Article page generation method and device, storage medium and program product

Abstract

The embodiment of the invention provides an article page generation method and device, a storage medium and a program product. In the embodiment of the invention, the user can search the search result item which is issued by the target platform and points to the first target article page based on the search word, and jump to the first target article page based on the search result item which points to the first target article page. Furthermore, the first target article comprises a plurality of display areas, the first area displays multi-modal article content which is related to the search terms and generated by an AI multi-modal generation model based on artificial intelligence, and a knowledge plaza page can be entered through entry information of the second area. And the user can continue to view any article page under any category of information through the knowledge square page. The user can view more related article pages through the searched article page, so that the page structure can provide more abundant related information which the user is interested in for the user, the information requirement of the user is met, and the flow of the user is attracted.

Description

Technical Field

[0001] This application relates to the field of computer processing technologies, and in particular, to an article page generation method, device, storage medium, and program product. Background Art

[0002] With the continuous development of mobile Internet technologies, attracting user traffic by publishing relevant articles on service platforms has become a mainstream trend. Taking a home service platform as an example, for merchants cooperating with the platform to recruit users, the home service platform can generate promotional articles based on the personalized information of the merchants and publish the promotional articles in the form of pages to attract user traffic through the promotional articles.

[0003] Currently, the information that users can learn from promotional articles is limited and cannot meet the information needs of users. Moreover, the content form of the articles is relatively single and the article content remains unchanged after being published. If the article was published a long time ago, it may also not meet the current information needs of users, resulting in an unsatisfactory effect of user drainage based on promotional articles. Summary of the Invention

[0004] Multiple aspects of this application provide an article page generation method, device, storage medium, and program product to solve the problem of unsatisfactory user drainage effect based on promotional articles and improve the user drainage effect.

[0005] An embodiment of this application also provides an article page generation method, including: periodically obtaining popular search terms and popular comments; determining hot topics within the current period based on the popular search terms and popular comments, and each hot topic belongs to a category information; if the hot topics in the current period change compared to the hot topics in the previous period, obtaining historical article content related to the target hot topic that has changed; inputting the target hot topic, the category information to which the target hot topic belongs, and the historical article content into a multi-modal generation model, and generating multi-modal content for the target hot topic and related historical article content under the same category information to obtain article content corresponding to each category information.

[0006] An embodiment of this application also provides an electronic device, including: a memory and a processor; the memory is used to store a computer program; the processor is coupled to the memory and is used to execute the computer program to implement the steps in the above methods.

[0007] An embodiment of this application also provides a computer-readable storage medium storing a computer program, and when the computer program is executed by a processor, the processor is caused to implement the steps in the above methods.

[0008] The embodiments of the present application also provide a computer program product, which includes computer programs / instructions. When the computer programs / instructions are executed by a processor, the processor can implement the steps in the above-mentioned various methods.

[0009] In the embodiments of the present application, by periodically obtaining the popular search terms and popular comments corresponding to at least one category information, the article content corresponding to each category information generated by using the AI multimodal generation model based on artificial intelligence has a certain periodicity and is the popular topic content in the current period. Moreover, the generated content is multimodal with rich comparison forms, which can meet the information needs of users in the current period, thereby attracting user traffic. In addition, according to the target page structure, the target article page corresponding to each category information can be obtained. For example, if the page structure includes a first area and a second area, the article content corresponding to each category information can be added to the first area of the target page structure respectively. The second area includes the entry information pointing to the knowledge square page. Then, through a searched article page, the user can view more relevant article pages. Such a page structure can provide the user with more rich and user-interested relevant information, meet the user's information needs, and thereby attract user traffic. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The schematic embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation to the present application. In the drawings:

[0011] Figure 1 is a schematic structural diagram of an information processing system provided by an exemplary embodiment of the present application;

[0012] Figure 2a is a schematic diagram of a page provided by an exemplary embodiment of the present application;

[0013] Figure 2b is a schematic diagram of another page provided by another exemplary embodiment of the present application;

[0014] Figure 2c is a schematic diagram of yet another page provided by yet another exemplary embodiment of the present application;

[0015] Figure 2d is a schematic diagram of yet another page provided by yet another exemplary embodiment of the present application;

[0016] Figure 2e is a schematic diagram of yet another page provided by yet another exemplary embodiment of the present application;

[0017] Figure 2f is a schematic diagram of yet another page provided by yet another exemplary embodiment of the present application;

[0018] Figure 2g A schematic diagram of another page provided for another exemplary embodiment of the present application;

[0019] Figure 2h A schematic diagram of another page provided for another exemplary embodiment of the present application;

[0020] Figure 2i A schematic diagram of another page provided for another exemplary embodiment of the present application;

[0021] Figure 2j A schematic diagram of another page provided for another exemplary embodiment of the present application;

[0022] Figure 2k A schematic diagram of another page provided for another exemplary embodiment of the present application;

[0023] Figure 2l A schematic diagram of another page provided for another exemplary embodiment of the present application;

[0024] Figure 2m A schematic diagram of another page provided for another exemplary embodiment of the present application;

[0025] Figure 3 A schematic flowchart of a method for generating an article page provided for an exemplary embodiment of the present application;

[0026] Figure 4 A schematic diagram of the structure of an electronic device provided for an exemplary embodiment of the present application. Detailed implementation manners

[0027] To make the objectives, technical solutions, and advantages of the present application clearer, the technical solutions of the present application will be clearly and completely described below in conjunction with specific embodiments of the present application and the corresponding drawings. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope of protection of the present application.

[0028] 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 for analysis, stored data, displayed data, etc.) involved in the present application are all information and data that have been authorized by the user or fully authorized by all parties, and the collection, use, and processing of relevant data need to comply with relevant laws, regulations, and standards of relevant countries and regions, and corresponding operation entrances are provided for the user to select authorization or rejection.

[0029] In view of the technical problem that the effect of user drainage based on promotional articles is not ideal, in the embodiments of the present application, at least one popular search term and popular comment corresponding to category information are periodically obtained, and the article content corresponding to each category information generated by the AI multimodal generation model based on artificial intelligence has a certain periodicity and is a popular topic content within the current period. Moreover, the generated content is multimodal and has a relatively rich form, which can meet the information needs of users within the current period, thereby attracting user traffic. In addition, according to the target page structure, the target article page corresponding to each category information can be obtained. For example, if the page structure includes a first area and a second area, the article content corresponding to each category information can be added to the first area of the target page structure respectively. The second area includes the entry information pointing to the knowledge square page. Then, through a searched article page, users can view more relevant article pages. Such a page structure can provide users with more rich and user-interested relevant information, meet the information needs of users, and thereby attract user traffic.

[0030] The following will describe in detail a solution provided by the embodiments of the present application with reference to the accompanying drawings.

[0031] Figure 1 It is a schematic structural diagram of an information processing system provided by an exemplary embodiment of the present application. As Figure 1 shown, the system includes: a user terminal 101 and a target platform 102.

[0032] In the embodiments of the present application, the user terminal refers to the device used by users to access Internet information resources, that is, the user terminal can serve as the entry for users to interact with Internet content and services. The implementation form of the user terminal in this embodiment is not limited. For example, the user terminal can be a smart handheld device, such as a smart phone, a tablet computer, a laptop computer or a desktop computer, etc.; for another example, the user terminal can also be a smart wearable device, such as a smart watch, a smart bracelet, etc.; for still another example, the user terminal can also be various smart home appliances with a display screen, such as a smart TV, a smart large screen or a smart robot, etc. In addition, various application programs can be installed on the user terminal. The application programs can be independent running APPs or small programs that depend on independent APPs, and this is not limited. For example, the application program can be a browser application program (abbreviated as browser), a smart search application program, a service application program (used to provide various information, such as service information), etc. Among them, the service application program can be, for example, a housekeeping service application program, a housing transaction application program, a shopping application program or a comprehensive application program that combines the functions of these application programs.

[0033] A browser is an application used to retrieve, present, and browse information resources transmitted over the Internet. Here, the information resources mainly refer to web page information resources. Users can access web page information resources through a browser running on a user terminal. That is, the user terminal provides a hardware platform for the user, and the browser provides software functions. The two work together to provide users with a complete Internet experience. In practical applications, users can request web pages from a server by entering the web address information of the web page in the browser or using a search engine, and receive the web page data returned by the server. It should be noted that the server here can be the server of the browser or the server of other applications (such as the server of a domestic service application). Further, the browser can parse this data (such as HTML, CSS, JavaScript, etc.) and render it into a web page interface that users can interact with on the user terminal. Or, after the user requests the address information of the web page from the server by entering the web address of the web page in the browser or using a search engine, the user can jump to the corresponding web page according to the web address information of the web page.

[0034] A search engine is an online tool or service that allows users to quickly search for, retrieve, and access information on the Internet. In other words, a browser can serve as a host application to provide a platform for users to access and browse Internet resources. A search engine can be embedded in the browser as a component or function of the browser, enabling users to directly enter the search engine page from the browser to conduct searches; or, users can also search for the search engine by entering the address information of the search engine in the browser, enabling users to directly conduct information searches based on the search terms through the search engine page displayed by the browser. Regardless of which of the above methods is used for information search, the search engine can rely on the browser to provide a user interface and a network connection so that users can enter search terms and view search results. The browser relies on the search engine to provide a search function to enhance the user experience and enable users to quickly search for information that matches the search terms.

[0035] In practical applications, a browser can set a default search engine, and users can also customize and select other search engines built into the browser. Specifically, users can directly enter search terms in the address bar or search bar of the browser, and the browser will forward these search terms to the default or user-customized selected search engine for information search. The search results of the search engine are displayed to the user through the browser, and the browser is responsible for rendering the search result page. In addition, the browser can be associated with other business platforms (such as the target platform) so that any search engine built into the browser can search for information matching the search terms from the associated platform when conducting information search; or, any search engine built into the browser can be associated with other platforms so that when a user uses any search engine in the browser to conduct information search, the user can search for information matching the search terms from the associated platform.

[0036] In the embodiments of the present application, the search engine can also be implemented as an independently running application or a small program that depends on the application for operation, which can be called an intelligent search application. That is, the intelligent search application can not only provide a user interface and network connection so that users can enter search terms and view search results, but also provide an information search function. In addition, the intelligent search application can be associated with other business platforms (such as the target platform) so that when a user conducts information search, the user can search for information matching the search terms from the associated platform.

[0037] In addition, in addition to browsers and intelligent search applications with built-in search engines that can provide information search functions, service applications can also provide information search pages and information search functions, and various types of service information can be published in the service applications. Users can conduct information search based on search terms in the service applications to obtain search results.

