Personalized content recommendation method and system based on collaborative filtering

Abstract

The invention relates to the technical field of shopping mall marketing, and particularly discloses a personalized content recommendation method and system based on collaborative filtering. Drainage configuration information is obtained, a drainage link is obtained according to the drainage configuration information, and the drainage configuration information comprises basic information, distribution rule information, welcome information and landing page template information; link type information of a drainage link is obtained according to the basic information, application mode information is obtained according to the link type information, and the link type information comprises special link information and universal link information; according to the method, a plurality of multi-user live codes and drainage links are created through the drainage configuration information, and corresponding scene labels and welcome words are configured, so that after a merchant places the live codes in different drainage scenes, the drainage effect of each channel can be effectively evaluated, and the drainage efficiency is improved. Therefore, a basis can be provided for determining resource allocation and marketing key points.

Description

Technical Field

[0001] The present invention relates to the field of shopping mall marketing technology, and in particular to a personalized content recommendation method and system based on collaborative filtering. Background Art

[0002] Mall marketing refers to a series of strategies and activities taken by malls to attract customers, promote sales and enhance brand awareness. The channels of mall marketing mainly include online channels and offline channels, and digital marketing is the key means for online channels to play a role. Through various digital marketing technologies and strategies, the marketing effect and value of online channels can be improved. Issuing QR codes and links is a common means of attracting traffic in the mall marketing process. The purpose is to guide potential customers from one channel (such as social media, email, etc.) to the target channel (such as the mall’s official website, etc.) to increase the mall’s exposure, product sales or user registrations. With the widespread use of mobile devices, especially smartphones, which have a huge user base worldwide, mobile applications can reach a large number of potential users, and mobile applications can collect a variety of user information, such as geographic location, browsing history, purchase behavior, interests and hobbies, etc. Based on this data, malls can accurately profile and classify users, so as to carry out more targeted traffic activities. Therefore, it is becoming more and more important to attract traffic through mobile applications.

[0003] However, in an environment with diversified channels, the sources of new customers have become dispersed. When shopping malls promote on multiple channels such as social media platforms, offline activities, and email marketing at the same time, due to the lack of an effective channel tracking mechanism, it is impossible to accurately count the number of traffic diversions from each channel, making it impossible for shopping malls to fully understand the contribution of each channel to traffic diversion. In addition, for shopping malls, there are many existing POS members or public domain traffic obtained from online platforms. Shopping malls do not have suitable tools or strategies to guide these customers into the private domain traffic pool, and it is difficult to convert these customers into store WeChat friends. Even if customers are successfully converted into private domain traffic, they cannot be marked. As a result, when facing a large number of private domain customers, it is impossible to effectively distinguish important information such as the customer's source, preference, consumption stage, etc. This makes it impossible for shopping malls to provide targeted services and marketing content in subsequent follow-ups, reducing customer satisfaction and loyalty, and thus affecting the long-term value of private domain traffic. Summary of the invention

[0004] The purpose of the present invention is to provide a personalized content recommendation method and system based on collaborative filtering to solve the technical problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions: A personalized content recommendation method based on collaborative filtering, comprising: Obtaining traffic diversion configuration information, and obtaining a traffic diversion link according to the traffic diversion configuration information, wherein the traffic diversion configuration information includes basic information, allocation rule information, welcome message information, and landing page template information; Acquire link type information of the traffic diversion link according to the basic information, and acquire application mode information according to the link type information, wherein the link type information includes dedicated link information and general link information; Obtaining first traffic diversion media information corresponding to the dedicated link information in the application mode information, sending the first traffic diversion media information via SMS, and obtaining dedicated traffic diversion conversion information; Obtaining the second traffic-generating medium information corresponding to the general link information in the application mode information, distributing the second traffic-generating medium information through a link and a QR code, and obtaining general traffic-generating conversion information; Acquire data report information according to the dedicated traffic conversion information and the general traffic conversion information; Obtaining indicator information according to the data report information, and calculating the traffic diversion efficiency value according to the indicator information, wherein the indicator information includes today's friend conversion rate, friend growth rate, and average click-to-friend rate; Determining whether the drainage efficiency value is greater than a preset value; If the drainage efficiency value is not greater than the preset value, the drainage efficiency is determined to be low, and drainage effect diagnosis information is obtained according to the indicator information; The drainage configuration information is adjusted according to the drainage effect diagnosis information to obtain the drainage efficiency improvement configuration information, the drainage efficiency improvement configuration information is returned to the step of obtaining the drainage configuration information, and the drainage efficiency improvement configuration information is optimized in real time based on the drainage efficiency value.

[0006] Preferably, the step of obtaining the traffic diversion configuration information and obtaining the traffic diversion link according to the traffic diversion configuration information includes: Obtain a traffic flow link page, and obtain permission to create the traffic flow link according to a newly added link on the traffic flow link page; Acquire an information filling page, and create basic information according to the information filling page, wherein the basic information includes link type information, link name information, link description information and link tag information; Acquire an allocation rule page, and create allocation rule information according to the allocation rule page, wherein the allocation rule information includes first-level information, second-level information, and third-level information; Obtain a welcome message setting page, and create welcome message information according to the welcome message setting page; Get the landing page, and create a landing page template information based on the landing page.

[0007] Preferably, the step of obtaining data report information according to the dedicated traffic conversion information and the general traffic conversion information includes: Obtain the number of clicks on the dedicated link and the number of people who added the dedicated link according to the dedicated traffic conversion information; Obtaining the number of universal link scans and the number of people who added the universal link according to the universal traffic conversion information; Acquire traffic interaction information according to the number of clicks on the dedicated link and the number of scans on the universal link; Obtaining summary information of the traffic diversion links according to the number of people who added the dedicated links and the number of people who added the general links; The data report information is obtained according to the traffic diversion interaction information and the traffic diversion link summary information.

