Interactive encyclopedia implementation method and device based on artificial intelligence, and terminal

Abstract

The invention discloses an interactive encyclopedia implementation method and device based on artificial intelligence, and a terminal, and belongs to the technical field of artificial intelligence education. The method comprises the following steps: constructing an encyclopedia knowledge framework in advance according to a preset classification system, collecting parent-child education videos and setting a home page display mode; accessing an artificial intelligence video understanding interface into an encyclopedia knowledge framework, and carrying out content understanding and segmentation on parent-child education videos; a user operation instruction is received to play the video, a midfield interaction link is added in the playing process, each segment node is controlled to correspond to one knowledge point, and an interaction problem is displayed; receiving feedback information of the user for the interaction problem and reminding whether the feedback information is correct or not; and collecting user behavior data, constructing a user portrait, and carrying out personalized sorting and content recommendation on encyclopedia videos in combination with a knowledge graph. The interaction of parent-child education videos is enhanced through the artificial intelligence technology, the learning effect is improved, personalized learning experience is achieved, and the learning interest and knowledge absorption efficiency of children are effectively improved.

Description

Technical Field

[0001] The present invention relates to the field of artificial intelligence technology, and in particular to an artificial intelligence-based interactive encyclopedia implementation method, device, intelligent terminal and storage medium. Background Art

[0002] With the rapid development of internet technology and artificial intelligence, the field of education is undergoing profound changes, especially in children's education. Traditional educational methods can no longer meet the diverse needs of modern families for parent-child education. The imparting of encyclopedic knowledge has always been a key component of parent-child education. However, traditional encyclopedic knowledge presentation methods are generally one-way output models with many limitations.

[0003] Currently, there are many popular science education resource recommendation systems on the market. However, the existing technologies still have the following problems: First, traditional video education uses a one-way output model, lacking interactivity and adapting to children's cognitive patterns. Existing educational videos are mostly linear, making it difficult to maintain children's attention and learning interest. They also lack real-time interactive elements during video playback, making it impossible to segment content and extract key knowledge points based on children's cognitive characteristics.

[0004] Secondly, traditional encyclopedias present isolated knowledge points, lacking semantic connections and scalability, which hinders children from building a complete knowledge system. Existing encyclopedia knowledge frameworks are often static and fragmented, making it difficult to form a systematic knowledge network and lacking a clear understanding of the connections between knowledge points.

[0005] Third, existing children's educational content struggles to meet personalized and diverse learning needs. While some systems have introduced personalized recommendation features, the collection and analysis of user behavior data remains incomplete, making it difficult to accurately capture children's interests, preferences, and learning habits, resulting in a gap between recommended content and actual needs.

[0006] In addition, existing technologies lack solutions that organically combine artificial intelligence video understanding technology with interactive encyclopedia knowledge frameworks, making it impossible to achieve intelligent analysis of video content, knowledge point extraction, and interactive question generation, thereby limiting the effectiveness and experience of parent-child education.

[0007] Therefore, there is an urgent need for an interactive encyclopedia implementation method that can combine artificial intelligence video understanding technology to provide strong interactivity, a complete knowledge system, and a high degree of personalization to meet the needs of modern parent-child education. Summary of the Invention

[0008] In order to solve the technical problems of lack of interactivity in traditional video education, isolated encyclopedia knowledge points, and the difficulty of existing children's education content to meet personalized needs, and to achieve the technical effects of breaking through the traditional one-way video output mode, establishing semantic connections between knowledge points, and providing personalized learning experience, the present invention provides an interactive encyclopedia implementation method, device, intelligent terminal and storage medium based on artificial intelligence. The present invention adopts voice interaction, mixed text and image layout and answering special effects design to break through the traditional one-way video output mode and achieve deep adaptation of children's cognitive laws and AI interaction; through the large model, related content is dynamically recommended, semantic connections between knowledge points are established, and the defect of lack of scalability of isolated entries in traditional encyclopedias is solved.

[0009] The technical solutions adopted by the present invention to solve the problem are as follows: An interactive encyclopedia implementation method based on artificial intelligence includes constructing an encyclopedia knowledge framework in advance according to a preset classification system, collecting and acquiring corresponding parent-child education videos to access the encyclopedia knowledge framework, and setting a preset homepage display mode; connecting an artificial intelligence video understanding interface to the encyclopedia knowledge framework for content understanding and segmenting the parent-child education video; receiving user operation instructions to play the corresponding parent-child education video, adding a predetermined mid-game interactive link to the parent-child education video through the connected artificial intelligence video understanding interface, controlling each segment node to correspond to a knowledge point, and displaying interactive questions for each node; receiving user feedback information on the interactive questions, and providing corresponding correctness reminders for the feedback information; collecting user behavior data during the use of the encyclopedia knowledge framework, and performing personalized sorting and content recommendation on the encyclopedia videos of the encyclopedia knowledge framework.

[0010] A further preferred embodiment of the present invention is that the steps of constructing an encyclopedic knowledge framework in advance according to a preset classification system, collecting and obtaining corresponding parent-child education videos and accessing the encyclopedic knowledge framework, and setting a preset homepage display method include: constructing an encyclopedic knowledge framework in advance according to a preset classification system, wherein the preset classification system includes first-level classifications such as natural sciences, daily life, and historical scrolls, as well as second-level content under each classification; collecting and obtaining corresponding parent-child education videos and accessing them to corresponding classification items in the encyclopedic knowledge framework; setting the preset homepage display method to display on the encyclopedia homepage in the form of book display and tag switching.

[0011] A further preferred embodiment of the present invention is: the step of connecting the artificial intelligence video understanding interface to the encyclopedic knowledge framework for content understanding and segmenting the parent-child education video includes: connecting the designated artificial intelligence video understanding technology interface to the encyclopedic knowledge framework for content understanding and segmenting each parent-child education video in the encyclopedic knowledge framework during playback, explaining each segment, and collecting keywords for each segment for subsequent generation of interactive questions.