[0038] In the embodiments of the present application, the above-mentioned target platform is the server side of an application installed in the user terminal, such as any service application, or it can also be the server side jointly used by multiple applications. The present application does not limit the types of applications. For example, the application can be a service application, and the service application can be, for example, a domestic service application, a housing transaction application, a shopping application, or a comprehensive application integrating the functions of these applications. The present embodiment does not limit the implementation form of the target platform. For example, the target platform can be a physical machine server, a cloud server, a server cluster, and so on.

[0039] In the embodiments of the present application, regardless of which of the above methods is used for information search, the user terminal will display a search result page corresponding to the search term. For the convenience of description and distinction, this search result page may be referred to as the first page. Among them, the first page may be a search result page generated by the user's own search operation, or a search result page shared by others with the user after generating a search result page through the above search operation. This embodiment does not make any limitations in this regard. The generation process of the first target article page and other target article pages in the following embodiments can be referred to the relevant descriptions of the following embodiments, and will not be elaborated here for the time being.

[0040] In the embodiments of the present application, the first page includes at least one result search item that matches the search term and points to at least one article page, and at least one of the article pages includes an article page published by the target platform, which is called the first target article page. In addition, this embodiment does not limit the implementation form of the at least one search result item. For example, the at least one result search item may be an interactive interface element such as a card, a link, a title, a video cover, etc.

[0041] Taking the example that the user conducts information search through the target search engine and the target search engine is associated with the target platform, the target search engine can be associated with at least one business platform (such as the target platform). When the user uses the target search engine to conduct information search, the target search engine can search for information that matches the search term from the associated multiple platforms as search results. Based on this, the display of the first page can be achieved in the following manner: in response to the search operation initiated by the user on the search page of the target search engine, according to the search term input by the user, search in the text pages provided by the business platforms associated with the target search engine to obtain at least one article page that matches the search term; where the business platforms include the target platform; further, according to the address information of the at least one article page, generate at least one search result item that points to the at least one article page, and display the at least one search result item on the first page. Among them, the address information of the article page may be the Uniform Resource Locator (URL) of this page. The URL can be regarded as a string that identifies the location of the article page. Based on this string, the user can access and obtain the content in this page through the target search engine.

[0042] This embodiment does not limit the acquisition method of the address information of at least one article page. For example, before the target search engine searches in the text pages provided by the associated business platform, the associated business platform of the target search engine pre-sends the address information of at least one article page to the target search engine, so that the target search engine can obtain the corresponding page data according to the address information of at least one article page, or the target search engine can directly jump to the corresponding page according to the address information of at least one article page. Another example is that in response to a search operation initiated by a user on the search page of the target search engine, the target search engine obtains the address information of at least one article page that matches the search term from the associated business platform, so that the target search engine can obtain the corresponding page data according to the address information of at least one article page, or the target search engine can directly jump to the corresponding page according to the address information of at least one article page.

[0043] Based on the above acquisition method of the address information of at least one article page, in response to a search operation initiated by a user on the search page of the target search engine, and according to the search term input by the user, searching in the text pages provided by the associated business platform of the target search engine to obtain at least one article page that matches the search term, at least includes the following several implementation methods:

[0044] Method 1: The associated business platform of the target search engine pre-sends the address information of at least one article page to the target search engine; in response to a search operation initiated by a user on the search page, the target search engine reads the article content in at least one article page corresponding to the address information of at least one article page from the associated business platform; when the article content matches the search term, obtain the article page corresponding to the article content to obtain at least one article page that matches the search term.

[0045] Method 2: The associated business platform of the target search engine pre-sends the address information of at least one article page to the target search engine, and the address information of at least one article page carries the corresponding category information, and the category information indicates the category to which at least one article page belongs in the associated business platform of the target search engine; in response to a search operation initiated by a user on the search page, the target search engine determines the target category information that matches the search term from the category information carried by the address information of at least one article page; according to at least one target address information corresponding to the target category information, obtain at least one article page corresponding to at least one target address information from the associated business platform of the target search engine to obtain at least one article page that matches the search term.

[0046] Further optionally, there may be multiple business platforms associated with the target search engine. The address information of at least one article page may further carry the platform identifier of the business platform to which it belongs. Then, in response to a search operation initiated by the user on the search page, the target search engine determines, from the category information carried in the address information of at least one article page, the target category information that matches the search term and its corresponding at least one target address information; and according to the platform identifier carried in the at least one target address information and the at least one target address information, obtains at least one article page corresponding to the at least one target address information from the business platform corresponding to the corresponding platform identifier, so as to obtain at least one article page that matches the search term.

[0047] Method 3: In response to a search operation initiated by the user on the search page, the target search engine searches in the text pages provided by the business platforms associated with the target search engine according to the search term input by the user, and obtains an article page whose article content matches the search term, so as to obtain at least one article page that matches the search term.

[0048] The embodiments of the present application do not limit the implementation manner of generating at least one search result item pointing to at least one article page according to the address information of at least one article page, which specifically depends on the implementation form of the search result item. The at least one search result item may be an interactive interface element such as a card, a link, a title, a video cover, etc. For example, when the implementation form of the search result item is a card, an interactive card may be generated at least according to the address information of each article page and at least one of the theme, core content, or picture content of the article content in the article page. At least one of the theme, core content, or picture content of the article content in the corresponding article page may be displayed on the cover of the card. Another example, when the implementation form of the search result is a link, an interactive link corresponding to it may be generated at least according to the address information of each article page and the theme or core content of the article content in the article page. The display form of the link includes but is not limited to: "theme / core content", "theme / core content + the address information of the corresponding article page", etc. Or, an interactive link may be directly generated according to the address information of each article page. Still another example, when the article content in the article page includes a video and the implementation form of the search result item is a video cover, an interactive video cover image may be generated according to the video cover of the video content in the article content and the address information of the article page. It should be noted that the above content is only for illustrative purposes and does not constitute a limitation to the present application.

[0049] Figure 2aIt is an exemplary schematic diagram of the first page corresponding to the search term "furniture recycling". The first page contains a search box and multiple search result items. The search term "furniture recycling" is displayed in the search box, and among the multiple search result items, there is a search result item pointing to the first target article page published on the target platform. Users can view the first target article page through this search result item. It should be noted that the schematic diagrams in the embodiments of the present application context are only for exemplary illustration and do not limit the technical solutions of the present application.

[0050] In the embodiment of the present application, in response to the user's triggering operation on the search result item pointing to the first target article page, it can jump to the first target article page, so that the user can view the article content in the first target article page to meet the user's information needs.

[0051] It should be noted that the user interaction operations, access operations or triggering operations involved in the embodiments of the present application context include, but are not limited to: interaction operations in various ways such as touch operations, gesture operations, voice operations, head movement operations, eye movement operations, etc.; among them, touch operations include, but are not limited to: click operations, double-click operations, long-press operations, swipe operations, pinch operations or mouse hover operations, etc. Swipe operations include, but are not limited to: straight-line swipes, curved swipes, etc. Furthermore, it should be noted that in the case of page jumps between two pages involved in the embodiments of the present application context, the jump methods involved in the embodiments of the present application include, but are not limited to: directly jumping from one page to another page, or, first jumping from one page to a task interface and then jumping to another page when corresponding task operations are completed on the task interface. Then, for the triggering operation of the user on the search result item pointing to the first target article page and jumping to the first target article page, it can directly jump from the first page to the first target article page, or, first jump from the first page to the task interface and then jump to the first target article page when task operations such as identity verification are completed on the task interface.

[0052] It should be noted that if the user uses the target search engine to search for information on the PC side, the first target article page can be presented in the form of a web page as Figure 2b shown. The web page includes the first target article page and the QR code of the first target article page. Users can scan the QR code with mobile devices such as mobile phones and smart wearable devices, and directly display the first target article page on the mobile phones and smart wearable devices, so as to facilitate users to view the article content through the mobile devices.

[0053] In the embodiments of the present application, in order to further meet the user information needs and attract user traffic, merchant information can also be embedded in the first target article page, enabling users to further understand the merchant details information and leave their contact information. The merchant information embedded in the first target article page refers to the merchant information that can provide services or goods in the category to which the first target article page belongs. In other words, the merchant information embedded in the first target article page is merchant information adapted to the user's needs. Here, being adapted to the user's needs can be understood as being able to provide the services or goods required by the user and the time for providing the services or goods can meet the user's required time, etc. The implementation form of the embedded first target merchant information in this embodiment is not limited. For example, the first target merchant information can be an interactive interface element such as a card, a link, a title, a video cover, etc. Different implementation forms of the first target merchant information may correspond to different generation methods. For the detailed description of generating at least one search result item pointing to at least one article page according to the address information of at least one article page, please refer to the above embodiments and will not be elaborated here.

[0054] In the embodiments of the present application, in order to more accurately recommend to users the merchant information that can provide them with services or goods, according to the user's current location information, merchant information that can provide services or goods to the user's current location can be selected from the merchant information that provides services or goods in the category to which the first target article page belongs, which is called the first target merchant information, and the first target merchant information is embedded in the first target article page. The first target merchant information is the merchant information that can provide services or goods in the category to which the first target article page belongs. Based on this, in response to the user's trigger operation on the search result item pointing to the first target article page, jumping to the first target article page includes at least the following two implementation methods:

[0055] Method 1: In response to the user's trigger operation on the search result item pointing to the first target article page, obtain the user's current location information; send the current location information to the target platform for the target platform to embed the merchant information adapted to the current location information in the first target article page and then return the first target article page. This merchant information can be called the first target merchant information; display the first target article page returned by the target platform. The first target article page includes the first target merchant information.

[0056] Method 2: In response to the user's trigger operation on the search result item pointing to the first target article page, obtain the user's current location information, and send the browsing request of the first target article page and the user's current location to the target platform for the target platform to embed the merchant information adapted to the current location information in the first target article page and after the target platform approves the browsing request, jump from the target search result page of the target search engine to the first target article page of the target platform ( Figure 1is a schematic diagram taking this process as an example).

[0057] This embodiment does not limit the implementation manner of sending the current location information to the target platform. Optionally, sending the current location information to the target platform includes at least the following implementation manners:

[0058] Method 1: In response to the user's trigger operation on the search result item pointing to the first target article page, send a request to obtain the first target article page to the target platform; the target platform responds to the request to obtain the first target page, and sends a request to obtain the user's location information to the target search engine; in response to the request to obtain the location information, obtain the user's current location information and send the user's current location information to the target platform.

[0059] Method 2: In response to the user's trigger operation on the search result item pointing to the first target article page, obtain the user's current location information, and send a request to obtain the first target article page and the user's current location information to the target platform.

