Method for realizing architecture through double-row waterfall flow layout based on greedy strategy idea

Abstract

The invention belongs to the technical field of front-end development, and discloses a double-row waterfall flow layout architecture implementation method based on a greedy strategy idea. The implementation architecture method comprises the following specific steps: S1, defining data request parameters and initializing; S2, sending a first data request; S3, rendering home page data; S4, monitoring a rolling event; according to the method, the complex problem of searching for the global optimal arrangement is ingeniously decomposed into optimal position selection of elements one by one, each sub-problem is gradually optimized through a greedy algorithm, the optimization of the overall layout is achieved, a paging acquisition and advance loading strategy is introduced for the problems of smoothness and data loading efficiency during rolling loading, and the method has the advantages that the overall layout is optimized, and the data loading efficiency is improved. Delay and repetition of data loading are effectively reduced, and it is ensured that a user can enjoy seamless and smooth immersive experience during rolling browsing.

Description

Technical Field

[0001] The present invention belongs to the technical field of front-end development, and specifically is a method for realizing an architecture of a double-column waterfall flow layout based on a greedy strategy idea. Background Art

[0002] Waterfall flow, also known as waterfall layout, is a popular web page layout method on the Internet. Its English name is: Masonry Layouts. Different from the common paging display effect, this layout is visually presented as a jagged multi-column layout. In recent years, waterfall flow layout has been used more and more widely, especially on mobile terminals. Its unique layout method is currently a better method in terms of user psychology, display beauty, and user experience. When constructing waterfall flow layout, the existing technology, if it simply relies on the element index to be assigned to the left and right columns, is likely to lead to an unbalanced layout, with significant height differences between the left and right columns, affecting the visual experience. At the same time, the smoothness of scrolling loading and data deduplication are also key challenges to achieving immersive browsing. At present, although FlexBox has become the mainstream choice with its good compatibility and ease of use, it is difficult to perfectly solve the height balance and smooth loading of waterfall flow when used alone. Summary of the invention

[0003] The purpose of the present invention is to provide a method for realizing a double-column waterfall flow layout architecture based on a greedy strategy idea, so as to solve the problems raised in the above-mentioned background technology.

[0004] In order to achieve the above-mentioned purpose, the present invention provides the following technical solution: a method for realizing an architecture of a double-column waterfall flow layout based on the greedy strategy idea, and the specific steps of the method for realizing the architecture are as follows:

[0005] S1: Define data request parameters and initialization: Paging parameters: 20 items per page, initial page number 1, initialize two columns of waterfall flow containers, and preset the bottom safety distance to 50px;

[0006] S2: Send the first data request: Send the request to obtain data by page number and quantity; after parsing and processing, prepare for display;

[0007] S3: Rendering home page data: Greedily sorting data items, inserting two columns one by one, and rendering to the page;

[0008] S4: Listen for scroll events: add scroll listener to calculate the distance from the scroll position to the bottom in real time;

[0009] S5: Determine and execute advance loading: scrolling close to the bottom triggers loading, incrementing the page number to request new data, and temporarily storing it without displaying it immediately;

[0010] S6: Render new data when scrolling to the bottom: After scrolling to the bottom, check the temporary storage, greedily insert the shorter column, and render and update the layout;

[0011] S7: Optimization and exception handling: Use lazy loading and virtual scrolling to optimize performance; provide friendly prompts and retries when handling errors; dynamically adjust parameters to optimize experience and reduce stress.

[0012] Preferably, the specific steps of defining data request parameters and initialization in S1 are as follows:

[0013] Step 1: Set paging parameters: define the amount of data displayed per page as 20, and initialize the current page number to 1, which is used to identify the data range to be obtained in subsequent paging requests;

[0014] Step 2: Initialize the waterfall flow container: In the HTML structure of the front-end page, create two parallel containers (columns), each container is used to display a column of data items in the waterfall flow layout;

[0015] Step 3: Set a safe distance: Based on the page design and user browsing habits, preset a safe distance value close to the bottom of the page to trigger the logic of early data loading to improve the user experience.