[0012] A further preferred embodiment of the present invention is: the step of receiving user operation instructions to play the corresponding parent-child education video, adding a predetermined intermission interactive link in the parent-child education video process through the connected artificial intelligence video understanding interface, and controlling each segment node to correspond to a knowledge point, and displaying interactive questions for each node includes: loading and playing a specific parent-child education video according to user instructions; using AI technology to analyze the content of the parent-child education video in real time, including scenes, voice, and actions; automatically inserting interactive content when the parent-child education video is played to a specified position, and the interactive content includes questions and mini-games; dividing the content of the parent-child education video into multiple paragraphs, each paragraph corresponding to a specific knowledge point; and displaying related questions after each knowledge point to promote understanding and thinking.

[0013] A further preferred embodiment of the present invention is that the steps of receiving feedback information from the user on the interactive questions and providing corresponding reminders on whether the feedback information is correct or not include: for each knowledge point question, receiving the user's answer feedback information on the interactive questions, and verifying the answer feedback information; when the verification is passed, providing a reminder that the answer is correct; when the verification fails, providing a reminder that the answer is incorrect.

[0014] A further preferred embodiment of the present invention is: the step of collecting the behavioral data of users in the process of using the encyclopedic knowledge framework and performing personalized sorting and content recommendation on the encyclopedia videos of the encyclopedic knowledge framework includes: collecting the behavioral data of users in the process of using the encyclopedic knowledge framework, the behavioral data including viewing history, interactive answering status, and search keywords; constructing a user portrait based on the collected behavioral data, including the user's interest tags, knowledge level, and learning preferences; combining the user portrait and the knowledge graph to perform personalized sorting on the encyclopedia videos of the encyclopedic knowledge framework; the sorting algorithm comprehensively considers the relevance and popularity of the video and the user's historical behavioral preference factors to ensure that the recommendation results are in line with the user's interests and can guide the user to explore new areas of knowledge.

[0015] A further preferred embodiment of the present invention is that the step of collecting behavioral data of users in the process of using the encyclopedic knowledge framework and performing personalized sorting and content recommendation on encyclopedia videos of the encyclopedic knowledge framework also includes: active content guidance, obtaining the user's theme playback needs through a quick question and answer method; when the quick question and answer is over, the first encyclopedia knowledge point under the corresponding theme is played according to the theme selected by the user, and the user is controlled to directly enter the playback page from the homepage.

[0016] By combining artificial intelligence video understanding technology with the encyclopedia knowledge framework, the present invention breaks through the traditional one-way video output mode, realizes the deep adaptation of children's cognitive laws and AI interaction, and effectively improves children's learning participation and effect; through the large model to dynamically recommend related content, it establishes semantic connections between knowledge points, solves the defect of lack of scalability of isolated entries in traditional encyclopedias, and helps children build a complete knowledge system; based on the personalized recommendation mechanism of user behavior data and portrait analysis, the recommendation results are in line with the user's interests and can guide users to explore new areas of knowledge, meeting the personalized and diversified learning needs of children; through voice interaction, mixed text and picture layout and answering special effects design, it realizes an "interactive and updated" encyclopedia, which helps children explore knowledge in all aspects.

[0017] An interactive encyclopedia implementation device based on artificial intelligence, wherein the device comprises: The encyclopedia knowledge framework building module is used to construct the encyclopedia knowledge framework in advance according to the preset classification system, collect and obtain the corresponding parent-child education videos to access the encyclopedia knowledge framework, and set the preset homepage display method; Connecting an artificial intelligence video understanding interface to the encyclopedia knowledge framework to understand and segment the parent-child education video content; Receive user operation instructions to play the corresponding parent-child education video, add a predetermined mid-game interactive link to the parent-child education video through the accessed artificial intelligence video understanding interface, control each segment node to correspond to a knowledge point, and display interactive questions for each node; Receive user feedback on interactive issues and provide corresponding reminders on whether the feedback is correct or not; Collect user behavior data when using the encyclopedia knowledge framework, and perform personalized sorting and content recommendation on the encyclopedia videos of the encyclopedia knowledge framework.

[0018] An intelligent terminal includes a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors, including the method for executing any one of the methods described above.

[0019] A computer-readable storage medium, wherein when instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to perform any one of the methods described above.

[0020] The beneficial effects of this invention are: it implements a professional knowledge classification system, uses AI large-scale model voice to empower, allows AI to interact with users and answer users' questions related to knowledge divergence, and realizes an "interactive and updated" encyclopedia. It also has the following advantages: 1) Using voice interaction, mixed text and image layout, and special effects for answering questions, it breaks through the traditional one-way video output mode and achieves deep adaptation of children's cognitive patterns and AI interaction; 2) Dynamically recommend related content through a large model, establish semantic connections between knowledge points, and address the lack of scalability of isolated entries in traditional encyclopedias. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments recorded in the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0022] Figure 1 It is a flowchart of the method for implementing an interactive encyclopedia based on artificial intelligence provided by an embodiment of the present invention.

[0023] Figure 2 This is a schematic diagram of an example implementation interface of the interactive encyclopedia implementation method based on artificial intelligence provided by an embodiment of the present invention.

[0024] Figure 3 This is a schematic diagram of the default video playback status interface of the interactive encyclopedia implementation method based on artificial intelligence provided by an embodiment of the present invention.

[0025] Figure 4 It is a schematic diagram of the mid-game interactive state-multiple-choice question interface of the interactive encyclopedia implementation method based on artificial intelligence provided by an embodiment of the present invention.

[0026] Figure 5 This is a flow chart of the method for implementing an interactive encyclopedia based on artificial intelligence provided in Example 2 of the present invention.

[0027] Figure 6 A principle block diagram of an embodiment of an interactive encyclopedia implementation device based on artificial intelligence provided by the present invention.

[0028] Figure 7 This is a block diagram of the internal structure of the smart terminal provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0029] In order to make the purpose, technical solutions and advantages of the present invention more clear and distinct, the present invention is further described in detail below with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0030] It should be noted that if the embodiments of the present invention involve directional indications (such as up, down, left, right, front, back, etc.), the directional indications are only used to explain the relative position relationship, movement status, etc. between the various components under a certain specific posture (as shown in the accompanying drawings). If the specific posture changes, the directional indications will also change accordingly.

[0031] With the development of science and technology and the continuous improvement of people's living standards, the use of various smart terminals is becoming more and more popular. It is also very convenient to check children's encyclopedia videos on smart terminals. However, the traditional children's encyclopedia videos in existing technologies adopt a one-way output mode; and the isolated entries in traditional encyclopedias lack scalability and are difficult to meet personalized and diversified needs.