[0060] In addition, the user's current location information can also be obtained by the target platform. Specifically, the target platform obtains the user's current location information in response to the request to obtain the first target article page or the browsing request sent by the target search engine.

[0061] Correspondingly, after the target platform obtains the user's current location information, it can obtain merchant information that can provide services or products under the category information to which the first target article page belongs according to the category information to which the first target article page belongs; select target merchant information adapted to the current location information from the merchant information according to the current location information; after embedding the target merchant information into the first target article page, send the first target article page to the user terminal for the user terminal to display to the user, or for the target result page of the target search engine to jump to the first target article page of the target platform.

[0062] In the embodiments of the present application, the first target article page has a page structure, which is called the target page structure. The page structure refers to the organization method and framework layout of the page content, which defines the positions and mutual relationships of various elements in the page. The target page structure can be implemented through the target page template. Specifically, the first target article page includes: a first area, in which article content related to the search term is displayed, which is called the first article content, and the first article content is also the article content corresponding to the category information matching the search term. The first article content includes, but is not limited to, at least one of picture content, article theme, and text content. Among them, the picture content can be one or more. In the case of multiple picture contents, each picture can be switched and displayed. For example, in the same area, each picture can be switched and displayed by operations such as swiping left and right. The article theme is the theme content related to the category information matching the search term. The text content includes at least one hot topic and the topic content under the hot topic, and different hot topics and their topic contents are located in independent sub-areas in the first area. Taking furniture recycling as an example, the hot topics corresponding to furniture recycling can be, for example: "What can be recycled", "What is the recycling price", "Do you accept a piece of furniture", and so on.

[0063] In the embodiments of the present application, the first article content can be multimodal content generated by the target platform based on the AI multimodal generation model of artificial intelligence. Multimodal content refers to content in multiple forms. For example, the first article content includes, but is not limited to, the article theme, picture content, and text content of each category information. In addition, there is also certain layout information between the same-modal content and different-modal content. The layout information can be, for example, the size, color, size, position information, etc. of the same-modal content and the relative position information, etc. between different-modal contents. Multimodal content can provide users with more abundant relevant information, meet the information needs of users, and thus attract user traffic.

[0064] Among them, the AI multi-modal generation model based on artificial intelligence can be obtained by jointly training a large language model (LLMs) supporting multi-modal and a text-to-image model. Among them, the large language model supporting multi-modal has cross-modal and cross-language deep semantic understanding and generation capabilities. In the process of generating multi-modal article content, natural language processing can be used to search in the information library and / or generate content creation based on semantic understanding, etc., to generate multi-modal article content. The large language model includes but is not limited to: models of the GLM (Generalized Linear Model) series, models of the Qwen series, etc. Among them, the text-to-image model is used to output an image that conforms to the description of the prompt after a certain number of iterations based on the input text content. The type of the text-to-image model is not limited in this embodiment. For example, it can be the SD (Stable Diffusion) model. In addition, when selecting the SD model, a model with generalization after pre-training, adapted to the user's race, and with high image clarity can be selected, such as the Stable Diffusion XL (abbreviated as SDXL) model. The SDXL model is a new version of the SD model series, and its image generation quality has been significantly improved and optimized. Among them, the prompt at least includes a positive prompt and a negative prompt. The positive prompt is a text description used to guide the model to generate a specific type or style and high-quality images. The negative prompt is a text description used to guide the model to avoid generating certain specific features or elements. The negative prompt is opposite to the positive prompt, and the two work together in the generation process of the model to achieve more precise control of each element in the picture.

[0065] For the specific implementation method of generating the first article content through the AI multi-modal generation model based on artificial intelligence, refer to the relevant descriptions in the following embodiments, which will not be elaborated here for the time being.

[0066] Figure 2cExemplary schematic diagram of the first area of the first target article page. This figure takes the example that the user searches for articles related to "furniture recycling". At least one picture content can be displayed in the first sub-area of the first area, and the article theme and text content can be displayed in the second sub-area of the first area. The article theme can be, for example: "Sisters, furniture recycling in Beijing, door-to-door within 30 minutes, even one piece is accepted", and the text content can be, for example: "Recently, many sisters have asked us some questions about recycling. Today, we will summarize these questions for everyone, select several questions with a higher frequency of occurrence, and give everyone a unified answer. 1. 'What can be recycled?': Currently, the items that can be recycled include air conditioners, refrigerators, water heaters, TVs, computers, sofas, beds, cabinets, tables and chairs, office furniture, etc. The premise is that these household appliances and furniture still have certain value. If they have no value at all, naturally they cannot be recycled. 2. 'What is the recycling price?': The recycling quotation is a relatively complex issue and needs to be evaluated based on the state of the furniture and household appliances itself, the purchase price, and the market conditions. Therefore, a fixed price cannot be given, and a quotation can only be given after specific understanding. Usually, the quotation is given online. 3. 'Do you accept one piece of furniture?': First of all, it should be affirmed that one piece of furniture can also be accepted. Of course, if the value of your furniture is very low and it is not worth the merchant's trip, then you may need to wait until there are other customers near your home who need recycling, and they will handle it uniformly, which is beneficial to both parties!". In addition, the first area also has layout information. Among them, the first sub-area can be located at the top of the first area, and multiple pictures in the first sub-area can be switched and displayed. The second sub-area is located below the first sub-area. The article theme in the second sub-area can be located in the top area of this area, and the text content is located below the article theme. The text content contains different topics and their corresponding sub-areas with different topic contents. In addition, the first area can also include personal information such as the author's username and avatar of the first article. The personal information can be displayed at any position in the first area, such as the upper left corner of the first area. It should be noted that the layout information of the first area is not limited to this.

[0067] The embodiments of the present application do not limit the specific position where the first target merchant information is embedded in the first article page. For example, the first target merchant information can be embedded in the first sub-area or the second sub-area of the first area. As Figure 2c shown, the first target merchant information is also embedded in the third sub-area of the first area. The third sub-area can be located at the bottom of the first area, that is, below the second sub-area. Thus, after the user understands the specific content of the category related to the search term based on the first article content, they can view the first target merchant information in the first time, so that the user can further understand the details of the merchant based on the first target merchant information and leave their information. The embedded first target merchant information includes but is not limited to: the store name, store rating, and store ranking of the merchant.

[0068] Further, as Figure 2c shown, a lead generation method and its corresponding lead generation control can also be set on the first target merchant information, which are referred to as the first lead generation method and its corresponding first lead generation control, for the user to initiate a lead generation operation. Among them, the first lead generation method includes at least one of online consultation, audio-visual consultation, and appointment consultation. In addition, the first area also includes a page return control, such as Figure 2c the "<" control in

[0069] which, in response to the triggering operation on this control, can return to the previous page.

[0070] Method 1: As Figure 2d , Figure 2e , Figure 2f shown, when the lead generation method is the appointment consultation lead generation method, in response to the triggering operation of the user on the first lead generation control corresponding to the appointment consultation lead generation method, a lead generation information collection page is displayed. The lead generation information collection page includes category information items and user information items. The user information items include, but are not limited to, at least one of the city information item and the contact information item; in response to the triggering operation of the user on the category information item, a category list is displayed. The category information list includes multiple levels of categories; in response to the selection operation of the user on each level of category, the selected level of category is displayed in the category information item; and, in response to the selection / filling operation of the user on the user information item, the selected / filled user information is displayed in the user information item. In addition, the category information item and the user information item have attribute information, and the attribute information includes: any one of required and non-required. The required attribute means that the information item must be selected / filled with information, and the non-required attribute means that the information item is selectively selected / filled with information. Moreover, in the case where the required information item has not been selected / filled with information, a prompt message for the unselected / unfilled information will be sent to the user.

[0071] This embodiment does not limit the implementation form of the lead generation information collection page. For example, the lead generation information collection page can be a separate page; correspondingly, in response to the triggering operation of the user on the first lead generation control corresponding to the appointment consultation method, it jumps to the lead generation information collection page. Another example is that the lead generation information collection page can also be a pop-up window page; correspondingly, in response to the triggering operation of the user on the first lead generation control corresponding to the appointment consultation method, this pop-up window page is displayed on the upper layer of the first target article page. In addition, the pop-up window page has an initial size, and the initial size can be smaller than the size of the screen; further, in response to the enlargement operation of the user on this pop-up window page, the pop-up window page is gradually enlarged to full screen display.

[0072] Optionally, in response to the user's triggering operation on the category information item, a category list is displayed, including: in response to the user's triggering operation on the category information item, jumping to the category information page, where the category information page includes a category information list; or, in response to the user's triggering operation on the category information item, displaying the category information list within the lead generation information page or in an associated area of the lead generation information page. It should be noted that the category information item may also have the attribute of manual filling. Then, in response to the user's input operation on the category information item, the category information filled in by the user is obtained and displayed in the category information item. Further, the category information page also includes: a return control, and the return control is used to return to the lead generation information collection page. The return control may be, for example, "<", and in response to the user's triggering operation on the return control, the lead generation information collection page is returned.

[0073] Optionally, in response to the user's selection / filling operation on the user information item, the selected / filled user information is displayed in the user information item, including: when the user information item is a city information item, in response to the user's triggering operation on the city information item, jumping to the city information page, where multiple city information and their corresponding controls are displayed; or, in response to the user's triggering operation on the city information item, displaying the city information list within the lead generation information page or in an associated area of the lead generation information page, and the city information list includes multiple city information and their corresponding controls. Further, in response to the selection operation on any city information control, the corresponding city information is obtained and displayed in the city information item. Further, the city information page also includes: a return control, and the return control is used to return to the lead generation information collection page. The return control may be, for example, "<", and in response to the user's triggering operation on the return control, the lead generation information collection page is returned.

[0074] Figure 2dAn exemplary schematic diagram of the information collection page for lead generation in the recycling category (also known as the pop-up window filling page for lead generation). In this figure, the information collection page for lead generation is displayed on top of the first article page in the form of a pop-up window. The information collection page for lead generation includes a recycling category information item, a city information item, and an audio-video information item, and all of these are set as required fields. In response to the user's trigger operation on the recycling category information item, a category information page is displayed. The category information page includes two levels of category information, namely, the first-level category information and the second-level category information, and the first-level category information and the second-level category information are displayed in different sub-areas of the category information page. Among them, the first-level category and its corresponding control are displayed in the first sub-area. The first-level category information includes: household appliances, furniture, hotel equipment, kitchen equipment, stationery and sports goods, beauty care equipment, and industrial metals. Further, taking the first-level category information being household appliances as an example, in response to the user's trigger operation on the control corresponding to household appliances, "household appliances" is displayed in the category information item, and the second-level category information and its corresponding control under the household appliances category are displayed in the second sub-area. Taking the second-level category information being refrigerators as an example, the second-level category information corresponding to household appliances includes: refrigerators, washing machines, air conditioners, televisions, other small household appliances, and multiple household appliances. Further, taking the second-level category information being refrigerators as an example, in response to the user's trigger operation on the control corresponding to refrigerators, "refrigerators" is displayed in the category information item, and the information displayed in the category information item can be "household appliances - refrigerators" or "refrigerators". Further, in response to the user's trigger operation on the return control "<", the information collection page for lead generation is returned, and "household appliances - refrigerators" or "refrigerators" is displayed in the recycling category information item in the returned information collection page for lead generation.

