Method, device and electronic equipment for displaying item data on an intelligent conversation page

Abstract

This disclosure discloses a method, apparatus, and electronic device for displaying item data on a smart conversation page. One specific implementation of the method includes: in response to determining to display a recommendation interface on the platform's smart conversation page, displaying main item data, a first retrieval control, and smart recommendation information from target combination item data in a first area of ​​the recommendation interface; wherein the target combination item data is selected from preset item combination scheme data, and the first retrieval control is used to retrieve the main item; and displaying complementary item data from the target combination item data in a second area of ​​the recommendation interface, with a second retrieval control provided in the display area of ​​each complementary item, wherein the second retrieval control is used to retrieve the complementary item; wherein the visual hierarchy of the first area is higher than that of the second area. This implementation relates to e-commerce platform optimization technology, which can introduce customized schemes into the platform's intelligent (i.e., AI) assistant, thereby displaying product packages and recommendation reasons on the AI ​​assistant's conversation page. This not only enriches the product display methods, but also allows the AI ​​assistant to intelligently analyze the required products based on the user's dialogue content. This helps reduce user operations and increase the platform's order volume.

Description

Technical Field

[0001] The embodiments disclosed herein relate to the field of e-commerce platform optimization technology, specifically to methods, apparatus, and electronic devices for displaying item data on a smart chat page. Background Technology

[0002] Current e-commerce platforms (such as instant retail applications) typically display product information in the form of pages, and the details page of ordinary products often only displays information about a single product.

[0003] However, the inventors discovered that while some product detail pages displayed bundled items, the hierarchy between primary and secondary products was not clear enough, and there was a lack of relevant reasons for recommending them. Users found it difficult to understand the value of bundled purchases, thus affecting the number of orders for bundled items.

[0004] Furthermore, while the platform does launch themed events, the event pages typically only display a list of related products, lacking a hierarchy of primary and secondary products. This results in low user efficiency when selecting desired items, negatively impacting conversion rates.

[0005] The information disclosed in this background section is only intended to enhance the understanding of the background of the inventive concept, and therefore may contain information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0006] The summary portion of this disclosure is intended to provide a brief overview of the concepts, which will be described in detail in the detailed description portion. This summary portion is not intended to identify key or essential features of the claimed technical solutions, nor is it intended to limit the scope of the claimed technical solutions.

[0007] Some embodiments of this disclosure provide methods, apparatus, electronic devices, computer-readable media, and computer program products for displaying item data on a smart chat page, in order to solve one or more of the technical problems mentioned in the background section above.

[0008] In a first aspect, some embodiments of this disclosure provide a method for displaying item data on a smart conversation page, comprising: in response to determining to display a recommendation interface on the smart conversation page of the platform, displaying main item data, a first acquisition control, and smart recommendation information in a first area of ​​the recommendation interface, wherein the target combination item data is selected from preset item combination scheme data, and the first acquisition control is used to acquire the main item; displaying matching item data in a second area of ​​the recommendation interface, and providing a second acquisition control in the display area of ​​each matching item, wherein the second acquisition control is used to acquire the matching item; wherein the visual hierarchy of the first area is higher than that of the second area.

[0009] In some embodiments, a one-click acquisition control is also provided in the recommendation interface; the method further includes: in response to detecting that the one-click acquisition control is triggered, determining the inventory status of the main item and the matching item currently displayed in the recommendation interface; adding the currently displayed main item and matching item to the platform's pre-acquisition list according to the inventory status; and generating feedback information based on the item addition status.

[0010] In some embodiments, generating feedback information based on the item addition status includes: in response to determining that at least some of the main items and complementary items currently displayed have inventory, displaying a dynamic trajectory effect of the one-click acquisition control moving to the pre-acquisition control, wherein the smart conversation page also includes a pre-acquisition control for displaying the pre-acquisition list page; and updating the badge state of the pre-acquisition control based on the number of items added to the platform's pre-acquisition list, wherein the badge state is used to represent the number of items in the pre-acquisition list.

[0011] In some embodiments, generating feedback information based on the item addition status further includes: in response to determining that some items in the currently displayed main item and complementary items are out of stock, generating a prompt message for items that are out of stock but not added to the pre-acquisition list.

[0012] In some embodiments, a similar item control is also provided in the display area of ​​each matching item, wherein the similar item control has a collapsible / expandable interactive function; the method further includes: in response to detecting that the similar item control corresponding to a certain matching item is triggered, analyzing and obtaining a set of candidate similar items with similar attributes to the matching item on the platform; selecting candidate similar items with inventory from the set of candidate similar items as the set of similar items for the matching item; and displaying the similar item data in the set of similar items in the third area corresponding to the matching item in the recommendation interface.

[0013] In some embodiments, in the recommendation interface, a third area corresponding to the matching item displays similar item data from a set of similar items, including: displaying similar item data from a set of similar items below the display area of ​​the matching item; and setting a third retrieval control in the display area of ​​each similar item, wherein the third retrieval control is used to retrieve similar items.

[0014] In some embodiments, analyzing and obtaining a set of candidate similar items with similar attributes to the paired item on the platform includes: generating similar item request data for the paired item based on the context information of the recommendation interface in the smart conversation page and the attribute data of the paired item; determining whether a set of candidate similar items corresponding to the similar item request data is stored; in response to determining that there is no corresponding set of candidate similar items, obtaining a set of candidate similar items for the paired item through an artificial intelligence model; establishing a correspondence between the set of candidate similar items for the paired item and the similar item request data and storing it.

[0015] In some embodiments, the method further includes: analyzing and extracting activity content from the item combination scheme data, wherein the activity content includes at least one of the following: a main title, a subtitle, and visual content; displaying the activity content in a designated area of ​​the recommendation interface; and maintaining the recommendation interface in the display area of ​​the smart conversation page.

