes the time length from the visiting customer entering the display page of other products to viewing their second type of display image data; using big data comparison and analysis technology to evaluate and obtain a freshness index of the target product, and revising the preliminary minimum display serial number according to the freshness index to obtain the final minimum display serial number.

[0010] Optionally, the three-dimensional dynamic display image data can be operated by the accessing user.

[0011] The present invention also discloses an intelligent display system based on a cloud platform, the system includes a processing device and a storage device, the computer code stored in the storage device is called and executed by the processing device to implement the following steps: obtaining the user type of the visiting user and the target product to be visited, and determining a group of target display image data corresponding to the target product according to the user type and the type attributes of the target product; obtaining the historical access data of the visiting user, and determining the display sequence number of each target display image data according to the historical access data; determining the display size of the display device of the visiting user, and determining according to the display size that several target display image data with a front display sequence number are used as the first display image, and the other target display image data are used as the standby display images; wherein the first display image is in a visible state when the visiting user enters the display page of the target product, and the standby display image is in a non-visible state when the visiting user enters the display page of the target product, and is switched to a visible state in response to the access operation instruction of the visiting user.

[0012] The present invention also discloses an electronic device, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement any of the above methods.

[0013] The present invention also discloses a computer storage medium, wherein the computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement any of the above methods.

[0014] The present invention also discloses a computer program product, which includes computer codes. When the computer codes are executed by a processor of an electronic device, any of the above methods is implemented.

[0015] The solution of the present invention does not adopt a fixed display method when determining the display method of the target product, but automatically and dynamically determines the appropriate display method according to the characteristics of the buyer and the product itself, thereby providing the buyer with a better product viewing experience, which helps to increase the probability of product transactions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1It is a flow chart of a cloud platform-based intelligent display method disclosed in an embodiment of the present invention.

[0018] Figure 2 It is a schematic diagram of the display order of each target display image data in the display device disclosed in the embodiment of the present invention.

[0019] Figure 3 It is a structural schematic diagram of a cloud platform-based intelligent display system disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0020] The following is a description of the implementation of the present application by specific specific embodiments. People familiar with the technology can easily understand other advantages and effects of the present application from the contents disclosed in this specification. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in the field without creative work are within the scope of protection of the present application.

[0021] In addition, the technical features involved in the different embodiments of the present application described below can be combined with each other as long as they do not conflict with each other.

[0022] The existing cloud platform-based display system has a fixed way of displaying goods, and relies on the staff's preset display rules. It cannot automatically and dynamically determine the display method based on the characteristics of buyers and goods themselves, resulting in poor display effects of goods.

[0023] In response to the above technical issues, such as Figure 1 , Figure 2 As shown, an embodiment of the present invention discloses a smart display method based on a cloud platform, and the method includes the following steps: obtaining a user type of a visiting user and a target product to be visited, and determining a group of target display image data corresponding to the target product according to the user type and the type attributes of the target product; obtaining historical access data of the visiting user, and determining a display sequence number of each target display image data according to the historical access data; determining a display size of a display device of the visiting user, and determining according to the display size several target display image data with a front display sequence number as the first display image, and other target display image data as the standby display images; wherein the first display image is in a visible state when the visiting user enters the display page of the target product, and the standby display image is in a non-visible state when the visiting user enters the display page of the target product, and is switched to a visible state in response to an access operation instruction of the visiting user.

[0024] In view of the defect mentioned in the background technology that the existing display system cannot automatically and dynamically determine the display mode according to the characteristics of the buyer and the product itself, the present invention adopts the above-mentioned solution. Specifically, when receiving an access request to the display system from a visiting user, first obtain the user type of the visiting user and the target product to be accessed, and determine a set of target display image data corresponding to the target product according to the user type and the type attribute of the target product. At the same time, the historical access data of the visiting user is also obtained. According to the historical access data, for example, the access habits of the visiting user can be determined, and then the corresponding display serial number is determined for each target display image data. The target display image data with a smaller display serial number will be displayed first. Finally, the display size of the display device of the visiting user is determined, and according to the display size, several target display image data with a front display serial number are determined as the first display image, and other target display image data are used as standby images. It is easy to understand that the larger the display size, the more corresponding first display images, and vice versa.