[0075] Method 2: As Figure 2g shown, in the case where the lead generation method is the online consultation lead generation method, in response to the user's trigger operation on the first lead generation control corresponding to the online consultation lead generation method, an online consultation page is displayed. The online consultation page includes a content input control. In response to the user's content input operation initiated through the content input control, the user's lead generation information is obtained. Further, after obtaining the user's consultation information, an AI customer service can make a corresponding reply to the user's lead generation information, and the reply content can be generated in real time based on the lead generation information using the large language model in the above embodiments; or, after obtaining the user's consultation information, a human customer service can make a corresponding reply to the user's lead generation information, and this embodiment does not make a limitation on this.

[0076] Optionally, in response to a user's trigger operation on a first lead capture control corresponding to the online consultation lead capture method, an online consultation page is displayed, including: in response to a user's trigger operation on a first lead capture control corresponding to the online consultation lead capture method, jumping to the online consultation page; or, in response to a user's trigger operation on a first lead capture control corresponding to the online consultation lead capture method, displaying the online consultation page (such as a pop-up window page) in an associated area of the lead capture information collection page (such as a pop-up window page). Additionally, if the online consultation page is a pop-up window page, the pop-up window page has an initial size, and the initial size can be smaller than the screen size; further, in response to a user's step-by-step expansion operation on the pop-up window page, the pop-up window page can be gradually expanded to full-screen display. Further, the online consultation page also includes: a return control, and the return control is used to return to the lead capture information collection page. The return control can be, for example, "<", and in response to a user's trigger operation on the return control, the lead capture information collection page is returned.

[0077] Method 3: As Figure 2g shown, in the case where the lead capture method is the audio-video consultation lead capture method, in response to a user's trigger operation on a first lead capture control corresponding to the audio-video consultation lead capture method, an audio-video consultation page (also known as a call page) is displayed. The audio-video consultation page includes the contact information of the target merchant and its corresponding first lead capture control; in response to an audio-video call operation initiated by the user through the first lead capture control corresponding to the contact information of the target merchant, the user's lead capture information is obtained.

[0078] Optionally, in response to a user's trigger operation on a first lead capture control corresponding to the audio-video consultation lead capture method, an audio-video consultation page is displayed, including: in response to a user's trigger operation on a first lead capture control corresponding to the audio-video consultation lead capture method, jumping to the audio-video consultation page; or, in response to a user's trigger operation on a first lead capture control corresponding to the audio-video consultation lead capture method, displaying the audio-video consultation page (such as a pop-up window page) in an associated area of the lead capture information collection page (such as a pop-up window page). Additionally, if the audio-video consultation page is a pop-up window page, the pop-up window page has an initial size, and the initial size can be smaller than the screen size; further, in response to a user's step-by-step expansion operation on the pop-up window page, the pop-up window page can be gradually expanded to full-screen display. Further,

[0079] Optionally, in response to a call operation initiated by the user through the first lead capture control corresponding to the contact information of the target merchant, obtain the user's lead capture information, including: in response to the call operation initiated by the user through the first lead capture control corresponding to the contact information, establish an audio-video channel between the user and the merchant and display an audio-video call page; transmit the communication information between the user and the merchant based on the audio-video channel to obtain the user's lead capture information. Further, if the audio-video call page includes an end call control, then in response to the user's triggering operation on the end call control, end the call and close the audio-video call page. Further, the audio-video consultation page also includes: a cancellation control, and the cancellation control is used to close the audio-video consultation page, then in response to the user's triggering operation on the cancellation control, close the audio-video consultation page.

[0080] Further optionally, in response to the user's triggering operation on the first target merchant information, display the merchant store details page to meet the user's information needs. As Figure 2h shown, the merchant store details page includes at least one of: service or product links, picture content, business content, merchant lead capture methods and their corresponding lead capture controls. The functions of the merchant lead capture methods and their corresponding lead capture controls can refer to the relevant descriptions of the lead capture controls in the above embodiments and will not be elaborated here.

[0081] Further, in order to further facilitate the user to capture leads, a lead capture card is also provided. Specifically, in response to a sliding operation on the first target article page, when the set sliding condition is met, the lead capture card corresponding to the first target merchant information can be displayed. The specific content of the set sliding condition is not limited in this embodiment. For example, the set sliding condition can be that when the number of consecutive sliding operations reaches the set number value, display the lead capture card corresponding to the first target merchant information. Another example is that when a specific area or position in the first target article page is scrolled into the display screen, such as when the first target merchant information is scrolled into the display screen, display the lead capture card corresponding to the first target merchant information. The position where the lead capture card is displayed is not limited in this embodiment either. For example, the lead capture card can be displayed in the upper area, middle area or bottom area of the screen. The display direction and size of the lead capture card are not limited in this embodiment either. For example, the lead capture card can be displayed horizontally or vertically on the screen, and the final display direction and size of the lead capture card aim to be beautiful and cause little interference to the user. Figure 2f is an exemplary schematic diagram of the lead capture card.

[0082] Further optionally, the lead capture card includes at least one lead capture method such as online consultation, audio-video consultation and appointment consultation and their corresponding second lead capture controls for the user to initiate a lead capture operation. Based on this, in response to the lead capture operation initiated by the user on the lead capture card, the user's lead capture information can be obtained.

[0083] Optionally, in response to the lead generation operation initiated by the user on the lead generation card, the lead generation information of the user is obtained, including the following methods:

[0084] Method 1: When the lead generation card includes a reservation consultation lead generation method and its corresponding second lead generation control, in response to the user's trigger operation on the second lead generation control corresponding to the reservation consultation lead generation method, a lead generation information collection page is displayed. The lead generation information collection page includes category information items and user information items; in response to the user's trigger operation on the category information items, a category list is displayed. The category list includes multi-level categories; in response to the user's selection operation on each level of category, the selected categories at each level are displayed in the category information items.

[0085] Method 2: When the lead generation card includes an online consultation lead generation method and its corresponding second lead generation control, in response to the user's trigger operation on the second lead generation control corresponding to the online consultation lead generation method, an online consultation page is displayed. The online consultation page includes a content input control; in response to the content input operation initiated by the user through the content input control, the lead generation information of the user is obtained.

[0086] Method 3: When the lead generation card includes an audio / video consultation lead generation method and its corresponding second lead generation control, in response to the user's trigger operation on the second lead generation control corresponding to the audio / video consultation lead generation method, an audio / video consultation page is displayed. The audio / video consultation page includes the contact information of the target merchant and its corresponding call control; in response to the audio / video call operation initiated by the user through the audio / video call control, the lead generation information of the user is obtained.

[0087] It should be noted that for the operation methods of the second lead generation controls corresponding to each lead generation method in this embodiment and the specific implementation methods of each step, reference can be made to the relevant descriptions in the above embodiment of obtaining the lead generation information of the user in response to the lead generation operation initiated by the user on any first lead generation control, which will not be elaborated here.

[0088] In the embodiment of the present application, the first target article page further includes: a second area, the second area includes entry information pointing to the knowledge square page, and through the entry information pointing to the knowledge square page, the knowledge square page can be entered. This embodiment does not limit the implementation form of the entry information pointing to the knowledge square page. For example, the entry information pointing to the knowledge square page can be an interactive interface element such as a card, a link, a title, a video cover, etc. The entry information of different forms of the knowledge square page may correspond to different generation methods. For the detailed description of generating at least one search result item pointing to at least one article page according to the address information of at least one article page in the above embodiment, it will not be elaborated here. For another example, the entry information pointing to the knowledge square page can also be a hierarchical link control, and this control at least includes the hierarchical link relationship between the first target article page and the knowledge square page. Then, in response to the triggering operation on the corresponding level in this control, the corresponding page is displayed. For another example, the second area can simultaneously include an interactive interface element such as a card, a link, a title, a video cover, and a hierarchical link relationship control, and the two are located in different sub-areas of the second area.

[0089] Figure 2i FIG. 4 is an exemplary schematic diagram of the second area. The second area is located below the first area. In the first sub-area of the second area, there is an interactive interface element in the form of a title, that is, the entry information of "Related Search. Recycling Knowledge You Don't Know". Then, in response to the triggering operation of the user on this entry information, the knowledge square page is displayed. In the second sub-area of the second area, there is a hierarchical connection relationship control, that is, the hierarchical link relationship control of "Home Page < Article Page < Knowledge Square". This hierarchical link relationship control includes: a home page control, an article page control, and a knowledge square page control, which are used for switching between the corresponding several pages. Then, in response to the triggering operation of the user on any sub-control of any level, the corresponding page is displayed.

[0090] Further optionally, the first target article page further includes: a third area, and the third area includes: a message control and a message area. Based on this, in response to a comment operation initiated by the user through the message control, the comment content input by the user can be obtained and displayed in the message area. The present embodiment does not limit the display order of the comment content in the message area. For example, the comment content can be displayed in ascending order of time; or, the comment content can also be displayed in descending order of time; or, the comment content can also be randomly displayed, etc. In addition, each comment content is located in a different sub-area, and the user information, comment time, and interaction control corresponding to the comment content can also be displayed in each sub-area. Among them, the user information includes but is not limited to: user avatar, user name. The interaction control includes but is not limited to: a reply control, a like control. Among them, the reply control is used to reply to the corresponding comment content, and each user can also delete the content of their own comment or reply. Correspondingly, in response to the user's trigger operation on the reply control, an information input control is displayed; in response to the user's comment content publishing operation triggered based on the information input control, the comment content is displayed in the message area. The like control is used to support liking the comment content or the reply content. Correspondingly, in response to the user's first trigger operation on the like control, the control is lit, the like count is counted, and the like count is synchronously displayed; in response to the user's non-first trigger operation on the like control, the like count is incremented and the like count is synchronously updated. In addition, the same user can also cancel their own like, and in the case of cancellation, the like count will also be updated again.

