Platform account management method, platform management device and computer readable storage medium

Abstract

The invention provides an account management method of a platform, a platform management device and a computer readable storage medium, and the method comprises the steps: obtaining user registration information, and setting an initial point for a user point of a user account; when the publishing submission information of the user account is obtained, judging whether the user point is greater than the publishing content deduction point, if so, deducting the user point of the user account, and publishing the publishing content data corresponding to the publishing submission information to the platform; acquiring published content data, and inputting the published content data into a scoring model for scoring to obtain scoring data; performing combined calculation on the score data, the page view of the published content data and the like amount of the published content data by taking the score data as a coefficient to obtain a current integral; and adding the current point to the user point of the user account. Through the method, the release of low-quality content of the user account of the platform can be inhibited.

Description

Technical Field

[0001] The present invention relates to the technical field of network communications, and in particular to a platform account management method, a platform management device and a computer-readable storage medium. Background Art

[0002] With the development of the platform, users can share content on social platforms, publish articles, publish content and share technology on content platforms, etc., which provides great convenience to users. Technical personnel can also publish technical content on technical content platforms to provide technical assistance to other users. However, in technical content platforms, users can freely share content on technical content platforms, that is, users can publish content that is not related to technology. However, if low-quality content that is not related to technology is published for a long time, it will occupy the storage space and resources of the memory inside the server connected to the technical content platform, thereby increasing the difficulty for other users to find technical information.

[0003] An existing user account management method is to obtain the target publishing data generated after the first electronic terminal logs into the server through a designated account, the target publishing data includes the publishing content; identify the publishing content, and determine whether the publishing content belongs to any of the multiple pre-set unqualified data; if so, obtain the deduction interval according to the category of unqualified data corresponding to the publishing content; and determine the deduction score according to the publishing content and the deduction interval; deduct the deduction score from the reputation value of the designated account; unqualified data such as unqualified text information, unqualified video information, unqualified picture information, etc. However, this user account management method only deducts points for unqualified data, thereby suppressing the publication of unqualified content.

[0004] However, on a technical content platform, when low-quality content data that is not related to technology is published, for example, a user publishes today's breakfast content, which is not related to technology, but the breakfast content is not unqualified content, it is just low-quality content. The user account management method cannot identify the content as low-quality content, resulting in the technical content platform being unable to filter content data that is not related to technology. Summary of the invention

[0005] The first object of the present invention is to provide an account management method for a platform that inhibits users from suppressing the release of low-quality content.

[0006] The second object of the present invention is to provide a platform management device for implementing the account management method of the above platform.

[0007] A third object of the present invention is to provide a computer-readable storage medium for an account management method using the above platform.

[0008] To achieve the first purpose of the present invention, the account management method of the platform provided by the present invention is characterized in that the method includes: obtaining user registration information, and setting initial points for the user points of the user account; when obtaining the publication submission information of the user account, judging whether the user points are greater than the points deducted for the published content, and if so, deducting points from the user points of the user account, and publishing the published content data corresponding to the publication submission information to the platform; obtaining the published content data, inputting the published content data into a scoring model for scoring, and obtaining scoring data; using the scoring data as a coefficient, combining and calculating the scoring data with the number of views of the published content data and the number of likes of the published content data to obtain the current points; and adding the current points to the user points of the user account.

[0009] It can be seen from the above scheme that when a user registers an account, he or she will get a certain number of initial points. When a user publishes content on the technical content platform, the user points of the user account will be deducted, and the number of points deducted is the points deducted for the published content. Users can obtain points through the content they publish, and the points obtained by users for publishing content data are obtained by scoring the content and calculating the current points based on the score data combined with the number of views and likes. The higher the quality of the published content data, the higher the user points. Users can obtain points by publishing content data and publish the next content data. If the quality of the published content data is too low, the points obtained are too low. Since points need to be deducted for publishing content, it will result in the inability to publish content on the platform in the future, thereby suppressing the publication of low-quality content on the platform.

[0010] In a further solution, the step of inputting the published content data into the scoring model for scoring includes: cleaning the published content data; performing quality inspection on the published content data; classifying the published content data according to the quality inspection results, and determining the scoring data according to the classification results.

[0011] It can be seen that the scoring model performs quality inspection on the published content data, thereby classifying the published content data, and obtaining scoring data for calculating points.