[0032] Therefore, the present invention provides an interactive encyclopedia implementation method based on artificial intelligence. The method of the present invention can be implemented through a children's knowledge popularization application installed on a TV. It relies on a professional knowledge classification system and uses AI large model voice for empowerment, allowing AI to interact with users and answer users' related questions regarding knowledge divergence; thus, an encyclopedia that is "interactive and has updated content" is realized.

[0033] Example 1 like Figure 1 As shown, a method for implementing an interactive encyclopedia based on artificial intelligence in embodiment 1 of the present invention includes the following steps: Step S100: construct an encyclopedic knowledge framework based on a preset classification system, collect and obtain corresponding parent-child education videos and access them to the encyclopedic knowledge framework, and set a preset homepage display method; Specifically, an encyclopedia knowledge framework is constructed in advance based on a preset classification system; the preset classification system includes: first-level classifications such as natural science, daily life, and historical scrolls, as well as second-level content under each classification. Under the natural science category, there are second-level classifications such as the animal world, the plant kingdom, geographical wonders, astronomical exploration, and physical phenomena; Figure 2 As shown, under the daily life category, there are secondary categories such as human body encyclopedia, cultural transmission, health and sports, safety common sense, environmental protection knowledge, life skills, and social etiquette; under the historical scroll category, there are secondary categories such as ancient civilizations, major inventions, historical figures, cultural heritage, and historical events.

[0034] The corresponding parent-child education videos are collected and accessed into the corresponding classification items in the encyclopedic knowledge framework. The system obtains high-quality parent-child education video resources through multiple channels, including authorized parent-child education videos obtained online, cooperation with professional education institutions to obtain authorized video content, hiring professional teams to produce original education videos, and integrating high-quality education resources publicly available on the Internet. For each video obtained, the system will conduct content review, quality assessment and classification marking to ensure that the video content meets educational standards and is suitable for children of the target age group to watch. Videos that have passed the review will be assigned to the corresponding classification items in the encyclopedic knowledge framework, and keyword tags will be added for subsequent retrieval and recommendation.

[0035] Set the default homepage display mode to display the encyclopedia homepage in the form of book display and tab switching. Figure 2 As shown, the specific implementation method is to use the visual design of a virtual bookshelf on the encyclopedia homepage, displaying knowledge content of different categories in the form of exquisite book covers. Users can browse different "knowledge books" by swiping left and right. A tab bar is set at the top of the page, including primary classification labels such as "Natural Science", "Daily Life", and "Historical Scrolls". When users click on different tags, the content displayed on the bookshelf will switch to the knowledge books in the corresponding category. The cover design of each "knowledge book" is consistent with its content theme, and a brief theme description and age group identification are displayed on the cover to help users quickly identify the content type.

[0036] Step S200: Connecting the artificial intelligence video understanding interface to the encyclopedia knowledge framework to understand and segment the parent-child education video content; Specifically, the video understanding technology interface of the designated artificial intelligence is connected to the encyclopedic knowledge framework to understand and segment the content of each parent-child education video in the encyclopedic knowledge framework during playback, explain each segment, and collect keywords from each segment for subsequent generation of interactive questions.

[0037] The system integrates an advanced AI video understanding technology interface, which features multiple functions, including video content analysis, scene recognition, speech-to-text conversion, and semantic understanding. When a video is loaded into the system, the AI ​​interface automatically performs a comprehensive analysis, identifying key scenes, important objects, core concepts, and key knowledge points. Based on this analysis, the system divides the video content into multiple logical segments, each corresponding to a relatively independent knowledge point or theme.

[0038] For each video segment, the system generates concise and clear text descriptions to help users better understand the video content. At the same time, the system extracts keywords and core concepts from each segment to build a knowledge point index. These keywords and concepts are then used to generate interactive questions, ensuring they are closely related to the video content and effectively testing users' understanding of the knowledge points.

[0039] For example, this invention uses video understanding technologies such as DeepSeek and Doubao to understand and segment parent-child education videos, and then adds 1-2 interactive sessions during the video playback. Each segment node corresponds to a knowledge point, and interactive questions are set for each node.

[0040] The system also analyzes video content for attributes such as difficulty level, age group suitability, and knowledge areas, providing data support for subsequent personalized recommendations and content screening. In this way, the AI ​​video understanding interface not only enhances the user's viewing experience but also provides a foundation for intelligent content management and interactive design for the interactive encyclopedia system.

[0041] Step S300: Receive user operation instructions to play the corresponding parent-child education video, add a predetermined mid-game interactive link to the parent-child education video through the accessed artificial intelligence video understanding interface, control each segment node to correspond to a knowledge point, and display interactive questions for each node; Specifically, according to user instructions, a specific parent-child education video is loaded and played; AI technology is used to analyze the content of the parent-child education video in real time, including scenes, voice, and actions; when the parent-child education video is played to a specified position, interactive content is automatically inserted, and the interactive content includes questions and mini-games; the content of the parent-child education video is divided into multiple paragraphs, each paragraph corresponding to a specific knowledge point; and after each knowledge point, related questions are displayed to promote understanding and thinking.

[0042] When a user selects a specific parenting education video through a click, voice command, or other interactive method, the system immediately responds to the user's operation, loading and starting the selected video. During the video playback, the AI ​​video understanding interface continues to work, analyzing the video content in real time, including scene changes, character movements, voice content, and emotional expression.

[0043] Based on pre-set interaction strategies and real-time analysis results, the system automatically pauses the video at key moments and inserts carefully designed interactive segments. These segments can take the form of quizzes, multiple-choice questions, connection questions, or fun mini-games related to the current knowledge point. For example, in a video explaining animal characteristics, the system might pause after introducing a particular animal and prompt a question about its living habits, or design a mini-game to identify animal footprints.

[0044] The video content is intelligently divided into logical sections, each focusing on a specific knowledge point. After each point is explained, the system displays interactive questions closely related to that point. These questions are carefully designed to both test the user's understanding and encourage deeper reflection. The difficulty of the questions is dynamically adjusted based on the user's age group and historical learning performance, ensuring the interactive experience is challenging but not overly difficult.