[0091] It should be noted that the present embodiment does not limit the comment content and reply content of the user. For example, it can be content that asks questions about the article content or the target merchant information embedded in the first target article page. In this regard, the target platform can periodically collect the comment content and reply content, and use the comment content and reply content with high occurrence frequencies as the popular comments in the current period, so as to update the page content in each target article page based on the popular comments subsequently.

[0092] Figure 2j FIG. is an exemplary schematic diagram of the third area. The message control is located at the top of the third area, the message area is located below the message control, and the comment content in the message area is displayed in descending order of the time of the comments in their respective sub-areas. Each comment content also corresponds to the display of information such as the user name, avatar, comment time, and location when the comment was made of the commenter. The reply content for each comment content will be displayed below the corresponding comment content, and the corresponding like count will be displayed in the associated area of the comment content or the reply content.

[0093] Further optionally, the first target article page further includes: a fourth area, where at least one category label and at least one third target article page associated with the currently selected category label are displayed. Each category label is respectively associated with at least one third target article page. The third target article page has the same or similar page structure as the first target article page, and the third target article page and the second target article page may be duplicate pages. Among them, at least one category label is determined based on at least one of the search term, the user's search behavior information, and the search behavior information of the user's associated users. The associated user refers to an associated user who is geographically close, in the same business district, or customized and has viewed the same article content. The search behavior information may be search behavior information or browsing behavior information. In the case where the user does not select a label, a category label may be default selected and at least one third target article page associated with the label is displayed. Preferably, the default selected label may be the category label to which the first target article page belongs, so as to facilitate the user to learn more information related to this category. In the case where the user selects a target category label, in response to the user's selection operation on the target category label, at least one third target article page associated with the target category label is displayed. Further, in response to the user's swiping operation, more third target article pages associated with the target category label can be displayed in a paged manner. The swiping operation may be a vertical swipe or a horizontal swipe for paged display. This embodiment does not make a limitation on this.

[0094] It should be noted that at least one third target article page associated with each category label may be pre-loaded into the fourth area of the first target article page, or may be loaded into the fourth area of the first target article page in real time in response to the user's selection operation on the target category label. This embodiment does not make a limitation on this.

[0095] Figure 2k FIG. is an exemplary schematic diagram of the fourth area taking recycling as an example. The fourth area can be regarded as a recommended reading area. The fourth area includes a first sub-area and a second sub-area. The first sub-area is used to display a plurality of interactive category information labels, and the second sub-area is used to display at least one third target article page associated with the selected category label. Taking the default category label being the "Must-see for Recycling" label as an example, at least one third target article page associated with the "Must-see for Recycling" label is default displayed in the second sub-area. Other labels in the first sub-area may also be the "Popular Recycling" label, the "Old Furniture Recycling" label, the "Second-hand Electric Vehicle" label, and so on. The third target article page can be displayed in the second sub-area in the form of an interactive card pointing to the corresponding third article page. The card contains information such as a cover image, a theme information, an author information, and the viewing quantity of the article.

[0096] In an embodiment where the second area following the above-mentioned first target article page includes knowledge square entrance information, in response to a user's access operation initiated for the entrance information, a knowledge square page can be displayed. The knowledge square page includes at least one category information related to the search term and at least one target article page associated with each category information, referred to as the second target article page, for the user to continue viewing any second target article page under any category information. Through a searched article page, the user can view more relevant article pages. Such a page structure can provide the user with more rich and user-interested relevant information, meet the user's information needs, and thus attract user traffic.

[0097] The embodiments of this application do not limit the implementation form of the knowledge square page. For example, the knowledge square page can be a separate page; correspondingly, in response to a user's access operation initiated for the entrance information, it jumps to the knowledge square page. For another example, the knowledge square page can also be a pop-up window page; correspondingly, in response to a user's access operation initiated for the entrance information, a pop-up window page is displayed on the upper layer of the first target article page, and the size of the pop-up window page is smaller than that of the first target article page.

[0098] Figure 2l FIG. is an exemplary schematic diagram of a knowledge square page taking the recycling category as an example. The knowledge square page includes three sub-areas. The first sub-area is located at the top of the page, and the second sub-area and the third sub-area are displayed side by side. Among them, a background image is displayed in the first sub-area. The background image can be generated by using an AI multimodal generation model based on artificial intelligence. For the specific generation process, refer to the relevant description in the following embodiments, which will not be elaborated here for the time being. The background image includes the theme information of the current category information and a hierarchical link control of "Home > Article Content > Knowledge Square" and a return control are embedded at a specified position in this sub-area. The return control is used to return to the previous page. At least one category information and a control corresponding to each category information are displayed in the second sub-area. Among them, the at least one category information includes but is not limited to: Recycling Must-see, Furniture Recycling, Home Appliance Recycling, Mobile Phone Recycling, Metal Scrap Recycling, Mechanical Equipment Recycling, Digital Product Recycling. Further, in response to a trigger operation on the control corresponding to any category information, a plurality of second target article pages under this category information are displayed in the third sub-area. Further, in response to a trigger operation on any second target article page, the corresponding second target article page is displayed.

[0099] To further meet the user information needs and attract user traffic, merchant information can also be added to the second target article page. Then, in response to the user's access operation to any second target article page under any category information on the knowledge square page, the current location information of the user is obtained; the current location information is sent to the target platform, so that the target platform can embed the second target merchant information adapted to the current location information in the second target article page and then return the second target article page; the second target article page returned by the target platform is displayed. The other implementation manners of obtaining the current location information of the user and the implementation manners of displaying the target article page in the above embodiments are also applicable to this embodiment, which will not be elaborated here.

[0100] Optionally, the second target article page has the same or similar page structure as the first target article page. Figure 2m FIG. [First target article page number] is an exemplary schematic diagram of the first target article page. The first area and the second area of the second target article page respectively include second article content and entry information pointing to the knowledge square page. The second target article page further includes second target merchant information, which is merchant information that can provide services or goods under the category to which the second target article page belongs. For other areas of the second target article page and their detailed information, reference can be made to the relevant description of the first target article page, which will not be elaborated here.

[0101] Continuing with the above embodiment of generating the first article content using an AI multimodal generation model based on artificial intelligence, the first article content can be generated based on article content related to hot topics, and hot topics may be periodic. Taking recycling as an example, the hot topics in summer may be air conditioner or electric fan recycling, and before the Spring Festival, due to the need to update the home appearance, the corresponding hot topic may be furniture recycling. Based on this, in order to improve the richness of the article content and meet the user's need for real-time information, the following optional implementation methods are provided for generating the first article content based on the multimodal generation model: Periodically obtain the popular search terms and popular comments corresponding to at least one category of information. The popular search terms are the search terms whose search frequencies meet the set threshold within a period, and the popular comments are the comment contents whose number of comments and / or number of likes meet the set threshold within a period; Determine the hot topics in the current period according to the popular search terms and popular comments. Each hot topic belongs to a category of information, and the hot topic is the topic whose mention count by users exceeds the preset threshold within the set period; If the hot topics in the current period change compared with those in the previous period, obtain the historical article content related to the target hot topic that has changed; Input the target hot topic, the category information to which the target hot topic belongs, and the historical article content into the AI multimodal generation model based on artificial intelligence to generate multimodal content for the target hot topic and the related historical article content under the same category of information, so as to obtain the article content corresponding to each category of information. The article content corresponding to each category includes the first article content.

[0102] Optionally, periodically obtaining the popular search terms and popular comments includes: Periodically obtaining the popular search terms and popular comments from the target platform and / or other platforms. More specifically, periodically obtaining the popular search terms and popular comments from the target platform and other platforms; or, periodically obtaining the popular search terms and popular comments from the target platform; or, periodically obtaining the popular search terms and popular comments from other platforms. This embodiment does not specifically limit the length of the period. For example, 7 days, 15 days, one month, one quarter, etc. In addition, the lengths of the periods may be different depending on the different ways of periodically obtaining the popular search terms and popular comments. For example, the period set when only obtaining the popular search terms and popular comments from the target platform may be longer, and the period set when obtaining the popular search terms and popular comments from other platforms may be shorter, or vice versa. Taking furniture recycling as an example, the hot topics in the current period may be "What things can be recycled?", "What is the recycling price?", "Do you accept a piece of furniture?", etc.

[0103] Optionally, the article content corresponding to each category information includes the article theme, picture content, and text content belonging to the category information. The text content includes at least one hot topic and the topic content under each hot topic. Then, multi-modal content generation is performed on the target hot topic and the relevant historical article content under the same category information to obtain the article content corresponding to each category information, including: for any category information, determining the theme structure according to the attribute information of the category information, and generating the article theme of the category information based on the theme structure; based on the built-in prompt words of the multi-modal generation model, integrating the historical hot topics and historical topic content in the historical article content related to the category information according to the target hot topic under the category information to obtain at least one hot topic and the topic content under each hot topic in the category information; inputting at least one hot topic and the topic content under each hot topic in the category information into the text-to-image model in the multi-modal generation model for text-to-image processing to obtain the picture content belonging to the category information.

[0104] Optionally, the article themes corresponding to different category information may have different theme structures, which can be determined according to the attribute information of the category information. The attribute information includes but is not limited to: the specific population related to the category information and the service information that can be provided by the merchants under the category information. For example, for some category information related to specific populations, the corresponding article theme can include the user portrait of the specific population. For example, for the lipstick recycling category, the specific population involved is women, that is, the corresponding user portrait can be "sisters". Then, the article theme of the lipstick recycling category can be "Sisters, lipstick recycling..." In addition, some merchants may also be able to provide some specific services, such as lipstick recycling can be picked up within 30 minutes or even one piece is accepted. In order to highlight the specific service information to attract user traffic, the corresponding article theme can also include the specific service information. Then, the article theme of the lipstick recycling category can be "Sisters, lipstick recycling, picked up within 30 minutes, one piece is accepted..." In addition, the article theme can also include other information, which is not limited in this embodiment.

[0105] Optionally, prompt words are built into the AI multi-modal generation model based on artificial intelligence, so that the AI multi-modal generation model based on artificial intelligence can generate article content based on the prompt words. Among them, the prompt words are text content used to guide the AI multi-modal generation model based on artificial intelligence to generate article content with a specific style, theme or structure, and the prompt words include positive prompt words and negative prompt words. For generating an article theme, the corresponding prompt words can be text information that guides the model on how to select the theme structure, the number of words in the article theme, the font form of the article theme, etc., so as to guide the AI multi-modal generation model based on artificial intelligence to generate an article theme with a theme structure, number of words, and font form adapted to the category information matching the search term. For generating text content, the corresponding prompt words can be text information that guides the model on how to select the number of hot topics included in the text content, specific hot topics, the norms of topic content under each hot topic, the number of words in the text content, etc., so as to guide the AI multi-modal generation model based on artificial intelligence to generate text content with the number of hot topics, specific hot topics, the norms of topic content under each hot topic, and the number of words in the text content adapted to the category information matching the search term. For generating picture content, the corresponding prompt words can be text information that guides the model on how to determine the number of pictures, the theme content included in each picture, the size of the pictures, etc., so as to guide the AI multi-modal generation model based on artificial intelligence to generate picture content with the number of pictures, the theme content included in each picture, and the size of the pictures adapted to the category information matching the search term.

