CN109168009B - Flow distribution method and device, electronic equipment and computer readable storage medium - Google Patents

Flow distribution method and device, electronic equipment and computer readable storage medium Download PDF

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CN109168009B
CN109168009B CN201810879013.9A CN201810879013A CN109168009B CN 109168009 B CN109168009 B CN 109168009B CN 201810879013 A CN201810879013 A CN 201810879013A CN 109168009 B CN109168009 B CN 109168009B
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task
releasing
determining
gear
release
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CN109168009A (en
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李庆寿
徐生炬
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Beijing Mijinghefeng Technology Co ltd
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Beijing Mijinghefeng Technology Co ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/21Server components or server architectures
    • H04N21/218Source of audio or video content, e.g. local disk arrays
    • H04N21/2187Live feed
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/23Processing of content or additional data; Elementary server operations; Server middleware
    • H04N21/24Monitoring of processes or resources, e.g. monitoring of server load, available bandwidth, upstream requests
    • H04N21/2407Monitoring of transmitted content, e.g. distribution time, number of downloads
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/20Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
    • H04N21/25Management 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
    • H04N21/262Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
    • H04N21/26208Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists the scheduling operation being performed under constraints
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/43Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
    • H04N21/442Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
    • H04N21/44213Monitoring of end-user related data
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/4508Management of client data or end-user data
    • H04N21/4532Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
    • H04N21/45Management 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
    • H04N21/466Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04NPICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/80Generation or processing of content or additional data by content creator independently of the distribution process; Content per se
    • H04N21/81Monomedia components thereof
    • H04N21/812Monomedia components thereof involving advertisement data

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  • Engineering & Computer Science (AREA)
  • Databases & Information Systems (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Business, Economics & Management (AREA)
  • Marketing (AREA)
  • Health & Medical Sciences (AREA)
  • General Health & Medical Sciences (AREA)
  • Social Psychology (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
  • Information Transfer Between Computers (AREA)

Abstract

The embodiment of the application provides a method and a device for flow distribution, electronic equipment and a computer readable storage medium, which are applicable to the technical field of Internet, wherein the method comprises the following steps: determining the task exposure speed corresponding to each released task in the current period, then determining the release position corresponding to each released task in the feed stream in the next period based on the task exposure speed corresponding to each released task in the current period, and then releasing each released task at the corresponding release position. According to the method and the device, the situation that partial anchor flows are too concentrated is avoided, and user experience is improved.

Description

Flow distribution method and device, electronic equipment and computer readable storage medium
Technical Field
The present application relates to the field of internet technologies, and in particular, to a traffic distribution method, an apparatus, an electronic device, and a computer-readable storage medium.
Background
With the development of information technology, live broadcast services are also developed, and many live broadcast platforms come along, and the live broadcast platform pushes live broadcast content to users in a feed stream mode to acquire user traffic. Specifically, only when a user watches live content pushed by a live platform, the anchor of the live content can acquire user traffic, so that how to distribute the traffic becomes a key problem.
At present, a method for allocating traffic intervenes in traffic allocation based on a Feed scoring sorting algorithm common to live broadcast services, and by means of channel locking, location polling, and temporary algorithm intervention, so that anchor content subjected to interference prediction is added into a Feed queue, and a Feed queue subjected to interference prediction is displayed to a user by a live broadcast platform, so as to intervene in traffic allocation.
However, when the traffic distribution is interfered in the manner, because the feed queues corresponding to all users are interfered in the manner, and the feed queues corresponding to each user are still the same after the interference, the live content and the live content arrangement sequence watched by each user are the same, but due to a time problem, the user may only watch the anchor content in the front order, but does not watch the anchor content in the middle or behind order, so that part of anchor traffic is still too concentrated, the traffic distribution is inaccurate, and the user experience is poor.
Disclosure of Invention
The application provides a method and a device for flow distribution, electronic equipment and a computer readable storage medium, which are used for solving the problems of inaccurate flow distribution and poor user experience.