[0025] It is worth noting that, due to the display size of the display device of the accessing user, it is difficult to display all the target display image data at the same time, so it is necessary to set the first display image and the standby display image. Among them, the first display image is visible when the accessing user enters the display page of the displayed product, while the standby display image is in a non-visible state when the accessing user enters the display page of the displayed product. It switches to a visible state in response to the access operation instruction of the accessing user (such as sliding left or right). Of course, at this time, the original first display images are switched to a non-visible state one by one. In other words, only a fixed number (such as Figure 2 3 images shown) the target display image data can be in a visible state.

[0026] Therefore, when determining the display method of the target product, the solution of the present invention does not adopt a fixed display method, but automatically and dynamically determines the appropriate display method according to the characteristics of the buyer and the product itself, thereby providing the buyer with a better product viewing experience, which helps to increase the probability of product transactions.

[0027] The target product in the present invention can be various types of jewelry, such as rings, necklaces, earrings, ear studs, bracelets, bracelets, etc.

[0028] Optionally, before determining a group of target display image data corresponding to the target product based on the user type and the type attributes of the target product, the method also includes: judging whether the user type of the visiting user is a non-preset type; wherein the non-preset type is a non-registered user; if the user type of the visiting user is a non-preset type, a decision is made to enter a normal display mode, otherwise a decision is made to enter a smart display mode; wherein, when the decision is made to enter the smart display mode, a trigger is triggered to determine a group of target display image data corresponding to the target product based on the user type and the type attributes of the target product.

[0029] In this embodiment, the present invention configures the intelligent display system based on the cloud platform with an intelligent display mode and a normal display mode. Among them, the normal display mode is mainly used to provide a conventional display of goods for non-registered users (i.e., visiting tourists). Conventional display refers to only displaying the display image data of the goods screened and arranged in a preset manner to non-registered users such as visiting tourists. If non-registered users want to view more display image data, they need to manually search and view it in the product details page and user evaluation area. The intelligent display mode is used to provide an intelligent display of goods for registered users (such as individual buyers and corporate buyers). In this intelligent display mode, as soon as the registered user enters the display page of the target product, a special page pops up quickly. The page hides content that is not directly related to the target product, such as the purchase button, related recommendations, and address selection, but only displays each target display image data according to the aforementioned display sequence number to provide registered users with immersive product viewing.

[0030] Optionally, determining a group of target display image data corresponding to the target commodity according to the user type and the type attribute of the target commodity includes: determining a number of display image data according to the user type, specifically: if the user type is a wholesale buyer, screening a number of first-type display image data; if the user type is an individual buyer, screening a number of first-type display image data and a number of second-type display image data; wherein the first-type display image data is image data provided by the seller of the target commodity, and the second-type display image data is image data provided by the buyer of the target commodity; determining the aspect ratio of the target commodity according to the type attribute of the target commodity, and when the aspect ratio of the target commodity is within a preset range, generating three-dimensional dynamic display image data according to the number of the first-type display image data of the target commodity; the number of display image data and the three-dimensional dynamic display image data are the target display image data.