[0008] Preferably, the step of acquiring indicator information according to the data report information and calculating the drainage efficiency value according to the indicator information includes: According to the data report information, the total number of friends added today and the total number of link clicks today are obtained, and the total number of friends added today is divided by the total number of link clicks today to obtain the friend conversion rate today; Obtaining a first weight according to the friend conversion rate today; According to the data report information, the total number of friends added yesterday is obtained, and the difference between the total number of friends added today and the total number of friends added yesterday is divided by the total number of friends added yesterday to obtain the friend growth rate; Obtaining a second weight according to the friend growth rate; According to the data report information, the total number of friends added and the total number of link clicks are obtained, and the total number of friends added is divided by the total number of link clicks to obtain the average rate of adding friends by clicking; Obtaining a third weight according to the average rate of clicking and adding friends; Obtaining historical drainage data, and obtaining a time decay factor according to the historical drainage data; The drainage efficiency value is calculated according to the today's friend conversion rate, friend growth rate, average click-to-friend rate and time decay factor, where the calculation formula is: ; Where E represents the drainage efficiency value, Indicates Today's friend conversion rate, Indicates The friend growth rate of the day, Indicates The average click-and-friend rate per day, represents the first weight, represents the second weight, represents the third weight, Indicates the time decay factor (0﹤ ﹤1)、 Indicates the number of days of drainage.

[0009] Preferably, the step of obtaining drainage effect diagnosis information according to the indicator information includes: The friend conversion rate information is obtained according to the indicator information, wherein the friend conversion rate information includes a maximum friend conversion rate and a minimum friend conversion rate, and an average friend conversion rate standard value is calculated according to the today's friend conversion rate, the maximum friend conversion rate and the minimum friend conversion rate, wherein the calculation formula is: ; in, Indicates the standard value of average friend conversion rate, Indicates the maximum friend conversion rate, Indicates the minimum friend conversion rate. Indicates Today's friend conversion rate, Indicates the number of days of drainage; The growth rate information is obtained according to the indicator information, wherein the growth rate information includes a maximum growth rate and a minimum growth rate, and an average growth rate standard value is calculated according to the friend growth rate, the maximum growth rate and the minimum growth rate, wherein the calculation formula is: ; in, represents the standard value of the average growth rate, Indicates the maximum growth rate, Indicates the minimum growth rate, Indicates The friend growth rate of the day, Indicates the number of days of drainage; The comprehensive conversion rate information is obtained according to the indicator information, wherein the comprehensive conversion rate information includes a maximum comprehensive conversion rate and a minimum comprehensive conversion rate, and the comprehensive conversion rate standard value is calculated according to the average click-to-friend rate, the maximum comprehensive conversion rate and the minimum comprehensive conversion rate, wherein the calculation formula is: ; in, Indicates the standard value of comprehensive conversion rate, Indicates the maximum comprehensive conversion rate, Indicates the minimum comprehensive conversion rate. Indicates The average click-and-friend rate per day, Indicates the number of days of drainage; The drainage effect value is calculated according to the average friend conversion rate standard value, the average growth rate standard value and the comprehensive conversion rate standard value, wherein the calculation formula is: ; in Indicates the drainage effect value, Indicates the standard value of average friend conversion rate, represents the standard value of the average growth rate, Indicates the standard value of comprehensive conversion rate; Obtaining expected drainage effect information, and obtaining a drainage effect interval value according to the expected drainage effect information; Drainage effect diagnosis information is obtained according to the drainage effect value and the drainage effect interval value.

[0010] Preferably, the step of adjusting the drainage configuration information according to the drainage effect diagnosis information to obtain the drainage efficiency enhancement configuration information includes: Acquire drainage disadvantage factor information according to the drainage effect diagnosis information, wherein the drainage disadvantage factor information includes channel disadvantage information, content disadvantage information and adding process obstacle information; Acquire first optimization information according to the channel disadvantage information; Acquire second optimization information according to the content disadvantage information; Acquire third optimization information according to the added process obstacle information; The total optimization information is obtained according to the first optimization information, the second optimization information and the third optimization information, and the drainage efficiency enhancement configuration information is obtained according to the total optimization information and the drainage configuration information.

[0011] The present invention also discloses a personalized content recommendation system based on collaborative filtering, which is characterized by comprising: A first acquisition module is used to acquire traffic diversion configuration information, and acquire a traffic diversion link according to the traffic diversion configuration information, wherein the traffic diversion configuration information includes basic information, allocation rule information, welcome message information, and landing page template information; A second acquisition module is used to acquire link type information of the traffic diversion link according to the basic information, and acquire application mode information according to the link type information, wherein the link type information includes dedicated link information and general link information; A third acquisition module is used to acquire first traffic diversion medium information corresponding to the dedicated link information in the application mode information, send the first traffic diversion medium information through a text message, and acquire dedicated traffic diversion conversion information; A fourth acquisition module is used to acquire second traffic diversion media information corresponding to the general link information in the application mode information, distribute the second traffic diversion media information through a link and a QR code, and acquire general traffic diversion conversion information; A fifth acquisition module, used to acquire data report information according to the dedicated traffic conversion information and the general traffic conversion information; A calculation module, used to obtain indicator information according to the data report information, and calculate the drainage efficiency value according to the indicator information, wherein the indicator information includes today's friend conversion rate, friend growth rate and average click-to-friend rate; A judgment module, used to judge whether the drainage efficiency value is greater than a preset value; If the drainage efficiency value is not greater than the preset value, the drainage efficiency is determined to be low, and drainage effect diagnosis information is obtained according to the indicator information; The deployment module is used to adjust the drainage configuration information according to the drainage effect diagnosis information to obtain the drainage efficiency improvement configuration information, return the drainage efficiency improvement configuration information to the step of obtaining the drainage configuration information, and optimize the drainage efficiency improvement configuration information based on the drainage efficiency value in real time.

[0012] Preferably, the fifth acquisition module includes: A first acquisition unit is used to acquire the number of clicks on the dedicated link and the number of people who added the dedicated link according to the dedicated traffic conversion information; A second acquisition unit is used to acquire the number of universal link scans and the number of people who added the universal link according to the universal traffic conversion information; An interaction unit, configured to obtain traffic interaction information according to the number of clicks on the dedicated link and the number of scans on the universal link; A summarizing unit, configured to obtain summary information of the traffic diversion links according to the number of people who added the dedicated links and the number of people who added the universal links; The third acquisition unit is used to acquire data report information according to the diversion interaction information and the diversion link summary information.

[0013] The present application also provides a computer device, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the above method when executing the computer program.

[0014] The present application also provides a computer-readable storage medium on which a computer program is stored. When the computer program is executed by a processor, the steps of the above method are implemented.