[0106] Based on this, optionally, based on the built-in prompt words of the multi-modal generation model, the historical hot topics and historical topic contents in the historical article contents related to the category information are integrated according to the target hot topics under the category information, so as to obtain at least one hot topic under the category information and the topic content under each hot topic, including: determining the number of hot topics included in the article content to be generated and the corresponding target hot topics according to the prompt words, the category information corresponding to the article content to be generated, and the number of hot topics corresponding to the category information, for example, according to the prompt words, the number of target hot topics included in the article content corresponding to different category information is different, and / or the number of target hot topics included in each article content is selected from the hot topics corresponding to the current category information according to a certain quantity ratio; when each target feature topic is included in the historical feature topics related to the category information, extracting the corresponding content from the historical topic content corresponding to the corresponding historical hot topic according to the requirements of the prompt words for each topic content structure, and filling the corresponding content into each topic content structure, so as to obtain at least one hot topic under the category information and the topic content under each hot topic; when at least one target feature topic is missing from the historical feature topics related to the category information, generating the corresponding topic content by using the AI multi-modal generation model based on artificial intelligence according to the requirements of the prompt words for each topic content structure and the relevant network knowledge of the topic.

[0107] It should be noted that for a certain category information, if the hot topics in the current period have not changed compared with the hot topics in the previous period, and the corresponding historical topic contents do not need to be updated again, there is no need to regenerate the article content related to the category information. Or, for a certain category information, if the historical article contents related to it include the target hot topics to be generated in the current period of the category and the topic contents corresponding to the target feature topics do not need to be updated, but one or more target hot topics are missing from the historical article contents related to it, only the topic content corresponding to the missing feature needs to be regenerated, and then the missing target hot topics and the topic content corresponding to the regenerated missing feature are added to the relevant historical article contents (that is, updated on the basis of the original relevant historical article contents).

[0108] Optionally, for any category information, determine the topic structure according to the attribute information of the category information, and generate the article topic of the category information based on the topic structure, including: for any category information, determine the topic structure corresponding to the category information according to the prompt words corresponding to the article topic and the attribute information of the category information, where the topic structure includes at least one piece of structure information; extract at least one piece of structure information based on the topic structure, and add the extracted at least one piece of structure information to the corresponding position of the topic structure to obtain the article topic of the category information. For example, the article topic "Sisters, lipstick recycling, door-to-door recycling within 30 minutes, accepting even one item..." includes the following four items: "Sisters", "Lipstick recycling", "Door-to-door recycling within 30 minutes", "Accepting even one item". Then, before generating the article topic, it is necessary to extract these four pieces of structure information from the article content according to the topic structure first, and add the extracted four pieces of structure information to the corresponding position of the topic structure to obtain the article topic.

[0109] Based on this, optionally, input at least one hot topic under the category information and the topic content under each hot topic into the text-to-image model in the multi-modal generation model for text-to-image processing to obtain the image content belonging to the category information, including: input at least one hot topic under the category information and the topic content under each hot topic into the AI multi-modal generation model based on artificial intelligence, and determine the number of pictures, the element features included in each picture and their relative position information according to at least one hot topic, the topic content under each hot topic, and the prompt words. The element features refer to the relevant features of some elements such as text, pictures, symbols, etc. that need to be included in the picture, and the relevant features can be features such as size, shape, color, etc.; determine the resolution of the picture, and create the latent space of the image according to the resolution. The vector dimension of the latent space is adapted to the feature space dimension of the picture; use the encoder to map the element features and relative position information in each picture to the latent space to obtain the latent space features of the element features in the latent space; according to at least one prompt word, use the sampler to collect the features adapted to at least one prompt word from the latent space features of the element features; use the decoder to decode the element feature vectors to obtain each image.

[0110] In some embodiments, in order to enhance the function and flexibility of the text-to-image model, a plug-in model can be integrated into the text-to-image model. The type of the plug-in model is not specifically limited in this embodiment. For example, the plug-in model can be the InstantID model. The InstantID model includes an element feature constraint model and an element feature extraction model. The element feature constraint model can be the Control net model, and the element feature extraction model can be the IPadapter model. The element feature constraint model and the element feature extraction model coexist, that is, image processing is performed separately through the decoupled cross-attention mechanism, which can improve the accuracy of the picture.

[0111] Furthermore, the target page also has a target page structure, and a target article page is generated based on the target page structure. After obtaining the article content corresponding to each category information, the target page structure can be obtained. The target page structure includes a first area and a second area. The second area includes entry information pointing to the knowledge square page. The article content corresponding to each category information can be added to the first area of the target page structure respectively to obtain the target article page corresponding to each category information. The target article page includes a first target article page, a second target article page, and a third target article page.

[0112] Furthermore, the target page structure includes a third area, then a message control can be added to the third area. The message control is used for users to perform comment operations; receive the comment content of the user sent by the user terminal, and add the comment content to the specified position in the message area; wherein, the comment content is input by the user through the message control.

[0113] Furthermore, the target page structure includes a third area, then at least one category tag and at least one target article page associated with each category tag can be determined based on at least one of the search term, the user's search behavior information, and the search behavior information of the user's associated users; embed at least one category tag and at least one target article page associated with the default category tag into the fourth area of the target article page corresponding to the default category to obtain the target article page, that is, obtain the first target article page, the second target article page, and the third target article page.

[0114] Furthermore, the address information of the target article page corresponding to each category information can be published to the target search engine for the user to perform the access process of searching for the target article page corresponding to any category information through the target search engine and accessing in the case of searching for the target page corresponding to any category information in the above embodiments.

[0115] The following uses the prompt words for close-up / extreme close-up shots as an example to illustrate the prompt words. The prompt words for close-up / extreme close-up shots may include the following content ("##" is used to represent each prompt word):

[0116] "## Role name: The prompt word creation expert for popular science article illustrations, {{input}} is the fragment of the popular science article input by the user.

[0117] ## Goal: Analyze {{input}}, rewrite it into a prompt from a third-party perspective. This prompt can finally be used to create a picture through the Stable Diffusion painting tool. This picture is used for the illustration of the popular science article and needs to accurately convey the meaning, scene, and even feeling conveyed by this article fragment.

[0118] ##Direction of focus: Please focus on the task of rewriting fragments of popular science articles into vivid scene descriptions, providing high-quality output. Describe very rich details, and also make the descriptions of the environment and scenes very elaborate. When outputting, provide prompts for both scenarios with and without characters, in both Chinese and English.

[0119] ##Output languages: Chinese and English.

[0120] ##Description: An expert in creating prompts for illustrations in popular science articles, who can accurately understand the article fragments and rewrite the original content into a vivid scene description text. The rewritten text should enable the Stable Diffusion painting tool to create a picture that can precisely convey the article fragment.

[0121] Skills: Sometimes the content of the article fragment lacks elements for a vivid scene description. You need to supplement the missing elements through imagination. When supplementing, provide a complete description of the scene elements, fully understand the original content, capture the important keywords, and form each element. Connect the context, make reasonable inferences based on the article content, optimize and adjust inappropriate element content, or appropriately supplement the missing element content.

[0122] ##Constraints: Please rewrite the input text according to the context, without changing the meaning of the sentence, without omission, without fabrication, and in line with logic. Follow the original logic and avoid introducing ambiguity. The rewritten text must be no less than 100 words. Do not output words that cannot form a vivid scene, such as

