CN112702631A - Operation management system and method for network training - Google Patents
Operation management system and method for network training Download PDFInfo
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- CN112702631A CN112702631A CN202011367484.5A CN202011367484A CN112702631A CN 112702631 A CN112702631 A CN 112702631A CN 202011367484 A CN202011367484 A CN 202011367484A CN 112702631 A CN112702631 A CN 112702631A
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- 238000012549 training Methods 0.000 title claims abstract description 6
- 238000000034 method Methods 0.000 title abstract description 6
- 238000004458 analytical method Methods 0.000 claims abstract description 17
- 238000007726 management method Methods 0.000 claims description 24
- 238000012217 deletion Methods 0.000 claims description 4
- 230000037430 deletion Effects 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 3
- 238000007635 classification algorithm Methods 0.000 claims description 3
- 238000004891 communication Methods 0.000 claims description 3
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- 238000013486 operation strategy Methods 0.000 abstract description 6
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
- H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/47—End-user applications
- H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
- H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting
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Abstract
The invention discloses an operation management system and method for network training, wherein the system management system comprises a first statistical module, a second statistical module, a judgment module, a prediction module, an analysis module and a recommendation module, live broadcast records and user watching records of a main broadcast are respectively counted by the first statistical module and the second statistical module, live broadcast preference and popularity of the main broadcast of audience users are judged by the judgment module and the analysis module, a first main broadcast is screened out, and finally, a recommendation module is used for recommending products to the live broadcast watching users according to categories and recommending the first main broadcast associated with the products according to the live broadcast preference, the live broadcast watching records and the live broadcast paying records of the live broadcast watching users. The invention can push the anchor of the product according to the product preferred by each type of user, and formulate the operation strategy matched with different types of users, thereby facilitating the promotion of products and services and improving the transaction rate.
Description
Technical Field
The invention belongs to the technical field of internet management, and relates to an operation management system and method for network training.
Background
In recent years, with the rapid development of computer network technology, live webcasting becomes an emerging social networking mode. The anchor in the network live broadcast platform can use tools such as a camera and the like to carry out video live broadcast; the viewer can select a favorite anchor to enter a live channel of the anchor for watching.
For a live broadcast platform, the most important users include a main broadcast user and an audience user, both the main broadcast and the audience may run off due to some reasons, when the main broadcast runs off, the live broadcast platform wants to know as early as possible how many users will be affected or taken away after the main broadcast leaves, based on the starting point, the live broadcast platform needs to know the core degree of the users more deeply, needs to know the watching preference of the users, cultivates the watching interest of the users, expands the interest types of the users, leads the contact between the users and the live broadcast platform to be more close and not easy to run off, therefore, the users need to be classified, and corresponding products concerned by the audience users can be obtained by matching the popularity degree of the main broadcast, the contact tightness is improved, the users are classified only from the main broadcast and the live broadcast types watched by the users, the real preference of the users cannot be reflected in detail, the corresponding matching operation strategy cannot be made, and whether the user is lost due to the leaving of the anchor can not be judged well, and a good preventive measure can not be made, and the influence is caused by the fact that the division of the current live broadcast platform for the user is not careful enough, so that a method for better dividing the live broadcast platform user is needed.
Disclosure of Invention
The invention aims to provide an operation management system based on network live broadcast, which can make operation strategies matched with different types of users.