[0015] The beneficial effects of the present application are as follows: the present invention creates multiple multi-person live codes and traffic flow links through traffic flow configuration information, and configures corresponding scene labels and welcome messages. In this way, after the mall places the live codes in different traffic flow scenarios, it can effectively evaluate the traffic flow effects of various channels, thereby providing a basis for resource allocation and determination of marketing priorities. In addition, according to the customers attracted by different scenarios, the mall can adopt more targeted follow-up maintenance strategies to provide them with personalized services and communication content. Moreover, the traffic flow links provided by the system can automatically allocate the store shopping guides that should be added based on the customer's current affiliation, which is better than completely random. The allocation method will be more accurate, and these POS members can be converted into WeChat friends and assigned to store guides who are familiar with their situation, so as to achieve more accurate service and marketing and increase the success rate of converting members into loyal customers. Moreover, compared with WeChat's native live code function, live code drainage provides a wider range of application scenarios. Not only can QR codes be used, but also drainage H5 links are provided. These links can be placed in many locations such as web pages and graphics as hyperlinks, greatly expanding the channels and scope of drainage, enabling shopping malls to attract potential customers across the entire region and reach more audiences from different channels, thereby increasing the chances and effects of drainage. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] Figure 1 The figure is a schematic diagram of a method flow of an embodiment of the present application.

[0017] Figure 2 A schematic diagram of the system structure of an embodiment of the present application.

[0018] Figure 3 A schematic diagram of the internal structure of a computer device according to an embodiment of the present application.

[0019] The realization of the purpose, functional features and advantages of this application will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0021] like Figure 1 As shown, the present application provides a personalized content recommendation method based on collaborative filtering, comprising: S1. Obtaining traffic diversion configuration information, and obtaining a traffic diversion link according to the traffic diversion configuration information, wherein the traffic diversion configuration information includes basic information, allocation rule information, welcome message information, and landing page template information; S2. Acquire link type information of the traffic diversion link according to the basic information, and acquire application mode information according to the link type information, wherein the link type information includes dedicated link information and general link information; S3, obtaining first traffic diversion medium information corresponding to the dedicated link information in the application mode information, sending the first traffic diversion medium information through a text message, and obtaining dedicated traffic diversion conversion information; S4, obtaining the second traffic diversion medium information corresponding to the general link information in the application mode information, distributing the second traffic diversion medium information through a link and a QR code, and obtaining general traffic diversion conversion information; S5. Obtain data report information according to the dedicated traffic conversion information and the general traffic conversion information; S6. Obtaining index information according to the data report information, and calculating the traffic diversion efficiency value according to the index information, wherein the index information includes today's friend conversion rate, friend growth rate, and average click-to-friend rate; S7, determining whether the drainage efficiency value is greater than a preset value; If the drainage efficiency value is not greater than the preset value, the drainage efficiency is determined to be low, and drainage effect diagnosis information is obtained according to the indicator information; S8. Adjust the drainage configuration information according to the drainage effect diagnosis information to obtain the drainage efficiency improvement configuration information, return the drainage efficiency improvement configuration information to the step of obtaining the drainage configuration information, and optimize the drainage efficiency improvement configuration information based on the drainage efficiency value in real time.

[0022] As described in the above steps S1-S8, with the widespread use of mobile devices, especially smart phones, there is a huge user base worldwide, which enables mobile applications to reach a large number of potential users, and mobile applications can collect a variety of information about users. Therefore, it is becoming more and more important to attract traffic through mobile applications. However, in an environment with diversified distribution channels, the source of new customers has become scattered. When shopping malls promote on multiple channels at the same time, due to the lack of an effective channel tracking mechanism, it is impossible to accurately count the number of traffic attracted by each channel, making it impossible for shopping malls to fully understand the contribution of each channel to traffic. In addition, shopping malls do not have appropriate tools or strategies to guide these customers into the private domain traffic pool, nor can they mark customers, resulting in shopping malls in subsequent follow-up. Unable to provide targeted services and marketing content, thereby affecting the long-term value of private domain traffic; the present invention creates a drainage link by filling in the drainage configuration information. The drainage configuration information is the basic setting of the drainage activity, which provides the necessary parameters and framework for the subsequent generation of drainage links and the development of drainage activities. Among them, the role of the basic information is to distinguish the drainage methods, attract user attention, facilitate content identification, assist online promotion, realize classification screening and accurately match user needs, thereby improving the drainage effect and work efficiency; the allocation rule information can determine the allocation method of resources in different channels or scenarios; the welcome message information can improve the user's experience at the first contact; the landing page template information is related to the presentation form of the page reached by the user after clicking the drainage link, It plays an important role in guiding users to take further actions. Then, the corresponding drainage method is adopted according to the link type information of the drainage link. Among them, for special drainage links, after the special drainage link is created, you need to create a text message template, and you can directly quote this special drainage link in the text message template. Then, the GIC system can use this text message template to carry out private domain conversion of existing members. For example: when conducting text message marketing, you can use this text message template to send text messages specifically to existing members to promote the conversion of members into enterprise WeChat friends. When conducting AI marketing, you can configure the outbound call and then send the "hang-up text message" method to guide members to convert into enterprise WeChat friends. For general drainage links, you can get the link or download the QR code, and then It is placed where you want it to be displayed. For example, you can configure the universal drainage link at the bottom of the official account tweet, so as to divert the existing official account fans to the company WeChat. You can also put the universal drainage link in the official account automatic reply, so that after the customer follows the official account or enters a keyword, the universal drainage link will be automatically pushed. At the same time, you can also configure the universal drainage link in some external channels, such as Weibo, Zhihu, Xiaohongshu, etc., so that the public domain traffic is transferred to the private domain. Through the joint drainage of dedicated drainage links and universal drainage links, it can cover user groups from multiple channels, better attract target users, and meet the needs of different users to achieve the purpose of personalized content recommendation. Then, use the high arrival rate of SMS to attract users to click on dedicated links.Then, the conversion status of the dedicated traffic-generating link in the traffic-generating process, such as click-through rate, number of friends added, and other conversion data, can be obtained. The universal traffic-generating link is convenient and universal, and can be widely used in various online and offline scenarios, such as posters, leaflets, web pages, etc. The universal traffic-generating link is distributed in the form of a link or a QR code, which can facilitate users to scan the code to enter the relevant page, and then collect the conversion data of the universal traffic-generating link in the traffic-generating process, including the number of scans, number of friends added, etc. The data of the dedicated traffic-generating link and the universal traffic-generating link are integrated and analyzed to obtain data report information, which includes the number of friends added (overview), the number of new people added today, and the number of new friends added today. The data reports can be used to classify and summarize the above data and form overview information of different dimensions, and support in-depth mining of detailed data according to specific time dimensions, so as to present the performance indicators of drainage activities at different time stages in a more comprehensive, detailed and organized manner. Therefore, the data report information can fully present the different link types in the entire drainage activity. It is a centralized arrangement of data collected from different channels and link types for drainage activities, which provides a rich data foundation for the subsequent in-depth analysis of drainage effects. By extracting key indicator information from the information, namely today's friend conversion rate, friend growth rate and average click-to-friend rate, and calculating the drainage efficiency value based on these indicators, the overall efficiency of the drainage activity can be comprehensively evaluated, providing a quantitative standard for judging whether the drainage effect meets expectations. Then, by comparing the calculated drainage efficiency value with the preset value, the drainage efficiency can be judged. If the drainage efficiency value is not greater than the preset value, the drainage efficiency is judged to be low. Next, by integrating the information of the three key dimensions of friend conversion rate, growth rate and average click-to-friend rate, the overall effect of the drainage activity is diagnosed. This diagnostic method can enable marketers to focus on practical problems. In this way, possible problems in the traffic generation activities can be discovered in time, providing trigger conditions for subsequent targeted optimization. Finally, by analyzing the diagnosed problems, targeted adjustments are made to various elements in the traffic generation configuration information (such as basic information, allocation rule information, welcome information, landing page template information, etc.) to improve the effect of the traffic generation activities, and the optimized traffic generation efficiency configuration information is returned to the starting step to re-acquire the traffic generation configuration information, realizing a cyclic optimization process, and optimizing the traffic generation efficiency configuration information in real time based on the traffic generation efficiency value, and being able to continuously and dynamically adjust the optimization strategy according to the actual traffic generation effect, ensuring that the traffic generation activities always develop in the direction of improving efficiency and effect.