In a first aspect, a method for allocating traffic is provided, where the method includes:
determining task exposure speeds corresponding to all released tasks in the current period;
determining the release positions of the release tasks in the feed stream corresponding to each release task in the next period based on the task exposure speeds of the release tasks corresponding to each release task in the current period;
and respectively releasing each releasing task at the corresponding releasing position.
With reference to the first aspect, in some implementations of the first aspect, before determining the task exposure speed corresponding to each released task in the current period, the method further includes:
determining a task in a preset state;
and selecting at least one task to be delivered from the tasks in the preset state.
With reference to the first aspect, in some implementations of the first aspect, the selecting at least one task to be delivered from tasks in a preset state includes at least one of:
randomly selecting at least one releasing task from the tasks in the preset state;
and selecting at least one releasing task based on the correlation degree between each task in the preset state and the user.
With reference to the first aspect, in some implementations of the first aspect, determining, based on a task exposure speed corresponding to each launched task in a current period, a launch position corresponding to each launched task in a feed stream in a next period respectively includes:
determining a release gear corresponding to each released task in the feed stream in the next period based on the task exposure speed corresponding to each released task in the current period;
and determining the throwing positions corresponding to all throwing tasks in any throwing gear.
With reference to the first aspect, in some implementations of the first aspect, determining a launch position corresponding to each launched task in the gear includes:
and randomly determining the throwing positions corresponding to all throwing tasks in the gear.
With reference to the first aspect, in some implementation manners of the first aspect, determining, based on a task exposure speed corresponding to each launched task in a current period, a launch gear corresponding to each launched task in a feed stream in a next period respectively includes:
determining at least one release task of which the task exposure speed does not meet a first preset condition in the current period;
and determining the corresponding launching gear of at least one launching task which does not meet the first preset condition in the next period in the feed stream.
With reference to the first aspect, in certain implementations of the first aspect, determining at least one delivered task for which a task exposure speed does not meet a first preset condition in a current period includes:
determining at least one first release task and at least one second release task, wherein the first release task is a task with a task exposure rate higher than a second preset condition in a current period, and the second release task is a task with a task exposure rate lower than a third preset condition in the current period;
determining the corresponding launching gear of at least one launching task which does not meet the first preset condition in the next period in the feed stream respectively, wherein the launching gear comprises the following steps:
aiming at any first releasing task, determining that a corresponding releasing gear in the next period is lower than a releasing gear corresponding to the current period;
and aiming at any second releasing task, determining that the corresponding releasing gear in the next period is higher than the releasing gear corresponding to the current period.
In a second aspect, there is provided an apparatus for flow distribution, the apparatus comprising:
the determining module is used for determining the task exposure speed corresponding to each released task in the current period;
the determining module is further used for determining the throwing positions of the throwing tasks in the feed stream respectively corresponding to the throwing tasks in the next period based on the task exposure speeds respectively corresponding to the throwing tasks in the current period;
and the releasing module is used for releasing each releasing task at the corresponding releasing position determined by the determining module.
With reference to the second aspect, in certain implementations of the second aspect, the apparatus further includes: selecting a module;
the determining module is also used for determining the tasks in the preset state;
and the selecting module is used for selecting at least one releasing task from the tasks in the preset state determined by the determining module.
With reference to the second aspect, in some implementations of the second aspect, the selecting module is specifically configured to randomly select at least one release task from the tasks in the preset state;
and the selection module is specifically used for selecting at least one release task based on the correlation degree between each task in the preset state and the user.
With reference to the second aspect, in some implementation manners of the second aspect, the determining module is specifically configured to determine, based on task exposure speeds corresponding to the released tasks in the current period, release gears corresponding to the released tasks in the feed stream in the next period;
and the determining module is used for determining the releasing positions corresponding to the releasing tasks in any releasing gear.
With reference to the second aspect, in some implementations of the second aspect, the determining module is specifically further configured to randomly determine the release positions corresponding to the release tasks in the gear.