[0031] In this embodiment, the target display image data includes two types of display images, namely static display images and dynamic display images. The specific determination method is: first, according to the user type, it is determined whether the visiting user is a wholesale buyer (such as the aforementioned corporate buyer) or a casual buyer (such as the aforementioned individual buyer). If the visiting user is a wholesale buyer, since the wholesale buyer focuses more on viewing the characteristics of the target product itself, such as shape, color, texture, etc., the attention to the second type of display image data, i.e., the buyer's show image, is relatively low, so it is correspondingly set to only filter the image data provided by the seller of the target product. If the visiting user is a casual buyer, since the casual buyer focuses on viewing the characteristics of the target product itself, such as shape, color, texture, etc., and also needs to focus on referring to the buyer's show images of other buyers, it is correspondingly set to simultaneously filter the first type of display image data and the second type of display image data provided by the seller of the target product. Among them, the first type of display image data provided by the seller is obtained from the home display page and / or the product details page of the target product, and the buyer's show image is obtained from the user evaluation section of the target product, and the buyer's show image with the selected label is preferably obtained.

[0032] At the same time, with the advancement of technology, more and more display systems have begun to use three-dimensional dynamic display images to display goods, which can improve the display effect of goods and help buyers view more details of goods. However, not all goods are suitable for three-dimensional dynamic display. Therefore, the present invention is set to determine the aspect ratio of the target goods according to the type attribute of the target goods, and then decide whether to use the three-dimensional dynamic display method based on the aspect ratio. Specifically: if the aspect ratio of the target goods is within the preset interval, it indicates that the difference between the length and width of the target goods is not large (such as rings, earrings, bracelets, etc.), that is, it is not a long strip. When such goods are displayed as a whole in a three-dimensional dynamic display method, it is easier for buyers to view the local details of the goods when the size of the display page is fixed. At this time, it is set to display in a three-dimensional dynamic display method. Further, the image synthesis processing is performed on the first type of display image data of the target goods selected above, so as to generate three-dimensional dynamic display image data.

[0033] If the length-to-width ratio of the target product is not within the preset range, it means that the difference between the length and width of the target product is too large (such as necklaces, long chain bracelets, etc.), that is, it is a long strip. When such products are displayed as a whole in a three-dimensional dynamic display, it is difficult for buyers to view the local details of the product when the size of the display page is fixed. Therefore, such target products are not suitable for overall display in a three-dimensional dynamic display manner, and three-dimensional dynamic display image data is not generated for the target products.

[0034] The type attribute of the target product includes the type of the target product, such as a ring, a necklace, an earring, an ear stud, a bracelet, a bracelet, etc., and also includes the above-mentioned aspect ratio information.

[0035] Optionally, determining the display serial number of each target display image data according to the historical access data includes: judging whether the target display image data includes the second type display image data; if not, obtaining the average viewing time of the visiting user for the image data from different display perspectives according to the historical access data, and determining the display serial number of the target display image data of the corresponding display perspective according to the average viewing time; wherein, the longer the average viewing time, the smaller the corresponding display serial number; if included, analyzing the historical access data of the visiting customer using a reference timing analysis model based on a large model to obtain the minimum display serial number of the second type display image data; and, if the target display image data also includes the three-dimensional dynamic display image data, setting the display serial number of the three-dimensional dynamic display image data to 1.

[0036] In this embodiment, as described above, the target display image data fixedly includes the first type of display image data provided by the seller of the target product, and optionally includes the second type of display image data and three-dimensional dynamic display image data provided by the buyer of the target product. If there is three-dimensional dynamic display image data, its display sequence number can be set to 1, that is, the three-dimensional dynamic display image data is displayed first.

[0037] If the target display image data only includes the first type of display image data, then the average viewing time of the visiting users for the image data of different display perspectives (front view perspective, side view perspectives of different angles, and rear view perspective) is statistically obtained based on the historical access data of the visiting customers. The longer the average viewing time, the more interested the visiting customers are in the image data of the corresponding display perspective, and vice versa. In this regard, the present invention sets a display sequence number of the target display image data of the corresponding display perspective to be determined according to the average viewing time, that is, the target product in the target display image data is also photographed according to the corresponding display perspective. The longer the average viewing time of the display perspective obtained by the above determination, the smaller the display sequence number of the target display image data is set, that is, it is displayed closer to the front, and vice versa, the larger the display sequence number is, that is, it is displayed closer to the back.

