Data processing method

Abstract

The invention provides a data processing method, and the method comprises the steps: displaying a commodity detail page of a target commodity, the commodity detail page comprises the target media content of a matched commodity of the target commodity, and the target media content is determined based on the target publishing content; the target release content is determined according to the target commodity; and in response to a trigger operation for the target media content, displaying an information browsing page of the matched commodity. According to the method, merchants do not need to recommend configuration, so that configuration resources of the merchants are saved; meanwhile, published content resources of the content application platform are fully utilized, target published content and matched commodities are organically combined, and the scenarized extension requirement when a user browses a single commodity is met. The browsing depth of the user on the content application platform is enriched, and the use experience of the user is improved.

Description

Technical Field

[0001] This specification relates to the field of Internet technology, and particularly to data processing methods. This specification also relates to a data processing apparatus, a computing device, a computer-readable storage medium, and a computer program product. Background Technology

[0002] With the development of internet technology, online shopping has become a trend. When listing products, merchants often offer recommended bundled items for users to choose from in order to boost sales. However, such bundled recommendations heavily rely on the merchants' independent operation, requiring them to set up the bundled information and products themselves. This results in low coverage of bundled product scenarios and poor effectiveness of product bundling recommendations. Summary of the Invention

[0003] In view of the above, one or more embodiments of this specification provide a data processing method. One or more embodiments of this specification also relate to a data processing apparatus, a computing device, a computer-readable storage medium, and a computer program product, to address the aforementioned problems existing in the prior art.

[0004] According to a first aspect of this specification, a data processing method is provided, comprising: Display the product details page of the target product, wherein the product details page includes the target media content of the target product's complementary products, the target media content is determined based on the target published content, and the target published content is determined based on the target product; In response to a triggered operation on the target media content, an information browsing page for the accompanying products is displayed.

[0005] According to a second aspect of this specification, a data processing method is provided, comprising: Display the product details page of the target product, wherein the product details page includes target media content of the target product's complementary products, and the target media content is determined based on the target product and at least one preset reference dimension; In response to a triggered operation on the target media content, an information browsing page for the accompanying products is displayed.

[0006] According to a third aspect of this specification, a data processing method is provided, comprising: Receive access requests from the target account for the product details page corresponding to the target product; Obtain the account preference information corresponding to the target account, and obtain the target published content corresponding to the target product; Initial media content for the target product is generated based on the target published content; Based on the account preference information, the target media content corresponding to the target account is determined from the initial media content; The target media content is added to the product details page and sent to the target account.

[0007] According to the fourth aspect of this specification, a data processing method is provided, comprising: Receive access requests from the target account for the product details page corresponding to the target product; Obtain the account preference information corresponding to the target account, and obtain the product attribute information corresponding to the target product; The initial media content is determined based on the product attribute information and at least one preset reference dimension; Based on the account preference information, the target media content corresponding to the target account is determined from the initial media content; The target media content is added to the product details page and sent to the target account.

[0008] According to a fifth aspect of this specification, a computing device is provided, comprising: Memory and processor; The memory is used to store computer programs / instructions, and the processor is used to execute the computer programs / instructions, which, when executed by the processor, implement the steps of the above method.

[0009] According to a sixth aspect of this specification, a computer-readable storage medium is provided that stores a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0010] According to a seventh aspect of this specification, a computer program product is provided, comprising a computer program / instructions that, when executed by a processor, implement the steps of the above-described method.

[0011] This specification provides a data processing method according to one or more embodiments, comprising displaying a product details page of a target product, wherein the product details page includes target media content of complementary products of the target product, the target media content being determined based on target published content, and the target published content being determined according to the target product; and displaying an information browsing page of the complementary products in response to a triggering operation on the target media content.

[0012] This specification provides one or more embodiments that generate target media content for complementary products based on published content for a target product on a content application platform, and display this target media content to the user, providing recommendations. In this process, merchants do not need to configure recommendations, saving their configuration resources; at the same time, it fully utilizes the published content resources of the content application platform, organically combining the target published content with complementary products, meeting the user's contextualized extension needs when browsing individual products. This enriches the user's browsing depth on the content application platform and enhances the user experience. Attached Figure Description

[0013] Figure 1 This is a flowchart illustrating a data processing method provided in one embodiment of this specification; Figure 2 This is a schematic diagram of a product details page provided in one embodiment of this specification; Figure 3a This is a schematic diagram illustrating a page redirection from a content recommendation page to a product details page, provided in one embodiment of this specification. Figure 3b This is a schematic diagram illustrating page redirection from a product marketplace page to a product details page, provided in one embodiment of this specification. Figure 3c This is a schematic diagram illustrating page redirection from a live streaming page to a product details page, provided in one embodiment of this specification. Figure 4a This is a schematic diagram illustrating the display of recommended prompts according to one embodiment of this specification; Figure 4b This is a schematic diagram illustrating another embodiment of the display of recommendation prompts provided in this specification; Figure 5 This is a schematic diagram illustrating the page switching of the media content display area in a product details page according to one embodiment of this specification; Figure 6 This is a schematic diagram of page redirection for entering the browsing page of corresponding product information provided in one embodiment of this specification; Figure 7 This is a flowchart of another data processing method provided in one embodiment of this specification; Figure 8 This is a schematic diagram illustrating the generation of initial media content based on target published content, provided by one embodiment of this specification. Figure 9 This is a flowchart of another data processing method provided in one embodiment of this specification; Figure 10 This is a page illustration of the product details page of the target product provided in one embodiment of this specification and another embodiment; Figure 11 This is a schematic diagram of page switching for an information browsing page provided in one embodiment of this specification; Figure 12 This is a flowchart of yet another data processing method provided in one embodiment of this specification; Figure 13 This is a schematic diagram illustrating the generation of initial media content based on a preset reference dimension, provided by one embodiment of this specification. Figure 14 This is a schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification; Figure 15 This is a schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification; Figure 16 This is a schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification; Figure 17 This is a schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification; Figure 18 This is a flow chart of one or more embodiments of a data processing method applied to a shopping platform, as provided in this specification. Figure 19 This is a flow chart of another data processing method applied to a shopping platform provided by one or more embodiments of this specification; Figure 20 This is a structural block diagram of a computing device provided in one or more embodiments of this specification. Detailed Implementation

[0014] Numerous specific details are set forth in the following description to provide a thorough understanding of one or more embodiments of this specification. However, one or more embodiments of this specification can be implemented in many other ways different from those described herein, and those skilled in the art can make similar extensions without departing from the spirit of one or more embodiments of this specification. Therefore, one or more embodiments of this specification are not limited to the specific implementations disclosed below.

[0015] The terminology used in one or more embodiments of this specification is for the purpose of describing particular embodiments only and is not intended to be limiting of the one or more embodiments of this specification. The singular forms “a,” “described,” and “the” as used in one or more embodiments of this specification and the appended claims are also intended to include the plural forms unless the context clearly indicates otherwise. It should also be understood that the term “and / or” as used in one or more embodiments of this specification refers to and includes any or all possible combinations of one or more associated listed items.

[0016] It should be understood that although the terms first, second, etc., may be used to describe various information in one or more embodiments of this specification, such information should not be limited to these terms. These terms are only used to distinguish information of the same type from one another. For example, first may also be referred to as second without departing from the scope of one or more embodiments of this specification, and similarly, second may also be referred to as first. Depending on the context, the word "if" as used herein may be interpreted as "when," "when," or "in response to a determination."

[0017] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in one or more embodiments of this specification are all information and data authorized by the user or fully authorized by all parties. Furthermore, the collection, use and processing of related data must comply with the relevant laws, regulations and standards of the relevant regions, and corresponding operation entry points are provided for users to choose to authorize or refuse.

[0018] First, the terms and concepts used in one or more embodiments of this specification will be explained.

[0019] Content Application Platform: This is an application platform that integrates various types of content. The content application platform provides users with a rich variety of multimedia content, including but not limited to live streaming, on-demand video, audio, text and image information, social interaction, shopping, etc.

[0020] Published Content: This refers to the content service provided to the content application platform. Published content consists of any content pre-published by the recommending account on the platform. For example, the published content could be a product recommendation note published by the recommending account on the content application platform. This product recommendation note can include product images, videos, descriptions, product advantages and disadvantages, etc. The product recommendation note can be text and image content, text information, videos, etc. The content platform's server stores the published content from each recommending account and sends it to browsing accounts on the content platform through a content distribution algorithm deployed on the server.

[0021] "Responding to": "Responding to" generally refers to a reaction or response to a situation, problem, request, or event. In the technical field, it can refer to a system's reaction to input information or events. It can be understood as the system or software's perception and recognition of user input or operations, and the resulting corresponding actions or behaviors.

[0022] Triggered actions refer to actions such as clicking, swiping, or other interactive methods on content application platforms, published content, live streaming pages, and other display interfaces. These actions can trigger corresponding events and display the page or information associated with the triggered action. For example, clicking the recommendation information block on a product details page can display a list of recommended accounts.

[0023] Controls are objects in forms, reports, or data access pages used to display data, perform operations, or serve as decoration. They are integral parts of software; for example, tables, reports, and network communication elements frequently used in software can all directly utilize controls.

[0024] Product details page: also known as the product details page, is a page used to display basic product information, reviews, content recommendations, etc.

[0025] Main product: The core product corresponding to the product details page that the user is currently browsing.