With reference to the second aspect, in some implementations of the second aspect, the determining module is specifically further configured to determine at least one released task for which a task exposure speed does not meet a first preset condition in a current period;
the determining module is specifically further configured to determine a corresponding release gear in the feed stream for at least one release task that does not meet the first preset condition in the next period.
With reference to the second aspect, in some implementation manners of the second aspect, the determining module is specifically further configured to determine at least one first released task and at least one second released task, where the first released task is a task whose exposure speed is higher than a second preset condition in a current period, and the second released task is a task whose exposure speed is lower than a third preset condition in the current period;
the determining module is specifically used for determining that the corresponding releasing gear in the next period is lower than the releasing gear corresponding to the current period aiming at any first releasing task;
and aiming at any second releasing task, the determining module is specifically used for determining that the corresponding releasing gear in the next period is higher than the releasing gear corresponding to the current period.
In a third aspect, an electronic device is provided, which includes:
one or more processors;
a memory;
one or more application programs, wherein the one or more application programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: a method of traffic distribution according to the first aspect is performed.
In a fourth aspect, a computer-readable storage medium is provided, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of traffic distribution according to the first aspect.
Compared with the prior art in which the traffic distribution mode is intervened in a channel locking mode, a position polling mode, a temporary algorithm intervention mode and the like, the method and the device for distributing the traffic determine the release positions of the release tasks in the feed stream respectively corresponding to the release tasks in the next period by determining the task exposure speeds of the release tasks respectively corresponding to the current period and determining the release positions of the release tasks in the feed stream respectively corresponding to the release tasks in the next period based on the task exposure speeds of the release tasks respectively corresponding to the current period, and then release the release tasks respectively at the corresponding release positions. That is, the delivery position of each delivered task in the feed stream in the next period is adjusted according to the task exposure speed corresponding to each delivered task in the current period, for example, when the task exposure speed of a certain task in the current period is low, the certain task can be placed at the position near the feed stream in the next period, and when the task exposure speed of a certain task in the current period is high, the certain task can be placed at the position near the feed stream in the next period, so that the problem that part of the main broadcast flow is too concentrated is avoided, and the accuracy of flow distribution can be improved.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings used in the description of the embodiments of the present application will be briefly described below.
Fig. 1 is a schematic flow chart of a method for allocating traffic according to an embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of a flow distribution device according to an embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of another flow distribution device provided in the embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device for allocating traffic according to an embodiment of the present application.
Detailed Description
Reference will now be made in detail to embodiments of the present application, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to the same or similar elements or elements having the same or similar function throughout. The embodiments described below with reference to the drawings are exemplary only for the purpose of explaining the present application and are not to be construed as limiting the present invention.
As used herein, the singular forms "a", "an", "the" and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It will be further understood that the terms "comprises" and/or "comprising," when used in this specification, specify the presence of stated features, integers, steps, operations, elements, and/or components, but do not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components, and/or groups thereof. It will be understood that when an element is referred to as being "connected" or "coupled" to another element, it can be directly connected or coupled to the other element or intervening elements may also be present. Further, "connected" or "coupled" as used herein may include wirelessly connected or wirelessly coupled. As used herein, the term "and/or" includes all or any element and all combinations of one or more of the associated listed items.
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The terms referred to in this application will first be introduced and explained:
and (4) DSP: the Demand-Side Platform is a Demand Side Platform, and takes accurate marketing as a core concept. The embodiment of the application particularly relates to an advertisement delivery system platform based on a live scene.
The recommendation system comprises: recommendation System, information System based on personalized recommendations. And (4) personalized recommendation, namely recommending information or commodities which are interested by the user to the user according to the interest characteristics and behaviors of the user. The embodiment of the application particularly refers to Feed stream recommendation based on a live scene.
In the prior art, two schemes for flow allocation intervention exist in a live broadcast scene, the first scheme is a feed scoring sorting algorithm system based on live broadcast services, and the flow allocation in the live broadcast scene is intervened in a channel locking (manual/automatic), position polling, temporary algorithm intervention and other manners. However, the first method for traffic allocation intervention has the following problems, for example, the feed flow default sorting algorithm, the intervention strategy and the service are seriously coupled, and the maintainability is poor; furthermore, by the first method of traffic distribution intervention, the feeds seen by each user are the same, so that the content distributed to the users is not of interest; moreover, the head-end anchor traffic is too concentrated to effectively increase the exposure of the middle-end and tail-end anchors.