[0038] If the target display image data includes both the first type display image data and the second type display image data, after the buyer has viewed several images of the target product provided by the seller from different display angles, he may not need to continue viewing the remaining first type display image data, but needs to continue viewing the buyer show images of other buyers. In this regard, the present invention uses a reference timing analysis model based on a large model to perform an in-depth analysis on the historical access data of the visiting customer, so as to obtain the minimum display sequence number of the second type display image data suitable for the visiting customer, that is, the display position of the first second type display image data to be displayed. Among them, the second type display image data with the minimum display sequence number is preferably the second type display image data with the highest level of selected tags.

[0039] Of course, after the above-mentioned minimum display serial number, all of them may be buyer show images, that is, the first type of display image data originally having the display serial number may be replaced one by one with buyer show images.

[0040] It is worth noting that the large model involved above, also called the foundation model, refers to a machine learning model with a large number of parameters and complex structure, which can process massive data and complete various complex tasks. These models are usually built with deep neural networks and have billions or even hundreds of billions of parameters. The purpose of designing large models is to improve the expressiveness and predictive performance of the model so that it can handle more complex tasks and data. For example, GPT (such as GPT-3, GPT-4), BERT, etc. The present invention trains the large model using local data to obtain the above-mentioned reference timing analysis model.

[0041] Optionally, the use of a large model-based reference timing analysis model to analyze the historical access data of the visiting customer to obtain a minimum display serial number for the second type of display image data includes: inputting the historical access data of the visiting customer into the reference timing analysis model, and the reference timing analysis model outputting a preliminary minimum display serial number; wherein the historical access data includes the time length from the visiting customer entering the display page of other products to viewing their second type of display image data; using big data comparison and analysis technology to evaluate and obtain a freshness index of the target product, and revising the preliminary minimum display serial number according to the freshness index to obtain the final minimum display serial number.

[0042] In this embodiment, the historical access data of the visiting customer is collected. The historical access data refers to the time from the visiting customer entering the display page of other products to viewing the corresponding second type display image data (i.e., buyer show image). The shorter the time, the more inclined the visiting customer is to refer to the buyer show image to evaluate the purchase "value" of the corresponding product, and the longer the time, the more inclined the visiting customer is to refer to the image provided by the seller of the product to evaluate the purchase "value" of the corresponding product. Therefore, the present invention uses a reference timing analysis model to conduct an in-depth analysis of the above-mentioned viewing timing rules of the second type display image data of the visiting customer, so as to obtain a preliminary minimum display sequence number. The preliminary minimum display sequence number is, for example, 5, that is, the second type display image data is embedded in the 5th display position, for example, the 1st display position is a three-dimensional dynamic display image data, and the 2nd to 4th display positions are the first type display image data of multiple display perspectives. After viewing the images of the 1st to 5th display positions, the visiting user starts to view the second type display image data.

[0043] At the same time, the reference timing analysis model is obtained by training based on the training data constructed based on the viewing time of each visiting user for the second type of display image data. It is only a preliminary minimum display sequence number obtained from the analysis of the buyer's own habits. However, the freshness index of the product itself will also affect the buyer's viewing time. For example, when the product is a new product that has just been launched and there are no similar competing products on the market, the higher the freshness index of the target product is (for example, 2), the present invention is set to use the freshness index to appropriately adjust the preliminary minimum display sequence number backward, for example, from the 5th display position to the 7th display position; when the product is launched earlier and there are many similar competing products on the market, the lower the freshness index of the target product is (for example, -2), the present invention is set to use the freshness index to appropriately adjust the preliminary minimum display sequence number backward, for example, from the 5th display position to the 3rd display position. The reason for this setting is that buyers have less knowledge about new products, so they generally tend to view more first-type display image data provided by sellers to understand the new products, and then view the buyer's show images, and accordingly adjust the display serial number of the second-type display image data appropriately backward; and buyers are more familiar with conventional products, so they tend to view fewer first-type display image data provided by sellers, and tend to view the buyer's show images in advance for reference, and accordingly adjust the display serial number of the second-type display image data appropriately forward.

