CN115250369A - Intelligent video pushing method and system based on online education - Google Patents
Intelligent video pushing method and system based on online education Download PDFInfo
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- CN115250369A CN115250369A CN202110970261.6A CN202110970261A CN115250369A CN 115250369 A CN115250369 A CN 115250369A CN 202110970261 A CN202110970261 A CN 202110970261A CN 115250369 A CN115250369 A CN 115250369A
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- 238000000034 method Methods 0.000 title claims abstract description 35
- 230000008569 process Effects 0.000 claims description 6
- 238000004364 calculation method Methods 0.000 claims description 4
- 210000001503 joint Anatomy 0.000 claims description 4
- 238000013475 authorization Methods 0.000 claims description 3
- 238000001914 filtration Methods 0.000 claims description 3
- 238000011084 recovery Methods 0.000 claims description 2
- 230000002776 aggregation Effects 0.000 description 6
- 238000004220 aggregation Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
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- 238000005516 engineering process Methods 0.000 description 1
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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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- G—PHYSICS
- G09—EDUCATION; CRYPTOGRAPHY; DISPLAY; ADVERTISING; SEALS
- G09B—EDUCATIONAL OR DEMONSTRATION APPLIANCES; APPLIANCES FOR TEACHING, OR COMMUNICATING WITH, THE BLIND, DEAF OR MUTE; MODELS; PLANETARIA; GLOBES; MAPS; DIAGRAMS
- G09B5/00—Electrically-operated educational appliances
- G09B5/08—Electrically-operated educational appliances providing for individual presentation of information to a plurality of student stations
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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
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
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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
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
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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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- Business, Economics & Management (AREA)
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- Educational Administration (AREA)
- Educational Technology (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Electrically Operated Instructional Devices (AREA)
Abstract
The invention discloses an intelligent video pushing method based on online education, which comprises the following steps: a, step a: the marking module marks a first keyword and a second keyword for the education video and classifies the education video according to the first keyword; step b: and the target user watches the education video through the user terminal, acquires the target video through the first keyword mark and watches the video of the target video. The invention provides an intelligent video pushing method based on online education, through the arrangement of the method, a related video collection can be pushed according to the watching habits of users, the users can conveniently learn videos in the video collection, and the learning efficiency is improved; the invention also provides an online education-based intelligent video pushing system, and support is provided for the online education-based intelligent video pushing method through the system.
Description
Technical Field
The invention belongs to the technical field of information management, and particularly relates to an intelligent video pushing method and system based on online education.
Background
With the rapid development of information technology, people can independently learn various kinds of knowledge through a network. Educational resources are mostly displayed in the forms of documents, pictures, videos and the like, and in the display modes, the educational videos become the education resource display form with the fastest development due to the advantage of simple and visual display, so that the resource amount of the educational videos is rapidly increased, and convenience is provided for learning of users. However, the educational video has some disadvantages in the rapid development, for example, the existing educational resources are complicated and many, and the learner needs to spend a lot of time to find the resources which are useful for himself, which reduces the learning efficiency.
Disclosure of Invention
The invention aims to overcome the problems in the prior art and provides an intelligent video pushing method based on online education, through the method, a related video collection can be pushed according to the watching habits of a user, the user can conveniently learn videos in the video collection, and the learning efficiency is improved; the invention also provides an online education-based intelligent video pushing system, and through the arrangement of the system, support is provided for the online education-based intelligent video pushing method.
In order to achieve the technical purpose and achieve the technical effect, the invention is realized by the following technical scheme:
an intelligent video pushing method based on online education comprises the following steps:
step a: the marking module marks a first keyword and a second keyword for the education video and classifies the education video according to the first keyword;
step b: the target user watches the education video through the user terminal, obtains the target video through the first keyword mark, and watches the video of the target video;
step c: in the video watching process, a habit acquisition module acquires watching habit information of a target user, and acquires a pushed video set according to the watching habit information and a first keyword mark and a second keyword mark of a target video;
step d: and the video pushing module is used for releasing the videos in the pushed video set to the target user.
Further, the first keyword tag comprises a video name, a video category and video information.
Further, the video information includes video duration, video publisher information, and video watching times.
Further, the second keyword tag includes a video content keyword and a video rating keyword.
Further, the viewing habit information comprises video pause duration, video play duration, video fast forward times and fast forward multiplying power and video alignment duration.