[0045] In this way, the system transforms passive video viewing into an active learning experience, effectively improving user engagement and knowledge absorption.

[0046] Step S400: receiving user feedback on interactive questions and providing corresponding prompts on whether the feedback is correct or not; Specifically, for each knowledge point question, the user's answer feedback information for the interactive question selection is received and the answer feedback information is verified; when the verification passes, a reminder is given that the answer is correct; when the verification fails, a reminder is given that the answer is incorrect.

[0047] When the system displays interactive questions during video playback, users can submit their answers through various methods, such as clicking options, dragging and dropping to match, answering by voice, or handwriting input. The system will receive this feedback in real time and compare it with the preset correct answer or answer range for verification.

[0048] For multiple-choice questions, the system directly compares the user's selected option with the correct answer. For open-ended questions, the system uses natural language processing technology to analyze the semantic content of the user's response to determine whether it aligns with the key points of the answer. The verification process considers multiple possible correct expressions and allows for a certain degree of variability.

[0049] When a user answers correctly, the system immediately provides positive visual and auditory feedback, such as a green check mark, cheerful sound effects, and encouraging animations. Simultaneously, the system displays a brief message of praise, such as "Great! You got it right!" or "You're so smart! You got it right!", enhancing the user's sense of accomplishment and confidence in learning.

[0050] When a user answers incorrectly, the system will friendlyly indicate the incorrect answer, such as displaying a gentle red cross or playing a soft beep, to avoid frustration. Encouraging messages, such as "Think again" or "Almost there, try again," will be displayed. Based on the type of error, appropriate guidance will be provided to help users think in the right direction. For more complex questions, the system will also provide explanations after multiple attempts to ensure users understand the relevant knowledge points.

[0051] Regardless of the answer results, the system will record the user's answers as part of the user's learning performance, which will be used for subsequent personalized learning path adjustments and content recommendations.

[0052] Step S500: collect user behavior data when using the encyclopedic knowledge framework, and perform personalized sorting and content recommendation on the encyclopedic videos of the encyclopedic knowledge framework.

[0053] Specifically, behavioral data of users in the process of using the encyclopedic knowledge framework is collected, and the behavioral data includes viewing history, interactive answering status, and search keywords; based on the collected behavioral data, a user portrait is constructed, including the user's interest tags, knowledge level, and learning preferences; the encyclopedia videos of the encyclopedic knowledge framework are personalized sorted by combining the user portrait and the knowledge graph; the sorting algorithm comprehensively considers the relevance and popularity of the video and the user's historical behavioral preference factors to ensure that the recommendation results are in line with the user's interests and can guide the user to explore new areas of knowledge.

[0054] The system comprehensively collects various behavioral data of users on the platform, including but not limited to: video viewing history (including video types viewed, viewing duration, completion rate, number of repeat views, etc.); interactive answering (including answer accuracy rate, answering speed, common error types, etc.); search behavior (including search keywords, search frequency, click behavior, etc.); browsing behavior (including dwell time, click path, collection behavior, etc.); time dimension data such as usage period and frequency.

[0055] Based on this multi-dimensional behavioral data, the system constructs a refined user profile model. This model includes a user's interest tagging system (e.g., interest in animals, astronomy, history, etc.); knowledge level assessment (e.g., mastery of different knowledge areas); learning preference analysis (e.g., preference for visual or auditory learning, challenging or progressive content), and learning habits (e.g., optimal study time, duration of a single study session). The user profile is continuously updated and optimized as the user continues to use the system to ensure its accuracy and timeliness.

[0056] The system combines user profiles with a pre-built knowledge graph that describes the connections between knowledge points and learning paths. Using a sophisticated recommendation algorithm, the system provides personalized ranking and recommendations for encyclopedia videos. This ranking algorithm considers a variety of factors: content relevance (how well it matches the user's current interests and learning progress); content popularity (trends in overall user preferences); user historical behavior preferences (based on past user interactions); knowledge expansion value (content that expands the user's knowledge base); and timeliness (newly released or seasonally relevant content).

[0057] The recommendation system employs a hybrid strategy, catering to users' existing interests while also introducing new content to avoid the "information cocoon" effect and encouraging users to explore diverse areas of knowledge. The system also dynamically adjusts the difficulty level of recommended content based on the user's learning progress and ability level, ensuring a challenging yet not overly difficult learning experience.

[0058] In addition, the system also implements the function of active content guidance, obtaining the user's theme playback needs through quick questions and answers; when the quick questions and answers are over, the first encyclopedia knowledge point under the corresponding theme is played according to the theme selected by the user, and the control goes directly to the playback page from the homepage.

[0059] Specifically, after a user enters the app or browses for a while, the system will proactively pop up a simple quick question and answer interface. This friendly, conversational interface asks the user about their current learning interests or needs, such as "What interesting knowledge would you like to learn today?" It then presents several popular or seasonal topics for the user to choose from. Users can express their interests by clicking on an option or directly entering a keyword.

[0060] Upon receiving the user's selection, the system immediately analyzes and matches relevant knowledge content. Once the quick question-and-answer interaction is complete, the system automatically skips the normal browsing process and directly guides the user to the playback page for the first most appropriate encyclopedia knowledge point under the selected topic, achieving a seamless transition from expressing interest to content consumption. This proactive guidance mechanism not only improves the efficiency of users accessing content of interest, but also enhances the interactivity and personalized experience between the system and the user.

[0061] The present invention is further described in detail below through specific application examples: The method for implementing an interactive encyclopedia based on artificial intelligence described in this specific application embodiment includes the following steps: S21. Knowledge framework construction: Based on the preset classification system (such as natural science, daily life, historical scrolls and other primary categories, as well as the secondary content under each category), build an encyclopedia knowledge framework and display it on the encyclopedia homepage in the form of book display and tab switching, such as Figure 2 As shown; and proceed to step S22; S22. Video resource processing: Use video understanding technologies such as DeepSeek / Doubao to understand and segment the parent-child education video content. Add 1-2 interactive sessions during the video playback. Each segment node corresponds to a knowledge point, and interactive questions are set for each node. Then proceed to step S23. like Figure 3The figure shows the default video playback status. The middle part shows the video playback area, and the lower part shows the artificial intelligence interface technology. You can try to ask some encyclopedia questions that the user is curious about by long pressing the button on the remote control.