[0016] In some embodiments, the method further includes: in response to detecting that a jump link is triggered, obtaining relevant parameter data from the jump link, wherein the jump link is set on a third-party platform and / or a platform and contains a preset item combination scheme identifier; obtaining item combination scheme data according to the item combination scheme identifier in the parameter data, and selecting target combination item data from the item combination scheme data; and displaying a recommendation interface containing the target combination item data on the platform's smart conversation page.

[0017] In some embodiments, the method further includes: triggering a jump link, wherein the triggering flag is used to cause the recommendation interface to be displayed only once in the smart conversation page within a set time period; and in response to detecting that a user is browsing a historical recommendation interface in the smart conversation page, processing the relevant access controls in the historical recommendation interface to make them inoperable.

[0018] Secondly, some embodiments of this disclosure provide an apparatus for displaying item data on a smart conversation page, comprising: a main item display unit configured to display a recommendation interface on the smart conversation page of the platform in response to determining that a recommendation interface is to be displayed on the smart conversation page of the platform; in a first area of ​​the recommendation interface, main item data, a first acquisition control, and smart recommendation information from target combination item data are displayed, wherein the target combination item data is selected from preset item combination scheme data, and the first acquisition control is used to acquire the main item; and a matching item display unit configured to display matching item data from the target combination item data in a second area of ​​the recommendation interface, wherein a second acquisition control is provided in the display area of ​​each matching item, wherein the second acquisition control is used to acquire the matching item; wherein the visual hierarchy of the first area is higher than that of the second area.

[0019] In some embodiments, a one-click acquisition control is also provided in the recommendation interface; the device further includes a one-click acquisition unit configured to, in response to detecting that the one-click acquisition control is triggered, determine the inventory status of the main item and the matching item currently displayed in the recommendation interface; add the currently displayed main item and matching item to the platform's pre-acquisition list simultaneously according to the inventory status; and generate feedback information based on the item addition status.

[0020] In some embodiments, the one-click retrieval unit is further configured to, in response to determining that at least some of the main items and complementary items currently displayed are in stock, display a dynamic trajectory effect of the one-click retrieval control moving to the pre-retrieval control, wherein the smart conversation page also includes a pre-retrieval control for displaying a pre-retrieval list page; and update the badge state of the pre-retrieval control according to the number of items added to the pre-retrieval list on the platform, wherein the badge state is used to represent the number of items in the pre-retrieval list.

[0021] In some embodiments, the one-click acquisition unit is further configured to generate a prompt message in response to determining that some items in the currently displayed main items and complementary items are out of stock, for items that are out of stock and not added to the pre-acquisition list.

[0022] In some embodiments, a similar item control is also provided in the display area of ​​each matching item, wherein the similar item control has a fold / expand interactive function; the device also includes a similar item display unit, configured to, in response to the detection that a similar item control corresponding to a certain matching item is triggered, analyze and obtain a set of candidate similar items on the platform that have similar attributes to the matching item; select candidate similar items with inventory from the set of candidate similar items as the set of similar items for the matching item; and display the similar item data in the set of similar items in the third area corresponding to the matching item in the recommendation interface.

[0023] In some embodiments, the similar item display unit is further configured to display similar item data in the similar item set below the display area of ​​the matching items; and a third acquisition control is provided in the display area of ​​each similar item, wherein the third acquisition control is used to acquire similar items.

[0024] In some embodiments, the similar item display unit is further configured to generate similar item request data for the paired item based on the context information of the recommendation interface in the smart conversation page and the attribute data of the paired item; determine whether there is a candidate similar item set corresponding to the similar item request data; in response to determining that there is no corresponding candidate similar item set, analyze and obtain the candidate similar item set for the paired item through an artificial intelligence model; establish a correspondence between the candidate similar item set for the paired item and the similar item request data and store it.

[0025] In some embodiments, the device further includes: an activity display unit configured to analyze and extract activity content of the scheme from the item combination scheme data, wherein the activity content includes at least one of the following: a main title, a subtitle, and visual content; displaying the activity content in a designated area of ​​the recommendation interface; and an area control unit configured to keep the recommendation interface in the display area of ​​the smart conversation page.

[0026] In some embodiments, the device further includes a data acquisition unit configured to, in response to detecting that a jump link is triggered, acquire relevant parameter data from the jump link, wherein the jump link is set on a third-party platform and / or a platform and contains a preset item combination scheme identifier; acquire item combination scheme data according to the item combination scheme identifier in the parameter data, and select target combination item data from the item combination scheme data; and display a recommendation interface containing the target combination item data on the platform's smart conversation page.

[0027] In some embodiments, the apparatus further includes: a marking unit configured to trigger a jump link, wherein the triggering mark is used to cause the recommendation interface to be displayed only once in the smart session page within a set time period; and a control processing unit configured to process relevant access controls in the historical recommendation interface in response to detecting that a user is browsing the historical recommendation interface in the smart session page, so as to make them inoperable.

[0028] Thirdly, some embodiments of this disclosure provide an electronic device, including: one or more processors; and a storage device having one or more programs stored thereon, wherein when the one or more programs are executed by the one or more processors, the one or more processors implement the method for displaying item data on a smart conversation page as described in any of the implementations of the first aspect above.

[0029] Fourthly, some embodiments of this disclosure provide a computer-readable medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the method for displaying item data on a smart conversation page as described in any of the implementations of the first aspect above.

[0030] Fifthly, some embodiments of this disclosure provide a computer program product, including a computer program that, when executed by a processor, implements the method for displaying item data on a smart conversation page as described in any of the implementations of the first aspect above.

[0031] The various embodiments disclosed above have the following beneficial effects: The method for displaying item data on a smart conversation page according to some embodiments of this disclosure can facilitate user browsing and understanding, and help improve the platform's product conversion rate and order volume. Specifically, on existing e-commerce platforms, although some product detail pages display bundled products, the hierarchy between primary and secondary products is not clear enough, and relevant recommendation reasons are lacking. Users find it difficult to understand the value of bundled purchases, thus affecting the number of orders for bundled products. In addition, although platforms also launch themed activities, the activity pages usually only display a list of related products, lacking a hierarchy between primary and secondary products. Users have to select the desired products, resulting in low operational efficiency and affecting product conversion rates.