[0023] In one embodiment, the step of obtaining the traffic diversion configuration information and obtaining the traffic diversion link according to the traffic diversion configuration information includes: S11, obtaining a traffic diversion link page, and obtaining permission to create the traffic diversion link according to a newly added link on the traffic diversion link page; S12, obtaining an information filling page, and creating basic information according to the information filling page, wherein the basic information includes link type information, link name information, link description information and link tag information; S13, obtaining an allocation rule page, and creating allocation rule information according to the allocation rule page, wherein the allocation rule information includes first-level information, second-level information, and third-level information; S14, obtaining a welcome message setting page, and creating welcome message information according to the welcome message setting page; S15. Obtain a landing page, and create landing page template information according to the landing page.

[0024] As described in the above steps S11-S15, the present invention can start creating a drainage link by opening the drainage link page and clicking on the new link on the drainage link page. After clicking on the new link, it will jump to the information filling page, and it is necessary to fill in the link type information, link name information, link description information and link tag information on the information filling page, wherein the link type information is divided into dedicated links and general links, dedicated links refer to links that are only used to directly add references when creating a "SMS template" in the GIC system, so that the system can add specific member parameters to the drainage link according to the member's mobile phone number, and promote the conversion of existing members in the private domain through SMS, while general links refer to links that are used to add friends and divert traffic in other forms. In the process of filling in the link type information, it is necessary to select the link type to be created according to the subsequent application method, and the link name information is filled in to name the drainage link, so as to distinguish different drainage links, and when filling in the link description information, you can Fill in some text that is easy to identify later, and finally add link label information. After adding labels, customers who successfully add employees through the drainage link will be automatically labeled. For example, customers who enter the link from SMS and then add friends can be labeled "SMS conversion". When creating allocation rule information on the allocation rule page, the specific allocation rule for the drainage link is: After the customer clicks the drainage link, the enterprise WeChat employee live code assigned by the system will be displayed according to the priority of the lower level configuration: 1. The priority judgment rule is "from top to bottom, from left to right". For example, when the previous level matches the result, the judgment of the next level will not be executed. In the same level, when the check option on the left matches the result, the check option on the right of the level will not be executed; 2. The premise of the result matched according to the priority is that the employee has a valid "single live code" in [Live Code Management-Employee Live Code] and "has not reached the upper limit of adding friends on the day", otherwise, the subsequent priority judgment will continue;3. If the result matched according to the priority is already a friend relationship with the customer, the subsequent priority judgment will not continue, and the live code of the employee will be displayed directly. The first-level information indicates the service store, and the service store contains three options: exclusive shopping guide, store manager and other shopping guides. The second-level information indicates the co-managed store, and the co-managed store contains three options: co-managed store shopping guide, store manager and other shopping guides. The third-level information indicates other stores, and the other stores contain two options: recommended stores (up to 20 stores can be configured as recommended stores to allow customers to choose the store friends they want to add) and nearby stores. The specific allocation process is: For example: After the first-level information is checked, if a customer is If a customer already has a service store and an exclusive shopping guide, then after the customer enters the link, the system will display the exclusive shopping guide's corporate WeChat active code for the customer to add. If a customer has a designated service store and an exclusive shopping guide, but the exclusive shopping guide does not have an active code in the [Employee Active Code] or the active code is invalid, the subsequent judgment will continue. If the result can be matched through the first-level information or the second-level information, then after the customer enters the link, it will jump to the matching employee active code. If the result cannot be matched through the first-level information and the second-level information, the system will judge the third-level information. If the third-level information is configured as "recommended store", then after the customer enters the link, the page will display the configured For the recommended stores configured, customers can choose a store to add as a friend, and in this process, the system will automatically filter out stores that have no shopping guides to add (for example, the shopping guides in the store have no active employee codes or the daily limit for adding has been reached). If "Nearby Stores" is configured, after the customer enters the link, the page will first request to obtain the customer's location information, and then, based on whether the customer authorizes the location information, the page will display nearby stores or designated stores for the customer to choose from. If no results can be matched through all levels, for example, if it is judged at the last level that there are no shopping guides available to add in the recommended nearby stores or designated stores, the system will display a default page, and the above allocation rules can be used to select the store that matches the customer. The existing attribution situation can be more targeted to assign the corresponding shopping guide employee live code to the customer for addition, rather than randomly assigning a shopping guide. The welcome message information can be set on the welcome message setting page. The welcome message information includes "Set welcome message" and "Select welcome message". Among them, "Set welcome message" includes "Link welcome message" and "Do not send welcome message" two options. If "Link welcome message" is selected, then after adding friends through this live code, the system will automatically push the welcome message configured here. The welcome message in "Select welcome message" can be taken from the special welcome message in [Settings-Welcome message settings]. If "Do not send welcome message" is selected, no welcome message will be sent after the customer adds friends through the link;Then create a landing page template on the landing page. After the customer enters through the traffic link, he will first enter the landing display page. Then the system will show the employee live code to the customer on this landing display page. Finally, click "Save" to complete the creation of the entire traffic link. The traffic link has a variety of display forms. It can be presented in the form of a link, which is convenient for embedding in various text content, such as text hyperlinks in text carriers such as articles, emails, and text messages. It can also be combined with pictures to form picture hyperlinks. For example, setting picture hyperlinks in advertising pictures and product posters on social media platforms can effectively use visual elements to attract users' attention and improve the success rate of traffic. ;