[0026] When users browse a product detail page on a content application platform, they may be interested in the product but unsure how to style it, or have concerns about its styling options. Based on this, some e-commerce platforms have launched product pairing recommendation services, providing users with suggested combinations for the main product on the product detail page. However, traditional e-commerce platform product pairing recommendations have two major limitations: 1. It heavily relies on merchants' independent operation, requiring them to configure the matching information and related products for their main products. This leads to slow supply coverage and limited product scenarios, which is particularly disadvantageous for some vertical sectors or small and medium-sized businesses. For example, merchants who only sell pants cannot effectively set up matching information for them. Or, for some small and medium-sized businesses that sell a limited range of products, it is also difficult to provide effective matching recommendations.

[0027] 2. When merchants create their own product combinations, they typically limit themselves to recommending combinations of similar items. This means that the recommended combinations provided by merchants usually come from their own stores. While this can prevent traffic from flowing to other stores, it also limits the richness of the product combinations and the professionalism of the pairings.

[0028] Based on this, one or more embodiments of this specification provide a data processing method. One or more embodiments of this specification also relate to a data processing apparatus, a computing device, a computer-readable storage medium, and a computer program product, which will be described in detail in the following embodiments.

[0029] Figure 1 A flowchart of a data processing method according to one or more embodiments of this specification is shown, specifically including the following steps: Step 102: Display the product details page of the target product, wherein the product details page includes the target media content of the target product's complementary products, the target media content is determined based on the target published content, and the target published content is determined based on the target product.

[0030] The data processing method provided in one or more embodiments of this specification is applied to a content application platform, enabling users to learn about complementary products corresponding to the target product through the target media content of the complementary products on the product details page of the target product when shopping on the content application platform.

[0031] It should be noted that the data processing method provided in this embodiment is applied to a client, where the client is a terminal device held by a user with a need to purchase goods, including but not limited to mobile phones, computers, smart wearable devices, etc., which are not limited in this embodiment. Specifically, in one or more embodiments of this specification, the target product can be understood as the product that the user currently holding the client wants to browse, which can be clothing, cosmetics, electronic products, daily necessities, etc.

[0032] In the methods provided in the embodiments of this specification, the target media content corresponding to the target product is determined based on the target published content. The target published content can be understood as content about the target product published on a content application platform. For example, the target media content can be an image in the body of a note or an image in the note's comment information. In another specific embodiment provided in the embodiments of this specification, the target media content can also be content that has been adaptively adjusted based on the media content information in the target published content. In yet another specific embodiment provided in this specification, the target media content can also be the media content of the associated product corresponding to the content described in the target published content.

[0033] It's important to note that target content can be content posted specifically for the target product, such as the text of a note or images in a note's comments; it can also be content posted for similar products, such as notes or comments related to similar products with a similarity greater than a preset threshold. For example, if the product details page is for yellow sweater A, then yellow sweater A is the main product on the details page, i.e., the target product. The content application platform can search for target content related to yellow sweater A. This target content can include styling notes, user reviews, and image-based evaluations of yellow sweater A. Additionally, target content can also include related posts for yellow sweater B, which is similar to yellow sweater A. In practical applications, target content can also include text descriptions related to the target product. For example, the similarity between the description of a product in target content and the product image of the target product is greater than a preset threshold. Target content can also be related to posts on the target product. From the target content, you can filter out styling images or notes with relevant preset keywords, or styling suggestions for the target product in note comments.

[0034] In the methods provided in the embodiments of this specification, "matching goods" can be understood as goods that can be paired with the target product as a complete set. For example, taking a top as the target product, matching goods could be pants, scarves, hats, backpacks, etc. "Target media content" can be understood as including images, text, videos, etc., of at least one of the target product and matching goods.

[0035] In one or more specific embodiments provided in this specification, the target media content specifically refers to that determined by the target published content. In one embodiment, the target media content may be image information in the target published content. In another embodiment, the target media content may also be image information generated by processing a multimodal large language model based on the text description in the target published content. In yet another specific embodiment, the target media content includes images and text information, wherein the images are determined based on image information in the target published content, and the text information is generated by summarizing the text content in the target published content. In yet another specific embodiment, the target media content may also be a corresponding video segment in the target media content, and so on. In practical applications, the specific display format of the target media content is not limited.

[0036] In one specific embodiment provided in this specification, the target content to be published can be determined in real time from the content application platform based on the target product; that is, the target content to be published is obtained in real time each time the product details page of the target product is accessed. Alternatively, the server can obtain content published within a preset time interval; this specification does not limit this to either approach.

[0037] It is important to note that in one or more specific embodiments of this specification, the target media content is specifically determined based on the target published content, which in turn is determined based on the target product. In other words, in one or more specific embodiments provided in this specification, the complementary product corresponding to the target product is determined through the target published content. For example, if a target published content includes images and text descriptions of an outfit consisting of a top and jeans, and the target product is a top, then the jeans can be identified as the complementary product based on the target published content. The target media content consists of the outfit images in the target published content, as well as the outfit description generated from the text description.

[0038] In one specific embodiment provided in the embodiments of this specification, the method further includes: The products being sold and the target product may belong to the same store or different stores.

[0039] In this embodiment, the complementary products for the target product are further determined through the target published content. The target published content is posted to the content application platform by a content publisher. When creating and sharing content, the content publisher may select products from the same store or from different stores. Therefore, the complementary products for the target product may come from the same store or different stores. By using the target published content as a carrier, the complementary products for the target product can transcend store limitations and can be combined and matched from multiple stores on the platform, improving the user's styling experience.

[0040] For example, a content creator might purchase a top from store 1, a scarf from store 2, and pants from store 3, and then publish targeted content about the top, scarf, and pants. When someone browses the top's product details page, targeted media content that pairs the top with the scarf and pants can be displayed on that page. This targeted media content can be determined based on the content creator's initial targeted content. Users can see the matching images of the top, scarf, and pants posted by the content creator on the product details page, allowing them to decide whether to make a purchase. This approach provides users with richer styling suggestions and transcends the limitations of individual stores, offering product recommendations across the entire platform. This improves the user experience and promotes store sales.

[0041] See Figure 2 , Figure 2 This specification shows a schematic diagram of a product details page provided in one embodiment, such as... Figure 2 As shown, the product details page includes a media content display area, which contains multiple categories such as images, videos, sizes, and outfit inspiration. The outfit inspiration category displays target media content for complementary items to the target product. This target media content can include images of the target product and complementary items, images of the target product, images of complementary items, styling materials, etc. When the user clicks... Figure 2 When using the inspiration pairing control, the target media content for paired products can be displayed. The media content display area on the product details page includes category controls, and the target media content for paired products is displayed in the corresponding tab of the pairing recommendation control.

[0042] like Figure 2 As shown, the product details page also includes transaction controls corresponding to the target product, such as "Add to Cart," "Buy Now," etc., as well as textual descriptions of the target product, product reviews, and promotional information. The methods provided in this manual do not limit the other content information on the product details page; the actual application shall prevail.

[0043] In one specific embodiment provided in this specification, the methods for accessing the product details page of the target product include the following: Displays a product showcase page including multiple items; responds to a triggered action on the target product, displays the target product's details page; or, Display the search page; in response to a search operation targeting a specific product, display the search results for that product; and based on the selection action made on the search results, display the product details page for that product; or, Display the live stream page, and in response to the selection of a target product on the live stream page, display the product details page of the target product.

[0044] The product display page can be a product marketplace page on a content application platform, or a content recommendation page. In the methods provided in the embodiments of this specification, the display logic of the product display page is not limited; it can simply display products. See also... Figure 3a , Figure 3a This specification illustrates a page redirection diagram showing how a user enters a product details page from a content recommendation page, as provided in one embodiment of this specification. Figure 3a (1) shows the content recommendation page of a certain account. This content recommendation page includes multiple posts published by the account, which are used to recommend products. When a user selects a product from the content recommendation page as the target product, the product details page of the target product is displayed as shown in (2) in response to the selection operation. Then, clicking the "Inspiration Outfit" tab in the media content display area of ​​(2) will display the target media content corresponding to the matching product as shown in (3).

[0045] See Figure 3b , Figure 3b This specification illustrates a page redirection diagram from a product marketplace page to a product details page, as provided in one embodiment. Figure 3b As shown in (1), users can browse the product marketplace of the content application platform, search for products they are interested in, and after identifying the target product, they can click on the target product to enter the product details page, i.e., enter the product details page. Figure 3b The product details page shown in (2) will then display the target media content corresponding to the matching products, as shown in (3).

[0046] See Figure 3c , Figure 3c This specification illustrates a page redirection diagram of accessing a product details page from a live streaming page, as provided in one embodiment. Figure 3cAs shown, when a user is watching a live stream and becomes interested in a specific product, they can access the product details page by selecting that product within the live stream. Figure 3c As shown in (1), users can watch the host's live stream in the live stream room, and click the transaction entry control of the target product in the product prompt card in the live stream room to enter the transaction entry. Figure 3c The product details page shown in (3) is also accessible to users in the live stream. Figure 3c The product list control shown in (1) enters... Figure 3c (2) On the product list page, select the target product you are interested in and click the transaction entry for the target product to enter the transaction page. Figure 3c The product details page shown in (3). Click again. Figure 3c The “Inspiration Outfit” tab in the media content display area of ​​(3) will display the target media content corresponding to the matching products as shown in (4).

[0047] In the method provided in the embodiments of this specification, the target media content of the product details page is displayed in the following manner: Display recommended suggestions for the target media content; and, in response to a triggering operation based on the recommended suggestions, display the target media content; or, In response to a switching operation on the media content display area, the target media content is displayed, wherein the media content display area includes the media content of the target product and the media content of the accompanying product.