The invention is realized by the following technical scheme: an operation management system based on network living broadcast comprises
The first statistical module is used for acquiring the identification information of the anchor in the live broadcast platform, the live broadcast product information and the historical live broadcast data;
the second statistical module is used for acquiring live broadcast watching records and live broadcast payment records of a live broadcast watching user in a preset historical time period;
the judging module is connected with the second counting module and is used for judging whether the live broadcast watching user is a target marketing user or not according to the live broadcast watching record and the live broadcast payment record of the live broadcast watching user in a preset historical time period;
the prediction module is connected with the judgment module and used for predicting the live broadcast preference of the live broadcast watching user according to the pre-acquired personal information of the live broadcast watching user, the live broadcast watching record and the live broadcast payment record when the live broadcast watching user is judged to be the target marketing user;
the analysis module is connected with the first statistic module and used for classifying according to the live broadcast product information of the anchor in the live broadcast platform and screening according to historical live broadcast data of the anchor associated with each type of product, wherein the anchor with the highest historical live broadcast data is screened out as a first anchor;
and the recommending module is connected with the analyzing module and the predicting module and used for recommending products to the live broadcast watching user according to categories and recommending a first anchor associated with the products according to the live broadcast preference, the live broadcast watching record and the live broadcast payment record of the live broadcast watching user.
Preferably, the analysis module comprises a collecting unit for performing statistical collection on the historical live broadcast data;
the comparison unit is used for comparing the acquired data of the acquisition unit with each index in a preset anchor standard so as to judge whether the acquired data reach the standard, if the acquired data reach the standard, the anchor is determined to be a first anchor, and if the acquired data do not reach the standard, the anchor is determined not to be the first anchor;
the extracting unit is used for extracting the characteristic data of the first anchor based on the identification information of the first anchor and the historical live broadcast data of the first anchor;
and the classification unit is used for classifying the first anchor by utilizing a preset classification algorithm according to the characteristic data of the first anchor.
Preferably, the feature data of the first anchor comprises live product information.
Preferably, the analysis module further includes a deletion unit block, the deletion unit is connected to the comparison unit, and the comparison unit deletes the anchor information of the anchor from the database of the first statistical module if the comparison unit judges that the collected data is not matched with the preset anchor personal information.
Preferably, the analysis module further includes a storage unit, the storage unit is connected to the comparison unit, and the comparison unit adds the personal information of the first anchor to the storage unit after determining that the anchor is the first anchor.
Preferably, the user data counted by the second counting module includes a transport layer protocol, a target IP address, a transmission rate, and a continuous communication duration.
Preferably, the judging module judges whether the user is a live broadcast watching user according to the mirror image data packet of the user data and the user identifier corresponding to the user data.
Preferably, the judging module is connected with a generation storage module, and is configured to generate a live broadcast watching record of the live broadcast watching user according to the mirror image data packet of the user data and store the live broadcast watching record of the live broadcast watching user when the user is judged to be the live broadcast watching user, where the live broadcast watching record includes live broadcast watching flow and live broadcast watching duration.
The invention also provides an operation management method based on network live broadcast, which comprises the operation management system, and the operation management method comprises the following steps:
firstly, acquiring identification information, live broadcast product information and historical live broadcast data of a main broadcast in a live broadcast platform through a first statistical module; acquiring a live broadcast watching record and a live broadcast payment record of a live broadcast watching user in a preset historical time period through a second statistical module;
then, a judging module is used for judging whether the live broadcast watching user is a target marketing user according to the record obtained by the second statistical module and predicting the live broadcast preference of the live broadcast watching user by using a predicting module; meanwhile, the anchor with the highest historical live broadcast data is selected as the first anchor according to the product category and the data acquired by the first statistic module through the analysis module, and then the first anchor with the corresponding product category is pushed through the recommendation module according to the live broadcast preference of the live broadcast watching user predicted by the prediction module.
The present invention also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the operation management method described above.
The invention has the following beneficial effects: the invention makes the operation strategy matched with different types of users, provides the operation strategy for corresponding audience users according to the popularity of the anchor, is convenient for popularizing products and services and improves the transaction rate.