being selected

[0123] ##Analysis process: The analysis can be carried out according to the following workflow: "1. Analyze {{input}}. According to whether there are characters in the text, it can be divided into two situations: 1. When there are characters in {{input}}, this can be further divided into three situations: (1) The text describes what a person is doing where. This situation itself is quite vivid, so we only need to analyze what the missing visual content in the text is. For example: [The childcare worker is patiently communicating with the little girl in the living room]. Analysis: In this text, the characters [the childcare worker], the expression [patiently], the action [communicating with the little girl], and the scene [the living room] are all present, but the environmental lighting and camera angle are missing. We need to consider how to add these two elements (environmental lighting and camera angle). Considering that the scene is the living room, it can be reasonably inferred that the environmental lighting is [daytime]. And since the expression + action of the character is [patiently communicating with the little girl], in order to clearly see the character's expression, it is reasonably inferred that the camera angle is [front view, bust shot]. We can supplement and enrich the visual according to the scene. For example, based on [the childcare worker], [the little girl], and [the living room], we can infer that there are objects [toys], [carpets], [books] in the scene. (2) When a profession appears in the text, we can infer the possible actions of the characters in the scene described in the text based on the context. For example: [Who is reliable to hire for domestic cleaning? Domestic cleaning is an important issue that every family has to face, and choosing a reliable cleaner is even more crucial.]. Analysis: The character is [the cleaner], the common clothing of the cleaner is [apron], the common action is [mopping the floor], the location where it appears is [the living room], the expression is [serious], the environmental lighting is [daytime], and the camera angle is [full body]. We can enrich the visual by adding the common clothing and tools of the profession according to the scene. For example, the common clothing of the cleaner is [apron], [gloves], and the common tools are [rags], [mops] and other cleaning tools, and modify according to the different natures of different professions. (3) Extract the central event of the text and determine the possible staff in this event according to the context. For example: [Moving is a cumbersome thing. Choosing a reliable moving service company can greatly relieve your burden. But how to find a more reliable moving service?], Analysis: The central event is moving. The common characters in this kind of scene are [movers], the action is [carrying boxes], the scene is [the community], the expression is [serious], the environmental lighting is [daytime], and the camera angle is [full body]. 2. When there are no characters in the text, we need to analyze what the scene, environmental lighting, and camera angle described in the text are according to the context. (1) When a location appears, for example: [The lawyer's office is empty]. Analysis: The scene is [the lawyer's office], and according to the context, the environmental lighting is [daytime], and the camera angle is [panorama]. According to the nature of the scene, we can analyze that there may be objects [contracts], [computers], [tables], [chairs], etc. in the scene.(2) When specific occupation-related words appear in the text, you can focus on the tools commonly used in that occupation. For example, for [Who is reliable for household cleaning?], analyze that the commonly used tools for household cleaning are [cleaning tools], the frequently appearing environment is [living room], the environmental light is [daytime], and the camera angle is [close-up shot]. Special note: You don't need to output anything for this step of analysis. It just represents your work process. Second, segment {{input}}, and each paragraph will be separated by punctuation marks [。], [!], or [?]. Then, please also output according to each paragraph. Each paragraph is strictly rewritten according to the format of the scene description text. According to whether there are characters in the text, it is divided into two situations: 1. When there are characters in the text (1) The rules for outputting character names are as follows: Please use the third person, such as: a man, a woman, a boy, a girl, a little boy, a little girl, a middle-aged woman, a middle-aged man, an elderly woman, an elderly man, 2 girls, 3 boys, etc. to describe; if occupation names appear in the text, such as: cleaner, nanny, repair worker, etc., use a female cleaner, a female nanny, a male repair worker, etc. to represent the character names. Do not allow names such as: you, me, him. Do not allow general character names such as everyone, people, etc. (2) According to the analysis in the second step, output according to the format [Character + Clothing + Expression + Tool + Action + Scene + Object + Environmental Light + Camera Angle]. For example, Case 1: User input: [The childcare worker patiently communicates with the little girl in the living room] Output: A middle-aged childcare worker, wearing a T-shirt, holding a book, stands in the living room, patiently communicating with the little girl, daytime, front view, bust shot. Case 2: User input: [Who is reliable for household cleaning? Household cleaning is an important issue that every family needs to face, and choosing a reliable cleaner is even more crucial.] Output: A middle-aged cleaner, wearing an apron, with a serious expression, holding a vacuum cleaner in hand, cleaning the dirty carpet in the living room, daytime, full body. Case 3: User input: [Moving is a cumbersome thing. Choosing a reliable moving service company can greatly reduce your burden. But how to find a more reliable moving service?] Output: Moving workers, wearing work clothes, with a serious expression, dragging a trolley, carrying cartons onto the moving truck in front of the apartment building, daytime, wide-angle shot. 2. When there are no characters in the text, according to the analysis in the second step, output according to the format [Scene + Object + Environmental Light + Camera Angle]. For example, Case 1: User input: [The lawyer's office is empty] Output: The lawyer's office, with contracts and computers on the table, daytime, panoramic view. "Case 2: User input: [Who is reliable for household cleaning?] Output: Cleaning tools are placed in the living room, daytime, close-up shot.## Output: The output prompt must strictly include the following content. Only output the prompt, without the analysis process! Output two scenarios, one with people and the other without people, both in close-up or extreme close-up shots, focusing on the people or objects themselves: 1. In the case of having people: Chinese nationality + expression + action + scene + ambient lighting + camera perspective in front of the person. 2. In the case of not having people: scene + ambient lighting + camera perspective. Only output the final prompt, including the Chinese and English corresponding versions! The prompt should be no less than 200 words. In addition to the above-mentioned key points, you can freely play around and enrich the picture content.

[0124] For the technical solutions provided in the above embodiments of the present application, users can search for search result items pointing to the first target article page published on the target platform based on the search terms, and jump to the first target article page based on the search result items pointing to the first target article page. Further, the first target article includes multiple display areas. The first area displays multi-modal article content generated by an AI multi-modal generation model based on artificial intelligence related to the search terms. Through the entry information in the second area, the user can enter the knowledge square page, and the user can continue to view any article page under any category information through the knowledge square page. Through a searched article page, the user can view more relevant article pages. Such a page structure can provide users with more rich and user-interested relevant information, meet the user's information needs, and thus attract user traffic.

[0125] Figure 3 It is a schematic flowchart of the article page generation method provided by the exemplary embodiment of the present application. As Figure 3 shown, the method includes:

[0126] 301. Periodically obtain the popular search terms and popular comments corresponding to at least one category information;

[0127] 302. According to the popular search terms and popular comments, use an AI multi-modal generation model based on artificial intelligence to generate multi-modal content for each category information to obtain the article content corresponding to each category information;

[0128] 303. Obtain the target page structure, where the target page structure includes a first area and a second area, and the second area includes entry information pointing to the knowledge square page;

[0129] 304. Add the article content corresponding to each category information to the first area of the target page structure respectively to obtain the target article page corresponding to each category information.

[0130] Optionally, according to the popular search terms and popular comments, an AI multi-modal generation model based on artificial intelligence is used to generate multi-modal content for each category information to obtain the article content corresponding to each category information, including: determining the hot topics in the current period according to the popular search terms and popular comments, and each hot topic belongs to a category information; if the hot topics in the current period change compared with the hot topics in the previous period, obtaining the historical article content related to the target hot topic that has changed; inputting the target hot topic, the category information to which the target hot topic belongs, and the historical article content into the AI multi-modal generation model based on artificial intelligence to generate multi-modal content for the target hot topic and the related historical article content under the same category information, so as to obtain the article content corresponding to each category information.

[0131] Optionally, the article content corresponding to each category information includes the article theme, picture content and text content belonging to the category information, and the text content includes at least one hot topic and the topic content under each hot topic; inputting the target hot topic, the category information to which the target hot topic belongs, and the historical article content into the AI multi-modal generation model based on artificial intelligence to generate multi-modal content for the target hot topic and the related historical article content under the same category information, so as to obtain the article content corresponding to each category information, including: for any category information, determining the theme structure according to the attribute information of the category information, and generating the article theme of the category information based on the theme structure; integrating the historical hot topics and historical topic content in the historical article content related to the category information according to the target hot topic under the category information based on the built-in prompt words of the multi-modal generation model to obtain at least one hot topic and the topic content under each hot topic under the category information; inputting at least one hot topic and the topic content under each hot topic under the category information into the text-to-image model in the multi-modal generation model for text-to-image processing to obtain the picture content belonging to the category information.

[0132] Further optionally, the address information of the target article page corresponding to each category information is published on the target search engine for users to search for the target article page corresponding to any category information through the target search engine and access it when the target page corresponding to any category information is searched.

[0133] Further optionally, obtain the current location information sent by the user terminal. The current location information is the location information when the user initiates a trigger operation on a search result item of the target article page corresponding to the target category information. The search result item is searched based on a search term, and the target category information is any category information. According to the target category information, obtain merchant information that can provide services or goods under the target category information. According to the current location information, select target merchant information adapted to the current location information from the merchant information. After embedding the target merchant information into the target article page corresponding to the target category information, send the target article page corresponding to the target category information to the user terminal for the user terminal to display to the user.

[0134] Further optionally, the target page structure further includes a third area. If the third area includes a message area, add a message control to the third area. The message control is used for the user to perform a comment operation. Receive the comment content sent by the user terminal and add the comment content to a specified position in the message area. The comment content is input by the user through the message control.

[0135] Further optionally, the target page structure further includes a fourth area. Before sending the target article page corresponding to the target category information to the user terminal, determine at least one category tag and at least one target article page associated with each category tag based on at least one of the search term, the user's search behavior information, and the search behavior information of the user's associated users. Embed the at least one category tag and at least one target article page associated with the default category tag into the fourth area of the target article page corresponding to the default category.

[0136] Further optionally, after sending the target article page corresponding to the target category information to the user terminal, receive a fetch request sent by the user terminal. The fetch request is used to request at least one target article page associated with the target category tag selected by the user. According to the fetch request, send at least one target article page associated with the target category tag to the user terminal for the user terminal to display at least one target article page associated with the target category tag in the fourth area.

[0137] In the embodiments of the present application, by periodically obtaining the popular search terms and popular comments corresponding to at least one category information, the article content corresponding to each category information generated by using an AI multimodal generation model based on artificial intelligence has a certain periodicity and is a popular topic content within the current period. Moreover, the generated content is multimodal and has a relatively rich form, which can meet the information needs of users within the current period, thereby attracting user traffic. Additionally, according to the target page structure, the target article page corresponding to each category information can be obtained. For example, if the page structure includes a first area and a second area, the article content corresponding to each category information can be added to the first area of the target page structure respectively. The second area includes the entry information pointing to the knowledge square page. Then, through a searched article page, users can view more relevant article pages. Such a page structure can provide users with more rich and user-interested relevant information, meet the information needs of users, and thus attract user traffic.

[0138] The detailed implementation manners and beneficial effects of the various steps provided in the embodiments of the present application have been described in detail in the foregoing embodiments, and will not be elaborated herein.

[0139] Figure 4 It is a schematic structural diagram of an electronic device provided for an exemplary embodiment of the present application. As Figure 4 shown, it includes: a memory 40a and a processor 40b; the memory 40a is used for storing a computer program; the processor 40b is coupled to the memory 40a and is used for executing the computer program to implement the following steps:

[0140] Periodically obtain the popular search terms and popular comments corresponding to at least one category information; according to the popular search terms and popular comments, use an AI multimodal generation model based on artificial intelligence to generate multimodal content for each category information to obtain the article content corresponding to each category information; obtain a target page structure, the target page structure includes a first area and a second area, and the second area includes the entry information pointing to the knowledge square page; add the article content corresponding to each category information to the first area of the target page structure respectively to obtain the target article page corresponding to each category information.

[0141] Optionally, when the processor generates multimodal content for each category information by using an AI multimodal generation model based on artificial intelligence according to popular search terms and popular comments, it is specifically used for: determining hot topics within the current period according to popular search terms and popular comments, where each hot topic belongs to a category information; if the hot topics in the current period change compared with those in the previous period, obtaining historical article content related to the target hot topic that has changed; inputting the target hot topic, the category information to which the target hot topic belongs, and the historical article content into the AI multimodal generation model based on artificial intelligence to generate multimodal content for the target hot topic and the related historical article content under the same category information, so as to obtain the article content corresponding to each category information.

[0142] Optionally, the article content corresponding to each category information includes an article theme, picture content, and text content belonging to the category information. The text content includes at least one hot topic and the topic content under each hot topic. When the processor inputs the target hot topic, the category information to which the target hot topic belongs, and the historical article content into the AI multimodal generation model based on artificial intelligence to generate multimodal content for the target hot topic and the related historical article content under the same category information, so as to obtain the article content corresponding to each category information, it is specifically used for: for any category information, determining a theme structure according to the attribute information of the category information, and generating an article theme for the category information based on the theme structure; integrating the historical hot topics and historical topic content in the historical article content related to the category information according to the target hot topic under the category information based on the built-in prompt words of the multimodal generation model, so as to obtain at least one hot topic and the topic content under each hot topic under the category information; inputting at least one hot topic and the topic content under each hot topic under the category information into the text-to-image model in the multimodal generation model for text-to-image processing, so as to obtain the picture content belonging to the category information.