[0025] In one embodiment, the step of obtaining data report information according to the dedicated traffic conversion information and the general traffic conversion information includes: S51, obtaining the number of clicks on the dedicated link and the number of people who added the dedicated link according to the dedicated traffic conversion information; S52: Obtain the number of universal link scans and the number of people who added the universal link according to the universal traffic conversion information; S53, acquiring traffic interaction information according to the number of clicks on the dedicated link and the number of scans on the universal link; S54, obtaining summary information of traffic diversion links according to the number of people who added the dedicated links and the number of people who added the general links; S55. Obtain data report information according to the traffic diversion interaction information and traffic diversion link summary information.

[0026] As described in the above steps S51-S55, the present invention focuses on dedicated traffic conversion information and general traffic conversion information, and accurately extracts key data related to dedicated links and general links, namely, the number of dedicated link clicks, the number of people who add dedicated links, the number of general link scans, and the number of people who add general links, so as to respectively obtain the effects of traffic conversion through dedicated links and general links, and integrates and analyzes two different types of data, the number of dedicated link clicks and the number of general link scans, which are both related to the initial interaction between users and traffic links, to comprehensively present the overall situation of users in the process of initial contact with traffic links, so as to deeply understand the user's behavior patterns in the initial stage of traffic generation, such as whether they are more inclined to click on dedicated links or scan It can describe the general links, as well as the differences in the effects of traffic initiation in different scenarios, and summarize the number of people adding dedicated links and the number of people adding general links. This is a comprehensive summary of the traffic-driving activities in the conversion link, which can clearly show the comprehensive contribution of different types of links in traffic conversion, and help evaluate the overall effectiveness of the entire traffic-driving activity in attracting users and enabling them to complete the adding operation. By aggregating the above data and information into data reports, the relevant data of the entire traffic-driving activity can be presented in a more systematic and standardized form, which is convenient for relevant personnel (such as marketers, data analysts, etc.) to quickly and accurately understand the overall picture of the traffic-driving activities, so as to carry out subsequent analysis, decision-making and further optimization of the traffic-driving strategy.

[0027] In one embodiment, the step of acquiring indicator information according to the data report information and calculating the drainage efficiency value according to the indicator information includes: S61, obtaining the total number of friends added today and the total number of link clicks today according to the data report information, and dividing the total number of friends added today by the total number of link clicks today to obtain the friend conversion rate today; S62, obtaining a first weight according to the today's friend conversion rate; S63, obtaining the total number of friends added yesterday according to the data report information, and dividing the difference between the total number of friends added today and the total number of friends added yesterday by the total number of friends added yesterday to obtain the friend growth rate; S64, obtaining a second weight according to the friend growth rate; S65, obtaining the total number of friends added and the total number of link clicks according to the data report information, and dividing the total number of friends added by the total number of link clicks to obtain an average friend-clicking rate; S66, obtaining a third weight according to the average rate of clicking to add friends; S67, obtaining historical drainage data, and obtaining a time attenuation factor according to the historical drainage data; S68, calculating the drainage efficiency value according to the friend conversion rate, friend growth rate, average click-to-friend rate and time decay factor, wherein the calculation formula is: ; Where E represents the drainage efficiency value, Indicates Today's friend conversion rate, Indicates The friend growth rate of the day, Indicates The average click-and-friend rate per day, represents the first weight, represents the second weight, represents the third weight, Indicates the time decay factor (0﹤ ﹤1)、 Indicates the number of days of drainage.

[0028] As described in the above steps S61-S68, the present invention can intuitively reflect the proportion of users who click on the link and eventually convert into friends in the day's drainage activities through the indicator of today's friend conversion rate. It can help marketers quickly understand the attractiveness of the day's drainage content and process to users, as well as the effectiveness of guiding users to add friends. The indicator of friend growth rate can reflect the growth trend of drainage activities in attracting new users to add friends, which is a key indicator for evaluating the sustainability and growth of drainage activities. The indicator of average rate of clicking to add friends can reflect the user's enthusiasm for adding friends and the effect of drainage activities in guiding users to add friends multiple times. It can help marketers understand the depth of user behavior and comprehensively consider today's friend conversion rate, friends, and the growth rate of friends. The calculation of the drainage efficiency value based on the three key indicators of growth rate and average click-to-friend rate not only avoids the one-sidedness of relying on a single indicator to evaluate the drainage effect, but also these three indicators reflect the conversion effect, growth trend and depth of user adding behavior of the drainage activities from different angles, comprehensively covering the key links in the drainage process, making the evaluation of the drainage effect more objective and accurate. In actual drainage activities, the market environment and user behavior are constantly changing, and the impact of past data on the current drainage effect should gradually weaken. By introducing the time attenuation factor, the calculation of the drainage efficiency value is more in line with the actual situation, paying more attention to the impact of recent data, and being able to timely reflect the latest developments of drainage activities, helping marketers to quickly adjust drainage strategies according to current market feedback.