[0012] In a further scheme, the step of performing quality inspection on the published content data includes: extracting key words from the published content data; inputting the published content data into a natural language model for technical scoring to obtain a technical score; performing similarity inspection on the published content data to obtain a similarity score; performing heat analysis on the key words to obtain a heat score; performing frequency search based on the key words to obtain a scarcity score; adding the technical score, similarity score, heat score, and scarcity score to obtain a total score; and classifying the published content data based on the quality inspection results includes: classifying the published content data based on the total score.

[0013] It can be seen that by performing similarity detection, heat analysis and keyword frequency search on the published content data, it is possible to determine whether the quality of the published content data is high, thereby classifying the published content data.

[0014] In a further scheme, before the scoring data is combined with the number of views of the published content data and the number of likes of the published content data for calculation using the scoring data as a coefficient, the following is also performed: determining whether the time interval between the current time and the publishing time of the published content data is greater than a first preset time; if the time interval is not greater than the first preset time, further determining whether the current time is the points calculation time; if the current time is the points calculation time, calculating the current points.

[0015] It can be seen that setting the first preset time limits the integral calculation time to a certain time, so that the integral cannot continue to grow. By setting the integral calculation time, the current integral can be calculated within the integral calculation time.

[0016] In a further solution, if the time interval is greater than the first preset time, the current integral is no longer calculated.

[0017] It can be seen that the calculation time of the integral is limited to a certain time by the first preset time, so that the integral cannot continue to grow.

[0018] In a further scheme, before adding the current points to the user account, the following is also performed: determining whether the sum of multiple current points of published content data is greater than the upper limit points; if so, limiting the user points obtained by the user account for the published content data to the upper limit points; if the sum of multiple current points of published content data is not greater than the upper limit points, continuing to calculate the current points.

[0019] It can be seen from this that by setting the upper limit integral, the integral has an upper limit.

[0020] In a further solution, the upper limit score is obtained by querying the rating data.

[0021] It can be seen from this that by setting an upper limit on the points through the scoring data, higher-quality published content data can obtain higher points.

[0022] In a further solution, after the initial points are assigned to the user account, the following steps are further performed: obtaining user question request information and deducting points from the user account.

[0023] It can be seen that points can also be used by users to ask questions on the platform.

[0024] In order to achieve the second purpose, the platform management device provided by the present invention includes a processor and a memory, the memory stores a computer program, and when the computer program is executed by the processor, the account management method of the above-mentioned platform is implemented.

[0025] In order to achieve the third purpose, the present invention provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed, the account management method of the above-mentioned platform is implemented. BRIEF DESCRIPTION OF THE DRAWINGS

[0026] Figure 1 It is a flow chart of an embodiment of the account management method of the platform of the present invention.

[0027] The present invention is further described below in conjunction with the accompanying drawings and embodiments. DETAILED DESCRIPTION

[0028] The account management method of the platform provided by the present invention sets initial points on the user account of the platform of the present invention, and when receiving the user's content data submission information, the user points of the user account are deducted at the same time. After the user publishes the content data, the published content data is input into the scoring model to obtain the scoring data, and the current points are calculated by combining the scoring data, the number of likes and the number of views. Since the present invention first deducts points and then calculates points, the user points of the user account that publishes low-quality content data are reduced, thereby inhibiting users from publishing low-quality content.

[0029] See also Figure 1 The platform account management method of this embodiment is implemented by a platform management device, which can be set on a server. The platform management device communicates with the user's smart device through a communication module. First, step S1 is executed to obtain user registration information and set initial points for the user points of the user account. When the user registers, the user registration information is obtained, the user account is set, and the initial points are set for the user points of the user account. The user can use the points to publish content data on the platform.

[0030] After setting the initial points for the user points of the user account, the user can publish content data on the platform. When the user finishes editing the published content data and presses the submit button on the user's smart device, the platform device executes step S2 to obtain the published submission information of the user account and determine whether the user points are greater than the points deducted for publishing the content. If the user points are greater than the points deducted for publishing the content, step S3 is executed to deduct points from the user points and publish the published content data corresponding to the published submission information to the platform. The points deducted from the user points are the points deducted for publishing the content. Only when the user points are greater than the points deducted for publishing the content can the user publish content data on the platform. If the user points are less than the points deducted for publishing the content, step S7 is executed to prohibit the publication of the published content data.

[0031] After publishing the published content data to the platform, step S4 is executed to obtain the published content data of the user account, input the published content data into the scoring model for scoring, and obtain scoring data. The step of inputting the published content data into the scoring model for scoring includes: cleaning the published content data to remove duplicate and invalid data; performing quality inspection on the published content data; and classifying the published content data according to the quality inspection results.