The second scheme is a personalized recommendation system based on live broadcast services, and six-burst distribution is interfered in a mode of channel position locking and special position feed insertion. However, the second method of traffic allocation intervention has the following problems: flow distribution intervention influences a personalized recommendation system, and a user may not be interested in the viewed live content at all; moreover, the effect of flow intervention cannot be counted, the anchor flow after intervention is still too concentrated, and the intervention distribution flow cannot be dynamically adjusted according to the intervention effect.
The present application provides a method, an apparatus, an electronic device, and a computer-readable storage medium for traffic distribution, which aim to solve the above technical problems in the prior art.
The following describes the technical solutions of the present application and how to solve the above technical problems with specific embodiments. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments. Embodiments of the present application will be described below with reference to the accompanying drawings.
Example one
An embodiment of the present application provides a method for allocating traffic, as shown in fig. 1, the method includes:
and S101, determining task exposure speeds corresponding to all the released tasks in the current period.
For the embodiment of the application, the task exposure speed corresponding to each released task in the current period is counted in each period. One minute may be defined as a period, or 10 minutes as a period. The embodiments of the present application are not limited.
For the embodiment of the present application, the exposure speed of each task in any period may be calculated by the number of exposures of the task in the period/the time interval of the period. In the embodiment of the present application, the number of exposures of each delivered task in the period is determined by the following method: and pulling a feed stream display by the client, taking the feed displayed in the period as effective exposure data, dotting the effective exposure data into the DSP system, and dotting the condition viewed by the client into the DSP system to obtain the task exposure condition considered to be in the period by each release.
For example, each cycle is one minute, the exposure amount of the job corresponding to the job 1 in a certain cycle is 6000, and the exposure speed of the job corresponding to the job 1 is 100 times/second.
For the present embodiment, the task exposure may also be used to characterize the task exposure speed. In the embodiment of the application, besides determining the task exposure rate corresponding to each released task in the current period, the task exposure rate corresponding to each released task in the current period can be determined. The embodiments of the present application are not limited.
And S102, determining the release positions of the release tasks in the feed stream respectively corresponding to the release tasks in the next period based on the task exposure speeds respectively corresponding to the release tasks in the current period.
For the embodiment of the application, three types of tasks are determined based on the task exposure speed corresponding to each released task in the current period. In the embodiment of the present application, the three types of tasks include: a first type of task, a second type of task, and a third type of task.
The first type task is a task with the task exposure speed higher than a preset threshold value in the current period; the second type task is a task with the task exposure speed equal to a preset threshold value in the current period; the third type task is a task with the task exposure speed smaller than a preset threshold value in the current period.
For the embodiment of the application, based on the determined three types of tasks, the throwing positions of the various tasks respectively corresponding to the respective tasks in the feed stream are determined. In the embodiment of the application, in the next period, the position of the first type task in the feed stream is earlier than the position of the first type task in the feed stream in the current period; in the next period, the position of the feed stream corresponding to the third type of task is behind the position of the type of task in the feed stream in the current period; during the next period, the position of the second type of task in the feed stream is not adjusted.
And S103, respectively releasing each releasing task at the corresponding releasing position.
For the embodiment of the present application, in the next period, the corresponding launching tasks are launched at the launching positions determined in step S102, respectively.
Compared with the prior art in which the flow distribution mode is intervened through channel locking, position polling, temporary algorithm intervention and other modes, the flow distribution method determines the task exposure speed corresponding to each released task in the current period, determines the release position corresponding to each released task in the feed stream in the next period based on the task exposure speed corresponding to each released task in the current period, and releases each released task at the corresponding release position. That is, the delivery position of each delivered task in the feed stream in the next period is adjusted according to the task exposure speed corresponding to each delivered task in the current period, for example, when the task exposure speed of a certain task in the current period is low, the certain task can be placed at the position near the feed stream in the next period, and when the task exposure speed of a certain task in the current period is high, the certain task can be placed at the position near the feed stream in the next period, so that the problem that part of the main broadcast flow is too concentrated is avoided, and the accuracy of flow distribution can be improved.
