CN114286135A - New video recommendation traffic distribution method, system, device and medium - Google Patents
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Abstract
The invention discloses a method, a system, equipment and a medium for distributing new video recommendation flow, wherein the method comprises the following steps: determining a flow value of a new video by acquiring author historical data of the new video; setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video, and determining the online video; performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video; updating the flow value and extending the exposure validity period when the exposure value reaches the flow value within the exposure validity period; and when the exposure validity period reaches and the exposure value does not reach the flow value, stopping the associated distribution of the online video, and deleting the online video from the flow pool to be set as an offline video. The invention can continuously and adaptively adjust the flow value through the exposure value and the exposure valid period, and can be widely applied to the technical field of video recommendation.
Description
Technical Field
The invention relates to the technical field of video recommendation, in particular to a method, a system, equipment and a medium for distributing new video recommendation flow.
Background
With the continuous development of new media, short videos are also receiving more and more attention from the public. The traffic distribution mode of the short video has two modes, one is a decentralized mode of distributing traffic by using a platform, and the other is a decentralized mode of distributing traffic by using each node. The former is that after the user logs in the platform, the platform controls the user to browse the content; the latter is that the author of the video can distribute the content to the attention people, and as the private domain traffic grows, the corresponding video traffic also obtains a larger exposure. Most platforms adopt a mode of defining video quality based on indexes, grading and recommending in a grading mode. This requires hierarchical division of the traffic pool and different resource allocation for videos of different traffic classes, which may cause that resources for new video delivery need to be adjusted when new videos are recommended and distributed, and cannot adapt to traffic changes of the platform itself.
Disclosure of Invention
In view of this, embodiments of the present invention provide a method, a system, a device, and a medium for recommending traffic distribution for a new video, so as to implement simple and traffic-adaptive traffic distribution for a new video.
In one aspect, the invention provides a method for distributing recommended traffic of a new video, which comprises the following steps:
acquiring author historical data of a new video, and determining a flow value of the new video;
setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video, and determining the online video;
performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video;
updating the flow value and extending the exposure validity period when the exposure value reaches the flow value within the exposure validity period;
and when the exposure validity period reaches and the exposure value does not reach the flow value, stopping the associated distribution of the online video, and deleting the online video from the flow pool to be set as an offline video.
Optionally, the obtaining author history data of the new video and determining a flow value of the new video include:
acquiring author history data of the new video, wherein the author history data comprises the average exposure number of historical videos issued by authors;
determining the average exposure number as a flow value of the new video.
Optionally, the method further comprises:
when the author of the new video is a new author, the author history data is null;
and determining a preset value as the flow value of the new video.
Optionally, the performing associated distribution on the online video in a platform user and video associated manner to determine an exposure value of the online video includes:
and after a platform user logs in a platform, distributing the online video to the platform user according to the author concerned by the platform user and the preference of the video label, and determining the exposure value of the online video.
Optionally, the updating the flow value and extending the exposure validity period includes:
and according to the proportion of the current exposure validity period to the release period, determining the updated flow value as the product of the current flow value and the proportion, and prolonging the exposure validity period.
Optionally, the method further comprises:
and recording the video which is set to be offline from the flow pool to the author history data.
Optionally, the method further comprises:
and detecting a flow value or an exposure valid period of a video which is set to be online in the flow pool through timing task detection.
On the other hand, the embodiment of the invention also discloses a new video recommendation flow distribution system, which comprises the following steps:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring author historical data of a new video and determining a flow value of the new video;
the second module is used for setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video and determining the online video;
the third module is used for performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video;
a fourth module for updating the flow value and extending the exposure validity period when the exposure value reaches the flow value within the exposure validity period;
and the fifth module is used for stopping the associated distribution of the online video and deleting the online video from the flow pool to be set as an offline when the exposure valid period reaches and the exposure value does not reach the flow value.