[0048] Recommended prompts can be understood as notification messages targeting specific media content. In practice, these prompts can take the form of pop-up notifications, bubble notifications, etc. By triggering the recommended prompt, the target media content can be displayed.

[0049] See Figure 4a , Figure 4a This specification illustrates a schematic diagram of a display of recommended prompts provided in one embodiment, such as... Figure 4a As shown in (1), when a user enters the product details page of a target product, the media content display area typically defaults to displaying the image category, i.e., displaying the product image information of the target product. In the method provided in the embodiments of this specification, recommendation prompts can be displayed by showing bubble prompts. For example... Figure 4a As shown in (2), recommended information is displayed in the outfit inspiration section. Users can click on this recommended information to display the target media content for matching items. This allows users to... Figure 4a Enter the page shown in (2) Figure 2 The page shown.

[0050] Additionally, see Figure 4b , Figure 4b This specification illustrates another schematic diagram of displaying recommended prompts according to an embodiment, such as... Figure 4b As shown in (1), when a user enters the product details page of a target product, the media content display area typically defaults to displaying the image category, i.e., displaying the product image information of the target product. In the method provided in the embodiments of this specification, recommended prompts can be displayed via pop-up windows. For example... Figure 4b As shown in (2), a pop-up window is displayed on the product details page to provide users with recommended information. Users can click on the pop-up window to view the target media content that is paired with the product. Figure 4b Enter the page shown in (2) Figure 2 The page shown.

[0051] In another specific embodiment provided in this specification, different category labels within the media content display area can also be switched to display content such as... Figure 2 The product details page shown. See also... Figure 5 , Figure 5 This diagram illustrates a page switching pattern in the media content display area of ​​a product details page according to an embodiment of this specification. For example... Figure 5 As shown, when you navigate to the product details page of the target product from another page, it will display as follows. Figure 5 The page shown in (1) includes a media content display area in the product details page. The media content display area includes multiple categories, such as pictures, videos, sizes, and outfit inspiration. The media content display area displays the media content of the target product, such as pictures, videos, sizes, etc. of the target product. The media content display area can also display the media content of matching products. Figure 5 The media content display area shown in page (1) displays the product image corresponding to the target product.

[0052] Users can switch categories within the media content display area. For example, swiping left once within the media content display area will take them to a different category. Figure 5 The page shown in (2) is as follows: Figure 5 The page shown in (2) displays the product video corresponding to the target product. In such a case... Figure 5 In the page shown in (2), if the user swipes right, they will return to the page shown in (2). Figure 5 As shown in page (1), if the user swipes left, they will enter a page like... Figure 5 The page shown in (3) is as follows: Figure 5The page shown in (3) displays the size information corresponding to the target product. Users can also continue to swipe left to enter, as shown in (3). Figure 5 The page shown in (4) is as follows: Figure 5 The page shown in (4) displays the target media content of the target product and the corresponding matching products.

[0053] The methods provided in the embodiments of this specification offer various specific implementations for displaying target media content. In practical applications, there may be other specific implementations for displaying target media content. The specific implementations are subject to the actual applications and will not be elaborated here.

[0054] In one specific embodiment provided in this specification, if a user has a strong desire to purchase a target product, they will directly make a purchase after entering the product details page. However, some users may like the product but are unsure how to style it, thus hesitating to buy it. For users who are hesitant, recommended suggestions can be displayed, providing them with relevant styling information and reference information to aid their decision-making.

[0055] Therefore, the recommendation prompts for the target media content do not need to be displayed immediately upon entering the product details page of the target product. These prompts can be triggered based on at least one of the following: Detect the current account's behavior information on the product details page, and if the behavior information meets preset recommendation criteria, display recommendation prompts for the target media content; or, The display duration of the product details page is detected. If the display duration exceeds a preset duration threshold, recommended prompts for the target media content are displayed.

[0056] Here, the current account can be understood as the account logged into the content application platform using the current client. The terminal can detect the current account's behavioral information on the product details page, and based on this behavioral information, predict the user's psychological state. If the behavioral information determines that the user meets preset recommendation criteria, it can display recommendation prompts for the target media content. This behavioral information can include the current account's interactive actions on the product details page, such as clicking on comments, product descriptions, product recommendations, similar product pages, page scrolling speed, etc. This behavioral information is used to determine whether the user is hesitant to purchase the target product.

[0057] For example, if an account repeatedly clicks on the comments section and browses similar products after entering the product details page, it can be determined that the account is hesitant about purchasing. Similarly, if the account scrolls slowly through the product details page, it can also indicate hesitation. Furthermore, if the account quickly adds the item to the cart after entering the details page, it suggests a decision to purchase the product. Finally, if the account quickly clicks the back button after entering the details page, it can be assumed that the account is not interested in the product.

[0058] Based on this, if the behavior information of the current account on the product details page meets the preset recommendation conditions, it can be predicted that the current account is still hesitant about whether to purchase the target product. In this case, a recommendation prompt message for the target media content is displayed to inform the user of the recommended pairing information for the target product, thereby providing a reference for the current account.

[0059] In another specific embodiment provided in this specification, the display duration of the product details page on the terminal can also be detected. If the display duration exceeds a preset duration threshold, recommended prompts for the target media content can be displayed directly. For example, the display duration is counted from the time the current account enters the product details page of the target product. When the display duration reaches 3 seconds (the preset duration threshold), recommended prompts for the target media content are displayed.

[0060] The method provides a way to display recommended information for target media content, which can be dynamically provided to the current account based on the actual situation. This approach does not disrupt the browsing experience of the current account on the product details page, but provides timely reference information to the current account, thereby improving the user experience.

[0061] Step 104: In response to a trigger operation on the target media content, display the information browsing page for the paired products.

[0062] After the above steps, the target media content of the accompanying products can be displayed on the product details page of the target product. In response to the trigger operation on the target media content, the information browsing page corresponding to the accompanying products can be displayed.

[0063] Specifically, the information browsing page refers to the page used to display matching information for products. See [link to relevant documentation]. Figure 6 , Figure 6 This diagram illustrates a page navigation method for accessing a page displaying information about complementary products, as provided in one embodiment of this specification. Figure 6 As shown, the methods provided in the embodiments of this specification offer various redirection links to access information browsing pages. For example... Figure 6As shown in (1), when a recommendation prompt is displayed on the product details page, the user can click on the recommendation prompt to enter the product details page. Figure 6 The information browsing page shown in (4) is shown in the middle.

[0064] For example, such as Figure 6 As shown in (2), when images, videos, and other media content are displayed on the product details page, you can click the jump control to the right of "Inspiration Outfit" to switch from the page shown in (2) to the page shown in (2). Figure 6 The information browsing page shown in (4) is shown in the middle.

[0065] For example, such as Figure 6 As shown in (3), when the target media content for the product is displayed on the product details page, you can enter the product page by clicking on the target media content. Figure 6 The information browsing page shown in (4) is shown in the middle.

[0066] In such Figure 6 The information browsing page shown in (4) contains multiple information blocks, each containing different target media content. Users can search for content of interest in different information blocks.

[0067] The method provided in the embodiments of this specification can display target media content on an information browsing page, thereby facilitating users' better understanding of the matching information of the target product, assisting users in further understanding the target product, and providing a reference for users to decide whether to purchase the target product.

[0068] In one specific embodiment provided in this specification, the target media content includes at least one recommended combination of products; Accordingly, in response to a triggering operation on the target media content, an information browsing page for the accompanying products is displayed, including: In response to a triggered operation targeting a specific recommended product combination, an information browsing page for that product combination is displayed.

[0069] In this embodiment, the target media content includes at least one recommended product combination. A recommended product combination can be understood as a combination of the target product and complementary products. For example, if the target product is a top, the complementary products could be pants and shoes; therefore, the recommended product combination would be a top, pants, and shoes. Different recommended product combinations can exist for the same target product.

[0070] In response to a trigger action on the target multimedia content on the product details page, information on each recommended product combination will be displayed on the information browsing page.

[0071] like Figure 6As shown, the information for each recommended product combination can include images of the recommended products, images of the target product, images of the complementary products, and accompanying text for the recommended products, etc.

[0072] In practical applications, the information browsing page displaying paired products can show multiple recommended product combinations or a specific target recommended product combination. This manual does not limit this; the actual application shall prevail.

[0073] A browsing page displaying recommended product combinations for the target audience may further include at least one of the following: Displays recommended product combinations and images corresponding to the target product pairings; Displays product images corresponding to each combination of items; Displays the recommended product combinations and accompanying text.

[0074] In displaying recommended product combinations, the display can include images of the target product and the recommended combination products, an image of a single product, or recommended text for the product combination. It can also be any combination of two or three of these.

[0075] The method provided in this embodiment allows users to further understand the detailed information of the target recommended product combination on the information browsing page, so that users can more intuitively see the image effect of the target product and the matching products, which is convenient for users to refer to.

[0076] In one specific embodiment provided in this specification, the method further includes: When displaying product images corresponding to each pair of products, in response to a trigger operation on the target product image, the product details page of the target pair of products corresponding to the target product image is displayed.

[0077] In this embodiment, the target recommended product combination includes product images of each product, and the user can also click on the product image of the product being combined. The product image selected by the user is the target product image. Correspondingly, the product being combined with the target product image is the target product combination. When the user clicks on the target product image, the product details page corresponding to the target product combination can be displayed.