[0016] Preferably, sending the first data request in S2 refers to sending a data request to the server according to the current page number and the preset amount of data per page. After the server responds, the front end receives the data and performs necessary parsing, such as JSON format conversion, and processes the data to comply with the front-end display logic. After the processing is completed, the data items are prepared so that they can be displayed one by one in the two containers on the front-end page in a waterfall layout, thereby improving user experience and data loading efficiency.

[0017] Preferably, rendering the home page data in S3 means that after obtaining the home page data, the system starts to traverse these data items. For each data item, according to the greedy strategy, that is, comparing the total height of the current two-column waterfall flow containers, the system chooses to insert the current data item into the column with the smaller total height. Through continuous traversal and insertion, it is ensured that each data item is placed in the optimal column to achieve a balanced and beautiful overall layout. After completing the insertion of all data items, the system renders these data items onto the page to form a double-column waterfall flow layout.

[0018] Preferably, listening to scroll events in S4 refers to adding a scroll event listener to the container of the waterfall flow layout and its parent container. The listener will respond to the user's scrolling operation in real time, and dynamically monitor the user's browsing progress by calculating the distance between the current scroll bar position and the bottom of the page. Once this distance is less than the preset safety distance value, the listener will trigger the corresponding logic, such as loading the data of the next page in advance, to ensure that the user can continue browsing seamlessly when scrolling to the bottom of the page, thereby improving the overall user experience.

[0019] Preferably, the specific steps of determining and executing the advance loading in S5 are as follows:

[0020] Step 1: Scroll listener and trigger loading: Set a scroll event listener on the waterfall container or its parent container. When it is detected that the user's scroll position is less than the preset safety distance from the bottom of the page, trigger the early loading logic;

[0021] Step 2: Increment the page number and send a request: After the loading logic is triggered, first increment the value of the current page number to identify which page of data needs to be loaded, and then send a new data request to the server based on the incremented page number and the amount of data per page;

[0022] Step 3: Temporarily store new data: When receiving new data returned by the server, first perform necessary parsing and processing on the data to meet the requirements of the front-end display. However, in this step, the new data is not immediately rendered on the page. Instead, it will be temporarily stored and wait for the right time to be rendered.

[0023] Preferably, the specific steps of rendering new data when scrolling to the bottom in S6 are as follows:

[0024] Step 1: Check temporarily stored data: When the user scrolls to the bottom of the page and cannot scroll down any further, the system first checks whether there is any temporarily stored new data;

[0025] Step 2: Greedy strategy to insert data: If new data is found, the system will traverse these data items. For each data item, the system will determine its insertion position according to the greedy strategy;

[0026] Step 3: Render new data and update the layout: After determining the insertion position of each new data item, the system will render them onto the page, which usually involves DOM operations such as creating new element nodes, setting their styles and attributes, and inserting them into the corresponding waterfall flow container.

[0027] Preferably, the specific steps of optimization and exception handling in S7 are as follows:

[0028] Step 1: Implement performance optimization technology: Use lazy loading image technology to load images only when the user scrolls to the location of the image, reducing the initial loading time and bandwidth consumption. Secondly, introduce a virtual scrolling mechanism to simulate a complete scrolling list effect by rendering data items in the visible area and dynamically adjusting the scroll bar position, greatly reducing the number of DOM elements created and rendered, and improving page performance;

[0029] Step 2: Build a robust error handling mechanism: During the network request phase, add error handling logic to capture request failures and display friendly prompts in the user interface to inform users of errors. At the same time, provide a retry mechanism to allow users to re-initiate requests after confirmation. If the data format is incorrect, it will be detected during parsing and a prompt will be given to roll back to the last stable state to ensure the consistency of the user experience.