[0062] S23, then enter the interactive phase, the interactive logic setting in the embodiment of the present invention includes: defining the interactive operation logic of the user when watching the video, including pause / resume playback, progress bar control, triggering and responding to mid-game interaction, etc.

[0063] like Figure 4 The figure shows a diagram of a mid-game interactive state - multiple-choice questions. Xiaowei's voice assistant displays a bubble asking the question: "Promotion XXXXXXXXXXX" and the answer options A, B, and C. After the user selects the answer, if the answer is correct, the interface will prompt congratulations. If the user answers incorrectly, the interface will remind them that they have answered incorrectly.

[0064] In a specific embodiment of the present invention, personalized user recommendations and rankings are also performed, specifically including the following steps: 1) User behavior data collection: Collect user behavior data when using AI Interactive Encyclopedia, such as viewing history, interactive answering status, search keywords, etc.

[0065] 2) User portrait construction: Based on the collected behavioral data, a user portrait is constructed, including dimensions such as the user's interest tags, knowledge level, and learning preferences.

[0066] 3) Personalized Ranking Algorithm: This algorithm combines user profiles and knowledge graphs to perform personalized ranking of encyclopedia videos. This algorithm considers factors such as video relevance, popularity, and historical user behavior preferences to ensure recommendations that align with user interests and guide users to explore new areas of knowledge.

[0067] In a specific embodiment of the present invention, active content guidance is also performed. The active content guidance is performed by asking users some preset questions and performing quick questions and answers. After the quick questions and answers are completed, the first encyclopedia knowledge point under the topic selected by the user is played, and the user can directly enter the playback page from the homepage. Figure 5 As shown, the specific implementation includes the following steps: S31, first entry, S32, Xiao Wei actively guided the group, "Welcome to the AI ​​Encyclopedia Adventure! Let's start with a few quick questions and answers." S33. Through card questions and answers, the background of the homepage is grayed out; for example, quick questions and answers: Question 1, let Xiaowei get to know you! How old are you? a. 3-6 years old; b. 6-13 years old; Question 2, which topic are you most curious about? Choose one and try it! a. Natural science; b. Humanities and social sciences; c. Daily life; d. Historical pictures; Question 3. The [xxx] exploration journey is about to begin, are you ready? a. Ready; b. Return and reselect. The first encyclopedia knowledge point under the topic selected by the user will be played; and enter S43; of course, the user can also click to close the quick question and answer pop-up window and return directly to the homepage; S41, if it is not the first entry, go to S42; S42. Xiaowei's voice guidance includes a welcome message (generated by the large model, refer to the following): 1. A general welcome message: "Good morning! Welcome to Encyclopedia Adventure! Let's start your learning journey today." 2. A reminder of user achievements: a. "Awesome! You've studied for XX consecutive days. Congratulations on unlocking the XXX medal! Check out the medal wall!" b. "You've studied for XX hours" c. "You've studied XX knowledge points." The user clicks to enter a level (knowledge point) and proceeds to S43. S43. Enter the encyclopedia details page to play the encyclopedia knowledge. When the encyclopedia knowledge is finished playing, the user clicks to return to the home page and enter S44 or S45.

[0068] S44, voice playback: "Look, this is our encyclopedia map! Come and explore it!" S45. Generally, after the user finishes viewing a knowledge point, no active guidance is set. If the user unlocks the corresponding medal after viewing a certain knowledge point, after the system finishes broadcasting, Xiaowei's voice will actively guide on the encyclopedia playback page: "Congratulations! You have unlocked the xxx medal! Go to the medal wall and take a look."

[0069] As can be seen from the above, the present invention adopts voice interaction, mixed text and image arrangement and question-answering special effects design, breaking through the traditional video one-way output mode and greatly providing convenience for users.

[0070] The present invention uses artificial intelligence technology to enhance the interactivity of parent-child education videos, improve learning effects, achieve personalized learning experience, and effectively improve children's learning interest and knowledge absorption efficiency.

[0071] Exemplary devices like Figure 6 As shown, an embodiment of the present invention provides an interactive encyclopedia implementation device based on artificial intelligence, the device comprising: The encyclopedic knowledge framework building module 310 is used to construct an encyclopedic knowledge framework in advance according to a preset classification system, collect and obtain corresponding parent-child education videos to access the encyclopedic knowledge framework, and set a preset homepage display method; This module is responsible for building the knowledge architecture of the entire interactive encyclopedia system. First, a multi-level knowledge framework structure is established based on a pre-set classification system designed by a team of education experts. This classification system includes primary categories such as natural sciences, daily life, and historical scrolls, as well as secondary content within each category. For example, under natural sciences, there are subcategories such as the animal world, the plant kingdom, and geographical wonders; under daily life, there are subcategories such as health and sports, safety common sense, and environmental knowledge; and under historical scrolls, there are subcategories such as ancient civilizations, major inventions, and historical figures.

[0072] This module collects high-quality parenting education video resources through various channels, including collaborating with professional educational institutions to obtain authorized content, commissioning professional teams to produce original educational videos, and integrating high-quality public education resources. The collected videos undergo content review, quality assessment, and classification tagging to ensure their educational value and age-appropriateness. These video resources are then integrated into the corresponding encyclopedia knowledge framework categories.

[0073] This module also designed and implemented the encyclopedia system's homepage display. Using a visual design that features book displays and tab switching, the knowledge content is presented as beautiful books on a virtual bookshelf. Users can browse different "knowledge books" by swiping left or right. A category bar is located at the top of the page; clicking on a different tab switches the display to the corresponding category. Each "knowledge book" features a cover design that matches the content's theme and displays a brief description and an age-appropriate indicator.

[0074] An artificial intelligence video understanding module 320 is used to connect the artificial intelligence video understanding interface to the encyclopedia knowledge framework to understand and segment the parent-child education video content; This module integrates advanced AI video understanding technology interfaces, providing intelligent video content analysis capabilities for the Hudong Baike system. When a video is loaded into the system, the module automatically performs the following functions: video content analysis (identifying key scenes, important objects, and core concepts within the video); speech recognition and transcription (converting audio content within the video to text to support subsequent text analysis); semantic understanding (understanding the themes, sentiment, and key insights within the video); and video segmentation (dividing the video into multiple, relatively independent sections based on content logic).