[0029] In one embodiment, the step of obtaining drainage effect diagnosis information according to the indicator information includes: S71. Acquire friend conversion rate information according to the indicator information, wherein the friend conversion rate information includes a maximum friend conversion rate and a minimum friend conversion rate, and calculate an average friend conversion rate standard value according to the today's friend conversion rate, the maximum friend conversion rate and the minimum friend conversion rate, wherein the calculation formula is: ; in, Indicates the standard value of average friend conversion rate, Indicates the maximum friend conversion rate, Indicates the minimum friend conversion rate. Indicates Today's friend conversion rate, Indicates the number of days of drainage; S72. Acquire growth rate information according to the indicator information, wherein the growth rate information includes a maximum growth rate and a minimum growth rate, and calculate an average growth rate standard value according to the friend growth rate, the maximum growth rate and the minimum growth rate, wherein the calculation formula is: ; in, represents the standard value of the average growth rate, Indicates the maximum growth rate, Indicates the minimum growth rate, Indicates The friend growth rate of the day, Indicates the number of days of drainage; S73. Obtain comprehensive conversion rate information according to the indicator information, wherein the comprehensive conversion rate information includes a maximum comprehensive conversion rate and a minimum comprehensive conversion rate, and calculate a standard comprehensive conversion rate value according to the average click-to-friend rate, the maximum comprehensive conversion rate and the minimum comprehensive conversion rate, wherein the calculation formula is: ; in, Indicates the standard value of comprehensive conversion rate, Indicates the maximum comprehensive conversion rate, Indicates the minimum comprehensive conversion rate. Indicates The average click-and-friend rate per day, Indicates the number of days of drainage; S74. Calculate the drainage effect value according to the average friend conversion rate standard value, the average growth rate standard value and the comprehensive conversion rate standard value, wherein the calculation formula is: ; in Indicates the drainage effect value, Indicates the standard value of average friend conversion rate, represents the standard value of the average growth rate, Indicates the standard value of comprehensive conversion rate; S75, obtaining expected information on the drainage effect, and obtaining a drainage effect interval value according to the expected information on the drainage effect; estimating the performance level of the current drainage in the link of converting users into friends, and obtaining.

[0030] S76. Obtain drainage effect diagnosis information according to the drainage effect value and the drainage effect interval value.

[0031] As described in the above steps S71-S76, the present invention normalizes today's friend conversion rate, friend growth rate, and average click-to-friend rate in the historical conversion rate range, historical growth rate range, and historical click-to-friend rate range, respectively. The obtained average friend conversion rate standard value can intuitively reflect the relative position of the current friend conversion rate in the historical data interval, and help evaluate the performance level of the current drainage in converting users into friends. The obtained average growth rate standard value can evaluate the growth trend of drainage activities in attracting new users to add friends compared with historical situations, and is an important reference for measuring the growth stability and effectiveness of drainage activities. The obtained comprehensive conversion rate standard value can better evaluate the performance of drainage activities in guiding users to add friends in terms of depth (average number of additions) and historical situations. The calculation of the drainage effect value integrates the information of the three key dimensions of friend conversion rate, growth rate, and comprehensive conversion rate, and can comprehensively reflect the overall effect of the drainage activity, avoiding the limitations of single indicator evaluation. By comparing the drainage effect value with the drainage effect interval value By making a comparison, it can be clear whether the effect of the current traffic generation activity is higher than expected, lower than expected, or within the expected range. In addition, based on the specific comparison with the interval value, it can be further inferred that there may be problems in the traffic generation activity. For example, if the interval value of the traffic generation effect is set to (A, B), when D < A, it indicates that the poor traffic generation effect is caused by the poor specific page that guides users to add friends. For example, the layout of the adding friend page may be unreasonable, the button is not eye-catching, or the page loading speed is slow, which affects the user's willingness to add friends. When A ≦ D ≦ B, it indicates that the poor traffic generation effect is caused by insufficient exposure of the traffic generation channel. That is, although the traffic generation page itself may not have too many problems, the traffic generation effect is not ideal because not enough people see the traffic generation link or related content. When D > B, it indicates that the poor traffic generation effect is caused by certain problems in the operation process of adding friends. For example, the steps of adding friends are too cumbersome, too much information needs to be filled in, or the verification process is complicated, which makes users easily give up during the operation, thereby affecting the overall traffic generation effect. This diagnostic method can enable marketers to focus more on actual problems.

[0032] In one embodiment, the step of adjusting the drainage configuration information according to the drainage effect diagnosis information to obtain the drainage efficiency enhancement configuration information includes: S81, acquiring drainage disadvantage factor information according to the drainage effect diagnosis information, wherein the drainage disadvantage factor information includes channel disadvantage information, content disadvantage information and adding process obstacle information; S82, obtaining first optimization information according to the channel disadvantage information; S83, obtaining second optimization information according to the content disadvantage information; S84, obtaining third optimization information according to the added process obstacle information; S85. Obtain total optimization information according to the first optimization information, the second optimization information and the third optimization information, and obtain drainage efficiency enhancement configuration information according to the total optimization information and the drainage configuration information.

[0033] As described in the above steps S81-S85, the present invention can formulate solutions for problems found in the drainage channel through the first optimization information in the channel disadvantage information, wherein the first optimization information refers to the promotion method of expanding the channel, such as increasing advertising, cooperating with opinion leaders in the channel, etc. For example: if the channel does not match the target audience, the first optimization information can be to re-evaluate and adjust the channel selection strategy, and transfer resources to channels that are more in line with the target user group. Through the second optimization information in the content disadvantage information, the drainage content can be optimized, wherein the second optimization information refers to the method of improving the copy, for example: if the value proposition is not clear, the second optimization information can be to re-refine and highlight the actual benefits that can be brought to users after adding friends, such as clear discounts, exclusive services or valuable information, etc., by adding The third optimization information in the process obstacle information can be used to optimize the process of users adding friends. The third optimization information refers to a simplified method of adding friends. For example, for situations where verification is cumbersome, the third optimization information can be a more convenient verification method, such as simplifying the verification code input or using a third-party account for quick verification, etc. The three key aspects of drainage channels, content and adding processes are comprehensively optimized, and combined with the existing drainage configuration information, it is adjusted. The optimized drainage efficiency configuration information can comprehensively solve the various drainage problems diagnosed before, and it is a solution that can be directly applied to actual drainage activities. This practicality enables marketers to quickly put optimization strategies into practice, quickly verify the optimization effects, and make further adjustments based on actual conditions, thus forming a virtuous circle of continuous optimization.