[0078] Specifically, by clicking on the image of a target product, a user can send an access request to the server for the target bundled product. The server will then return a link to the product details page for that bundled product. Based on this link, the product details page for the target bundled product can be displayed.

[0079] In one specific embodiment provided in this specification, the method further includes: When displaying a recommended combination image corresponding to the target recommended product combination, in response to a trigger operation on the recommended combination image, the target published content corresponding to the recommended combination image is displayed.

[0080] In this embodiment, when displaying a recommended combination image corresponding to the target recommended product combination, the user can also click on the recommended combination image, which corresponds to the target published content. When the user selects the recommended combination image, the target published content corresponding to that image is displayed. Specifically, when the user clicks the recommended combination image, an access request is sent to the server for the target published content corresponding to the recommended combination image. The server returns an access link for the target published content, and the target published content corresponding to the recommended combination image can be displayed based on this access link.

[0081] In this implementation, users can click on the recommended pairing images to enter the target published content, and further understand the target product and the paired products through the target published content, so that users can have a better understanding of the paired products.

[0082] In one specific embodiment provided in this specification, the method further includes: When displaying the recommended product combination copy corresponding to the target recommended product combination, in response to the triggered operation of the product keywords in the recommended product combination copy, the product results page corresponding to the product keywords is displayed.

[0083] In this embodiment, the information browsing page for the target recommended product combinations may also include recommended combination text. This text is generated based on the target's published content and may include information such as the combination scenarios and keywords. If a user is interested in the content of the recommended combination text, they can click on the product keywords within the text to conduct further searches, displaying the product results page corresponding to those keywords.

[0084] In practical applications, a product results page can be either a product details page for a specific product or a search results page for a category of products. Specifically, it depends on the specific content of the product keywords.

[0085] For example, if the product keyword in the recommended product description is a keyword for a certain product, the product details page corresponding to that product will be displayed in response to the trigger action triggered by that product keyword.

[0086] For example, when the product keywords in the recommended product pairings file are keywords for a certain type of product, in response to a trigger action targeting that product keyword, the search results page corresponding to that keyword is displayed, showing the search information for that keyword. Users can further browse on the search results page and select products that interest them.

[0087] The above explains the different display methods on the information browsing page for recommended product combinations. In practical applications, you can make corresponding settings according to the actual situation.

[0088] The method provided in the embodiments of this specification generates target media content for complementary products based on the published content for the target product on the content application platform, and displays this target media content to the user, providing recommendations. In this process, merchants do not need to configure recommendations, saving their configuration resources; at the same time, it fully utilizes the published content resources of the content application platform, organically combining the target published content with complementary products, meeting the user's contextualized extension needs when browsing individual products. This enriches the user's browsing depth on the content application platform and enhances the user experience.

[0089] Figure 7 A flowchart is shown below illustrating another data processing method provided according to one or more embodiments of this specification. This method is applied to a server and specifically includes the following steps: Step 702: Receive the access request from the target account for the product details page corresponding to the target product.

[0090] Here, the target account can be understood as the user account used to access the product details page corresponding to the target product; specifically, it can be understood as the current account in the above embodiments. In this embodiment, it is a server-side data processing method corresponding to the above data processing method. In this embodiment, the server can also be a cloud server.

[0091] The target product can be understood as the product that the target account wants to browse, which can be clothing, beauty products, electronics, household goods, etc. The product details page is the product details page corresponding to the target product, and it has the same meaning as the product details page in the above embodiment, so it will not be described again here.

[0092] In practical applications, when a target account wants to browse the product details page of a target product, it sends an access request for that target product to the server. The server then returns the access link for the product details page to the terminal where the target account is located, so that the terminal can display the product details page corresponding to the target product.

[0093] Step 704: Obtain the account preference information corresponding to the target account, and obtain the target published content corresponding to the target product.

[0094] In the method provided in the embodiments of this specification, when an access request for a product details page is obtained, the corresponding account preference information can be obtained based on the target account, and the corresponding target published content can be obtained based on the target product.

[0095] Account preference information can be understood as personalized information related to the target account. In practical applications, different users have different preferences. When recommending products to users, personalized recommendations should be made based on the user's preference information to improve the success rate of product recommendations. In the method provided in the embodiments of this specification, the account preference information of the target account can be obtained based on the target account's operation information on the content application platform.

[0096] Specifically, the system can obtain the operation log information of the target account within a preset time range, and extract operation information related to the target account's preferences from the operation log information, such as the target account's likes, favorites, purchases, etc. The operation information is then input into a pre-trained text processing model for summarization, and the target account's corresponding account preference information is obtained from the text processing model.

[0097] In practical applications, account preference information can be obtained in real time each time, or it can be updated at preset intervals. The rules for obtaining account preference information are not limited in the implementation methods provided in this manual; the actual application shall prevail.

[0098] The target content corresponding to the target product can be understood as target content related to the target product. For example, it could include styling notes related to the target product, reviews of the target product, unboxing videos of the target product, evaluation notes of the target product, etc. In the method provided in the embodiments of this specification, the target product may be a popular product, and there may be a large amount of target content related to the target product on the content application platform. In this case, the target content can be further filtered. For example, content published within a preset time interval from the current moment can be selected, or the content published about the target product can be rated, and a preset number of the top-rated content can be selected as the target content. In this embodiment, the specific filtering method for obtaining the target content corresponding to the target product is not limited, and the actual application shall prevail.

[0099] In one specific embodiment provided in this specification, obtaining the target published content corresponding to the target product includes: Obtain the product query information corresponding to the target product; Based on the product query information, the target published content corresponding to the target product is determined in the published content library.

[0100] In the embodiments provided in this specification, the corresponding target content can be determined based on the product query information of the target product. Product query information can be understood as information used to determine the target content for the target product; for example, it could be a product image, a product description, usage scenarios, product keywords, etc. Once the product query information of the target product is determined, the target content corresponding to the target product can be determined from the content library based on that product query information.

[0101] The content repository can be understood as a database within a content application platform used to store published content. In practical applications, product query information can be compared with the published content in the content repository to identify the content that meets the comparison criteria as the target published content.

[0102] For example, taking product search information consisting of product images as an example, we can compare the product search information with the images in various published content, and select the content with a similarity greater than a preset threshold as the target content. For some published content without images, we can also use a text generation model to generate corresponding images based on the published content, and then compare the generated images with the product images.

[0103] For example, if the product search information is product keywords, the product keywords can be compared with the keywords of each published content, and the published content with a similarity greater than a preset threshold can be used as the target published content.

[0104] For example, if the product query information is a product image, an image generation model can be used to generate multiple similar product images that are similar to the target product image. Then, these similar product images are compared with the published content in the content library, and the published content that meets the comparison criteria is determined as the target published content.

[0105] In this embodiment, obtaining the target account's account preference information is for the purpose of filtering media content and obtaining the target published content corresponding to the target product, with the aim of accumulating data for the subsequent generation of media content.

[0106] Step 706: Generate initial media content for the target product based on the target published content.

[0107] After the above steps, multiple target content posts corresponding to the target product can be obtained. Based on this, initial media content for the target product can be generated. Initial media content can be understood as media content related to the target product generated from the target content posts. For example, if there are 100 target content posts, 100 initial media content posts can be generated for the target product. In this case, the initial media content is only related to the target content posts. In practical applications, different users can publish target content posts with different dimensions and scenarios; therefore, multiple initial media content posts for the target product can be generated.

[0108] At this point, multiple initial media content are generated based on the target content to provide data support for the subsequent selection of media content. The more initial media content there is, the more references can be provided to the target account.

[0109] In one specific embodiment provided in this specification, generating initial media content for the target product based on the target published content includes: The target content is input into a text parsing model to obtain initial media content for the target product, wherein the initial media content includes product keywords corresponding to the product.

[0110] In this embodiment, the target published content can be processed using a text parsing model to obtain initial media content for the target product. The text parsing model can be an AI model based on a multimodal large-scale model, trained to extract information from the target published content and generate the corresponding initial media content. In practical applications, the initial media content also includes product keywords corresponding to each paired product; these product keywords provide a basis for subsequent media content selection.

[0111] See Figure 8 , Figure 8 This specification illustrates an embodiment of generating initial media content based on target published content, as shown in the diagram. Figure 8 As shown, the system obtains product images of the target product, retrieves target published content matching the product images from the content application platform using image search capabilities, and then parses the target published content using a text parsing model to obtain multiple complementary products carried in the target published content, and generates product keywords corresponding to each complementary product.

[0112] In practical applications, Figure 8The operation shown, namely recalling target published content based on the target product and generating initial media content based on the target published content, can be performed in advance. To improve the real-time performance of data processing, it is not necessary to generate initial media content only after each access request to the product details page of the target product is initiated by the target account. Alternatively, the relevant operations can be performed in advance, and the target product, initial media content, complementary products, and product keywords of the complementary products can be pre-saved in the database. When an access request arrives, it is only necessary to obtain the account preference information of the target account and retrieve the initial media content corresponding to the target product from the database. This can greatly improve data processing efficiency. It should be noted that if the method of pre-generating initial media content is adopted, the initial media content of the target product in the database needs to be updated. The update method can be manually updated by the merchant or automatically updated at a fixed update cycle. In the method provided in the embodiments of this specification, this is not limited, and the actual application shall prevail.

[0113] Step 708: Determine the target media content corresponding to the target account in the initial media content based on the account preference information.