[0030] Step 3: Implement dynamic parameter adjustment strategy: Analyze user habits based on user behaviors (such as scrolling speed and dwell time), as well as data characteristics (such as data item size and loading speed) and server performance (such as response time and load conditions), and dynamically adjust the amount of data loaded per page. In addition, dynamically adjust the safety distance based on the user's scrolling depth to ensure that data loading is triggered at the right time, which not only meets user needs but also reduces server pressure.

[0031] Step 4: Continuous monitoring and optimization: After implementing the above steps, continuously track page performance, loading speed, user behavior and other indicators through monitoring tools, collect user feedback, and continuously adjust and optimize lazy loading, virtual scrolling, error handling and dynamic adjustment strategies based on monitoring data and user feedback to ensure that the system always maintains the best state and provides users with a smooth and efficient experience.

[0032] The beneficial effects of the present invention are as follows:

[0033] 1. The present invention cleverly decomposes the complex problem of finding the best global arrangement into the selection of the best position for each element, and gradually optimizes each sub-problem through a greedy algorithm to achieve the optimization of the overall layout. In order to solve the problems of smoothness and data loading efficiency during scrolling loading, the present invention introduces paging acquisition and advance loading strategies, which effectively reduces the delay and repetition of data loading, ensuring that users can enjoy a seamless, smooth and immersive experience when scrolling. This layout method not only retains the unique staggered beauty of the double-column waterfall flow, greatly enhances the visual appeal of the page, but also effectively promotes the improvement of user stickiness and the increase of conversion rate by enhancing the user's sense of participation and desire to explore. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the overall process of the present invention. DETAILED DESCRIPTION

[0035] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0036] like Figure 1 As shown, the embodiment of the present invention provides a method for implementing a double-column waterfall flow layout architecture based on the greedy strategy idea. The specific steps of the method for implementing the architecture are as follows:

[0037] S1: Define data request parameters and initialization: Paging parameters: 20 items per page, initial page number 1. Initialize two columns of waterfall flow containers, and preset the bottom safety distance to 50px;

[0038] S2: Send the first data request: Send the request to obtain data by page number and quantity; after parsing and processing, prepare for display;

[0039] S3: Rendering home page data: Greedily sorting data items, inserting two columns one by one, and rendering to the page;

[0040] S4: Listen for scroll events: add scroll listener to calculate the distance from the scroll position to the bottom in real time;

[0041] S5: Determine and execute advance loading: scrolling close to the bottom triggers loading, incrementing the page number to request new data, and temporarily storing it without displaying it immediately;

[0042] S6: Render new data when scrolling to the bottom: After scrolling to the bottom, check the temporary storage, greedily insert the shorter column, and render and update the layout;

[0043] S7: Optimization and exception handling: Use lazy loading and virtual scrolling to optimize performance; provide friendly prompts and retries when handling errors; dynamically adjust parameters to optimize experience and reduce stress.

[0044] The specific steps of defining data request parameters and initialization in S1 are as follows:

[0045] Step 1: Set paging parameters: define the amount of data displayed per page as 20, and initialize the current page number to 1, which is used to identify the data range to be obtained in subsequent paging requests;

[0046] Step 2: Initialize the waterfall flow container: In the HTML structure of the front-end page, create two parallel containers (columns), each container is used to display a column of data items in the waterfall flow layout;

[0047] Step 3: Set a safe distance: Based on the page design and user browsing habits, preset a safe distance value close to the bottom of the page (such as 50 pixels) to trigger the logic of early data loading to improve the user experience.

[0048] Clarifying paging parameters, initializing waterfall containers, and setting safe distances provide a solid foundation for building an efficient waterfall layout. Paging parameters ensure the accuracy of data requests and avoid performance issues caused by loading too much data at one time. The double-column container layout improves page space utilization and makes content display more orderly. The setting of safe distances optimizes the user experience, reduces user waiting time by loading data in advance, and improves the fluency and continuity of page browsing. These measures work together to achieve a waterfall layout, bringing users a more efficient and comfortable browsing experience.