[0032] Based on this, some embodiments of the present disclosure provide a method for displaying item data on a smart conversation page. This method can display a recommendation interface containing combined item data from a preset scheme on the platform's smart (assistant) conversation page. Specifically, the main item data is displayed in a first area of ​​the recommendation interface, and the accompanying item data is displayed in a second area. The first area has a higher visual hierarchy than the second area, allowing users to clearly distinguish between the main and auxiliary items in a product package. The recommendation interface also displays intelligent recommendation information, allowing users to understand the advantages and reasons for recommending the combined items (and / or the main item). This helps increase users' intention to place combined orders and improves the order volume of combined items. Each item display area also includes a retrieval control (such as an add-to-cart button), allowing users to select individual items to place orders to meet different user needs. Furthermore, compared to page display, the smart assistant can intelligently analyze and display the user's desired items based on the user's conversation content on the conversation page. This eliminates the need for users to perform search operations, reducing user actions and contributing to improved user experience and platform order volume. Attached Figure Description

[0033] The above and other features, advantages, and aspects of the embodiments of this disclosure will become more apparent from the accompanying drawings and the following detailed description. Throughout the drawings, the same or similar reference numerals denote the same or similar elements. It should be understood that the drawings are schematic, and elements are not necessarily drawn to scale.

[0034] Figure 1 This is a flowchart of some embodiments of the method for displaying item data on a smart conversation page disclosed herein; Figure 2 These are schematic diagrams of some embodiments of the recommendation interface; Figure 3 These are schematic diagrams illustrating some embodiments of displaying the recommendation interface on the intelligent conversation page; Figure 4 This is a flowchart of yet another embodiment of the method for displaying item data on a smart conversation page disclosed herein; Figure 5 These are illustrations of some application scenarios of the method disclosed in this paper for displaying item data on a smart conversation page; Figure 6 This is a schematic diagram of the structure of some embodiments of the device for displaying item data on a smart conversation page disclosed herein; Figure 7 This is a schematic diagram of the structure of an electronic device suitable for implementing some embodiments of the present disclosure. Detailed Implementation

[0035] Embodiments of this disclosure will now be described in more detail with reference to the accompanying drawings. While some embodiments of this disclosure are shown in the drawings, it should be understood that this disclosure can be implemented in various forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided to provide a more thorough and complete understanding of this disclosure. It should be understood that the accompanying drawings and embodiments of this disclosure are for illustrative purposes only and are not intended to limit the scope of protection of this disclosure.

[0036] It should also be noted that, for ease of description, only the parts relevant to the invention are shown in the accompanying drawings. Unless otherwise specified, the embodiments and features described in this disclosure can be combined with each other.

[0037] It should be noted that the concepts of "first" and "second" mentioned in this disclosure are used only to distinguish different devices, modules or units, and are not used to limit the order of functions performed by these devices, modules or units or their interdependencies.

[0038] Furthermore, the terms “a” and “a plurality” used in this disclosure are illustrative rather than restrictive, and those skilled in the art should understand that, unless otherwise expressly indicated in the context, they should be understood as “one or more”.

[0039] Figure 1 A flow 100 is shown illustrating some embodiments of a method for displaying item data on a smart conversation page according to this disclosure. The method may include the following steps: Step 101: In response to determining that a recommendation interface is displayed on the platform's smart conversation page, the first area of ​​the recommendation interface displays the main item data, the first acquisition control, and the smart recommendation information from the target composition item data.

[0040] In some embodiments, the entity executing the method for displaying item data on a smart conversation page (such as a platform server) can communicate with other electronic devices (such as user terminals, third-party servers, etc.) via wired or wireless connections. Here, various e-commerce platform applications, such as shopping apps and instant retail apps, can be installed on the user terminal. Users can place orders for goods through these platform applications. Furthermore, with the development of artificial intelligence technology, these platforms will also include intelligent assistants to enhance the user experience.

[0041] In some embodiments, when the implementing entity determines that the recommendation interface should be displayed on the platform's intelligent conversation page (i.e., the AI ​​assistant conversation page), such as... Figure 2 As shown, the first area of ​​the recommendation interface displays the main item data, the first retrieval control, and intelligent recommendation information from the target combination item data. This target combination item data is selected from preset item combination scheme data. In other words, for products on the platform, multiple product packages can be pre-customized for selection and display.

[0042] Here, the main item typically refers to the featured item in the target product set (product package). The first fetch control can be used to fetch the main item, such as... Figure 2 The "Add to Cart" button ("+") allows you to add the main item to your pre-fetch list (e.g., shopping cart). Smart recommendation information (such as...) Figure 2 AI-powered recommendations can be used to describe the advantages, features, and reasons for recommendation of the main item and / or the target combination of items, making it easier for users to understand item information and value. This intelligent recommendation information can be pre-set or derived by the AI ​​assistant based on item data analysis. Furthermore, the aforementioned first area can be any area within the recommendation interface. It is understood that, to facilitate user differentiation and focus on the main item, the first area is typically placed in the first area viewed, following the browsing order of the recommendation interface. For example... Figure 2 The top-to-bottom browsing order shown allows you to place the first area in the upper half of the recommendations screen. This way, when browsing the recommendations screen, users will first see the main item data.