[0114] After determining the initial media content through the above steps, you can further filter the target media content corresponding to the target account from the initial media content based on account preference information. In practical applications, to further streamline the content recommended to the target account and reduce the impact of redundant information on the target account's corresponding users, you can further filter the target media content corresponding to the target account from the initial media content based on the target account's account preference information.

[0115] By performing this step, the amount of target media content can be further reduced, and the selected target media content can be more closely aligned with the actual needs of the target account, thereby increasing the final product conversion rate.

[0116] In one specific embodiment provided in this specification, determining the target media content corresponding to the target account from the initial media content based on the account preference information includes: Obtain the product keywords corresponding to the initial media content; Based on the account preference information, the matching product keywords are determined from each product keyword, and the initial media content corresponding to the matching product keywords is determined as the target media content.

[0117] In the steps described above, the initial media content obtained through the text parsing model includes product keywords for each paired item. Therefore, these product keywords can be used as filtering criteria in the current step. Specifically, the product keywords for each initial media item are obtained, and each product keyword is compared with the account preference information to find matching product keywords that match the account preference information. For example, if the account preference information indicates a preference for a cute style, then matching product keywords suitable for a cute style can be found from the product keywords corresponding to the initial media content; similarly, if the account preference information indicates a preference for a denim style, then matching product keywords suitable for a denim style can be found from the product keywords corresponding to the initial media content.

[0118] Once the matching product keywords are determined, the initial media content corresponding to the matching product keywords can be further identified as the target media content.

[0119] This method allows for further filtering of product keywords from the initial media content to identify those that better match the product's keywords. This ensures that the target media content recommended to the target account is more aligned with the account's preferences, thereby increasing the product's conversion rate and improving the user experience.

[0120] Step 710: Add the target media content to the product details page and send it to the target account.

[0121] Once the target media content is determined, it can be added to the product details page of the target product and sent to the target account so that the target account can view it.

[0122] In practical applications, a template for the product details page can be pre-saved on the server. A space can be reserved for the target media content in the media content display area of ​​the template. Once the target media content is determined, it can be added to the reserved space to generate the final product details page.

[0123] Alternatively, relevant content from the target media can be used to generate corresponding link identifiers, which are then added to the webpage link on the product details page. When the target account initiates an access request, the webpage link containing the target media content's link identifiers can be sent to the target account. During the process of parsing this webpage link, the target account will obtain the target media content through the link identifiers and display it on the target account's device.

[0124] The method provided in this manual does not limit the specific implementation of how to send the target media content to the target account; the actual application shall prevail.

[0125] The method provided in the embodiments of this specification can find target media content matching the target account based on the target account's account preference information when a target account requests access to the product details page of a target product. This target media content is then recommended to the target account, providing reference information for the target account to understand the target product. This enriches the user's usage scenarios for understanding the target product. Furthermore, the target media content determined by this method is more in line with the user's preferences, thus improving the user experience.

[0126] Figure 9 A flowchart of another data processing method provided according to one or more embodiments of this specification is shown, specifically including the following steps: Step 902: Display the product details page of the target product, wherein the product details page includes the target media content of the target product's complementary products, and the target media content is determined based on the target product and at least one preset reference dimension.

[0127] Step 904: In response to a triggering operation on the target media content, display the information browsing page for the accompanying products.

[0128] In the method provided in the embodiments of this specification, another way of displaying target media content is provided. The difference between this method and the data processing method in the above embodiments is that the target media content in this embodiment is determined based on the target product and at least one preset reference dimension.

[0129] In practical applications, some products lack corresponding target content, making it impossible to determine the target media content for their accompanying products based on the target content of the target product. For target products without corresponding target content, the method provided in this embodiment can be used to generate and display the target media content corresponding to the accompanying products. In this embodiment, the target media content is determined based on the target product and at least one preset reference dimension.

[0130] It should be noted that the client-side operations in step 902 are the same as those in step 102 above. For information on displaying the product details page of the target product, please refer to the relevant description in step 102 above, which will not be repeated here.

[0131] See Figure 10 , Figure 10 This specification shows a schematic diagram of a product details page for a target product according to another embodiment of the present specification, such as... Figure 10 As shown in (1), a “Life Inspiration” label is set in the media content display area. Users can switch between the media content display area and the Life Inspiration label to display the target media content of the target product’s matching products.

[0132] If the activity information of the current account on the product details page meets preset conditions, the product details page will then display the following: Figure 10 The page shown in (1) leads to the page as follows: Figure 10 The recommended prompt information described in (2) is presented in this embodiment as a bubble prompt. In practical applications, it can also be other prompt methods such as pop-ups, which will not be elaborated here. Figure 10 (2) shows a schematic diagram of recommended prompts provided in one embodiment of this specification. Figure 10 As shown in (2), users can click on the recommendation prompt to display the target media content of the target product's complementary products.

[0133] In the method provided in the embodiments of this specification, in response to a triggering operation on the target media content, an information browsing page for the accompanying products can be displayed. Specifically, the target media content of the accompanying products for the target product is displayed on the product details page, and clicking on the target media content can further display the information browsing page corresponding to the target media content.

[0134] In one or more specific embodiments provided in this specification, displaying an information browsing page for the paired products includes: The information browsing page displays dimension information subpages corresponding to each preset reference dimension, wherein each dimension information subpage displays the target media content corresponding to each preset reference dimension.

[0135] See Figure 11 , Figure 11 This diagram illustrates page switching in an information browsing page according to an embodiment of this specification. For example... Figure 11 As shown in (1), when a recommendation prompt is displayed on the product details page, the user can click on the recommendation prompt to enter the product details page. Figure 11 The information browsing page shown in (2) is as follows. In this embodiment, the target media content is determined based on the target product and at least one preset reference dimension. Therefore, the information browsing page that displays the target media content can be displayed according to the dimension information. Specifically, the information browsing page includes multiple dimension tabs, and different dimension tabs correspond to different preset reference dimensions.

[0136] like Figure 11 As shown in (2), when the user selects dimension A, the tab corresponding to dimension A is displayed. In the tab corresponding to dimension A, the target media content of the matching products determined according to the target product and dimension A is displayed.

[0137] Users can also... Figure 11Based on the page shown in (2), you can switch between the dimension labels. The specific switching method can be to directly click the corresponding dimension label or to switch by swiping left and right on the screen.

[0138] For example, taking switching by swiping left and right on the screen as an example, in... Figure 11 Based on the page shown in (2), swiping left will display the following: Figure 11 The information browsing page shown in (3) displays the tabs corresponding to dimension B and shows the matching products and target media content determined based on the target product and dimension B.

[0139] For example, to illustrate this using clicking dimension tags, you can... Figure 11 Based on the page shown in (3), click the tab corresponding to dimension D. It will display as shown below. Figure 11 The information browsing page shown in (4) displays the tab corresponding to dimension D and shows the matching products and target media content determined according to the target product and dimension D.

[0140] In practical applications, preset reference dimensions can be fixed or randomly variable. Furthermore, preset reference dimensions can be determined based on the category information of the target product. This ensures the stability of the recommended target media content determined by the preset reference dimensions, improves the quality of paired products, and guarantees the user experience.

[0141] The method provided in the embodiments of this specification generates complementary products for each dimension based on the target product and preset reference dimensions, and generates target media content corresponding to each complementary product. By displaying the target media content to the user, recommendations are provided. In this process, merchants do not need to configure recommendations, saving their configuration resources. Simultaneously, it fully leverages the characteristics of the target product, finding complementary products for it in different application scenarios, thus meeting the user's contextualized extension needs when browsing individual products. This enriches the user's browsing depth on the content application platform and enhances the user experience.

[0142] Figure 12 A flowchart is shown illustrating yet another data processing method provided according to one or more embodiments of this specification. This method is applied to a server and specifically includes the following steps: Step 1202: Receive the access request from the target account for the product details page corresponding to the target product.

[0143] The embodiments in this specification correspond to the above-described implementation of determining the target media content for complementary products based on the target product and at least one preset reference dimension. The method provided in the embodiments of this specification is applicable to products for which there is no corresponding target content on the content application platform.

[0144] Specifically, the relevant information for step 1202 is the same as that for step 702 above. The specific implementation of step 1202 is the same as that for step 702 above, and will not be repeated here.

[0145] Step 1204: Obtain the account preference information corresponding to the target account and obtain the product attribute information corresponding to the target product.

[0146] In this embodiment, the account preference information of the target account also needs to be obtained. The method of obtaining the account preference information of the target account is the same as the step 704 above, and will not be repeated here.

[0147] The difference between this embodiment and the above embodiments is that, in this embodiment, the product attribute information corresponding to the target product is obtained, rather than the target published content corresponding to the target product.

[0148] In this embodiment, due to the characteristics of the target product, there may be no relevant target content. For example, for some household items such as water cups and curtains, the content application platform may not have relevant recommended notes for users to refer to, or the amount of target content may be very small, making it impossible to effectively generate corresponding target media content. Therefore, in this embodiment, AI capabilities can be used to expand the scope. Thus, the product attribute information corresponding to the target product can be obtained.

[0149] In practical applications, the product attribute information corresponding to the target product is pre-saved into the corresponding product database when the merchant configures the product. Once the target product is determined, its corresponding product attribute information can be retrieved from this database. Product attribute information may include the product's application scenario, style, keywords, images, etc.

[0150] Step 1206: Determine the initial media content based on the product attribute information and at least one preset reference dimension.