[0075] For each video segment, the module generates concise and clear text descriptions to help users better understand the video content. It also extracts keywords and core concepts from each segment to build a knowledge point index, providing a foundation for subsequent interactive questions. The module also analyzes video content attributes such as difficulty level, age group suitability, and knowledge domain, providing data support for personalized recommendations and content screening.

[0076] In this way, the artificial intelligence video understanding module not only improves the user's viewing experience, but also provides an intelligent content management and interactive design foundation for the interactive encyclopedia system.

[0077] The video interaction control module 330 is used to receive user operation instructions to play the corresponding parent-child education video, add predetermined mid-game interaction links to the parent-child education video through the accessed artificial intelligence video understanding interface, control each segment node to correspond to a knowledge point, and display interactive questions for each node; This module is responsible for processing user video playback requests and implementing intelligent interactive control during video playback. When a user selects a specific parenting education video through a click, voice command, or other interactive method, the module responds to the user's operation instruction, loads the selected video, and starts playing it.

[0078] During video playback, this module works closely with the AI ​​video understanding module to analyze multi-dimensional information in real time, including scene changes, character movements, and voice content. Based on pre-set interaction strategies and real-time analysis results, the video automatically pauses at key moments and inserts carefully designed interactive segments.

[0079] This module intelligently divides the video content into logical sections, each focusing on a specific knowledge point. After each knowledge point is explained, interactive questions closely related to that knowledge point are displayed. These questions are carefully designed to test the user's understanding of the knowledge and guide them to deeper thinking.

[0080] Interactive questions come in a variety of formats, including multiple-choice, true-or-false, connection-based, and fill-in-the-blank questions, tailored to the cognitive abilities and learning characteristics of users of different age groups. The difficulty of the questions is dynamically adjusted based on the user's age group and historical learning performance, ensuring the interactive experience is challenging but not overly difficult.

[0081] In this way, the video interaction control module transforms passive video viewing into an active learning experience, effectively improving user engagement and knowledge absorption.

[0082] Feedback processing module 340, for receiving user feedback on interactive questions and providing corresponding prompts on whether the feedback is correct or not; This module is responsible for processing user responses to interactive questions and providing immediate feedback and evaluation. When the system displays interactive questions during video playback, users can submit their answers through various methods, including clicking on options, dragging and dropping to match, answering by voice, or entering handwriting. The module receives this feedback in real time and compares it with a preset correct answer or range of answers.

[0083] For multiple-choice questions, the module directly compares the user's selected option with the correct answer. For open-ended questions, the module uses natural language processing technology to analyze the semantic content of the user's response to determine whether it aligns with the key points of the answer. The verification process considers multiple possible correct expressions and allows for a certain degree of variability.

[0084] When the user answers correctly, the module will immediately give positive visual and auditory feedback, such as displaying a green check mark, playing cheerful sound effects, showing encouraging animation effects, etc. At the same time, a brief praise message will be displayed to enhance the user's sense of achievement and learning confidence.

[0085] When a user answers incorrectly, the module will display a friendly reminder, such as a gentle red cross or a soft tone, to avoid frustration. Encouraging messages will be displayed, and appropriate guidance will be provided based on the type of error, helping the user think in the right direction. For more complex questions, explanations will be provided after multiple attempts to ensure the user understands the relevant knowledge points.

[0086] Regardless of the answer results, the module will record the user's answers as part of the user's learning performance, which will be used for subsequent personalized learning path adjustments and content recommendations.

[0087] The personalized recommendation module 350 is used to collect behavioral data of users in the process of using the encyclopedic knowledge framework, and to perform personalized sorting and content recommendation on the encyclopedic videos of the encyclopedic knowledge framework.

[0088] This module is responsible for collecting and analyzing user behavior data and providing personalized content recommendation services based on this data. The system comprehensively collects various types of user behavior data on the platform, including but not limited to: video viewing history (including video type, viewing duration, completion rate, number of repeat views, etc.); interactive answering (including answer accuracy, answer speed, common error types, etc.); search behavior (including search keywords, search frequency, click behavior, etc.); browsing behavior (including dwell time, click paths, favorite behavior, etc.); and time-dimensional data such as usage period and frequency.

[0089] Based on this multi-dimensional behavioral data, the module constructs a refined user profile model. This model includes a user's interest tagging system (e.g., interest in animals, astronomy, history, and other fields); knowledge level assessment (e.g., mastery of different knowledge areas); learning preference analysis (e.g., preference for visual or auditory learning, challenging or progressive content); and learning habits (e.g., optimal study time, duration of a single study session). User profiles are continuously updated and optimized as users continue to use the system to ensure their accuracy and timeliness.

[0090] This module combines user profiles with a pre-built knowledge graph, using a sophisticated recommendation algorithm to provide personalized ranking and recommendations for encyclopedia videos. This ranking algorithm considers a variety of factors: content relevance (how well it matches the user's current interests and learning progress); content popularity (trends in overall user preferences); user historical behavior preferences (based on past user interactions); knowledge expansion value (content that expands the user's knowledge base); and timeliness (newly released or seasonally relevant content).

[0091] The recommendation system employs a hybrid strategy, catering to users' existing interests while also introducing new content to avoid the "information cocoon" effect and encouraging users to explore diverse areas of knowledge. The system also dynamically adjusts the difficulty level of recommended content based on the user's learning progress and ability level, ensuring a challenging yet not overly difficult learning experience.

[0092] In addition, this module also implements the function of active content guidance, which obtains users' theme playback needs through quick questions and answers, and directly guides them to the playback page of the corresponding content based on the theme selected by the user, realizing a seamless connection from interest expression to content consumption.

[0093] Based on the above embodiment, the present invention also provides an intelligent terminal, whose principle block diagram can be shown as follows: Figure 7 As shown. The intelligent terminal includes a processor, a memory, a network interface, a display screen, and a database connected via a system bus. The processor of the intelligent terminal is used to provide computing and control capabilities. The memory of the intelligent terminal includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The network interface of the intelligent terminal is used to communicate with an external terminal via a network connection. When the computer program is executed by the processor, it implements an interactive encyclopedia implementation method based on artificial intelligence. The database of the intelligent terminal is used to store an interactive encyclopedia implementation program based on artificial intelligence.