In order to make the aforementioned and other objects, features and advantages of the invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a structural diagram of a background maintenance management system of an e-commerce platform in an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, an operation management system based on webcast includes a first statistics module, a second statistics module, a judgment module, a prediction module, an analysis module, and a recommendation module
The first statistical module is used for acquiring the identification information, the live broadcast product information and the historical live broadcast data of the anchor in the live broadcast platform;
the second statistical module is used for acquiring live broadcast watching records and live broadcast payment records of a live broadcast watching user in a preset historical time period;
the judging module is connected with the second counting module and is used for judging whether the live broadcast watching user is a target marketing user or not according to the live broadcast watching record and the live broadcast payment record of the live broadcast watching user in a preset historical time period;
the prediction module is connected with the judgment module and used for predicting the live broadcast preference of the live broadcast watching user according to the pre-acquired personal information of the live broadcast watching user, the live broadcast watching record and the live broadcast payment record when the live broadcast watching user is judged to be the target marketing user;
the analysis module is connected with the first statistic module and used for classifying according to the live broadcast product information of the anchor in the live broadcast platform and screening according to historical live broadcast data of the anchor associated with each type of product, and the anchor with the highest historical live broadcast data is the first anchor.
The analysis module comprises a collection unit, a comparison unit, an extraction unit and a classification unit, the collection unit is used for counting and collecting historical live broadcast data, the comparison unit is used for comparing the collected data of the collection unit with indexes in a preset anchor standard so as to judge whether the collected data reach the standard or not, if the collected data reach the standard, the anchor is determined to be a first anchor, and if the collected data do not reach the standard, the anchor is determined not to be the first anchor.
In addition, the analysis module further comprises a deleting unit block and a storage unit, the deleting unit is connected with the comparing unit, the comparing unit judges that the collected data are not matched with preset anchor personal information, the anchor information of the anchor is deleted from the database of the first statistical module, the storage unit is connected with the comparing unit, and after the comparing unit determines that the anchor is the first anchor, the personal information of the first anchor is added to the storage unit.
The extracting unit can extract the characteristic data of the first anchor based on the identification information of the first anchor and the historical live broadcast data of the first anchor; and the classification unit classifies the first anchor by using a preset classification algorithm according to the characteristic data of the first anchor.
Specifically, the feature data of first anchor includes live broadcast product information, the user data that second statistics module statistics was counted includes transport layer agreement, target IP address, transmission rate and continuous communication duration, the judgement module is connected with and generates storage module for when judging the user is for live broadcast viewing user's time, according to user data's mirror image data package generates live broadcast viewing record and storage live broadcast viewing user's live broadcast viewing record, live broadcast viewing record includes that the live broadcast watches flow and live broadcast viewing duration.
During operation, firstly, acquiring identification information, live broadcast product information and historical live broadcast data of a main broadcast in a live broadcast platform through a first statistical module; acquiring a live broadcast watching record and a live broadcast payment record of a live broadcast watching user in a preset historical time period through a second statistical module;
then, a judging module is used for judging whether the live broadcast watching user is a target marketing user according to the record obtained by the second statistical module and predicting the live broadcast preference of the live broadcast watching user by using a predicting module; meanwhile, the anchor with the highest historical live broadcast data is selected as the first anchor according to the product category and the data acquired by the first statistic module through the analysis module, and then the first anchor with the corresponding product category is pushed through the recommendation module according to the live broadcast preference of the live broadcast watching user predicted by the prediction module.
In another embodiment, the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the operation management method of the operation management system can be implemented, so that the popularity of the anchor can be determined according to the historical live broadcast record of the anchor, the anchor can be classified according to the main product categories promoted by the anchor with the popularity, meanwhile, the anchor is screened according to the product categories according to the live broadcast watching records of audience users, and then products preferred by each category of screened users are pushed to the anchor of the products, so that an operation strategy matched with different types of users is formulated, products and services are facilitated to be promoted, and the success rate is improved.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (9)
1. An operation management system for network training is characterized by comprising
The first statistical module is used for acquiring the identification information of the anchor in the live broadcast platform, the live broadcast product information and the historical live broadcast data;
the second statistical module is used for acquiring live broadcast watching records and live broadcast payment records of a live broadcast watching user in a preset historical time period;
the judging module is connected with the second counting module and is used for judging whether the live broadcast watching user is a target marketing user or not according to the live broadcast watching record and the live broadcast payment record of the live broadcast watching user in a preset historical time period;
the prediction module is connected with the judgment module and used for predicting the live broadcast preference of the live broadcast watching user according to the pre-acquired personal information of the live broadcast watching user, the live broadcast watching record and the live broadcast payment record when the live broadcast watching user is judged to be the target marketing user;
the analysis module is connected with the first statistic module and used for classifying according to the live broadcast product information of the anchor in the live broadcast platform and screening according to historical live broadcast data of the anchor associated with each type of product, wherein the anchor with the highest historical live broadcast data is screened out as a first anchor;
and the recommending module is connected with the analyzing module and the predicting module and used for recommending products to the live broadcast watching user according to categories and recommending a first anchor associated with the products according to the live broadcast preference, the live broadcast watching record and the live broadcast payment record of the live broadcast watching user.