[0034] like Figure 2 As shown, the present application also provides a personalized content recommendation system based on collaborative filtering, which is characterized by comprising: The first acquisition module 1 is used to acquire traffic diversion configuration information and acquire a traffic diversion link according to the traffic diversion configuration information, wherein the traffic diversion configuration information includes basic information, allocation rule information, welcome message information and landing page template information; A second acquisition module 2 is used to acquire link type information of the traffic diversion link according to the basic information, and acquire application mode information according to the link type information, wherein the link type information includes dedicated link information and general link information; The third acquisition module 3 is used to acquire the first traffic diversion medium information corresponding to the dedicated link information in the application mode information, send the first traffic diversion medium information through SMS, and acquire the dedicated traffic diversion conversion information; The fourth acquisition module 4 is used to acquire the second traffic diversion medium information corresponding to the general link information in the application mode information, distribute the second traffic diversion medium information through a link and a QR code, and acquire the general traffic diversion conversion information; A fifth acquisition module 5, used to acquire data report information according to the dedicated traffic conversion information and the general traffic conversion information; Calculation module 6, used to obtain index information according to the data report information, and calculate the drainage efficiency value according to the index information, wherein the index information includes today's friend conversion rate, friend growth rate and average click-to-friend rate; A judgment module 7 is used to judge whether the drainage efficiency value is greater than a preset value; If the drainage efficiency value is not greater than the preset value, the drainage efficiency is determined to be low, and drainage effect diagnosis information is obtained according to the indicator information; The deployment module 8 is used to adjust the drainage configuration information according to the drainage effect diagnosis information to obtain the drainage efficiency improvement configuration information, return the drainage efficiency improvement configuration information to the step of obtaining the drainage configuration information, and optimize the drainage efficiency improvement configuration information based on the drainage efficiency value in real time.

[0035] In one embodiment, the fifth acquisition module 5 includes: A first acquisition unit is used to acquire the number of clicks on the dedicated link and the number of people who added the dedicated link according to the dedicated traffic conversion information; A second acquisition unit is used to acquire the number of universal link scans and the number of people who added the universal link according to the universal traffic conversion information; An interaction unit, configured to obtain traffic interaction information according to the number of clicks on the dedicated link and the number of scans on the universal link; A summarizing unit, configured to obtain summary information of the traffic diversion links according to the number of people who added the dedicated links and the number of people who added the universal links; The third acquisition unit is used to acquire data report information according to the diversion interaction information and the diversion link summary information.

[0036] like Figure 3 As shown, the present application also provides a computer device, which may be a server, and its internal structure may be as shown in Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor designed by the computer is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used for all data required for the process of the method for constructing an indicator system based on product standards. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, the method for constructing an indicator system based on product standards is implemented.

[0037] Those skilled in the art will understand that Figure 3 The structure shown in is merely a block diagram of a portion of the structure related to the present application solution and does not constitute a limitation on the computer device to which the present application solution is applied.

[0038] An embodiment of the present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, any of the above-mentioned methods and systems for constructing an indicator system based on product standards is implemented.

[0039] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be implemented by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media provided in this application and used in the embodiments 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 many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (SSRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0040] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, device, article or method including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, device, article or method. In the absence of further restrictions, an element defined by the sentence "includes a ..." does not exclude the presence of other identical elements in the process, device, article or method including the element.

[0041] The above description is only a preferred embodiment of the present invention, and does not limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made by using the contents of the present invention specification and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A personalized content recommendation method based on collaborative filtering, characterized in that: include: Obtaining traffic diversion configuration information, and obtaining a traffic diversion link according to the traffic diversion configuration information, wherein the traffic diversion configuration information includes basic information, allocation rule information, welcome message information, and landing page template information; Acquire link type information of the traffic diversion link according to the basic information, and acquire application mode information according to the link type information, wherein the link type information includes dedicated link information and general link information; Obtaining first traffic diversion media information corresponding to the dedicated link information in the application mode information, sending the first traffic diversion media information via SMS, and obtaining dedicated traffic diversion conversion information; Obtaining the second traffic-generating medium information corresponding to the general link information in the application mode information, distributing the second traffic-generating medium information through a link and a QR code, and obtaining general traffic-generating conversion information; Acquire data report information according to the dedicated traffic conversion information and the general traffic conversion information; Obtaining indicator information according to the data report information, and calculating the traffic diversion efficiency value according to the indicator information, wherein the indicator information includes today's friend conversion rate, friend growth rate, and average click-to-friend rate; Determining whether the drainage efficiency value is greater than a preset value; If the drainage efficiency value is not greater than the preset value, the drainage efficiency is determined to be low, and drainage effect diagnosis information is obtained according to the indicator information; The drainage configuration information is adjusted according to the drainage effect diagnosis information to obtain the drainage efficiency improvement configuration information, the drainage efficiency improvement configuration information is returned to the step of obtaining the drainage configuration information, and the drainage efficiency improvement configuration information is optimized in real time based on the drainage efficiency value.

2. The method for personalized content recommendation based on collaborative filtering according to claim 1, characterized in that: The step of obtaining the traffic diversion configuration information and obtaining the traffic diversion link according to the traffic diversion configuration information includes: Obtain a traffic flow link page, and obtain permission to create the traffic flow link according to a newly added link on the traffic flow link page; Acquire an information filling page, and create basic information according to the information filling page, wherein the basic information includes link type information, link name information, link description information and link tag information; Acquire an allocation rule page, and create allocation rule information according to the allocation rule page, wherein the allocation rule information includes first-level information, second-level information, and third-level information; Obtain a welcome message setting page, and create welcome message information according to the welcome message setting page; Get the landing page, and create a landing page template information based on the landing page.

3. The method for personalized content recommendation based on collaborative filtering according to claim 1, characterized in that: The step of obtaining data report information according to the dedicated traffic conversion information and the general traffic conversion information includes: Obtain the number of clicks on the dedicated link and the number of people who added the dedicated link according to the dedicated traffic conversion information; Obtaining the number of universal link scans and the number of people who added the universal link according to the universal traffic conversion information; Acquire traffic interaction information according to the number of clicks on the dedicated link and the number of scans on the universal link; Obtaining summary information of the traffic diversion links according to the number of people who added the dedicated links and the number of people who added the general links; The data report information is obtained according to the traffic diversion interaction information and the traffic diversion link summary information.