[0043] In some embodiments, users can trigger the display of a recommendation interface on the smart conversation page in various ways. For example, for items on the platform, various item combination schemes can be preset, and this data can be displayed on third-party platforms and / or the platform itself in the form of advertisements. Third-party platforms can include, but are not limited to, video or short video platforms, browsers, instant messaging applications, learning applications, and novel platforms. When a user clicks on an advertisement link, they will be redirected to the platform where the executing entity is located, thereby triggering the display of the recommendation interface on the smart conversation page of that platform. Related controls can also be set on the smart conversation page, such as recipe recommendations and seasonal limited-edition items. When a user triggers this control, the recommendation interface will be displayed on the conversation page.

[0044] Specifically, if a redirect link (such as a Uniform Resource Locator URL) is detected as being triggered, the executing entity can first obtain relevant parameter data from the redirect link. This redirect link can be set on a third-party platform and / or the platform itself. The redirect link contains a preset item combination scheme identifier (packageId). Next, the executing entity can obtain item combination scheme data based on the item combination scheme identifier in the parameter data. Then, the executing entity can select target item combination data from the item combination scheme data. This results in a recommendation interface containing the target item combination data being displayed on the platform's smart conversation page.

[0045] Understandably, the selection methods described above are not limited. For example, you can choose the first set of item data from the options to achieve rapid display of item data and reduce latency. Alternatively, you can select items with available stock based on their inventory status to avoid displaying invalid items. You can also analyze and select items that match the user's preferences based on their historical orders to improve product conversion rates.

[0046] In some embodiments, to facilitate the distinction between main items and complementary items in a composition, main items can be stored in a main item card, while complementary items can be stored in auxiliary item cards. For each main item in the item list of the main item card, there is a corresponding auxiliary item card. This way, the executing entity only needs to select the main item from the main item card to obtain the target composition data. Alternatively, different compositions can be stored in different item cards. Furthermore, an identifier indicating that the main item in the item card is a main item can be set for differentiation.

[0047] Step 102: In the second area of ​​the recommendation interface, display the matching item data in the target combination item data, and set a second acquisition control in the display area of ​​each matching item.

[0048] In some embodiments, the implementing entity may also display the matching item data from the target combination item data in a second area of ​​the recommendation interface. This second area can also be any area within the recommendation interface. To facilitate user differentiation between primary and secondary items, the second area is typically placed after the first area, following the browsing order of the recommendation interface. For example... Figure 2 The top-to-bottom browsing order shown allows the second area to be placed in the lower half of the recommended page. Additionally, for ease of user operation, such as... Figure 2 As shown, a second retrieval control (i.e., "+") can also be set in the display area of ​​each matching item. The second retrieval control is used to retrieve the matching item.

[0049] It should be noted that, in order to allow users to clearly distinguish between the main item and the accompanying items, the visual hierarchy of the first area in the recommendation interface should be higher than that of the second area. Visual hierarchy is a commonly used term in the field of graphic design, referring to the use of variations in visual elements such as color, size, and lines on a two-dimensional plane to create different visual effects of distance, thereby reflecting the order of importance of graphic elements and guiding the viewer's attention.

[0050] As described above, the method for displaying item data on a smart conversation page according to some embodiments of this disclosure can display a recommendation interface containing combined item data from a preset scheme on the platform's smart conversation page. Specifically, the main item data is displayed in the first area of ​​the recommendation interface, and the accompanying item data is displayed in the second area. Furthermore, the visual hierarchy of the first area is higher than that of the second area. This allows users to clearly distinguish between the main and auxiliary items in the product bundle. The recommendation interface also displays intelligent recommendation information, allowing users to understand the advantages and reasons for recommending the bundled items (and / or the main item). This helps increase users' intention to place bundled orders and improves the order volume of bundled items. Each item display area also has a selection control, allowing users to select individual items to place orders to meet different user needs. In addition, compared to page display, the intelligent assistant can intelligently analyze and display the items needed by the user based on the dialogue content on the conversation page. This eliminates the need for users to perform search operations, reducing user actions and helping to improve user experience and platform order volume.

[0051] In some embodiments, to improve the display effect of the recommendation interface, the executing entity can also analyze and extract the activity content of the scheme from the item combination scheme data. The activity content may include at least one of the following: main title, subtitle, and visual content (such as background images, activity banners, activity videos), etc. The activity content can be displayed in a designated area of ​​the recommendation interface. Figure 2As shown, the package title, promotional banner, main title, and subtitle can be displayed at the top of the recommendation interface (i.e., the product card) to convey the thematic meaning of the externally customized solution. Additionally, when the recommendation interface appears, the executing entity can also take over the general scrolling of the conversation page, keeping the user on that screen. In other words, the recommendation interface will be kept within the display area of ​​the smart conversation page to avoid interference from other conversational content.

[0052] Furthermore, such as Figure 2 As shown, a similar item control (i.e., "find similar") can be set in the display area of ​​each paired item. This similar item control has a collapse / expand interaction function and can be a collapse component. In this case, if the executing entity detects that the similar item control corresponding to a certain paired item has been triggered, it can first analyze and obtain a set of candidate similar items with similar attributes to that paired item on the platform. Then, it selects in-stock candidate similar items from the candidate similar item set as the similar item set for that paired item. That is, only products that are in stock, have an SKU (smallest stock unit) status of being available for sale, and are not obscured are retained, reducing invalid displays from the source. Afterwards, the similar item data from the similar item set is displayed in the third area corresponding to the paired item in the recommendation interface. This third area can be any area surrounding the display area of ​​the paired item. In addition, a third retrieval control is also set in the display area of ​​each similar item. This third retrieval control is used to retrieve similar items. By setting up a similar item display, the selection of items can be enriched, replacing paired items, thereby meeting the diverse needs of different users and improving the user experience.

[0053] It should be noted that the display method for paired and similar items can be set according to actual needs. For example... Figure 2 As shown, to ensure complete display of paired items, they can be displayed vertically, arranged along the long side of the recommendation interface. Similar items can be displayed horizontally, arranged along the short side of the recommendation interface. Here, when the user clicks the "Find Similar" button, the button's arrow direction changes from upward to downward, and similar item data from the similar item set is displayed below the paired item's display area. When the user clicks the "Find Similar" button again, the button's arrow direction changes from downward to upward, and the third area collapses to hide the similar item data. Optionally, paired items can also be displayed horizontally, and similar items can also be displayed vertically.