[0094] Those skilled in the art will understand that Figure 7The principle block diagram shown in the figure is only a block diagram of a partial structure related to the solution of the present invention and does not constitute a limitation on the smart terminal to which the solution of the present invention is applied. The specific smart terminal may include more or fewer components than shown in the figure, or combine certain components, or have a different component arrangement.

[0095] In one embodiment, a smart terminal is provided, comprising a memory and one or more programs, wherein the one or more programs are stored in the memory and are configured to be executed by one or more processors. The one or more programs include instructions for performing the following operations: The method includes constructing an encyclopedic knowledge framework in advance according to a preset classification system, collecting and obtaining corresponding parent-child education videos to access the encyclopedic knowledge framework, and setting a preset homepage display method; connecting an artificial intelligence video understanding interface to the encyclopedic knowledge framework for content understanding and segmenting the parent-child education video; receiving user operation instructions to play the corresponding parent-child education video, adding a predetermined mid-game interactive link to the parent-child education video through the connected artificial intelligence video understanding interface, controlling each segment node to correspond to a knowledge point, and displaying interactive questions for each node; receiving user feedback information on the interactive questions, and providing corresponding correctness reminders for the feedback information; collecting user behavior data during the use of the encyclopedic knowledge framework, and performing personalized sorting and content recommendation for the encyclopedia videos of the encyclopedic knowledge framework.

[0096] The steps of constructing an encyclopedic knowledge framework in advance according to a preset classification system, collecting and obtaining corresponding parent-child education videos and accessing them to the encyclopedic knowledge framework, and setting a preset homepage display method include: constructing an encyclopedic knowledge framework in advance according to a preset classification system, wherein the preset classification system includes first-level classifications such as natural sciences, daily life, and historical scrolls, as well as second-level content under each classification; collecting and obtaining corresponding parent-child education videos and accessing them to corresponding classification items in the encyclopedic knowledge framework; and setting the preset homepage display method to display on the encyclopedia homepage in the form of book display and tag switching.

[0097] The step of connecting the artificial intelligence video understanding interface to the encyclopedic knowledge framework for content understanding and segmenting the parent-child education video includes: connecting the designated artificial intelligence video understanding technology interface to the encyclopedic knowledge framework for content understanding and segmenting each parent-child education video in the encyclopedic knowledge framework during playback, explaining each segment, and collecting keywords for each segment for subsequent generation of interactive questions.

[0098] The steps of receiving user operation instructions to play the corresponding parent-child education video, adding a predetermined intermission interactive link in the parent-child education video process through the connected artificial intelligence video understanding interface, controlling each segment node to correspond to a knowledge point, and displaying interactive questions for each node include: loading and playing a specific parent-child education video according to user instructions; using AI technology to analyze the content of the parent-child education video in real time, including scenes, voice, and actions; automatically inserting interactive content when the parent-child education video is played to a specified position, and the interactive content includes questions and mini-games; dividing the content of the parent-child education video into multiple paragraphs, each paragraph corresponding to a specific knowledge point; and displaying related questions after each knowledge point to promote understanding and thinking.

[0099] The steps of receiving user feedback information on interactive questions and reminding the user whether the feedback information is correct or not include: receiving the user's answer feedback information on the interactive questions selected for each knowledge point, and verifying the answer feedback information; when the verification is passed, reminding the user that the answer is correct; when the verification fails, reminding the user that the answer is incorrect.

[0100] The steps of collecting behavioral data of users during the use of the encyclopedic knowledge framework and performing personalized sorting and content recommendation on encyclopedia videos of the encyclopedic knowledge framework include: collecting behavioral data of users during the use of the encyclopedic knowledge framework, the behavioral data including viewing history, interactive answering status, and search keywords; constructing a user profile based on the collected behavioral data, including the user's interest tags, knowledge level, and learning preferences; combining the user profile and the knowledge graph to perform personalized sorting on the encyclopedia videos of the encyclopedic knowledge framework; the sorting algorithm comprehensively considers the relevance and popularity of the video and the user's historical behavioral preference factors to ensure that the recommendation results are in line with the user's interests and can guide the user to explore new areas of knowledge.

[0101] The steps of collecting the behavioral data of users in the process of using the encyclopedia knowledge framework and performing personalized sorting and content recommendation on the encyclopedia videos of the encyclopedia knowledge framework also include: actively guiding the content and obtaining the user's theme playback needs through a quick question and answer method; when the quick question and answer method is completed, the first encyclopedia knowledge point under the corresponding theme is played according to the theme selected by the user, and the user is controlled to directly enter the playback page from the homepage.

[0102] By combining artificial intelligence video understanding technology with the encyclopedia knowledge framework, the present invention breaks through the traditional one-way video output mode, realizes the deep adaptation of children's cognitive laws and AI interaction, and effectively improves children's learning participation and effect; through the large model to dynamically recommend related content, it establishes semantic connections between knowledge points, solves the defect of lack of scalability of isolated entries in traditional encyclopedias, and helps children build a complete knowledge system; based on the personalized recommendation mechanism of user behavior data and portrait analysis, the recommendation results are in line with the user's interests and can guide users to explore new areas of knowledge, meeting the personalized and diversified learning needs of children; through voice interaction, mixed text and picture layout and answering special effects design, it realizes an "interactive and updated" encyclopedia, which helps children explore knowledge in all aspects.

[0103] The present application further proposes a computer-readable storage medium, which, when the instructions in the storage medium are executed by a processor of an electronic device, enables the electronic device to execute an interactive encyclopedia implementation method based on artificial intelligence.

[0104] A computer-readable storage medium refers to a physical medium used to store program instructions, specifically a solid-state drive, mechanical hard drive, or cloud storage server. Its purpose is to persistently store the execution logic of the task allocation processing method, ensuring that the electronic device can repeatedly call the process. Instructions executed by a processor refer to the execution of a computing unit driven by compiled machine code, specifically a central processing unit or graphics processing unit.