2. The operations management system of claim 1, wherein the analysis module comprises
The acquisition unit is used for carrying out statistical acquisition on the historical live broadcast data;
the comparison unit is used for comparing the acquired data of the acquisition unit with each index in a preset anchor standard so as to judge whether the acquired data reach the standard, if the acquired data reach the standard, the anchor is determined to be a first anchor, and if the acquired data do not reach the standard, the anchor is determined not to be the first anchor;
the extracting unit is used for extracting the characteristic data of the first anchor based on the identification information of the first anchor and the historical live broadcast data of the first anchor;
and the classification unit is used for classifying the first anchor by utilizing a preset classification algorithm according to the characteristic data of the first anchor.
3. The operations management system of claim 2, wherein the feature data of the first anchor comprises live product information.
4. The operation management system according to claim 3, wherein the analysis module further includes a deletion unit, the deletion unit is connected to the comparison unit, and the comparison unit deletes anchor information of the anchor from the database of the first statistics module if the comparison unit determines that the collected data does not match preset anchor personal information.
5. The operation management system according to claim 3, wherein the analysis module further includes a storage unit, the storage unit is connected to the comparison unit, and the comparison unit adds the personal information of the first anchor to the storage unit after determining that the anchor is the first anchor.
6. The operation management system according to claim 1, wherein the user data counted by the second counting module includes a transport layer protocol, a target IP address, a transmission rate, and a continuous communication time period.
7. The operation management system according to claim 6, wherein the determining module determines whether the user is a live viewing user according to a mirror data packet of the user data and a user identifier corresponding to the user data.
8. The operation management system according to claim 6, wherein the determining module is connected to a generation and storage module, and configured to generate a live viewing record of the live viewing user according to the mirror image data packet of the user data and store the live viewing record of the live viewing user when the user is determined to be the live viewing user, where the live viewing record includes live viewing traffic and live viewing duration.
9. An operation management method for network training, comprising the operation management system according to any one of claims 1 to 8, the operation management method having the steps of:
firstly, acquiring identification information, live broadcast product information and historical live broadcast data of a main broadcast in a live broadcast platform through a first statistical module; acquiring a live broadcast watching record and a live broadcast payment record of a live broadcast watching user in a preset historical time period through a second statistical module; then, a judging module is used for judging whether the live broadcast watching user is a target marketing user according to the record obtained by the second statistical module and predicting the live broadcast preference of the live broadcast watching user by using a predicting module; meanwhile, the anchor with the highest historical live broadcast data is selected as the first anchor according to the product category and the data acquired by the first statistic module through the analysis module, and then the first anchor with the corresponding product category is pushed through the recommendation module according to the live broadcast preference of the live broadcast watching user predicted by the prediction module.
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| CN116471449A (en) * | 2023-06-20 | 2023-07-21 | 杭州电鲸网络科技有限公司 | Live broadcast behavior detection method based on big data analysis |
| CN117314591A (en) * | 2023-11-29 | 2023-12-29 | 武汉商学院 | Matching recommendation method for live agricultural product sales anchor |
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| CN117314591B (en) * | 2023-11-29 | 2024-02-20 | 武汉商学院 | Matching recommendation method for live agricultural product sales anchor |
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