[0049] Among them, sending the first data request in S2 refers to sending a data request to the server according to the current page number and the preset amount of data per page. After the server responds, the front end receives the data and performs necessary parsing, such as JSON format conversion, and processes the data to comply with the front-end display logic. After the processing is completed, the data items are prepared so that they can be displayed one by one in the two containers on the front-end page in a waterfall flow layout, thereby improving user experience and data loading efficiency.

[0050] Sending the first data request and processing it efficiently lays a solid foundation for the waterfall layout. By precisely controlling the page number and data volume, the accuracy and efficiency of the data request are ensured. After the server responds, the front end quickly parses and processes the data to make it conform to the display logic, making full preparations for the display of data items one by one. This process not only improves the user experience, allowing users to quickly see the required content, but also significantly improves the efficiency of data loading, reduces waiting time, and enhances the responsiveness and fluency of the page.

[0051] The rendering of the home page data in S3 means that after obtaining the home page data, the system starts to traverse these data items. For each data item, according to the greedy strategy, that is, comparing the total height of the current two-column waterfall flow container, the current data item is selected to be inserted into the column with the smaller total height. In this way, through continuous traversal and insertion, it is ensured that each data item is placed in the optimal column to achieve a balanced and beautiful overall layout. After completing the insertion of all data items, the system renders these data items on the page to form a double-column waterfall flow layout.

[0052] The greedy strategy for rendering the home page data is used to layout the waterfall flow, which brings significant visual and experience advantages. By intelligently comparing the heights of each column, the data items are evenly distributed, avoiding confusion and monotony in the layout. This layout method not only improves the aesthetics of the page, but also enhances the readability of the content, allowing users to quickly locate and browse information. At the same time, the automated rendering process reduces manual intervention, improves the efficiency and accuracy of data display, and brings users a smoother and more comfortable browsing experience.

[0053] Among them, listening to scroll events in S4 refers to adding a scroll event listener to the container of the waterfall flow layout and its parent container. The listener will respond to the user's scrolling operation in real time, and dynamically monitor the user's browsing progress by calculating the distance between the current scroll bar position and the bottom of the page. Once this distance is less than the preset safety distance value, the listener will trigger the corresponding logic, such as loading the data of the next page in advance to ensure that the user can continue browsing seamlessly when scrolling to the bottom of the page, thereby improving the overall user experience.

[0054] Listening to scroll events and dynamically loading data has significantly improved the user experience. By tracking the user's scrolling progress in real time and loading the next page of data in advance, the user's waiting time when scrolling to the bottom is effectively avoided, and the smoothness and continuity of the page are enhanced. At the same time, this mechanism ensures the instantaneous loading of data, allowing users to continue browsing seamlessly without manually turning pages, greatly improving browsing efficiency and satisfaction. This intelligent data loading method not only optimizes the user experience, but also demonstrates the efficiency and intelligence level of the application.

[0055] The specific steps of determining and executing the advance loading in S5 are as follows:

[0056] Step 1: Scroll monitoring and trigger loading: Set a scroll event listener on the waterfall flow container or its parent container. When it is detected that the user's scrolling position is less than the preset safety distance from the bottom of the page, trigger the early loading logic; this step ensures that data is loaded before the user reaches the bottom of the page, thereby avoiding the user waiting for data loading.

[0057] Step 2: Increment the page number and send a request: After the loading logic is triggered, first increment the value of the current page number to identify which page of data needs to be loaded. Then, based on the incremented page number and the amount of data per page, send a new data request to the server; this step ensures that the server can accurately return the data required by the user.