An intelligent video pushing system based on online education comprises a video main database, a website publishing module, a marking module, a habit obtaining module, a video gathering module, a video pushing module and a personal user module, wherein the video main database is in butt joint with the website publishing module and the video gathering module through a network, the website publishing module is in butt joint with the marking module, the video pushing module and the personal user module through the network, and the video pushing module is in butt joint with the marking module, the habit obtaining module, the video gathering module and the personal user module through the network;
the video master database is used for storing educational videos and personal information of individual users;
the website publishing module is used for classifying and playing education videos;
the marking module is used for marking the education video, acquiring a first keyword mark and a second keyword mark of the education video, forming a label stamp by the first keyword mark and the second keyword mark and marking the label stamp to the education video;
the habit acquisition module is used for acquiring the authorization of the personal user module, acquiring the watching habit information of the personal user, generating a key label from the watching habit information, and marking the key label into the personal information of the personal user;
the video collection module is used for performing integrated calculation on the first keyword mark, the second keyword mark and the personal information with the key label mark, acquiring a pushed video collection of a personal user, and transmitting the pushed video collection to the website publishing module;
the video pushing module is used for receiving a pushed video set transmitted by the website publishing module and pushing the pushed video set to a corresponding individual user, and an external pushing link interface is arranged in the video pushing module and used for being connected with an external pushing link to push videos of the user;
the personal user module is used for a personal user to log in the website disclosing module to carry out video retrieval, retrieve required education videos and watch the education videos, and is also used for providing personal information for the website disclosing module, the website disclosing module stores the personal information into the video main database, and the personal user module also has a one-key restoring function and is used for eliminating the personal information with key labels.
Further, the operation process of the integration calculation is as follows: the video gathering module receives a first keyword mark and a second keyword mark from the marking module and personal information with key labels from the habit obtaining module, and the video gathering module calculates the similarity among a plurality of videos by using a collaborative filtering algorithm so as to obtain a plurality of similar videos, packs the similar videos and obtains a push video set of a personal user.
The invention has the beneficial effects that:
1. the invention provides an intelligent video pushing method based on online education, through the arrangement of the method, a related video collection can be pushed according to the watching habits of users, the users can conveniently learn videos in the video collection, and the learning efficiency is improved.
2. The invention also provides an online education-based intelligent video pushing system, and through the arrangement of the system, support is provided for the online education-based intelligent video pushing method.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
FIG. 1 is a flow chart of an intelligent video pushing method based on online education provided by the invention;
FIG. 2 is a block diagram of an intelligent video push system based on online education provided by the present invention;
FIG. 3 is a flow chart of the integrated computation provided by 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.
Example 1
An intelligent video pushing method based on online education as shown in fig. 1, the method includes the following steps:
step a: the marking module marks a first keyword and a second keyword for the education video and classifies the education video according to the first keyword;
step b: the target user watches the education video through the user terminal, obtains the target video through the first keyword mark, and watches the video of the target video;
step c: in the video watching process, a habit acquisition module acquires watching habit information of a target user, and acquires a pushed video set according to the watching habit information and a first keyword mark and a second keyword mark of a target video;
step d: the video pushing module is used for releasing videos in the pushed video set to a target user;
the first keyword mark comprises a video name, a video category and video information;
the video information comprises video duration, video publisher information and video watching times;
the second keyword mark comprises a video content keyword and a video evaluation keyword;
watching habit information video pause duration, video playing duration, video fast forward times and rates and video alignment duration.
According to the method, the related video collection can be pushed according to the watching habits of the user, the user can conveniently learn the videos in the video collection, and the learning efficiency is improved.
Example 2
As shown in fig. 2 to 3, an intelligent video push system based on online education includes a video master database, a website publishing module, a tagging module, a habit acquisition module, a video aggregation module, a video push module, and a personal user module, wherein the video master database is connected to the website publishing module and the video aggregation module via a network, the website publishing module is connected to the tagging module, the video push module and the personal user module via a network, and the video push module is connected to the tagging module, the habit acquisition module, the video aggregation module and the personal user module via a network;
the video master database is used for storing educational videos and personal information of individual users;
the website public module is used for classifying and playing the education videos;
the marking module is used for marking the education video, acquiring a first keyword mark and a second keyword mark of the education video, forming a tag stamp by the first keyword mark and the second keyword mark and marking the tag stamp to the education video;
the habit acquisition module is used for acquiring the authorization of the personal user module, acquiring the watching habit information of the personal user, generating a key label from the watching habit information, and marking the key label into the personal information of the personal user;
the video collection module is used for integrating and calculating the first keyword mark, the second keyword mark and the personal information with the key label mark, acquiring a pushed video collection of a personal user and transmitting the pushed video collection to the website publishing module;
the operation process of the integrated calculation is as follows: the video aggregation module receives a first keyword mark and a second keyword mark from the marking module and personal information with key labels from the habit acquisition module, and the video aggregation module calculates the similarity among a plurality of videos by using a collaborative filtering algorithm so as to acquire a plurality of similar videos, packs the plurality of similar videos and acquires a push video aggregation of a personal user;
the video pushing module is used for receiving a pushed video set transmitted by the website publishing module and pushing the pushed video set to a corresponding personal user, and an external pushing link interface is arranged in the video pushing module and used for being connected with an external pushing link to push videos of the user;
the personal user module is used for logging in the website publishing module by a personal user to search videos, searching required education videos and watching the education videos, and is also used for providing personal information for the website publishing module, the website publishing module stores the personal information into a video main database, and the personal user module also has a one-key recovery function and is used for eliminating the personal information with key labels.
The embodiment provides an intelligent video pushing system based on online education, and through the setting of the system, support is provided for an intelligent video pushing method based on online education.