On the other hand, the embodiment of the invention also discloses an electronic device, which comprises a processor and a memory;
the memory is used for storing programs;
the processor executes the program to implement the method as described above.
On the other hand, the embodiment of the invention also discloses a computer readable storage medium, wherein the storage medium stores a program, and the program is executed by a processor to realize the method.
In another aspect, an embodiment of the present invention further discloses a computer program product or a computer program, where the computer program product or the computer program includes computer instructions, and the computer instructions are stored in a computer-readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and the computer instructions executed by the processor cause the computer device to perform the foregoing method.
Compared with the prior art, the invention adopting the technical scheme has the following technical effects: the method comprises the steps of determining a flow value of a new video by acquiring author historical data of the new video; setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video, and determining the online video; performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video; updating the flow value and extending the exposure validity period when the exposure value reaches the flow value within the exposure validity period; and when the exposure validity period reaches and the exposure value does not reach the flow value, stopping the associated distribution of the online video, and deleting the online video from the flow pool to be set as an offline video. The flow value can be continuously and adaptively adjusted through the exposure value and the exposure valid period, and the video flow value is adaptive to the platform flow through the platform user and video association mode, so that the design complexity of graded flow pushing is simplified, and the possibility of manual parameter adjustment is reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for distributing recommended traffic of a new video according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
Referring to fig. 1, an embodiment of the present invention provides a new video recommendation traffic distribution method, including:
s101, obtaining author historical data of a new video, and determining a flow value of the new video;
s102, setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video, and determining the online video;
s103, performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video;
s104, when the exposure value reaches the flow value in the exposure validity period, updating the flow value and prolonging the exposure validity period;
and S105, when the exposure validity period reaches and the exposure value does not reach the flow value, stopping the associated distribution of the online video, and deleting the online video from the flow pool to set the online video as an offline.
Further as a preferred embodiment, in the step S101, the obtaining author history data of the new video and determining a traffic value of the new video includes:
acquiring author history data of the new video, wherein the author history data comprises the average exposure number of historical videos issued by authors;
determining the average exposure number as a flow value of the new video.
When a video author publishes a new video on a platform, historical data of the video author is collected through a short video user data embedding technology or other data collection technologies, the collected data is used as author historical data and comprises historical videos published by the author and exposure of the historical videos, and the exposure of all the historical videos is averaged to obtain an average exposure value. The average exposure number is determined as the flow value of the new video, which is used to characterize the expected exposure value of the new video. The flow value of the new video is determined through the historical number of the author, the possibility of manually adjusting parameters is reduced, excessive concentration of partial resources caused by manual operation is avoided, mining of single video resources is facilitated, and exposure fairness of a video producer is guaranteed.
Further as a preferred embodiment, the method further comprises:
when the author of the new video is a new author, the author history data is null;
and determining a preset value as the flow value of the new video.
When the video author is a new author, the author history data is empty, a preset value can be set in the system as the flow value of the new video, and the preset value can be the historical video average exposure number of the platform.
Further as a preferred embodiment, in the step S103, the performing associated distribution on the online video in a manner that a platform user is associated with a video, and determining an exposure value of the online video includes:
and after a platform user logs in a platform, distributing the online video to the platform user according to the author concerned by the platform user and the preference of the video label, and determining the exposure value of the online video.
After the platform user logs in the platform, the platform recommends and distributes the online video of the concerned author to the platform user through the author concerned by the platform user, and the exposure value of the online video is increased by one. And meanwhile, the platform determines the video type with a large watching quantity of platform users as the video label preference according to the video watching data of the platform users, determines the video label according to the type of the online video, matches the video label of the online video with the video label preference of the platform users, distributes the online video to the platform users, and increases the exposure value of the online video by one. And the online video of the flow pool can be randomly sampled, the sampled video is randomly issued to the platform user, and the exposure value of the online video is increased.
Further preferably, in the step S104, the updating the flow value and the extending the exposure valid period includes:
and according to the proportion of the current exposure validity period to the release period, determining the updated flow value as the product of the current flow value and the proportion, and prolonging the exposure validity period.