[0044] Among them, the freshness index of the target product is obtained by using, for example, crawler technology to obtain images of similar products, and then the target product is compared with the images of these similar products to calculate the number of images of similar products with a similarity higher than a similarity threshold, and the number is negatively correlated with the freshness index. In addition, the freshness index is limited to a preset range, which can be determined according to the total number of target display image data.

[0045] Optionally, the three-dimensional dynamic display image data can be operated by the accessing user.

[0046] In this embodiment, the three-dimensional dynamic display image data in the present invention can also be operated, that is, the accessing user can control the three-dimensional dynamic display image data to change its display angle by sliding left or right. As for the three-dimensional dynamic display image data that is not operated, it changes the display angle periodically at a preset speed, and the details are not repeated.

[0047] like Figure 3 As shown, an embodiment of the present invention further discloses an intelligent display system based on a cloud platform, the system comprising a processing device and a storage device, the computer code stored in the storage device is called and executed by the processing device to implement the following steps: obtaining the user type of the visiting user and the target product to be visited, and determining a group of target display image data corresponding to the target product according to the user type and the type attributes of the target product; obtaining the historical access data of the visiting user, and determining the display sequence number of each target display image data according to the historical access data; determining the display size of the display device of the visiting user, and determining according to the display size that several target display image data with a front display sequence number are used as the first display image, and the other target display image data are used as the standby display images; wherein the first display image is in a visible state when the visiting user enters the display page of the target product, and the standby display image is in a non-visible state when the visiting user enters the display page of the target product, and is switched to a visible state in response to the access operation instruction of the visiting user.

[0048] An embodiment of the present invention further discloses an electronic device, comprising: at least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method described in the above embodiment.

[0049] An embodiment of the present invention further discloses a computer storage medium, wherein the computer storage medium stores a computer program, and the computer program is executed by a processor to implement the method described in the above embodiment.

[0050] An embodiment of the present invention further discloses a computer program product, which includes computer code. When the computer code is executed by a processor of an electronic device, the method described in the above embodiment is implemented.

[0051] The computer-readable storage medium described above may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, devices or equipment, or any suitable combination of the above. Alternatively, the computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media may include electrical connections based on one or more lines, portable computer disks, hard disks, random access memories (RAM), read-only memories (ROM), erasable programmable read-only memories (EPROM or flash memory), optical fibers, portable compact disk read-only memories (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination of the above.

[0052] To provide interaction with a user, the systems and techniques described herein may be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or trackball) through which the user can provide input to the electronic device. Other types of devices may also be used to provide interaction with the user; for example, the feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form (including acoustic input, voice input, or tactile input).

[0053] It should be understood that the various forms of processes shown above can be used to reorder, add or delete steps. For example, the steps described in the present invention can be executed in parallel, sequentially or in different orders, as long as the desired results of the technical solution of the present invention can be achieved, and this document does not limit this.