Example two
Another possible implementation manner of the embodiment of the present application further includes, on the basis of the first embodiment, the operation shown in the second embodiment, wherein,
step 101 further includes step SA (not shown) and step SB (not shown), wherein,
and step SA, determining the task in the preset state.
For the embodiment of the application, the determining the state of each promotion task by the DSP system every first preset time includes: in the embodiment of the application, the DSP system determines the states of various promotion tasks based on the start time, the end time and the task completion condition of the recommended tasks. In the embodiment of the present application, the task in the preset state is a task in an ongoing state.
For example, a task in a ready state is a task that has not started live; the task in process is a live task; the task in the ending state is a task of live broadcasting ending.
For the embodiment of the application, before the step SA, a traffic packet and a traffic ticket are issued in an operation background, and the method is divided into a direct purchase mode and a bidding purchase mode, and after the completion of the purchase of an account (anchor) is detected, a live broadcast task corresponding to the account (anchor) is used as a promotion task, and the promotion task is added to the DSP system. In the embodiment of the application, the operation background can delete or modify the promotion task, but the modified content needs to be synchronized to the DSP system.
For the embodiment of the application, the feed stream queue comprises the delivery tasks selected by the recommendation system and/or the delivery tasks selected by the DSP system.
And SB, selecting at least one releasing task from the tasks in the preset state.
For the embodiment of the present application, at least one task to be delivered is selected from the tasks in the ongoing state by the DSP system, which is described in detail in step SB 1. Or synchronizing the promotion tasks in the ongoing state to the recommendation system every second preset time through the DSP system, and selecting at least one release task from the promotion tasks in the ongoing state through the recommendation system, which is detailed in step SB 2.
Specifically, step SB includes step SB1 (not shown) and step SB2 (not shown), wherein,
and step SB1, randomly selecting at least one releasing task from the tasks in the preset state.
For the embodiment of the application, at least one releasing task is randomly selected from the tasks in the ongoing state through the DSP system.
For example, 5 delivered tasks are randomly chosen by the DSP system from the tasks that are in an ongoing state.
And step SB2, selecting at least one releasing task based on the correlation degree between each task in the preset state and the user.
According to the embodiment of the application, the DSP system synchronizes the promotion tasks in an ongoing state to the recommendation system every second preset time, and the recommendation system selects at least one release task for each login user according to the relevancy information between the login user and the promotion tasks.
For the embodiment of the application, the recommendation system can determine the relevance information between each logged-in user and each promotion task respectively, for example, the recommendation tasks can be sorted according to the relevance based on the relevance information between any logged-in user and each recommendation task, sorted according to the relevance, and selected at least one delivery task. In the embodiment of the application, after at least one releasing task is selected according to the relevancy information, the most relevant releasing task in the designated gear range is determined through a weight random sampling algorithm.
For example, the recommended tasks include 5, which are recommended task 1, recommended task 2, recommended task 3, recommended task 4, and recommended task 5, and a certain login user and the 5 recommended tasks sequentially have the following steps from high to low according to the relevance: recommending tasks 5, recommending tasks 3, recommending tasks 2, recommending tasks 1 and recommending tasks 4, and if 2 launching tasks need to be selected, selecting the recommending tasks 5 and the recommending tasks 3 as the launching tasks for the login user.
For the embodiment of the application, the method for determining the relevance between the login user and the recommended task comprises the following steps: and the login user watches the times and duration of the live broadcast of the anchor in a certain recommended task, or whether to pay attention to the anchor.
For the embodiment of the application, at least one delivery task is selected based on the relevance between each task in the preset state and the user, so that the feed stream comprises delivery tasks with high relevance to the login user, the effective utilization rate of the distribution flow can be improved, and the user experience can be improved.