[0151] The preset reference dimensions can be understood as different dimensions of information pre-set by the system for expanding product information. For example, in a specific embodiment provided in this specification, the preset reference dimensions may include aspects such as style, scene, material, usage, and emotion. The preset reference dimensions are pre-set and saved to the preset dimension database. When needed, the preset reference dimensions can be directly retrieved from the preset dimension database.

[0152] After obtaining the product attribute information and preset reference dimensions, initial media content can be generated based on the product attribute information and each preset reference dimension. In the method provided in the embodiments of this specification, the AI ​​extension capabilities can be fully utilized to generate initial media content through the capabilities of large language models.

[0153] Specifically, in another specific embodiment provided in this specification, the initial media content is determined based on the product attribute information and at least one preset reference dimension, including: The product attribute information and each preset reference dimension are input into the product recommendation model to obtain the initial media content corresponding to each preset reference dimension output by the product recommendation model. The initial media content includes recommendation scenario information, recommendation copy information, and product keywords corresponding to the paired products.

[0154] In this embodiment, product attribute information and various preset reference dimensions can be input into the product recommendation model to obtain the initial media content corresponding to each preset reference dimension output by the product recommendation model. It should be noted that the product recommendation model can be based on a multimodal large language model and trained to generate media content corresponding to each preset reference dimension based on the input product attribute information and preset reference dimensions. The media content includes matching products adapted to the preset reference dimensions, recommendation scenario information, recommendation copy information, product keywords, etc.

[0155] For example, taking "cat-shaped storage box (suitable for children's rooms and home storage)" as an example, the preset reference dimensions can include style, scenario, material, usage, and emotion. The product attribute information of the target product and each preset reference dimension are input into the product recommendation model to obtain the initial media content determined by the product recommendation model.

[0156] Taking style as the preset reference dimension as an example, the product recommendation model outputs the corresponding short title "Cute and Unified", the matching title "Be a little cuter, and the room will feel more like your own territory", and the recommendation copy is "Cat shapes are inherently strict, so it's best to put them together with similar rounded and playful small items to keep them cute and uncluttered. The key is not to use too many colors." Examples of recommended products include "animal-shaped storage items from the same series, malong-colored storage baskets, and simple small hooks", along with related product information.

[0157] Taking the scenario as a preset reference dimension as an example, the product recommendation model outputs the corresponding short title "Keep your room organized," the title "A place to store toys makes your room more functional," and the recommendation copy information "Children's rooms need to be tidied up quickly. Organize frequently played toys, picture books, and building blocks into boxes, and tidying up will be faster and easier to maintain." Examples of recommended products include "toy storage baskets, picture book display shelves, bookshelves, and children's play mats," along with related product information.

[0158] Taking material as the preset reference dimension as an example, the product recommendation model outputs the corresponding short title "Just the Right Amount of Softness and Hardness," the matching title "Lighter and Rounder, More Suitable for Children's Rooms," and the recommendation copy information as "Choosing materials that are not scratchy, have no sharp corners, and are easy to wipe is more worry-free. Using them with fabrics and wood will make the space more gentle and more aesthetically pleasing." Examples of recommended products include "corner protectors, anti-collision strips, wipeable storage paper labels, and fabric storage bags," along with related product information.

[0159] Taking the preset reference dimension as an example, the product recommendation model outputs the corresponding short title "Easy to find by category", the matching title "Well-categorized, even children can tidy up by themselves", and the recommendation copy information "One box holds only one type of item, one box for cars, one box for building blocks, one box for crafts, with icons or color labels, so they can be found and put back easily". Examples of recommended products include "category labels, label holders, drawer dividers, and transparent storage boxes", along with related product information.

[0160] Taking emotion as the preset reference dimension as an example, the product recommendation model outputs the corresponding short title "Encourages Organizing", the title "Make Organizing Easy", and the recommendation copy information "The design is user-friendly, which will make children more willing to participate in organizing. Place the storage boxes in an accessible place, and you will see the room become neat and tidy after they are put away". Examples of recommended products include "children's low cabinets, open shelf storage racks, children's step stools, and night lights", as well as related product information.

[0161] See Figure 13 , Figure 13 This specification illustrates a schematic diagram of an embodiment of generating initial media content based on a preset reference dimension, as shown below. Figure 13 As shown, after inputting product attribute information and preset reference dimensions, AI analysis determines the specific matching scenarios and title copy corresponding to each preset reference dimension. Then, by matching with the product database, it finds the corresponding matching products and their corresponding product keywords under each preset reference dimension. This generates the corresponding initial media content.

[0162] This step fully leverages the generative capabilities of the large language model to find corresponding complementary products for the target product across different dimensions and generate corresponding initial media content. By combining the target product's attribute information, complementary products with different reference dimensions can be recommended, providing users with various pairing suggestions and enhancing the user experience.

[0163] Step 1208: Determine the target media content corresponding to the target account in the initial media content based on the account preference information.

[0164] After determining the initial media content through the above steps, you can further filter the target media content corresponding to the target account from the initial media content based on account preference information. In practical applications, to further streamline the content recommended to the target account and reduce the impact of redundant information on the target account's corresponding users, you can further filter the target media content corresponding to the target account from the initial media content based on the target account's account preference information.

[0165] By performing this step, the amount of target media content can be further reduced, and the selected target media content can be more closely aligned with the actual needs of the target account, thereby increasing the final product conversion rate.

[0166] In another specific embodiment provided in this specification, determining the target media content corresponding to the target account from the initial media content based on the account preference information includes: Obtain the product keywords corresponding to the initial media content; Based on the account preference information, the matching product keywords are determined from each product keyword, and the initial media content corresponding to the matching product keywords is determined as the target media content.

[0167] In the steps described above, the product recommendation model obtains the product keywords corresponding to each paired product. In this current step, these product keywords can be used as filtering criteria. Each product keyword is compared with account preference information to find matching product keywords that align with the account's preferences. Under each preset reference dimension, the matching product keywords for the target account are found, and the initial media content corresponding to these matching product keywords is determined as the target media content.

[0168] This method allows for further filtering of product keywords from the initial media content to identify those that better match the product's keywords. This ensures that the target media content recommended to the target account is more aligned with the account's preferences, thereby increasing the product's conversion rate and improving the user experience.

[0169] Step 1210: Add the target media content to the product details page and send it to the target account.

[0170] The content of step 1210 is the same as the operation of step 710 above. For the relevant operation of step 1210, please refer to the relevant content of step 710 above, which will not be repeated here.

[0171] The method provided in the embodiments of this specification allows for the determination of complementary products based on the product attributes and preset reference dimensions when a target account requests access to the product details page of a target product. After determining the complementary products, the initial media content corresponding to each complementary product is determined. Then, the target media content is filtered from the initial media content in conjunction with the target account's account preference information and recommended to the target account. This provides reference information for the target account to understand the target product, enriches the user's usage scenarios for understanding the target product, and the target media content determined by this method is more in line with the user's preferences, thus improving the user experience.

[0172] Corresponding to the above method embodiments, one or more embodiments of this specification also provide data processing apparatus embodiments. Figure 14 A schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification is shown. Figure 14 As shown, the device includes: Display module 1402 is configured to display a product details page of a target product, wherein the product details page includes target media content of complementary products of the target product, the target media content is determined based on target published content, and the target published content is determined according to the target product; The response module 1404 is configured to display the information browsing page of the accompanying products in response to a trigger operation on the target media content.

[0173] Optionally, the display module 1402 is further configured to: Display recommended suggestions for the target media content; and, in response to a triggering operation based on the recommended suggestions, display the target media content; or, In response to a switching operation on the media content display area, the target media content is displayed, wherein the media content display area includes the media content of the target product and the media content of the accompanying product.

[0174] Optionally, the display module 1402 is further configured to: Detect the current account's behavior information on the product details page, and if the behavior information meets preset recommendation criteria, display recommendation prompts for the target media content; or, The display duration of the product details page is detected. If the display duration exceeds a preset duration threshold, recommended prompts for the target media content are displayed.

[0175] Optionally, the target media content includes at least one recommended product combination; The response module 1404 is further configured as follows: In response to a triggered operation targeting a specific recommended product combination, an information browsing page for that product combination is displayed.

[0176] Optionally, the target recommended product combination includes at least one product; The response module 1404 is further configured as follows: Displays recommended product combinations and images corresponding to the target product pairings; Displays product images corresponding to each combination of items; Displays the recommended product combinations and accompanying text.

[0177] Optionally, the response module 1404 is further configured to: When displaying product images corresponding to each pair of products, in response to a trigger operation on the target product image, the product details page of the target pair of products corresponding to the target product image is displayed.

[0178] Optionally, the response module 1404 is further configured to: When displaying a recommended combination image corresponding to the target recommended product combination, in response to a trigger operation on the recommended combination image, the target published content corresponding to the recommended combination image is displayed.

[0179] Optionally, the response module 1404 is further configured to: When displaying the recommended product combination copy corresponding to the target recommended product combination, in response to the triggered operation of the product keywords in the recommended product combination copy, the product results page corresponding to the product keywords is displayed.

[0180] Optionally, the complementary products and the target products may belong to the same store or different stores.

[0181] The apparatus provided in this specification generates target media content for complementary products based on the published content for the target product on the content application platform, and displays this target media content to the user, providing recommendations. In this process, merchants do not need to configure recommendations, saving their configuration resources; at the same time, it fully utilizes the published content resources of the content application platform, organically combining the target published content with complementary products, meeting the user's contextualized extension needs when browsing individual products. This enriches the user's browsing depth on the content application platform and enhances the user experience.