[0054] The above specific implementations do not constitute a limitation on the protection scope of the present invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions can be made according to design requirements and other factors. Any modification, equivalent substitution and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent display method based on a cloud platform, characterized in that: include: The user type of the accessing user and the target product to be accessed are obtained, and a set of target display image data corresponding to the target product is determined according to the user type and the type attribute of the target product, including: Determine and obtain a number of display image data according to the user type, specifically: if the user type is a wholesale buyer, select a number of first-type display image data; if the user type is an individual buyer, select a number of first-type display image data and a number of second-type display image data; the first-type display image data is image data provided by the seller of the target product, and the second-type display image data is image data provided by the buyer of the target product; determine and obtain the aspect ratio of the target product according to the type attribute of the target product, and when the aspect ratio of the target product is within a preset range, generate three-dimensional dynamic display image data according to the number of first-type display image data of the target product; the number of display image data and the three-dimensional dynamic display image data are the target display image data; the first-type display image data is obtained from the home display page and / or the product details page of the target product, and the second-type display image data is obtained from the user evaluation section of the target product; Obtain historical access data of visiting users, and determine the display sequence number of each target display image data according to the historical access data; Determine the display size of the display device of the visiting user, determine according to the display size a number of target display image data with a front display sequence number as the first display image, and other target display image data as the standby display image; the first display image is in a visible state when the visiting user enters the display page of the target product, and the standby display image is in a non-visible state when the visiting user enters the display page of the target product, and is switched to a visible state in response to an access operation instruction of the visiting user; Determining the display sequence number of each target display image data according to the historical access data, including: judging whether the target display image data includes the second type of display image data; if not, obtaining the average viewing time of the visiting user for the image data of different display perspectives according to the historical access data statistics, and determining the display sequence number of the target display image data of the corresponding display perspective according to the average viewing time; wherein, the longer the average viewing time, the smaller the corresponding display sequence number; if included, analyzing the historical access data of the visiting customer using a reference timing analysis model based on a large model to obtain the minimum display sequence number of the second type of display image data; and, if the target display image data also includes three-dimensional dynamic display image data, setting the display sequence number of the three-dimensional dynamic display image data to 1; A reference timing analysis model based on a large model is used to analyze the historical access data of visiting customers to obtain a minimum display serial number for second-type display image data, including: inputting the historical access data of visiting customers into the reference timing analysis model, and the reference timing analysis model outputs a preliminary minimum display serial number; wherein the historical access data includes the time length from when the visiting customer enters the display page of other products to when he or she views the second-type display image data; using big data comparison and analysis technology to evaluate and obtain a freshness index of the target product, and revising the preliminary minimum display serial number according to the freshness index to obtain a final minimum display serial number.

2. The cloud platform-based intelligent display method according to claim 1, characterized in that: Before determining a group of target display image data corresponding to the target product according to the user type and the type attributes of the target product, the method also includes: judging whether the user type of the visiting user is a non-preset type; wherein the non-preset type is a non-registered user; if the user type of the visiting user is a non-preset type, a decision is made to enter a normal display mode, otherwise a decision is made to enter a smart display mode; wherein, when the decision is made to enter the smart display mode, a trigger is triggered to determine a group of target display image data corresponding to the target product according to the user type and the type attributes of the target product.

3. The intelligent display method based on a cloud platform according to claim 1, characterized in that: The three-dimensional dynamic display image data can be operated by the accessing user.

4. A cloud platform-based intelligent display system, the system is based on the method according to any one of claims 1 to 3, the system comprises a processing device and a storage device, and is characterized in that: The computer code stored in the storage device is called and executed by the processing device to implement the following steps: obtaining the user type of the accessing user and the target product to be accessed, and determining a set of target display image data corresponding to the target product according to the user type and the type attributes of the target product; Acquire the historical access data of the access user, and determine the display sequence number of each target display image data according to the historical access data; Determine the display size of the display device of the visiting user, and determine, based on the display size, several target display image data with earlier display numbers as first-display images, and other target display image data as standby images; wherein the first-display images are in a visible state when the visiting user enters the display page of the target product, and the standby images are in a non-visible state when the visiting user enters the display page of the target product, and are switched to a visible state in response to the access operation instruction of the visiting user.

5. An electronic device comprising: At least one processor, a memory, and a computer program stored in the memory and executable on the at least one processor, wherein the processor executes the computer program to implement the method according to any one of claims 1 to 3.

6. A computer storage medium storing a computer program, characterized in that: The computer program is executed by a processor to implement the method according to any one of claims 1 to 3.

7. A computer program product, characterized in that: The computer program product includes computer codes, and when the computer codes are executed by a processor of an electronic device, the method according to any one of claims 1 to 3 is implemented.

Images