When the exposure value of the online video reaches the flow value and the exposure validity period is not reached, determining the release period as the time from the release time of the online video to the time when the exposure value reaches the flow value. And dividing the exposure effective period and the release period which are set before the new video is online to obtain the proportion of the current exposure effective period and the release period, and multiplying the current flow value by the proportion to obtain the updated flow value. And the exposure validity period of the online video is prolonged, the online video is continuously associated and issued, the prolonging time can be set as the validity period of the current exposure period plus N days, and N is a positive integer.
Further as a preferred embodiment, the method further comprises:
and recording the video which is set to be offline from the flow pool to the author history data.
And when the video is deleted from the flow pool and set to be offline, recording the video into the author historical data.
Further as a preferred embodiment, the method further comprises:
and detecting a flow value or an exposure valid period of a video which is set to be online in the flow pool through timing task detection.
The embodiment of the invention controls the flow distribution of the online video through the flow value and the exposure validity period, so that the online video in the flow pool needs to be subjected to timing task detection, when the exposure value of the online video reaches the flow value, the online video is continuously distributed in a correlated manner, and when the exposure validity period of the online video reaches, the online video is deleted from the flow pool and is set as the offline video.
With reference to fig. 1, the process of the present invention specifically includes:
the embodiment of the invention determines the flow value of the new video through the author historical video average value of the new video, and sets an exposure validity period for the new video, wherein the exposure validity period can be set according to the actual situation, and the exposure validity period is set to be one month in the embodiment of the invention, and the new video is put into the flow to be on-line. And performing associated distribution on the online video through a video author concerned by the platform user and video preference, and calculating an exposure value of the online video according to the associated distribution times. When the platform flow is large, the exposure efficiency is accelerated, and the matched flow is triggered and detected; when the platform flow shrinks, the exposure efficiency is reduced, and the video exposure life cycle is finished, so that the video exposure amount is adapted to the platform. And when the exposure value of the online video reaches the flow value within the exposure validity period, updating the flow value according to the release time, and prolonging the exposure validity period. And multiplying the ratio of the current exposure validity period to the release period by the current flow value to obtain the updated flow value of the online video, wherein the exposure validity period can be prolonged to one month, the online video is continuously associated and distributed, the flow value and the exposure validity period are detected, and the steps are repeated. And when the exposure validity period reaches, deleting the online video from the flow pool and setting the online video as an offline.
Corresponding to the method in fig. 1, an embodiment of the present invention further provides a new video recommendation traffic distribution system, including:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring author historical data of a new video and determining a flow value of the new video;
the second module is used for setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video and determining the online video;
the third module is used for performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video;
a fourth module for updating the flow value and extending the exposure validity period when the exposure value reaches the flow value within the exposure validity period;
and the fifth module is used for stopping the associated distribution of the online video and deleting the online video from the flow pool to be set as an offline when the exposure valid period reaches and the exposure value does not reach the flow value.
Corresponding to the method of fig. 1, an embodiment of the present invention further provides an electronic device, including a processor and a memory; the memory is used for storing programs; the processor executes the program to implement the method as described above.
Corresponding to the method of fig. 1, the embodiment of the present invention also provides a computer-readable storage medium, which stores a program, and the program is executed by a processor to implement the method as described above.
The embodiment of the invention also discloses a computer program product or a computer program, which comprises computer instructions, and the computer instructions are stored in a computer readable storage medium. The computer instructions may be read by a processor of a computer device from a computer-readable storage medium, and executed by the processor to cause the computer device to perform the method illustrated in fig. 1.