4. The method for personalized content recommendation based on collaborative filtering according to claim 1, characterized in that: The step of acquiring indicator information according to the data report information and calculating the drainage efficiency value according to the indicator information includes: According to the data report information, the total number of friends added today and the total number of link clicks today are obtained, and the total number of friends added today is divided by the total number of link clicks today to obtain the friend conversion rate today; Obtaining a first weight according to the friend conversion rate today; According to the data report information, the total number of friends added yesterday is obtained, and the difference between the total number of friends added today and the total number of friends added yesterday is divided by the total number of friends added yesterday to obtain the friend growth rate; Obtaining a second weight according to the friend growth rate; According to the data report information, the total number of friends added and the total number of link clicks are obtained, and the total number of friends added is divided by the total number of link clicks to obtain the average rate of adding friends by clicking; Obtaining a third weight according to the average rate of clicking and adding friends; Acquire historical drainage data, and acquire a time decay factor according to the historical drainage data; The drainage efficiency value is calculated according to the today's friend conversion rate, friend growth rate, average click-to-friend rate and time decay factor, where the calculation formula is: ; Where E represents the drainage efficiency value, Indicates Today's friend conversion rate, Indicates The friend growth rate of the day, Indicates The average click-and-friend rate per day, represents the first weight, represents the second weight, represents the third weight, Indicates the time decay factor (0﹤ ﹤1)、 Indicates the number of days of drainage.

5. The method for personalized content recommendation based on collaborative filtering according to claim 1, characterized in that: The step of obtaining drainage effect diagnosis information according to the indicator information includes: The friend conversion rate information is obtained according to the indicator information, wherein the friend conversion rate information includes a maximum friend conversion rate and a minimum friend conversion rate, and an average friend conversion rate standard value is calculated according to the today's friend conversion rate, the maximum friend conversion rate and the minimum friend conversion rate, wherein the calculation formula is: ； in, Indicates the standard value of average friend conversion rate, Indicates the maximum friend conversion rate, Indicates the minimum friend conversion rate. Indicates Today's friend conversion rate, Indicates the number of days of drainage; The growth rate information is obtained according to the indicator information, wherein the growth rate information includes a maximum growth rate and a minimum growth rate, and an average growth rate standard value is calculated according to the friend growth rate, the maximum growth rate and the minimum growth rate, wherein the calculation formula is: ； in, represents the standard value of the average growth rate, Indicates the maximum growth rate, Indicates the minimum growth rate, Indicates The friend growth rate of the day, Indicates the number of days of drainage; The comprehensive conversion rate information is obtained according to the indicator information, wherein the comprehensive conversion rate information includes a maximum comprehensive conversion rate and a minimum comprehensive conversion rate, and the comprehensive conversion rate standard value is calculated according to the average click-to-friend rate, the maximum comprehensive conversion rate and the minimum comprehensive conversion rate, wherein the calculation formula is: ； in, Indicates the standard value of comprehensive conversion rate, Indicates the maximum comprehensive conversion rate. Indicates the minimum comprehensive conversion rate. Indicates The average click-and-friend rate per day, Indicates the number of days of drainage; The drainage effect value is calculated according to the average friend conversion rate standard value, the average growth rate standard value and the comprehensive conversion rate standard value, wherein the calculation formula is: ； in Indicates the drainage effect value, Indicates the standard value of average friend conversion rate, Indicates the standard value of the average growth rate Indicates the standard value of comprehensive conversion rate; Obtaining expected drainage effect information, and obtaining a drainage effect interval value according to the expected drainage effect information; Drainage effect diagnosis information is obtained according to the drainage effect value and the drainage effect interval value.

6. The method for personalized content recommendation based on collaborative filtering according to claim 1, characterized in that: The step of adjusting the drainage configuration information according to the drainage effect diagnosis information to obtain the drainage efficiency enhancement configuration information includes: Acquire drainage disadvantage factor information according to the drainage effect diagnosis information, wherein the drainage disadvantage factor information includes channel disadvantage information, content disadvantage information and adding process obstacle information; Acquire first optimization information according to the channel disadvantage information; Acquire second optimization information according to the content disadvantage information; Acquire third optimization information according to the added process obstacle information; The total optimization information is obtained according to the first optimization information, the second optimization information and the third optimization information, and the drainage efficiency enhancement configuration information is obtained according to the total optimization information and the drainage configuration information.

7. The personalized content recommendation system based on collaborative filtering according to claim 1, characterized in that: include: A first acquisition module is used to acquire traffic diversion configuration information, and acquire a traffic diversion link according to the traffic diversion configuration information, wherein the traffic diversion configuration information includes basic information, allocation rule information, welcome message information, and landing page template information; A second acquisition module is used to acquire link type information of the traffic diversion link according to the basic information, and acquire application mode information according to the link type information, wherein the link type information includes dedicated link information and general link information; A third acquisition module is used to acquire first traffic diversion medium information corresponding to the dedicated link information in the application mode information, send the first traffic diversion medium information through a text message, and acquire dedicated traffic diversion conversion information; A fourth acquisition module is used to acquire second traffic diversion media information corresponding to the general link information in the application mode information, distribute the second traffic diversion media information through a link and a QR code, and acquire general traffic diversion conversion information; A fifth acquisition module, used to acquire data report information according to the dedicated traffic conversion information and the general traffic conversion information; A calculation module, used to obtain indicator information according to the data report information, and calculate the drainage efficiency value according to the indicator information, wherein the indicator information includes today's friend conversion rate, friend growth rate and average click-to-friend rate; A judgment module, used to judge whether the drainage efficiency value is greater than a preset value; If the drainage efficiency value is not greater than the preset value, the drainage efficiency is determined to be low, and drainage effect diagnosis information is obtained according to the indicator information; The deployment module is used to adjust the drainage configuration information according to the drainage effect diagnosis information to obtain the drainage efficiency improvement configuration information, return the drainage efficiency improvement configuration information to the step of obtaining the drainage configuration information, and optimize the drainage efficiency improvement configuration information based on the drainage efficiency value in real time.

8. A personalized content recommendation system based on collaborative filtering, characterized in that: The fifth acquisition module comprises: A first acquisition unit is used to acquire the number of clicks on the dedicated link and the number of people who added the dedicated link according to the dedicated traffic conversion information; A second acquisition unit is used to acquire the number of universal link scans and the number of people who added the universal link according to the universal traffic conversion information; An interaction unit, configured to obtain traffic interaction information according to the number of clicks on the dedicated link and the number of scans on the universal link; A summarizing unit, configured to obtain summary information of the traffic diversion links according to the number of people who added the dedicated links and the number of people who added the universal links; The third acquisition unit is used to acquire data report information according to the diversion interaction information and the diversion link summary information.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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