[0032] Among them, in the quality inspection of the published content data, the key words of the published content data are first extracted through the language model, and then the published content data is input into the natural language model for technical scoring. The natural language model can analyze the published content data from the perspective of domain professionalism to determine whether the terms of the published content data meet the domain standards, whether the published content data covers multiple aspects or angles of the relevant fields, whether the data cited by the published content data is accurate, whether the logical structure of the published content data is clear, and other standards to perform technical scoring on the published content data and obtain a technical score. After the published content data is input into the natural language model for technical scoring, the duplicate checking tool is used to perform similarity detection on the published content data to detect the originality of the published content data and obtain a similarity score; after the duplicate checking tool is used to perform similarity detection on the published content data, the topic heat analysis technology is used to analyze the key words to detect the heat of the published content data and obtain a heat score, wherein the topic heat analysis technology can be Google Trends technology. After analyzing the keywords using the topic heat analysis technology, a similar content query is performed on the published content data on the platform of the present invention to check whether there is similar content published on the platform of this embodiment. If so, the frequency of similar content published on the platform is calculated to obtain a scarcity score. After performing a similar content frequency query on the published content data on the platform of the present invention, a regular expression or other machine learning model is used to detect the promotional information of the article to obtain a no-promotion score.

[0033] After quality inspection of the published content data, statistics are performed based on the result data obtained from each quality inspection, that is, the technical score, similarity score, popularity score, scarcity score and non-promotion score are added together to obtain the total score. The published content data is then classified using the classification model based on the total score, and the scoring data is determined based on the classification results. The classification results have four scoring levels A, B, C, and D. Each scoring level corresponds to a different score interval. The score interval of the scoring level corresponding to the total score is queried to obtain the scoring data. Among them, the scoring data is set to Q, and each scoring level corresponds to a scoring data. The scoring data Q can be set to 4, 2, 1, and 0 according to the scoring level. Among them, the scoring data Q of the scoring level A is 4, the scoring data Q of the scoring level B is 2, the scoring data Q of the scoring level C is 1, and the scoring data Q of the scoring level D is 0.

[0034] After obtaining the scoring data, execute step S5, using the scoring data as a coefficient, and combine the scoring data with the number of views of the published content data and the number of likes of the published content data to obtain the current score. Wherein, the number of views of the published content data is u, and the number of likes of the published content data is l, then the current score is . Where k is a coefficient. When users publish content data, they can mark the published content data as original, translated, or reprinted. When the published content data is original, k is 1, when the published content data is translated, k is 0.6, and when the published content data is translated, k is 0.2. For example, an original article with a rating of A, 3 likes, and 50 visits on the same day can get a current score of .

[0035] In the step of combining and calculating the rating data with the views of the published content data and the number of likes of the published content data, it is also determined whether the time interval between the current time and the publishing time of the published content data is greater than the first preset time; if the time interval is less than the first preset time, it is further determined whether the time interval is the points calculation time, and if the current time is the points calculation time, the current points are calculated. The first preset time can be set to 60 days, and the points calculation time can be set to midnight every day. When calculating the current points, the views of the published content data only check the views of the published content data on that day, and the likes of the published content data check the likes of the published content data within five days.

[0036] After obtaining the current points, execute step S6 to add the current points to the user points of the user account. Before adding the current points to the user points of the user account, it is also determined whether the sum of the multiple current points of the published content data is greater than the upper limit points. If the sum of the multiple current points of the published content data is greater than the upper limit points, the user points of the published content data obtained by the user account are limited to the upper limit points. If the sum of the multiple current points of the published content data is greater than the upper limit points, the current points are added to the user account. Among them, the upper limit points are obtained by querying the rating data, that is, the upper limit points can be obtained by querying the rating level. The upper limit points for the rating level A are 800, the upper limit points for the rating level B are 400, and the upper limit points for the rating level C are 200. If the sum of the multiple current points of the published content data is less than the current points, the current points are added to the user points of the user account.

[0037] After adding the current points to the user points of the user account, the user can use the user points to publish content data and can also publish question request information. The platform management device can obtain the user question request information and deduct points from the user points of the user account.