[0182] The above is an illustrative scheme of a data processing apparatus according to this embodiment. It should be noted that the technical solution of this data processing apparatus and the technical solution of the data processing method described above belong to the same concept. For details not described in detail in the technical solution of the data processing apparatus, please refer to the description of the technical solution of the data processing method described above.

[0183] Corresponding to the above method embodiments, one or more embodiments of this specification also provide data processing apparatus embodiments. Figure 15 A schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification is shown. Figure 15 As shown, the device includes: Display module 1502 is configured to display the product details page of the target product, wherein the product details page includes target media content of the target product's complementary products, and the target media content is determined based on the target product and at least one preset reference dimension; The response module 1504 is configured to display the information browsing page of the accompanying products in response to a trigger operation on the target media content.

[0184] Optionally, the response module 1504 is further configured to: The information browsing page displays dimension information subpages corresponding to each preset reference dimension, wherein each dimension information subpage displays the target media content corresponding to each preset reference dimension.

[0185] The apparatus provided in this specification generates complementary products for each dimension based on the target product and preset reference dimensions, and generates target media content corresponding to each complementary product. By displaying this target media content to the user, recommendations are provided. In this process, merchants do not need to configure recommendations, saving their configuration resources. Simultaneously, it fully leverages the characteristics of the target product, finding complementary products for it in different application scenarios, thus meeting the user's contextualized extension needs when browsing individual products. This enriches the user's browsing depth on the content application platform and enhances the user experience.

[0186] The above is an illustrative scheme of a data processing apparatus according to this embodiment. It should be noted that the technical solution of this data processing apparatus and the technical solution of the data processing method described above belong to the same concept. For details not described in detail in the technical solution of the data processing apparatus, please refer to the description of the technical solution of the data processing method described above.

[0187] Corresponding to the above method embodiments, one or more embodiments of this specification also provide data processing apparatus embodiments. Figure 16 A schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification is shown. Figure 16As shown, the device includes: The receiving module 1602 is configured to receive access requests from the target account for the product details page corresponding to the target product; The acquisition module 1604 is configured to acquire account preference information corresponding to the target account and acquire target published content corresponding to the target product; The generation module 1606 is configured to generate initial media content for the target product based on the target published content; The determination module 1608 is configured to determine the target media content corresponding to the target account in the initial media content based on the account preference information. The sending module 1610 is configured to add the target media content to the product details page and send it to the target account.

[0188] Optionally, the acquisition module 1604 is further configured to: Obtain the product query information corresponding to the target product; Based on the product query information, the target published content corresponding to the target product is determined in the published content library.

[0189] Optionally, the acquisition module 1604 is further configured to: Obtain at least one of the following: product image, product description information, and product keywords corresponding to the target product.

[0190] Optionally, the generation module 1606 is further configured to: The target content is input into a text parsing model to obtain initial media content for the target product, wherein the initial media content includes product keywords corresponding to the product.

[0191] Optionally, the determining module 1608 is further configured to: Obtain the product keywords corresponding to the initial media content; Based on the account preference information, the matching product keywords are determined from each product keyword, and the initial media content corresponding to the matching product keywords is determined as the target media content.

[0192] The apparatus provided in the embodiments of this specification can, when receiving a request from a target account to access the product details page of a target product, find target media content that matches the target account based on the target account's account preference information, and recommend the target media content to the target account, providing reference information for the target account to understand the target product, enriching the user's usage scenarios for understanding the target product, and the target media content determined by this method is more in line with the user's preferences, thus improving the user experience.

[0193] The above is an illustrative scheme of a data processing apparatus according to this embodiment. It should be noted that the technical solution of this data processing apparatus and the technical solution of the data processing method described above belong to the same concept. For details not described in detail in the technical solution of the data processing apparatus, please refer to the description of the technical solution of the data processing method described above.

[0194] Corresponding to the above method embodiments, one or more embodiments of this specification also provide data processing apparatus embodiments. Figure 17 A schematic diagram of the structure of a data processing apparatus provided in one or more embodiments of this specification is shown. Figure 17 As shown, the device includes: The receiving module 1702 is configured to receive access requests from the target account for the product details page corresponding to the target product; The acquisition module 1704 is configured to acquire account preference information corresponding to the target account and product attribute information corresponding to the target product; The first determining module 1706 is configured to determine the initial media content based on the product attribute information and at least one preset reference dimension. The second determining module 1708 is configured to determine the target media content corresponding to the target account in the initial media content based on the account preference information. The sending module 1710 is configured to add the target media content to the product details page and send it to the target account.

[0195] Optionally, the first determining module 1706 is further configured to: The product attribute information and each preset reference dimension are input into the product recommendation model to obtain the initial media content corresponding to each preset reference dimension output by the product recommendation model. The initial media content includes recommendation scenario information, recommendation copy information, and product keywords corresponding to the paired products.

[0196] Optionally, the second determining module 1708 is further configured to: Obtain the product keywords corresponding to the initial media content; Based on the account preference information, the matching product keywords are determined from each product keyword, and the initial media content corresponding to the matching product keywords is determined as the target media content.

[0197] The apparatus provided in the embodiments of this specification allows for the determination of complementary products based on the product attributes and preset reference dimensions when a target account requests access to the product details page of a target product. After determining the complementary products, the initial media content corresponding to each complementary product is determined. Then, the target media content is filtered from the initial media content in conjunction with the target account's account preference information and recommended to the target account. This provides reference information for the target account to understand the target product, enriches the user's usage scenarios for understanding the target product, and the target media content determined by this method is more in line with the user's preferences, thus improving the user experience.

[0198] The above is an illustrative scheme of a data processing apparatus according to this embodiment. It should be noted that the technical solution of this data processing apparatus and the technical solution of the data processing method described above belong to the same concept. For details not described in detail in the technical solution of the data processing apparatus, please refer to the description of the technical solution of the data processing method described above.

[0199] The following is combined Figure 18 This document uses the application of the data processing method provided in this manual to a shopping platform as an example to further explain the data processing method. Figure 18 This specification illustrates a flow chart of a data processing method applied to a shopping platform, according to an embodiment of this specification: The shopping platform includes a user client and a server; the user client is the client-side device used by users to browse and shop on the platform; the server is the device that responds to user actions by sending corresponding action response information to the user client. In this embodiment, the logged-in user on the user client is a user account. Figure 18 As shown: The user sends an access request to the server for the product details page corresponding to the target product; The server obtains the account preference information corresponding to the target account and the target published content corresponding to the target product; generates initial media content for the target product based on the target published content; determines the target media content corresponding to the target account in the initial media content based on the account preference information; adds the target media content to the product details page; and sends the product details page to the user. The user terminal displays the product details page of the target product, wherein the product details page includes the target media content of the target product's complementary products, the target media content is determined based on the target published content, and the target published content is determined based on the target product; in response to a trigger operation on the target media content, the information browsing page of the complementary products is displayed.

[0200] The method provided in the embodiments of this specification generates target media content for complementary products based on the published content for the target product on the content application platform, and displays this target media content to the user, providing recommendations. In this process, merchants do not need to configure recommendations, saving their configuration resources; at the same time, it fully utilizes the published content resources of the content application platform, organically combining the target published content with complementary products, meeting the user's contextualized extension needs when browsing individual products. This enriches the user's browsing depth on the content application platform and enhances the user experience.

[0201] The following is combined Figure 19 This document uses the application of the data processing method provided in this manual to a shopping platform as an example to further explain the data processing method. Figure 19 This specification illustrates a flow chart of another data processing method for a shopping platform, provided in one embodiment: The shopping platform includes a user client and a server; the user client is the client-side device used by users to browse and shop on the platform; the server is the device that responds to user actions by sending corresponding action response information to the user client. In this embodiment, the logged-in user on the user client is a user account. Figure 19 As shown: The user sends an access request to the server for the product details page corresponding to the target product; The server is used to obtain account preference information corresponding to the target account and product attribute information corresponding to the target product; determine initial media content based on the product attribute information and at least one preset reference dimension; determine target media content corresponding to the target account in the initial media content based on the account preference information; add the target media content to the product details page; and send the product details page to the user. The user terminal displays the product details page of the target product, wherein the product details page includes target media content of the target product's complementary products, and the target media content is determined based on the target product and at least one preset reference dimension; in response to a trigger operation on the target media content, the information browsing page of the complementary products is displayed.

[0202] The method provided in the embodiments of this specification generates complementary products for each dimension based on the target product and preset reference dimensions, and generates target media content corresponding to each complementary product. By displaying the target media content to the user, recommendations are provided. In this process, merchants do not need to configure recommendations, saving their configuration resources. Simultaneously, it fully leverages the characteristics of the target product, finding complementary products for it in different application scenarios, thus meeting the user's contextualized extension needs when browsing individual products. This enriches the user's browsing depth on the content application platform and enhances the user experience.

[0203] Figure 20 A structural block diagram of a computing device 2000 according to one or more embodiments of this specification is shown. The components of the computing device 2000 include, but are not limited to, a memory 2010 and a processor 2020. The processor 2020 is connected to the memory 2010 via a bus 2030, and a database 2050 is used to store data.