[0058] Step 3: Temporarily store new data: When receiving new data returned by the server, the data is first parsed and processed as necessary to meet the requirements of the front-end display. However, in this step, the new data is not immediately rendered on the page. Instead, they are temporarily stored and rendered when the time is right (such as when the user continues to scroll and reaches the bottom of the current data). The advantage of this is that it can avoid interfering with the page currently browsed by the user during the data loading process, and it also provides a flexible processing method for subsequent scrolling loading or paging display.

[0059] By triggering loading at a preset safe distance, user waiting time is significantly reduced and the immediacy of data acquisition is improved. Secondly, increasing the page number and accurately requesting data ensures data accuracy and efficient server response. Finally, temporarily storing new data instead of rendering it immediately avoids frequent changes in page layout and provides greater flexibility for subsequent data processing and rendering. These benefits work together to significantly improve user experience and enhance the fluency and responsiveness of the application.

[0060] The specific steps of rendering new data when scrolling to the bottom in S6 are as follows:

[0061] Step 1: Checking temporarily stored data: When the user scrolls to the bottom of the page and cannot scroll down any further, the system first checks whether there is any temporarily stored new data. This is because in the previous step, the system may have pre-loaded the data for the next page when the user is close to the bottom of the page, but it was not immediately rendered on the page. By checking the temporarily stored data, the system can determine whether it needs to be further processed to display it to the user.

[0062] Step 2: Greedy strategy to insert data: If new data is found to be temporarily stored, the system will then traverse these data items. For each data item, the system will determine its insertion position based on the greedy strategy (i.e., comparing the current total height of the two columns of waterfall flow containers). Specifically, the system will select the column with the smaller current total height and insert the data item at the end of that column. In this way, through continuous traversal and insertion, the system can ensure that the new data items are filled into the waterfall flow layout in the best way, thereby maintaining the balance and beauty of the layout.

[0063] Step 3: Render new data and update layout: After determining the insertion position of each new data item, the system renders them to the page, which usually involves DOM operations such as creating new element nodes, setting their styles and attributes, and inserting them into the corresponding waterfall flow container. After rendering, the system also needs to update the waterfall flow layout to ensure that all elements are arranged and displayed as expected. This may include recalculating the height of the column, adjusting the spacing of the elements, or performing other necessary layout adjustment operations.

[0064] Implementing the strategy of scrolling to the bottom to render new data significantly improves the user browsing experience and page loading efficiency. By temporarily storing data and inserting it with a greedy strategy, the timeliness of data and the balanced and beautiful layout are guaranteed. When the user scrolls to the bottom, new data is presented immediately without waiting, which enhances the sense of fluency. At the same time, intelligent layout adjustment avoids the clutter of the page and maintains a good visual effect. This strategy not only improves user satisfaction, but also enhances the attractiveness of the website or application.

[0065] The specific steps of optimization and exception handling in S7 are as follows:

[0066] Step 1: Implement performance optimization techniques: First, use lazy loading image technology to load images only when the user scrolls to the location of the image, so as to reduce the initial loading time and bandwidth consumption. Secondly, introduce a virtual scrolling mechanism to simulate a complete scrolling list effect by rendering data items in the visible area and dynamically adjusting the scroll bar position, thereby greatly reducing the number of DOM elements created and rendered, and improving page performance.

[0067] Step 2: Build a robust error handling mechanism: During the network request phase, add error handling logic to capture request failures and display friendly prompts in the user interface to inform users that an error has occurred. At the same time, provide a retry mechanism to allow users to re-initiate requests after confirmation. If the data format is incorrect, it will be detected during parsing and a prompt will be given. If possible, it will roll back to the last stable state to ensure the consistency of the user experience.

[0068] Step 3: Implement dynamic parameter adjustment strategy: Analyze user habits based on user behavior (such as scrolling speed, dwell time), as well as data characteristics (such as data item size, loading speed) and server performance (such as response time, load conditions), and dynamically adjust the amount of data loaded per page. In addition, the safety distance can be dynamically adjusted based on the user's scrolling depth to ensure that data loading is triggered at the right time, which not only meets user needs but also reduces server pressure.