[0054] Here, the analysis method for candidate similar item sets is also unrestricted. As an example, firstly, the executing entity can generate similar item request data for the recommended item based on the context information of the smart conversation page and the attribute data of the paired item. Next, it can be determined whether a candidate similar item set corresponding to the similar item request data has been previously stored. If it is determined that there is no corresponding candidate similar item set, an artificial intelligence model can be used to analyze and obtain the candidate similar item set for the paired item. Then, a correspondence is established between the candidate similar item set and the similar item request data, and this is stored. This avoids repeated requests for the same product within the same conversation page, reducing resource consumption.

[0055] In other words, for each item combination, the system constructs request data containing the item combination scheme identifier and the item SKU, calls the similar item recommendation interface, and analyzes to obtain a set of candidate similar items. Additionally, to improve the accuracy of the analysis results, the request data can also include the session context.

[0056] In some application scenarios, to facilitate users' multi-item ordering operations, such as Figure 2 As shown, a one-click add-to-cart control (one-click addition of bundled items) can also be set in the recommendation interface. Here, if the executing entity detects that the one-click add-to-cart control has been triggered, it will first determine the inventory status of the main item and the bundled items currently displayed in the recommendation interface. Then, based on the inventory status, it will add the currently displayed main item and bundled items to the platform's pre-acquisition list. Furthermore, feedback information can be generated based on the item addition status to inform the user.

[0057] Here, if it's determined that some items among the currently displayed main items and complementary items are out of stock, a notification message can be generated to inform the user for items that are out of stock but not added to the pre-fetch list. For items that are in stock, these items can be added to the pre-fetch list. A dynamic trajectory effect can also be displayed as the one-click fetch control moves to the pre-fetch control, such as... Figure 3 The dashed line trajectory is shown in the image. The smart conversation page also includes pre-fetch controls (such as...). Figure 3 (Shopping cart icon). The prefetch control is used to display the prefetch list page. Furthermore, the executing entity can update the badge status of the prefetch control based on the number of items added to the platform's prefetch list. The badge status indicates the number of items in the prefetch list.

[0058] In other words, such as Figure 4As shown in the process, the system does not silently add items to the cart when they are displayed on the recommendation page. Bulk addition is only triggered when the user clicks the "Add Bundle Items to Cart" button. Furthermore, during one-click addition, only the main product and bundled products on the current recommendation page are collected; expanded similar products and products not displayed in the core bundle are not collected. Expanded similar products are only used for browsing and individual item operations, thus achieving isolation of the scope of additions to the cart.

[0059] In addition, a filter for adding items to the cart has been implemented. Before submission, inventory and SKU status are filtered, including only items with available stock in the batch request. For filtered items, an array of product information is generated, where each element can contain the product SKU, quantity (default 1), and service tag. The bulk add-to-cart API can then be called. Upon success, a one-click add-to-cart event is reported, the cart quantity is updated, and the light cart is refreshed. The light cart is typically the cart entry point displayed in the lower right corner of the page or a fixed location. A failure message is displayed upon failure. Furthermore, clicking the one-click add-to-cart button triggers an animation of an icon flying from the button into the cart, enhancing the feedback of bundled items being added to the cart.

[0060] Furthermore, the method in this embodiment can also implement historical message control. That is, if it is detected that a user is browsing the historical recommendation interface on the smart conversation page, the relevant acquisition controls (such as the first and second controls mentioned above) in the historical recommendation interface are processed to make them inoperable. The processing method is not limited; for example, the acquisition controls can be hidden or their functionality can be disabled. In other words, when the product card originates from a historical conversation, the front end can hide or disable the add-to-cart entry to prevent users from performing unreliable operations on expired product status.

[0061] See also Figure 5 This diagram illustrates an application scenario of the method disclosed herein. In this embodiment, when a user enters the application's AI assistant from an external business scenario entry point, and the URL contains a packageId and the external source outSource equals the external business scenario identifier, a trigger marker is set on the redirect link. This trigger marker ensures that the recommendation interface is displayed only once within a set timeframe on the smart conversation page. In other words, the application automatically sets a one-time trigger marker for the external business scenario identifier, ensuring it executes only once, thus avoiding repeated fetching of package recommendations within the same page's lifecycle. If no packageId is detected, the normal AI assistant conversation page process is executed. Furthermore, if the application's store information is not obtained from the URL or local location cache, a fallback marker is set to return displayable content using a fallback strategy.

[0062] It's important to note that if the user's terminal has features like blocking protection preventing automatic redirection, an intermediate page can be accessed. The user can then manually navigate to the application's AI assistant. This adapts to various external scenarios and terminal devices. After page initialization and loading of initial messages, the application determines that the external business scenario process has not yet been triggered and calls the session message handling method. This method constructs a request with empty text, therefore it doesn't generate a user question bubble but directly sends a skill request to the AI ​​assistant's streaming interface. In other words, the external business scenario entry point manifests as the external solution automatically entering the AI ​​assistant's session page.

[0063] Next, after the streaming interface returns a card protocol containing package card types, the message card rendering layer selects the package card component for rendering based on the card type. This component parses the package items and renders the title, banner, main product, bundled products, and the add-to-cart button separately. Both the main product and bundled products reuse the basic product component and are distinguished as main and bundled products through different event parameters.

[0064] For each bundled product, the system requests similar product recommendations based on the product SKU. The recommendations are then filtered for availability and written into a recommendation data mapping with the SKU as the key. When a user clicks "Find Similar," a horizontal list expands below the original bundled products, allowing the user to view product details or add individual items to their cart.