In summary, the embodiments of the present invention have the following advantages:
(1) according to the embodiment of the invention, the expected exposure number and the exposure validity period are defined, so that the video can be continuously exposed, and the self-management of the life cycle of the video is realized;
(2) the embodiment of the invention reversely feeds data calculation through the exposure value of the video flow, can continuously update the flow expected value of the video, and can automatically adapt to the change of the platform flow through the detection of the flow value and the exposure valid period;
(3) the embodiment of the invention determines the flow value of the new video through the history number of the author, reduces the possibility of manually adjusting the parameters, avoids the excessive concentration of partial resources caused by manual operation, is more beneficial to the mining of single video resources,
and the exposure fairness of the video producer is ensured.
In alternative embodiments, the functions/acts noted in the block diagrams may occur out of the order noted in the operational illustrations. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality/acts involved. Furthermore, the embodiments presented and described in the flow charts of the present invention are provided by way of example in order to provide a more thorough understanding of the technology. The disclosed methods are not limited to the operations and logic flows presented herein. Alternative embodiments are contemplated in which the order of various operations is changed and in which sub-operations described as part of larger operations are performed independently.
Furthermore, although the present invention is described in the context of functional modules, it should be understood that, unless otherwise stated to the contrary, one or more of the described functions and/or features may be integrated in a single physical device and/or software module, or one or more functions and/or features may be implemented in a separate physical device or software module. It will also be appreciated that a detailed discussion of the actual implementation of each module is not necessary for an understanding of the present invention. Rather, the actual implementation of the various functional modules in the apparatus disclosed herein will be understood within the ordinary skill of an engineer, given the nature, function, and internal relationship of the modules. Accordingly, those skilled in the art can, using ordinary skill, practice the invention as set forth in the claims without undue experimentation. It is also to be understood that the specific concepts disclosed are merely illustrative of and not intended to limit the scope of the invention, which is defined by the appended claims and their full scope of equivalents.
The functions, if implemented in the form of software functional units and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U disk, a removable hard disk, a Read-only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The logic and/or steps represented in the flowcharts or otherwise described herein, e.g., an ordered listing of executable instructions that can be considered to implement logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device.
More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium could even be paper or another suitable medium upon which the program is printed, as the program can be electronically captured, via for instance optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner if necessary, and then stored in a computer memory.
It should be understood that portions of the present invention may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
In the description herein, references to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., 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.
While embodiments of the invention have been shown and described, it will be understood by those of ordinary skill in the art that: various changes, modifications, substitutions and alterations can be made to the embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the claims and their equivalents.
While the preferred embodiments of the present invention have been illustrated and described, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A new video recommendation traffic distribution method is characterized by comprising the following steps:
acquiring author historical data of a new video, and determining a flow value of the new video;
setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video, and determining the online video;
performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video;
updating the flow value and extending the exposure validity period when the exposure value reaches the flow value within the exposure validity period;
and when the exposure validity period reaches and the exposure value does not reach the flow value, stopping the associated distribution of the online video, and deleting the online video from the flow pool to be set as an offline video.
2. The method for distributing recommended traffic of new video according to claim 1, wherein the obtaining author history data of the new video and determining the traffic value of the new video comprises:
acquiring author history data of the new video, wherein the author history data comprises the average exposure number of historical videos issued by authors;
determining the average exposure number as a flow value of the new video.
3. The method according to claim 2, wherein the method further comprises:
when the author of the new video is a new author, the author history data is null;
and determining a preset value as the flow value of the new video.
4. The method for distributing the new video recommendation traffic according to claim 1, wherein the association distribution of the online video is performed in a manner that a platform user is associated with a video, and the determination of the exposure value of the online video comprises:
and after a platform user logs in a platform, distributing the online video to the platform user according to the author concerned by the platform user and the preference of the video label, and determining the exposure value of the online video.
5. The method for distributing the new video recommendation traffic according to claim 1, wherein the updating the traffic value and the extending the exposure validity period comprise:
and according to the proportion of the current exposure validity period to the release period, determining the updated flow value as the product of the current flow value and the proportion, and prolonging the exposure validity period.
6. The method according to claim 1, wherein the method further comprises:
and recording the video which is set to be offline from the flow pool to the author history data.