[0143] Further optionally, the processor is further used to publish the address information of the target article page corresponding to each category information to the target search engine, so that users can search for the target article page corresponding to any category information through the target search engine and access it when the target page corresponding to any category information is searched.

[0144] Further optionally, the processor is further configured to obtain the current location information sent by the user terminal, where the current location information is the location information when the user initiates a trigger operation on a search result item of the target article page corresponding to the target category information, the search result item is searched based on a search term, and the target category information is any category information; obtain merchant information that can provide services or goods under the target category information according to the target category information; select target merchant information adapted to the current location information from the merchant information according to the current location information; after embedding the target merchant information into the target article page corresponding to the target category information, send the target article page corresponding to the target category information to the user terminal for the user terminal to display to the user.

[0145] Further optionally, the target page structure further includes a third area, and the third area includes a message area. Then the processor is further configured to add a message control to the third area, where the message control is used for the user to perform a comment operation; receive the comment content sent by the user terminal, and add the comment content to a specified position in the message area; where the comment content is input by the user through the message control.

[0146] Further optionally, the target page structure further includes a fourth area. The processor is further configured to, before sending the target article page corresponding to the target category information to the user terminal, determine at least one category tag and at least one target article page associated with each category tag based on at least one of the search term, the user's search behavior information, and the search behavior information of the user's associated users; embed the at least one category tag and at least one target article page associated with the default category tag into the fourth area of the target article page corresponding to the default category.

[0147] Further optionally, the processor is further configured to, after sending the target article page corresponding to the target category information to the user terminal, receive a fetch request sent by the user terminal, where the fetch request is used to request at least one target article page associated with the target category tag selected by the user; according to the fetch request, send at least one target article page associated with the target category tag to the user terminal for the user terminal to display at least one target article page associated with the target category tag in the fourth area.

[0148] Further, as Figure 4 shown, the server further includes: other components such as a communication component 40c, a display 40d, a power supply component 40e, and an audio component 40f. Figure 4 Only some components are schematically shown, and it does not mean that the electronic device only includes Figure 4 the components shown.

[0149] The detailed implementation manners and beneficial effects of the electronic device provided in the embodiments of the present application have been described in detail in the foregoing embodiments, and will not be elaborated herein.

[0150] An exemplary embodiment of the present application further provides a computer-readable storage medium storing a computer program, which, when executed by a processor, causes the processor to implement the steps in the foregoing method embodiments.

[0151] An exemplary embodiment of the present application further provides a computer program product, which includes computer programs / instructions that, when executed by a processor, cause the processor to be able to implement the steps in the foregoing method embodiments.

[0152] The foregoing memory may be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, a magnetic disk, or an optical disc.

[0153] The foregoing communication component is configured to facilitate communication between the device where the communication component is located and other devices in a wired or wireless manner. The device where the communication component is located may access a wireless network based on a communication standard, such as WiFi, 2G, 3G, 4G / LTE, 5G and other mobile communication networks, or a combination thereof. In an exemplary embodiment, the communication component receives a broadcast signal or broadcast-related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component further includes a near field communication (NFC) module to facilitate short-range communication. For example, the NFC module may be implemented based on radio frequency identification (RFID) technology, infrared data association (IrDA) technology, ultra-wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.

[0154] The above-mentioned display includes a screen, which may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen can be implemented as a touch screen to receive input signals from a user. The touch panel includes one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensors can sense not only the boundaries of touch or swipe actions but also detect the duration and pressure associated with the touch or swipe operations.

[0155] The above-mentioned power supply component provides power for various components of the device where the power supply component is located. The power supply component may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power for the device where the power supply component is located.

[0156] The above-mentioned audio component can be configured to output and / or input audio signals. For example, the audio component includes a microphone (MIC), which is configured to receive external audio signals when the device where the audio component is located is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals can be further stored in the memory or transmitted via the communication component. In some embodiments, the audio component further includes a speaker for outputting audio signals.

[0157] Those skilled in the art should understand that the embodiments of the present application can be provided as a method, a system, or a computer program product. Therefore, the present application can take the form of an all-hardware embodiment, an all-software embodiment, or an embodiment combining software and hardware aspects. Moreover, the present application can take the form of a computer program product implemented on one or more computer-readable storage media (including but not limited to disk memories, Compact Disc Read-Only Memories (CD-ROMs), optical memories, etc.) containing computer-usable program code.

[0158] The present application is described with reference to the flowcharts and / or block diagrams of methods, apparatuses (systems), and computer program products according to the embodiments of the present application. It should be understood that each flow and / or block in the flowcharts and / or block diagrams, as well as the combination of flows and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, such that the instructions executed by the processor of the computer or other programmable data processing devices generate for implementing in the process Figure 1 a single process or multiple processes and / or blocks Figure 1means for the functions specified in one or more blocks.

[0159] These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to operate in a particular manner, such that the instructions stored in the computer-readable memory produce a manufacture including an instruction means that implements the functions specified in one Figure 1 one or more processes and / or blocks Figure 1 means for the functions specified in one or more blocks.

[0160] These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus, such that a series of operational steps are performed on the computer or other programmable apparatus to produce a computer-implemented process, whereby the instructions executed on the computer or other programmable apparatus provide steps for implementing the functions specified in one Figure 1 one or more processes and / or blocks Figure 1 means for the functions specified in one or more blocks.

[0161] In a typical configuration, a computing device includes one or more processors (Central Processing Unit, CPU), an input / output interface, a network interface, and memory.

[0162] The memory may include non-permanent memory in the form of computer-readable media, random access memory (Random Access Memory, RAM) and / or non-volatile memory such as read-only memory (ROM) or flash memory (flash RAM). The memory is an example of computer-readable media.

[0163] A computer-readable medium includes both permanent and non-permanent, removable and non-removable media that can implement information storage by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase-change random access memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transitory medium that can be used to store information accessible by a computing device. As defined herein, a computer-readable medium does not include transitory computer-readable media, such as modulated data signals and carrier waves.

[0164] It should also be noted that the term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, such that a process, method, article or apparatus comprising a series of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article or apparatus. Without further limitation, an element defined by the statement "comprising an..." does not exclude the presence of additional identical elements in the process, method, article or apparatus comprising the element.

[0165] The above are only embodiments of the present application and are not used to limit the present application. For those skilled in the art, various changes and modifications can be made to the present application. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principle of the present application shall be included within the scope of the claims of the present application.

Claims

1. A method for generating an article page, characterized in that: include: Periodically obtain popular search terms and popular comments corresponding to at least one category of information; According to the popular search terms and the popular comments, an AI multimodal generation model based on artificial intelligence is used to generate multimodal content for each category information to obtain article content corresponding to each category information; Acquire a target page structure, wherein the target page structure includes a first area and a second area, wherein the second area includes entry information pointing to a knowledge plaza page; The article contents corresponding to each category information are added to the first area of ​​the target page structure respectively to obtain the target article page corresponding to each category information.

2. The method according to claim 1, characterized in that According to the popular search terms and the popular comments, the AI ​​multimodal generation model based on artificial intelligence is used to generate multimodal content for each category information to obtain article content corresponding to each category information, including: Determine hot topics in the current period according to the hot search terms and the hot comments, each hot topic belonging to a category of information; If the hot topic of the current cycle changes relative to the hot topic of the previous cycle, obtain the historical article content related to the changed target hot topic; The target hot topic, the category information to which the target hot topic belongs, and the historical article content are input into the AI ​​multimodal generation model based on artificial intelligence, and multimodal content is generated for the target hot topic and related historical article content under the same category information to obtain the article content corresponding to each category information.

3. The method according to claim 2, characterized in that The article content corresponding to each category information includes the article theme, picture content and text content belonging to the category information, and the text content includes at least one hot topic and topic content under each hot topic; the target hot topic, the category information to which the target hot topic belongs, and the historical article content are input into the AI ​​multimodal generation model based on artificial intelligence, and multimodal content is generated for the target hot topic and related historical article content under the same category information, so as to obtain the article content corresponding to each category information, including: For any category information, determine the topic structure according to the attribute information of the category information, and generate the article topic of the category information based on the topic structure; Based on the built-in prompt words of the multimodal generation model, historical hot topics and historical topic contents in historical article contents related to the category information are integrated according to the target hot topics under the category information to obtain at least one hot topic under the category information and topic contents under each hot topic; At least one hot topic under the category information and the topic content under each hot topic are input into the text-generated graph model in the multimodal generation model for text-generated graph processing to obtain the picture content belonging to the category information.

4. The method according to claim 1, characterized in that Also includes: The address information of the target article page corresponding to each category information is published on the target search engine, so that users can search for the target article page corresponding to any category information through the target search engine and access it when the target page corresponding to any category information is found.

5. The method according to claim 4, characterized in that Also includes: Acquire current location information sent by the user terminal, the current location information is location information when the user initiates a trigger operation on a search result item pointing to a target article page corresponding to target category information, the search result item is searched based on a search term, and the target category information is any category information; According to the target category information, obtain information of merchants that can provide services or products under the target category information; According to the current location information, selecting target merchant information that is compatible with the current location information from the merchant information; After the target merchant information is embedded into the target article page corresponding to the target category information, the target article page corresponding to the target category information is sent to the user terminal so that the user terminal can display it to the user.

6. The method according to claim 5, characterized in that The target page structure further includes a third area, and the third area includes a message area; the method further includes: Adding a message control to the third area, wherein the message control is used for users to make comments; Receive the user's comment content sent by the user terminal, and add the comment content to the designated position of the message area; wherein the comment content is input by the user through the message control.

7. The method according to any one of claims 1 to 6, characterized in that The target page structure also includes: a fourth area; Based on at least one of the search term, the user's search behavior information, and the user's associated user's search behavior information, determining at least one category tag and at least one target article page associated with each category tag; The at least one category tag and at least one target article page associated with the default category tag are embedded in the fourth area of ​​the target article page corresponding to the default category.

8. The method according to claim 7, characterized in that Also includes: Receiving an acquisition request sent by the user terminal, the acquisition request is used to request at least one target article page associated with the target category tag selected by the user; According to the acquisition request, at least one target article page associated with the target category tag is sent to the user terminal, so that the user terminal displays at least one target article page associated with the target category tag in the fourth area.

9. An electronic device, characterized in that: include: Memory and processor; The memory is used to store a computer program; the processor is coupled to the memory and is used to execute the computer program to implement the steps in the method according to any one of claims 1 to 8.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the processor is caused to implement the steps in the method according to any one of claims 1 to 8.

11. A computer program product, characterized in that The computer program product comprises a computer program / instruction, and when the computer program / instruction is executed by a processor, the processor is enabled to implement the steps in any one of the methods of claims 1-8.

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