[0065] After the user clicks the bottom button, the system collects the main product and bundled products and filters out unsellable items. If no products are available for purchase, a message is displayed indicating that no products are currently available. If products are available for purchase, the system constructs the product information and calls the bulk purchase API. After the API call is successful, the shopping cart quantity is updated according to the quantity field returned by the API, and the lightweight shopping cart component is refreshed.

[0066] It should be noted that the following technical problems still exist in the relevant technologies: 1) External personalized suggestions are disconnected from the instant retail fulfillment process. Users need to copy product names, switch apps, search, and add products to their cart one by one, which is a long and easy process to lose users.

[0067] 2) Static package pages are difficult to adapt to changes in store inventory, product availability, and product status. This may result in issues such as package items being unavailable for purchase, buttons still being clickable, or unclear feedback after adding items to the cart failing.

[0068] 3) The scope of multi-item add-to-cart combinations lacks clear control. Including recommended items, similar products, or historically inoperable items in bulk add-to-cart can easily lead to accidental additions or shopping cart contamination.

[0069] 4) Similar product recommendations and bundled purchases are often mixed in the same purchase scope, lacking technical separation between "browseable expansion" and "one-click purchase of core bundles".

[0070] As described above, the method of this disclosure can simultaneously solve the following problems: protocol acceptance after the external solution identifier enters the AI ​​session, layered display of main products and complementary products, isolation between similar product extension positions and one-click add-to-cart range, and pre-add-to-cart filtering and feedback loop based on real-time retail store inventory status. It has the following technical innovations: An externally customized solution-driven AI assistant session combination merchant card triggering mechanism. This mechanism enables target card generation without user input and avoids duplicate triggering.

[0071] A method for rendering merchant cards with three layers of interaction boundaries: main product, complementary products, and similar products. The main product carries core information, complementary products provide combination supplements, and similar products provide expandability. The three are kept isolated in terms of display, tracking, and add-to-cart scope.

[0072] A one-click add-to-cart control mechanism with limited scope. It filters and submits only the core combination of products for sale, excluding more similar products, products with hidden buttons, unsaleable products, and historically inoperable cards.

[0073] A shopping cart feedback mechanism that incorporates bulk add-to-cart results. Based on the results returned by the bulk API, the shopping cart quantity is updated and the mini-cart is refreshed, while a "fly into cart" animation creates a closed-loop feedback loop.

[0074] A mechanism for pre-fetching and expanding similar products for bundled items. By deduplicating requests, filtering available items, and allowing users to actively expand, the mechanism ensures that alternative browsing capabilities do not interfere with the core bundled item add-to-cart functionality.

[0075] Further reference Figure 6 As a response to the above Figure 1-5 The implementation of the method shown herein provides some embodiments of a device for displaying item data on a smart conversation page. These device embodiments are related to... Figure 1-5 The methods and embodiments shown correspond to those described. This device can be specifically applied to various electronic devices.

[0076] like Figure 6As shown, some embodiments of the apparatus 600 for displaying item data on a smart conversation page may include: a main item display unit 601, configured to display a recommendation interface on the platform's smart conversation page in response to a determination, wherein the main item data, a first acquisition control, and smart recommendation information from the target combination item data are displayed in a first area of ​​the recommendation interface, wherein the target combination item data is selected from preset item combination scheme data, and the first acquisition control is used to acquire the main item; and a matching item display unit 602, configured to display matching item data from the target combination item data in a second area of ​​the recommendation interface, wherein a second acquisition control is provided in the display area of ​​each matching item, wherein the second acquisition control is used to acquire the matching item; wherein the visual hierarchy of the first area is higher than that of the second area.

[0077] In some embodiments, a one-click acquisition control is also provided in the recommendation interface; the device 600 may further include a one-click acquisition unit (not shown in the figure), configured to determine the inventory status of the main item and the matching item currently displayed in the recommendation interface in response to detecting that the one-click acquisition control is triggered; add the currently displayed main item and the matching item to the platform's pre-acquisition list simultaneously according to the inventory status; and generate feedback information according to the item addition status.

[0078] In some embodiments, the one-click retrieval unit may be further configured to, in response to determining that at least some of the main items and complementary items currently displayed are in stock, display a dynamic trajectory effect of the one-click retrieval control moving to the pre-retrieval control, wherein the smart conversation page also includes a pre-retrieval control for displaying a pre-retrieval list page; and update the badge state of the pre-retrieval control according to the number of items added to the pre-retrieval list on the platform, wherein the badge state is used to represent the number of items in the pre-retrieval list.

[0079] In some embodiments, the one-click acquisition unit may be further configured to generate a prompt message in response to determining that some items in the currently displayed main items and complementary items are out of stock, for items that are out of stock and not added to the pre-acquisition list.

[0080] In some embodiments, a similar item control is also provided in the display area of ​​each matching item, wherein the similar item control has a fold / unfold interactive function; the device 600 may further include a similar item display unit (not shown in the figure), configured to, in response to the detection that a similar item control corresponding to a certain matching item is triggered, analyze and obtain a set of candidate similar items on the platform that have similar attributes to the matching item; select candidate similar items with inventory from the set of candidate similar items as the set of similar items for the matching item; and display the similar item data in the set of similar items in the third area corresponding to the matching item in the recommendation interface.

[0081] In some embodiments, the similar item display unit may be further configured to display similar item data in the similar item set below the display area of ​​the matching items; and a third acquisition control is provided in the display area of ​​each similar item, wherein the third acquisition control is used to acquire similar items.

[0082] In some embodiments, the similar item display unit may be further configured to generate similar item request data for the paired item based on the context information of the recommendation interface in the smart conversation page and the attribute data of the paired item; determine whether there is a candidate similar item set corresponding to the similar item request data; in response to determining that there is no corresponding candidate similar item set, obtain the candidate similar item set for the paired item through artificial intelligence model analysis; establish a correspondence between the candidate similar item set for the paired item and the similar item request data and store it.