[0069] Step 4: Continuous monitoring and optimization: After implementing the above steps, continuously track page performance, loading speed, user behavior and other indicators through monitoring tools, collect user feedback, and continuously adjust and optimize lazy loading, virtual scrolling, error handling and dynamic adjustment strategies based on monitoring data and user feedback to ensure that the system always maintains the best state and provides users with a smooth and efficient experience.

[0070] Implementing the above performance optimization, error handling, dynamic adjustment and continuous monitoring strategies can significantly improve user experience and system performance. Lazy loading and virtual scrolling technologies effectively reduce initial loading time and bandwidth consumption, and speed up page response. Robust error handling mechanisms ensure that users can get timely and friendly feedback when facing problems, and have the opportunity to retry or rollback, which enhances system stability and user satisfaction. Dynamic parameter adjustment strategies are flexibly adjusted according to real-time conditions, balancing user experience and server load, and improving overall efficiency. Continuous monitoring and optimization ensure that the system can continuously adapt to changes, maintain the best state, and provide users with a smoother and more efficient interactive experience. Together, these measures have significantly improved the competitiveness of the system and user stickiness.

[0071] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0072] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for implementing a double-column waterfall layout architecture based on a greedy strategy idea, characterized in that: The specific steps of this implementation architecture method are as follows: S1: Define data request parameters and initialization: Paging parameters: 20 items per page, initial page number 1, initialize two columns of waterfall flow containers, and preset the bottom safety distance to 50px; S2: Send the first data request: Send the request to obtain data by page number and quantity; after parsing and processing, prepare for display; S3: Rendering home page data: Greedily sorting data items, inserting two columns one by one, and rendering to the page; S4: Listen for scroll events: add scroll listener to calculate the distance from the scroll position to the bottom in real time; S5: Determine and execute advance loading: scrolling close to the bottom triggers loading, incrementing the page number to request new data, and temporarily storing it without displaying it immediately; S6: Render new data when scrolling to the bottom: After scrolling to the bottom, check the temporary storage, greedily insert the shorter column, and render and update the layout; S7: Optimization and exception handling: Use lazy loading and virtual scrolling to optimize performance; provide friendly prompts and retries when handling errors; dynamically adjust parameters to optimize experience and reduce stress.

2. According to claim 1, a method for realizing a double-column waterfall flow layout architecture based on the greedy strategy idea is characterized in that: The specific steps of defining data request parameters and initialization in S1 are as follows: Step 1: Set paging parameters: define the amount of data displayed per page as 20, and initialize the current page number to 1, which is used to identify the data range to be obtained in subsequent paging requests; Step 2: Initialize the waterfall flow container: In the HTML structure of the front-end page, create two parallel containers (columns), each container is used to display a column of data items in the waterfall flow layout; Step 3: Set a safe distance: Based on the page design and user browsing habits, preset a safe distance value close to the bottom of the page to trigger the logic of early data loading to improve the user experience.

3. The method for realizing a double-column waterfall flow layout architecture based on a greedy strategy idea according to claim 1, characterized in that: Sending the first data request in S2 refers to sending a data request to the server based on the current page number and the preset amount of data per page. After the server responds, the front end receives the data and performs necessary parsing, such as JSON format conversion, and processes the data to comply with the front-end display logic. After the processing is completed, the data items are prepared so that they can be displayed one by one in the two containers on the front-end page in a waterfall layout, thereby improving user experience and data loading efficiency.

4. The method for realizing a double-column waterfall layout architecture based on a greedy strategy idea according to claim 1, characterized in that: Rendering the home page data in S3 means that after obtaining the home page data, the system starts to traverse these data items. For each data item, according to the greedy strategy, that is, comparing the total height of the current two-column waterfall flow containers, the system chooses to insert the current data item into the column with the smaller total height. Through continuous traversal and insertion, it is ensured that each data item is placed in the optimal column to achieve a balanced and beautiful overall layout. After completing the insertion of all data items, the system renders these data items onto the page to form a double-column waterfall flow layout.