[0038] By deducting the user points while obtaining the publishing request information of the user account, scoring the user's published content data, and calculating the current points based on the scoring data, the number of views, and the number of likes, the user points of the user account are increased. The higher the quality of the published content data, the higher the user points of the user account, and the user has extra points to publish the next content data. If the quality of the published content data is too low, the points obtained when calculating the current points are also too low. Since the user points need to be deducted when publishing the content data, the user points of the user account will become less and less, resulting in the inability to publish content on the platform in the future, thereby suppressing the publication of low-quality content.

[0039] Platform management device embodiment: The platform management device of this embodiment is set on the server, and the platform management device can be connected to the user's smart device through a communication module, wherein the platform management device includes a processor and a memory, the memory stores a computer program, and when the processor executes the computer program, the account management method embodiment of the above platform is implemented.

[0040] The platform management device may include but is not limited to a processor and a memory. Those skilled in the art will appreciate that the platform management device may include more or fewer components, or a combination of certain components, or different components, for example, the platform management device may also include input and output devices, network access devices, buses, etc.

[0041] Computer readable storage medium embodiment: The platform account management method in the platform management device described in the above embodiment can be stored in a computer readable storage medium in the form of a computer program. When the computer program is executed by the processor, the steps of the platform account management method embodiment in the above computer device can be completed. The computer readable medium can be a computer readable signal medium or a computer readable storage medium. The computer readable storage medium can be, for example, but not limited to: an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device or device, or any combination of the above. More specific examples of computer readable storage media (a non-exhaustive list) include: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above.

[0042] The above are only preferred embodiments of the present invention, but the design concept of the invention is not limited thereto. Without departing from the concept of the present invention, more other equivalent embodiments may be included. It is possible for those skilled in the art to make various obvious changes, readjustments and substitutions without departing from the protection scope of the present invention.

Claims

1. The platform account management method is characterized by: The method includes: Obtain user registration information and set initial points for the user account; When obtaining the published submission information of the user account, determine whether the user points are greater than the points deducted for publishing content, and if so, deduct the points from the user account and publish the content data corresponding to the published submission information to the platform; Acquire the published content data, input the published content data into a scoring model for scoring, and obtain scoring data; Taking the rating data as a coefficient, the rating data is combined and calculated with the number of views of the published content data and the number of likes of the published content data to obtain the current score; The current points are added to the user points of the user account.

2. The platform account management method according to claim 1, characterized in that: The step of inputting the published content data into a scoring model for scoring comprises: Cleaning the published content data; Performing quality inspection on the published content data; The published content data is classified according to the quality detection result, and the rating data is determined according to the classification result.

3. The platform account management method according to claim 2, characterized in that: The step of performing quality detection on the published content data includes: Extracting key words from the published content data; Inputting the published content data into a natural language model for technical scoring to obtain a technical score; Performing similarity detection on the published content data to obtain a similarity score; Performing heat analysis on the key words to obtain heat scores; Perform frequency search based on the key words to obtain a scarcity score; Add the technical score, similarity score, popularity score, and scarcity score to get the total score; Classifying the published content data according to the quality detection result includes: classifying the published content data according to the total score.

4. The platform account management method according to claim 1, characterized in that: Before combining and calculating the score data with the number of views of the published content data and the number of likes of the published content data using the score data as a coefficient, the following is further performed: Determine whether the time interval between the current time and the release time of the release content data is greater than a first preset time; If the time interval is not greater than the first preset time, it is further determined whether the current time is the integral calculation time; if the current time is the integral calculation time, the current integral is calculated.

5. The platform account management method according to claim 4, characterized in that: If the time interval is greater than the first preset time, the current integral is no longer calculated.

6. The platform account management method according to any one of claims 1 to 5, characterized in that: Before adding the current points to the user account, further execute: Determine whether the sum of the multiple current points of the published content data is greater than the upper limit points, and if so, limit the user points of the published content data obtained by the user account to the upper limit points; If the sum of multiple current points of the published content data is not greater than the upper limit point, continue to calculate the current point.

7. The platform account management method according to claim 6, characterized in that: The upper limit score is obtained by querying the scoring data.

8. The platform account management method according to any one of claims 1 to 5, characterized in that: After assigning initial points to the user account, also execute: Obtain user question request information and deduct points from the user account.

9. The platform management device is characterized in that: The method comprises a processor and a memory, wherein the memory stores a computer program, and when the computer program is executed by the processor, the account management method of the platform described in any one of claims 1 to 8 is implemented.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed, the account management method of the platform described in any one of claims 1 to 8 is implemented.

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