[0083] In some embodiments, the device 600 may further include: an activity display unit (not shown in the figure), configured to analyze and extract activity content of the scheme from the item combination scheme data, wherein the activity content includes at least one of the following: a main title, a subtitle, and visual content; displaying the activity content in a designated area of ​​the recommendation interface; and an area control unit (not shown in the figure), configured to keep the recommendation interface in the display area of ​​the smart conversation page.

[0084] In some embodiments, the device 600 may further include a data acquisition unit (not shown in the figure), configured to acquire relevant parameter data from the jump link in response to detecting that a jump link is triggered, wherein the jump link is set on a third-party platform and / or a platform and contains a preset item combination scheme identifier; acquire item combination scheme data according to the item combination scheme identifier in the parameter data, and select target combination item data from the item combination scheme data; and display a recommendation interface containing the target combination item data on the platform's smart conversation page.

[0085] In some embodiments, the device 600 may further include: a marking unit (not shown in the figure) configured to trigger a jump link, wherein the triggering mark is used to cause the recommendation interface to be displayed only once in the smart session page within a set time period; and a control processing unit (not shown in the figure) configured to process relevant access controls in the historical recommendation interface in response to detecting that a user is browsing the historical recommendation interface in the smart session page, so as to make them inoperable.

[0086] It is understandable that the units and references recorded in the device 600 that displays item data on the smart conversation page are related to... Figure 1-5The steps in the described method correspond accordingly. Therefore, the operations, features, and beneficial effects described above for the method also apply to the device 600 and the units contained therein that display item data on the smart conversation page, and will not be repeated here.

[0087] The following is for reference. Figure 7 It shows a schematic diagram of the structure of an electronic device 700 suitable for implementing some embodiments of the present disclosure. Figure 7 The electronic device shown is merely an example and should not be construed as limiting the functionality and scope of the embodiments of this disclosure.

[0088] like Figure 7 As shown, the electronic device 700 may include a processing unit 701 (e.g., a central processing unit, a graphics processor, etc.), which can perform various appropriate actions and processes according to a program stored in a read-only memory (ROM) 702 or a program loaded from a storage device 708 into a random access memory (RAM) 703. The RAM 703 also stores various programs and data required for the operation of the electronic device 700. The processing unit 701, ROM 702, and RAM 703 are interconnected via a bus 704. An input / output (I / O) interface 705 is also connected to the bus 704.

[0089] Typically, the following devices can be connected to I / O interface 705: input devices 706 including, for example, touchscreens, touchpads, keyboards, mice, cameras, microphones, accelerometers, gyroscopes, etc.; output devices 707 including, for example, speakers, vibrators, etc.; storage devices 708 including, for example, hard disks, disks, memory cards, etc.; and communication devices 709. Communication device 709 allows electronic device 700 to communicate wirelessly or wiredly with other devices to exchange data. Although Figure 7 An electronic device 700 with various devices is shown; however, it should be understood that it is not required to implement or possess all of the devices shown. More or fewer devices may be implemented or possessed alternatively. Figure 7 Each box shown can represent a device or multiple devices as needed.

[0090] In particular, according to some embodiments of this disclosure, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, some embodiments of this disclosure include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication device 709, or installed from storage device 708, or installed from ROM 702. When the computer program is executed by processing device 701, it performs the functions defined in the methods of some embodiments of this disclosure.

[0091] It should be noted that, in some embodiments of this disclosure, the computer-readable medium may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In some embodiments of this disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In some embodiments of this disclosure, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such propagated data signals may take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. A computer-readable signal medium can be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to: wires, optical fibers, RF (radio frequency), etc., or any suitable combination thereof.

[0092] In some implementations, clients and servers can communicate using any currently known or future-developed network protocol such as HTTP (Hypertext Transfer Protocol) and can interconnect with digital data communication (e.g., communication networks) of any form or medium. Examples of communication networks include local area networks (“LANs”), wide area networks (“WANs”), the Internet (e.g., the Internet of Things), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future-developed networks.

[0093] The aforementioned computer-readable medium may be included in the aforementioned electronic device; or it may exist independently and not assembled into the electronic device. The aforementioned computer-readable medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: in response to determining to display a recommendation interface on the platform's smart conversation page, display, in a first area of ​​the recommendation interface, main item data from the target combination item data, a first acquisition control, and smart recommendation information, wherein the target combination item data is selected from preset item combination scheme data, and the first acquisition control is used to acquire the main item; in a second area of ​​the recommendation interface, display matching item data from the target combination item data, and a second acquisition control is provided in the display area of ​​each matching item, wherein the second acquisition control is used to acquire the matching item; wherein the visual hierarchy of the first area is higher than the visual hierarchy of the second area.

[0094] Furthermore, computer program code for performing operations of some embodiments of this disclosure can be written in one or more programming languages ​​or a combination thereof, including object-oriented programming languages ​​and conventional procedural programming languages. The program code can be executed entirely on the user's computer, partially on the user's computer, as a standalone software package, partially on the user's computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving remote computers, the remote computer can be connected to the user's computer via any type of network—including a local area network (LAN) or a wide area network (WAN)—or can be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0095] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this disclosure. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code containing one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in the block diagrams and / or flowcharts, and combinations of blocks in the block diagrams and / or flowcharts, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.

[0096] The units described in some embodiments of this disclosure can be implemented in software or hardware. The described units can also be housed in a processor; for example, a processor may be described as including a main item display unit and a complementary item display unit. The names of these units do not necessarily limit the unit itself; for example, the main item display unit may also be described as "a unit that displays the main item data from the target combination item data in a first area of ​​the recommendation interface."

[0097] The functions described above in this document can be performed at least in part by one or more hardware logic components. For example, exemplary types of hardware logic components that can be used, without limitation, include: field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), system-on-a-chip (SoCs), complex programmable logic devices (CPLDs), and so on.