[0105] Those skilled in the art will appreciate that all or part of the processes in the above-described method embodiments can be implemented by instructing the relevant hardware through a computer program. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the above-described method embodiments. Any reference to memory, storage, database, or other media used in the various embodiments provided herein may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct RAMbus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM).

[0106] The above description is merely an embodiment of the present application and is not intended to limit the scope of protection of the present application. For those skilled in the art, various modifications and variations of the present application are possible. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present application shall be included in the scope of protection of the present application.

Claims

1. A method for implementing an interactive encyclopedia based on artificial intelligence, characterized in that: include: Pre-build an encyclopedia knowledge framework based on a preset classification system, collect and obtain corresponding parent-child education videos and access them to the encyclopedia knowledge framework, and set a preset homepage display method; Connecting an artificial intelligence video understanding interface to the encyclopedia knowledge framework to understand and segment the parent-child education video content; Receive user operation instructions to play the corresponding parent-child education video, add a predetermined mid-game interactive link to the parent-child education video through the accessed artificial intelligence video understanding interface, control each segment node to correspond to a knowledge point, and display interactive questions for each node; Receive user feedback on interactive issues and provide corresponding reminders on whether the feedback is correct or not; Collect user behavior data when using the encyclopedia knowledge framework, and perform personalized sorting and content recommendation on the encyclopedia videos of the encyclopedia knowledge framework.

2. The method for implementing an interactive encyclopedia based on artificial intelligence according to claim 1, characterized in that: The steps of collecting user behavior data during use of the encyclopedic knowledge framework and performing personalized sorting and content recommendation on encyclopedic videos in the encyclopedic knowledge framework include: Collecting user behavior data during the use of the encyclopedia knowledge framework, including viewing history, interactive answering status, and search keywords; Build user profiles based on collected behavioral data, including user interest tags, knowledge level, and learning preferences; Combining user portraits and knowledge graphs, encyclopedia videos of the encyclopedia knowledge framework are personalized sorted; the sorting algorithm comprehensively considers the relevance and popularity of the videos as well as the user's historical behavior preferences to ensure that the recommendation results are in line with the user's interests and can guide the user to explore new areas of knowledge.

3. The method for implementing an interactive encyclopedia based on artificial intelligence according to claim 1, characterized in that: The steps of constructing an encyclopedic knowledge framework according to a preset classification system, collecting and acquiring corresponding parent-child education videos and accessing the encyclopedic knowledge framework, and setting a preset homepage display method include: Constructing an encyclopedia knowledge framework in advance based on a preset classification system; wherein the preset classification system includes: first-level classifications such as natural sciences, daily life, and historical scrolls, as well as second-level content under each classification; Collect and obtain corresponding parent-child education videos and access them into corresponding classification items in the encyclopedia knowledge framework; Set the default homepage display mode to display on the encyclopedia homepage in the form of book display and tag switching.

4. The method for implementing an interactive encyclopedia based on artificial intelligence according to claim 1, characterized in that: The step of connecting the artificial intelligence video understanding interface to the encyclopedic knowledge framework for content understanding and segmenting the parent-child education video includes: The video understanding technology interface of the designated artificial intelligence is connected to the encyclopedic knowledge framework to understand and segment the content of each parent-child education video in the encyclopedic knowledge framework during playback, explain each segment, and collect keywords from each segment for subsequent generation of interactive questions.

5. The method for implementing an interactive encyclopedia based on artificial intelligence according to claim 1, characterized in that: The steps of receiving a user operation instruction to play a corresponding parent-child education video, adding a predetermined mid-game interactive link to the parent-child education video through the accessed artificial intelligence video understanding interface, controlling each segment node to correspond to a knowledge point, and displaying interactive questions for each node include: Load and play specific parent-child education videos according to user instructions; Utilize AI technology to analyze the content of the parent-child education video in real time, including scenes, voice, and actions; When the parent-child education video plays to a specified position, interactive content is automatically inserted, and the interactive content includes questions and mini-games; The content of the parent-child education video is divided into multiple paragraphs, each paragraph corresponding to a specific knowledge point; and after each knowledge point, related questions are displayed to promote understanding and thinking.

6. The method for implementing an interactive encyclopedia based on artificial intelligence according to claim 1, characterized in that: The step of receiving user feedback information on interactive questions and providing corresponding prompts on whether the feedback information is correct or not includes: For each knowledge point question, receive the user's answer feedback information on the interactive question selection and verify the answer feedback information; When the verification is passed, a reminder will be given that the answer is correct; When verification fails, a reminder will be given that the answer is incorrect.

7. The method for implementing an interactive encyclopedia based on artificial intelligence according to claim 1, characterized in that: The step of collecting user behavior data during the use of the encyclopedic knowledge framework and performing personalized sorting and content recommendation on the encyclopedic videos of the encyclopedic knowledge framework further includes: Actively guide content and obtain users' theme playback needs through quick questions and answers; When the quick question and answer session is over, the first encyclopedia knowledge point under the corresponding topic is played according to the topic selected by the user, and the control goes directly to the playback page from the homepage.

8. An interactive encyclopedia implementation device based on artificial intelligence, characterized in that: The device comprises: The encyclopedia knowledge framework building module is used to construct the encyclopedia knowledge framework in advance according to the preset classification system, collect and obtain the corresponding parent-child education videos to access the encyclopedia knowledge framework, and set the preset homepage display method; Connecting an artificial intelligence video understanding interface to the encyclopedia knowledge framework to understand and segment the parent-child education video content; Receive user operation instructions to play the corresponding parent-child education video, add a predetermined mid-game interactive link to the parent-child education video through the accessed artificial intelligence video understanding interface, control each segment node to correspond to a knowledge point, and display interactive questions for each node; Receive user feedback on interactive issues and provide corresponding reminders on whether the feedback is correct or not; Collect user behavior data when using the encyclopedia knowledge framework, and perform personalized sorting and content recommendation on the encyclopedia videos of the encyclopedia knowledge framework.

9. An intelligent terminal, characterized in that: The device comprises a memory and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by one or more processors, and the one or more programs include being used to execute the method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that When the instructions in the storage medium are executed by a processor of an electronic device, the electronic device is enabled to execute the method according to any one of claims 1 to 7.

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