[0204] The computing device 2000 also includes an access device 2040, which enables the computing device 2000 to communicate via one or more networks 2060. Examples of these networks include Public Switched Telephone Network (PSTN), Local Area Network (LAN), Wide Area Network (WAN), Personal Area Network (PAN), or combinations of communication networks such as the Internet. The access device 2040 may include one or more of any type of wired or wireless network interface (e.g., a network interface card (NIC)), such as an IEEE 802.11 Wireless Local Area Network (WLAN) wireless interface, a Wi-MAX (Worldwide Interoperability for Microwave Access) interface, an Ethernet interface, a Universal Serial Bus (USB) interface, a cellular network interface, a Bluetooth interface, a Near Field Communication (NFC) interface, and so on.

[0205] In one or more embodiments of this specification, the above-described components of the computing device 2000 and Figure 20 Other components, not shown, can also be connected to each other, for example, via a bus. It should be understood that... Figure 20The block diagram of the computing device shown is for illustrative purposes only and is not intended to limit the scope of one or more embodiments of this specification. Those skilled in the art can add or replace other components as needed.

[0206] The computing device 2000 can be any type of stationary or mobile computing device, including mobile computers or mobile computing devices (e.g., tablet computers, personal digital assistants, laptop computers, notebook computers, netbooks, etc.), mobile phones (e.g., smartphones), wearable computing devices (e.g., smartwatches, smart glasses, etc.) or other types of mobile devices, or stationary computing devices such as desktop computers or personal computers (PCs). The computing device 2000 can also be a mobile or stationary server.

[0207] The processor 2020 is used to execute the following computer program / instructions, which, when executed by the processor, implement the steps of the above-described data processing method.

[0208] The above is an illustrative scheme of a computing device according to this embodiment. It should be noted that the technical solution of this computing device and the technical solution of the data processing method described above belong to the same concept. For details not described in detail in the technical solution of the computing device, please refer to the description of the technical solution of the data processing method described above.

[0209] An embodiment of this specification also provides a computer-readable storage medium storing a computer program / instructions that, when executed by a processor, implement the steps of the above-described data processing method.

[0210] The above is an illustrative scheme of a computer-readable storage medium according to this embodiment. It should be noted that the technical solution of this storage medium and the technical solution of the data processing method described above belong to the same concept. For details not described in detail in the technical solution of the storage medium, please refer to the description of the technical solution of the data processing method described above.

[0211] An embodiment of this specification also provides a computer program product, including a computer program / instructions that, when executed by a processor, implement the steps of the above-described data processing method.

[0212] The above is an illustrative scheme of a computer program product according to this embodiment. It should be noted that the technical solution of this computer program product and the technical solution of the data processing method described above belong to the same concept. For details not described in detail in the technical solution of the computer program product, please refer to the description of the technical solution of the data processing method described above.

[0213] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0214] The computer instructions include computer program code, which may be in the form of source code, object code, executable file, or certain intermediate forms. The computer-readable medium may include: any entity or device capable of carrying the computer program code, recording media, USB flash drive, portable hard drive, magnetic disk, optical disk, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium may be appropriately added or removed according to the requirements of patent practice. For example, in some regions, according to patent practice, computer-readable media may not include electrical carrier signals and telecommunication signals.

[0215] It should be noted that, for the sake of simplicity, the foregoing method embodiments are all described as a series of actions. However, those skilled in the art should understand that one or more embodiments of this specification are not limited to the described order of actions, because according to one or more embodiments of this specification, some steps can be performed in other orders or simultaneously. Furthermore, those skilled in the art should also understand that the embodiments described in this specification are preferred embodiments, and the actions and modules involved are not necessarily essential to one or more embodiments of this specification.

[0216] In the above embodiments, the descriptions of each embodiment have different focuses. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0217] The preferred embodiments disclosed above are merely illustrative of one or more embodiments of this specification. Optional embodiments do not exhaustively describe all details, nor do they limit the invention to the specific implementations described. Clearly, many modifications and variations can be made based on the content of one or more embodiments of this specification. The one or more embodiments selected and specifically described in this specification are intended to better explain the principles and practical applications of one or more embodiments of this specification, thereby enabling those skilled in the art to better understand and utilize one or more embodiments of this specification. One or more embodiments of this specification are limited only by the claims and their full scope and equivalents.

Claims

1. A data processing method, characterized in that, include: Display the product details page of the target product, wherein the product details page includes the target media content of the target product's complementary products, the target media content is determined based on the target published content, and the target published content is determined based on the target product; In response to a triggered operation on the target media content, an information browsing page for the accompanying products is displayed.

2. The method as described in claim 1, characterized in that, The target media content of the product details page is displayed in the following manner: Display recommended prompts for the target media content, and display the target media content in response to a triggering operation for the recommended prompts; or, In response to a switching operation on the media content display area, the target media content is displayed, wherein the media content display area includes the media content of the target product and the media content of the accompanying product.

3. The method as described in claim 2, characterized in that, Displaying recommended suggestions for the target media content is triggered based on at least one of the following: The system detects the current account's behavior information on the product details page. If the behavior information meets preset recommendation criteria, it displays recommendation prompts for the target media content. or, The display duration of the product details page is detected. If the display duration exceeds a preset duration threshold, recommended prompts for the target media content are displayed.

4. The method as described in claim 1, characterized in that, The target media content includes at least one recommended product combination; In response to a triggered operation on the target media content, an information browsing page for the accompanying products is displayed, including: In response to a triggered operation targeting a specific recommended product combination, an information browsing page for that product combination is displayed.

5. The method as described in claim 4, characterized in that, The target recommended product combination includes at least one complementary product; A browsing page displaying information about the target recommended product combinations includes at least one of the following: Displays recommended product combinations and images corresponding to the target product pairings; Displays product images corresponding to each combination of items; Displays the recommended product combinations and accompanying text.

6. The method as described in claim 5, characterized in that, The method further includes: When displaying product images corresponding to each pair of products, in response to a trigger operation on the target product image, the product details page of the target pair of products corresponding to the target product image is displayed.

7. The method as described in claim 5, characterized in that, The method further includes: When displaying a recommended combination image corresponding to the target recommended product combination, in response to a trigger operation on the recommended combination image, the target published content corresponding to the recommended combination image is displayed.

8. The method as described in claim 5, characterized in that, The method further includes: When displaying the recommended product combination copy corresponding to the target recommended product combination, in response to the triggered operation of the product keywords in the recommended product combination copy, the product results page corresponding to the product keywords is displayed.

9. The method as described in claim 1, characterized in that, The method further includes: The products being sold and the target product may belong to the same store or different stores.

10. A data processing method, characterized in that, include: Display the product details page of the target product, wherein the product details page includes target media content of the target product's complementary products, and the target media content is determined based on the target product and at least one preset reference dimension; In response to a triggered operation on the target media content, an information browsing page for the accompanying products is displayed.

11. The method as described in claim 10, characterized in that, The page displaying the information about the paired products includes: The information browsing page displays dimension information subpages corresponding to each preset reference dimension, wherein each dimension information subpage displays the target media content corresponding to each preset reference dimension.

12. A data processing method, characterized in that, include: Receive access requests from the target account for the product details page corresponding to the target product; Obtain the account preference information corresponding to the target account, and obtain the target published content corresponding to the target product; Initial media content for the target product is generated based on the target published content; Based on the account preference information, the target media content corresponding to the target account is determined from the initial media content; The target media content is added to the product details page and sent to the target account.

13. The method as described in claim 12, characterized in that, Obtaining the target published content corresponding to the target product includes: Obtain the product query information corresponding to the target product; Based on the product query information, the target published content corresponding to the target product is determined in the published content library.

14. The method as described in claim 13, characterized in that, Obtaining the product query information corresponding to the target product includes: Obtain at least one of the following: product image, product description information, and product keywords corresponding to the target product.

15. The method as described in claim 12, characterized in that, Generate initial media content for the target product based on the target published content, including: The target content is input into a text parsing model to obtain initial media content for the target product, wherein the initial media content includes product keywords corresponding to the product.

16. The method as described in claim 15, characterized in that, Based on the account preference information, the target media content corresponding to the target account is determined from the initial media content, including: Obtain the product keywords corresponding to the initial media content; Based on the account preference information, the matching product keywords are determined from each product keyword, and the initial media content corresponding to the matching product keywords is determined as the target media content.

17. A data processing method, characterized in that, include: Receive access requests from the target account for the product details page corresponding to the target product; Obtain the account preference information corresponding to the target account, and obtain the product attribute information corresponding to the target product; The initial media content is determined based on the product attribute information and at least one preset reference dimension; Based on the account preference information, the target media content corresponding to the target account is determined from the initial media content; The target media content is added to the product details page and sent to the target account.

18. The method as described in claim 17, characterized in that, The initial media content is determined based on the product attribute information and at least one preset reference dimension, including: The product attribute information and each preset reference dimension are input into the product recommendation model to obtain the initial media content corresponding to each preset reference dimension output by the product recommendation model. The initial media content includes recommendation scenario information, recommendation copy information, and product keywords corresponding to the paired products.

19. The method as described in claim 18, characterized in that, Based on the account preference information, the target media content corresponding to the target account is determined from the initial media content, including: Obtain the product keywords corresponding to the initial media content; Based on the account preference information, the matching product keywords are determined from each product keyword, and the initial media content corresponding to the matching product keywords is determined as the target media content.

20. A computing device, characterized in that, include: Memory and processor; The memory is used to store computer programs / instructions, and the processor is used to execute the computer programs / instructions, which, when executed by the processor, implement the steps of the method according to any one of claims 1 to 19.

21. A computer-readable storage medium storing a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 19.

22. A computer program product, comprising a computer program / instructions, characterized in that, When the computer program / instructions are executed by the processor, they implement the steps of the method according to any one of claims 1 to 19.

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