[0098] Some embodiments of this disclosure also provide a computer program product, including a computer program that, when executed by a processor, implements any of the methods described above for displaying item data on a smart conversation page.

[0099] The above description is merely a selection of preferred embodiments of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A method for displaying item data on a smart conversation page, comprising: In response to determining to display a recommendation interface on the platform's smart conversation page, the first area of ​​the recommendation interface displays the main item data, a first acquisition control, and smart recommendation information from the target combination item data, wherein the target combination item data is selected from preset item combination scheme data, and the first acquisition control is used to acquire the main item; In the second area of ​​the recommendation interface, the matching item data in the target combination item data is displayed, and a second acquisition control is set in the display area of ​​each matching item, wherein the second acquisition control is used to acquire the matching item; The visual hierarchy of the first region is higher than that of the second region.

2. The method for displaying item data on a smart conversation page according to claim 1, wherein, The recommendation interface also includes a one-click retrieval control; The method further includes: In response to the detection that the one-click acquisition control has been triggered, the inventory status of the main item and matching items currently displayed in the recommendation interface is determined; Based on inventory status, both the currently displayed main item and accompanying items are simultaneously added to the platform's pre-acquisition list; and Feedback information is generated based on the items added.

3. The method for displaying item data on a smart conversation page according to claim 2, wherein, The process of generating feedback information based on the addition of items includes: In response to determining that at least some of the currently displayed main items and complementary items are in stock, a dynamic trajectory effect is displayed showing the movement from the one-click fetch control to the pre-fetch control. The smart conversation page also includes the pre-fetch control, which is used to display a pre-fetch list page. The badge state of the pre-fetch control is updated based on the number of items added to the pre-fetch list of the platform, wherein the badge state is used to represent the number of items in the pre-fetch list.

4. The method for displaying item data on a smart conversation page according to claim 2, wherein, The process of generating feedback information based on the addition of items also includes: In response to the determination that some items in the currently displayed main items and complementary items are out of stock, a prompt message is generated for items that are out of stock but not added to the pre-fetch list.

5. The method for displaying item data on a smart conversation page according to claim 1, wherein, Each display area for paired items also includes a similar item control, which has a fold / unfold interactive function; The method further includes: In response to the detection that a similar item control corresponding to a certain matching item is triggered, the system analyzes and obtains a set of candidate similar items on the platform that have similar attributes to the matching item. Select the candidate similar items that are in stock from the candidate similar item set, and use them as the similar item set for the matching item; In the recommended interface, the third area corresponding to the matching items displays similar item data from the similar item set.

6. The method for displaying item data on a smart conversation page according to claim 5, wherein, The third area in the recommendation interface corresponding to the matching items displays similar item data from the similar item set, including: Below the display area for the paired items, similar item data from the similar item set is displayed; and A third acquisition control is provided in each display area of ​​similar items, wherein the third acquisition control is used to acquire similar items.

7. The method for displaying item data on a smart conversation page according to claim 5, wherein, The analysis obtains a set of candidate similar items on the platform that have similar attributes to the paired item, including: Based on the context information of the recommendation interface on the smart conversation page, and the attribute data of the matching item, generate similar item request data for the matching item; Determine whether a set of candidate similar items corresponding to the similar item request data is stored; In response to the determination that there is no corresponding set of candidate similar items, the set of candidate similar items for the paired items is obtained through analysis using an artificial intelligence model; Establish and store the corresponding relationships between the candidate set of similar items and the similar item request data for the matching items.

8. The method for displaying item data on a smart conversation page according to claim 1, wherein, The method further includes: From the item combination scheme data, the activity content of the scheme is analyzed and extracted, wherein the activity content includes at least one of the following: main title, subtitle and visual content; The activity content is displayed in a designated area of ​​the recommendation interface; and Keep the recommendation interface in the display area of ​​the smart conversation page.

9. The method for displaying item data on a smart conversation page according to any one of claims 1-8, wherein, The method further includes: In response to the detection that a redirect link has been triggered, relevant parameter data is obtained from the redirect link, wherein the redirect link is set on a third-party platform and / or the platform, and contains a preset item combination scheme identifier; Based on the item combination scheme identifier in the parameter data, obtain the item combination scheme data, and select the target combination item data from the item combination scheme data; The platform's smart conversation page displays a recommendation interface containing data on the target composition of the product.

10. The method for displaying item data on a smart conversation page according to claim 9, wherein, The method further includes: The jump link is marked with a trigger flag, wherein the trigger flag is used to make the recommendation interface be displayed only once on the smart conversation page within a set time period; In response to detecting that a user is browsing the history recommendation interface in the smart conversation page, the relevant acquisition controls in the history recommendation interface are processed to make them inoperable.

11. A device for displaying item data on a smart conversation page, comprising: The main item display unit is configured to display a recommendation interface on the platform's smart conversation page in response to a determination. In the first area of ​​the recommendation interface, the main item data, a first acquisition control, and smart recommendation information from the target combination item data are displayed. The target combination item data is selected from preset item combination scheme data, and the first acquisition control is used to acquire the main item. The matching item display unit is configured to display matching item data in the target combination item data in the second area of ​​the recommendation interface, and a second acquisition control is provided in the display area of ​​each matching item, wherein the second acquisition control is used to acquire the matching item; The visual hierarchy of the first region is higher than that of the second region.

12. An electronic device, comprising: One or more processors; Storage device, on which one or more programs are stored, When the one or more programs are executed by the one or more processors, the one or more processors implement the method for displaying item data on a smart conversation page as described in any one of claims 1-10.

13. A computer-readable medium having a computer program stored thereon, wherein, When the computer program is executed by the processor, it implements the method for displaying item data on a smart conversation page as described in any one of claims 1-10.

14. A computer program product comprising a computer program that, when executed by a processor, implements the method for displaying item data on a smart conversation page as described in any one of claims 1-10.

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