The invention provides an online education-based intelligent video pushing method and system, through the setting of the online education-based intelligent video pushing method, personalized education video resource pushing is provided for a user, the user can conveniently search learning resources, so that the user can conveniently learn and the learning efficiency is improved; by means of the arrangement of the online education intelligent video pushing system, support is provided for the use of the online education intelligent video pushing method.
In the description herein, references to the description of "one embodiment," "an example," "a specific example" or the like are intended to mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing shows and describes the general principles, essential features, and advantages of the invention. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed.
Claims (7)
1. An intelligent video pushing method based on online education is characterized in that: the method comprises the following steps:
step a: the marking module marks a first keyword and a second keyword for the education video and classifies the education video according to the first keyword;
step b: a target user watches the education video through the user terminal, obtains a target video through the first keyword mark, and watches the target video;
step c: in the video watching process, a habit acquisition module acquires watching habit information of a target user, and acquires a pushed video set according to the watching habit information and a first keyword mark and a second keyword mark of a target video;
step d: and the video pushing module is used for releasing the videos in the pushed video set to the target user.
2. The intelligent video pushing method based on online education as claimed in claim 1, wherein: the first keyword tag comprises a video name, a video category and video information.
3. The intelligent video pushing method based on online education as claimed in claim 1, wherein: the video information comprises video duration, video publisher information and video watching times.
4. The intelligent video pushing method based on online education according to claim 1, wherein the method comprises the following steps: the second keyword tag includes a video content keyword and a video rating keyword.
5. The intelligent video pushing method based on online education as claimed in claim 1, wherein: and the watching habit information comprises video pause time length, video playing time length, video fast forward times and fast forward multiplying power and video alignment time length.
6. The utility model provides an intelligent video push system based on online education which characterized in that: the system comprises a video master database, a website publishing module, a marking module, a habit obtaining module, a video gathering module, a video pushing module and a personal user module, wherein the video master database is in butt joint with the website publishing module and the video gathering module through a network;
the video master database is used for storing educational videos and personal information of individual users;
the website publishing module is used for classifying and playing education videos;
the marking module is used for marking the education video, acquiring a first keyword mark and a second keyword mark of the education video, forming a label stamp by the first keyword mark and the second keyword mark and marking the label stamp to the education video;
the habit acquisition module is used for acquiring the authorization of the personal user module, acquiring the watching habit information of the personal user, generating a key label from the watching habit information, and marking the key label into the personal information of the personal user;
the video collection module is used for integrating and calculating the first keyword mark, the second keyword mark and the personal information with the key label mark, acquiring a pushed video collection of a personal user and transmitting the pushed video collection to the website publishing module;
the video pushing module is used for receiving a pushed video set transmitted by the website publishing module and pushing the pushed video set to a corresponding individual user, and an external pushing link interface is arranged in the video pushing module and used for being connected with an external pushing link to push videos of the user;
the personal user module is used for logging in the website publishing module by a personal user to perform video retrieval, retrieving a required education video and watching the education video, and is also used for providing personal information for the website publishing module, the website publishing module stores the personal information into a video main database, and the personal user module also has a one-key recovery function and is used for eliminating the personal information with key labels.
7. The intelligent video push system based on online education of claim 5, wherein: the operation process of the integrated calculation is as follows: the video gathering module receives the first keyword mark and the second keyword mark from the marking module and the personal information with the key labels from the habit acquisition module, and the video gathering module calculates the similarity among the videos by using a collaborative filtering algorithm so as to acquire a plurality of similar videos, packs the similar videos and acquires a push video set of a personal user.
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| CN202110970261.6A CN115250369A (en) | 2021-08-23 | 2021-08-23 | Intelligent video pushing method and system based on online education |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| US20160225023A1 (en) * | 2013-09-26 | 2016-08-04 | Technicolor (China) Technology Co., Ltd. | Method and apparatus for providing targeted videos to user |
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| CN108376166A (en) * | 2018-02-24 | 2018-08-07 | 宁夏玲杰科技有限公司 | Intelligence learning method, apparatus and electronic equipment |
| CN109284417A (en) * | 2018-08-27 | 2019-01-29 | 广州飞磨科技有限公司 | Video pushing method, device, computer equipment and storage medium |
| CN111490929A (en) * | 2020-03-27 | 2020-08-04 | 威比网络科技(上海)有限公司 | Video clip pushing method and device, electronic equipment and storage medium |
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- 2021-08-23 CN CN202110970261.6A patent/CN115250369A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20160225023A1 (en) * | 2013-09-26 | 2016-08-04 | Technicolor (China) Technology Co., Ltd. | Method and apparatus for providing targeted videos to user |
| CN106960030A (en) * | 2017-03-21 | 2017-07-18 | 北京百度网讯科技有限公司 | Pushed information method and device based on artificial intelligence |
| CN108376166A (en) * | 2018-02-24 | 2018-08-07 | 宁夏玲杰科技有限公司 | Intelligence learning method, apparatus and electronic equipment |
| CN109284417A (en) * | 2018-08-27 | 2019-01-29 | 广州飞磨科技有限公司 | Video pushing method, device, computer equipment and storage medium |
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Application publication date: 20221028 |