5. The method for realizing a double-column waterfall layout architecture based on a greedy strategy idea according to claim 1, characterized in that: Listening to scroll events in S4 refers to adding a scroll event listener to the container of the waterfall flow layout and its parent container. The listener will respond to the user's scrolling operation in real time and dynamically monitor the user's browsing progress by calculating the distance between the current scroll bar position and the bottom of the page. Once this distance is less than the preset safety distance value, the listener will trigger the corresponding logic, such as loading the data of the next page in advance to ensure that the user can continue browsing seamlessly when scrolling to the bottom of the page, thereby improving the overall user experience.

6. The method for realizing a double-column waterfall layout architecture based on a greedy strategy idea according to claim 1, characterized in that: The specific steps of determining and executing the advance loading in S5 are as follows: Step 1: Scroll listener and trigger loading: Set a scroll event listener on the waterfall container or its parent container. When it is detected that the user's scroll position is less than the preset safety distance from the bottom of the page, trigger the early loading logic; Step 2: Increment the page number and send a request: After the loading logic is triggered, first increment the value of the current page number to identify which page of data needs to be loaded, and then send a new data request to the server based on the incremented page number and the amount of data per page; Step 3: Temporarily store new data: When receiving new data returned by the server, first perform necessary parsing and processing on the data to meet the requirements of the front-end display. However, in this step, the new data is not immediately rendered on the page. Instead, it will be temporarily stored and wait for the right time to be rendered.

7. The method for realizing a double-column waterfall layout architecture based on a greedy strategy concept according to claim 1, characterized in that: The specific steps for rendering new data when scrolling to the bottom in S6 are as follows: Step 1: Check temporarily stored data: When the user scrolls to the bottom of the page and cannot scroll down any further, the system first checks whether there is any temporarily stored new data; Step 2: Greedy strategy to insert data: If new data is found, the system will traverse these data items. For each data item, the system will determine its insertion position according to the greedy strategy; Step 3: Render new data and update the layout: After determining the insertion position of each new data item, the system will render them onto the page, which usually involves DOM operations such as creating new element nodes, setting their styles and attributes, and inserting them into the corresponding waterfall flow container.

8. The method for realizing a double-column waterfall layout architecture based on a greedy strategy concept according to claim 1, characterized in that: The specific steps of optimization and exception handling in S7 are as follows: Step 1: Implement performance optimization technology: Use lazy loading image technology to load images only when the user scrolls to the location of the image, reducing the initial loading time and bandwidth consumption. Secondly, introduce a virtual scrolling mechanism to simulate a complete scrolling list effect by rendering data items in the visible area and dynamically adjusting the scroll bar position, greatly reducing the number of DOM elements created and rendered, and improving page performance; Step 2: Build a robust error handling mechanism: During the network request phase, add error handling logic to capture request failures and display friendly prompts in the user interface to inform users of errors. At the same time, provide a retry mechanism to allow users to re-initiate requests after confirmation. If the data format is incorrect, it will be detected during parsing and a prompt will be given to roll back to the last stable state to ensure the consistency of the user experience. Step 3: Implement dynamic parameter adjustment strategy: Analyze user usage habits, data characteristics and server performance according to user behavior, and dynamically adjust the amount of data loaded on each page. In addition, dynamically adjust the safety distance according to the user's scrolling depth to ensure that data loading is triggered at the right time, which not only meets user needs but also reduces server pressure; Step 4: Continuous monitoring and optimization: After implementing the above steps, continuously track page performance, loading speed, and user behavior indicators through monitoring tools, collect user feedback, and continuously adjust and optimize lazy loading, virtual scrolling, error handling, and dynamic adjustment strategies based on monitoring data and user feedback to ensure that the system always maintains the best state and provides users with a smooth and efficient experience.

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