7. The method according to claim 1, wherein the method further comprises:
and detecting a flow value or an exposure valid period of a video which is set to be online in the flow pool through timing task detection.
8. A new video recommendation traffic distribution system, comprising:
the system comprises a first module, a second module and a third module, wherein the first module is used for acquiring author historical data of a new video and determining a flow value of the new video;
the second module is used for setting an exposure validity period for the new video, putting the new video into a flow pool, setting the new video as an online video and determining the online video;
the third module is used for performing association distribution on the online video in a platform user and video association mode, and determining an exposure value of the online video;
a fourth module for updating the flow value and extending the exposure validity period when the exposure value reaches the flow value within the exposure validity period;
and the fifth module is used for stopping the associated distribution of the online video and deleting the online video from the flow pool to be set as an offline when the exposure valid period reaches and the exposure value does not reach the flow value.
9. An electronic device comprising a processor and a memory;
the memory is used for storing programs;
the processor executing the program realizes the method according to any one of claims 1-7.
10. A computer-readable storage medium, characterized in that the storage medium stores a program, which is executed by a processor to implement the method according to any one of claims 1-7.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115982221A (en) * | 2023-01-05 | 2023-04-18 | 北京高阳捷迅信息技术有限公司 | Activity recommendation system, method, electronic device and medium based on historical data |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701683A (en) * | 2016-01-05 | 2016-06-22 | 广州爱九游信息技术有限公司 | Application delivery management method and device |
| CN108259939A (en) * | 2017-12-25 | 2018-07-06 | 广州华多网络科技有限公司 | new video push control method, device and server |
| CN109446419A (en) * | 2018-10-17 | 2019-03-08 | 武汉斗鱼网络科技有限公司 | A kind of method and device for recommending video |
| CN112131413A (en) * | 2019-06-25 | 2020-12-25 | 腾讯科技（深圳）有限公司 | Multimedia information processing method and device, electronic equipment and storage medium |
| CN113011906A (en) * | 2020-12-10 | 2021-06-22 | 腾讯科技（深圳）有限公司 | Multimedia information processing method and device, electronic equipment and storage medium |
| CN113572802A (en) * | 2021-01-18 | 2021-10-29 | 腾讯科技（深圳）有限公司 | Object flow control method, device and medium |
-
2021
- 2021-12-22 CN CN202111582698.9A patent/CN114286135A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105701683A (en) * | 2016-01-05 | 2016-06-22 | 广州爱九游信息技术有限公司 | Application delivery management method and device |
| CN108259939A (en) * | 2017-12-25 | 2018-07-06 | 广州华多网络科技有限公司 | new video push control method, device and server |
| WO2019128941A1 (en) * | 2017-12-25 | 2019-07-04 | 广州华多网络科技有限公司 | Method and device for controlling new video pushing, and server. |
| CN109446419A (en) * | 2018-10-17 | 2019-03-08 | 武汉斗鱼网络科技有限公司 | A kind of method and device for recommending video |
| CN112131413A (en) * | 2019-06-25 | 2020-12-25 | 腾讯科技（深圳）有限公司 | Multimedia information processing method and device, electronic equipment and storage medium |
| CN113011906A (en) * | 2020-12-10 | 2021-06-22 | 腾讯科技（深圳）有限公司 | Multimedia information processing method and device, electronic equipment and storage medium |
| CN113572802A (en) * | 2021-01-18 | 2021-10-29 | 腾讯科技（深圳）有限公司 | Object flow control method, device and medium |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115982221A (en) * | 2023-01-05 | 2023-04-18 | 北京高阳捷迅信息技术有限公司 | Activity recommendation system, method, electronic device and medium based on historical data |
| CN115982221B (en) * | 2023-01-05 | 2024-03-26 | 北京高阳捷迅信息技术有限公司 | Activity recommendation system, method, electronic equipment and medium based on historical data |
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