EXAMPLE III
Another possible implementation manner of the embodiment of the present application further includes, on the basis of any one of the first embodiment to the third embodiment, the operation shown in the fourth embodiment, wherein,
step S102 includes step S1021 (not shown) and step S1022 (not shown), wherein,
and S1021, determining the release gear corresponding to each release task in the feed stream in the next period based on the task exposure speed corresponding to each release task in the current period.
For the embodiment of the application, the preset number of throwing gears are set in the feed flow queue. The throwing gear corresponding to the front position of the queue is high, and the throwing gear corresponding to the rear position of the queue is low.
For example, 3 releasing gears are set in the feed flow queue, which are respectively a first releasing gear, a second releasing gear and a third releasing gear, and the feed flow queue sequentially includes a position 1, a position 2, a position 3, a position 4, a position 5 and a position 6 from front to back, where the position 1 and the position 2 belong to the first releasing gear, the position 3 and the position 4 belong to the second releasing gear, and the position 5 and the position 6 belong to the third releasing gear.
For the embodiment of the application, the mode of determining the corresponding launching position of each launching task in the feed stream in the next period is as follows: firstly, determining the throwing gear corresponding to each throwing task in the feed stream in the next period, and then determining the specific throwing position in the throwing gear.
Step S1021 includes step S10211 (not shown) and step 10212 (not shown), wherein,
and step S10211, determining at least one released task of which the task exposure speed does not meet the first preset condition in the current period.
For the embodiment of the present application, the first preset condition includes a second preset condition and a third preset condition.
For the embodiment of the present application, the first preset condition may be a preset threshold, and may also be a multiple of the exposure speed of the task in the previous period. The embodiments of the present application are not limited.
For example, at least one released task with the task exposure speed being greater than or less than a preset threshold value in the current period is determined; or determining at least one released task with the task exposure speed in the current period being greater than 1.1 times of the task exposure speed in the previous period, and determining at least one released task with the task exposure speed in the current period being less than 0.9 times of the task exposure speed in the previous period.
Specifically, step S10211 includes step S10211a (not labeled in the figure), wherein,
step S10211a, determining at least one first delivered task and at least one second delivered task.
The first release task is a task with the task exposure speed higher than a second preset condition in the current period, and the second release task is a task with the task exposure speed lower than a third preset condition in the current period.
For the embodiment of the present application, the second preset condition and the third preset condition may be the same or different. The embodiments of the present application are not limited.
For example, the first released task is at least one released task with a task exposure speed in the current period greater than a preset threshold value, or at least one released task with a task exposure speed in the current period greater than 1.1 times of the task exposure speed in the previous period; the second released task is at least one released task with the task exposure speed in the current period being less than the preset threshold value, or at least one released task with the task exposure speed in the current period being less than 0.9 times of the task exposure speed in the last period.
And step 10212, determining at least one throwing task which does not meet the preset condition in the next period, and respectively corresponding throwing gears in the feed stream.
Wherein, the step S10212 includes a step S10212a (not labeled in the figure) and a step S10212b (not labeled in the figure), wherein,
step S10212a, for any first launch task, determining that the corresponding launch gear in the next cycle is lower than the launch gear corresponding to the current cycle.
For the embodiment of the application, it is determined that the corresponding release gear of the at least one first release task in the next period is lower than the corresponding release gear in the current period.
For example, the release gear corresponding to a certain first release task in the current period is the first release gear, and the release gear corresponding to the first release task in the next period is the second release gear.
Step S10212b, for any second launch task, determining that the corresponding launch gear in the next cycle is higher than the launch gear corresponding to the current cycle.
For the embodiment of the application, it is determined that the corresponding release gear of the at least one second release task in the next period is higher than the corresponding release gear in the current period.
For example, the release gear corresponding to a certain second release task in the current period is the second release gear, and the release gear corresponding to the second release task in the next period is the first release gear.
For the embodiment of the application, for at least one release task meeting a first preset condition, the release gear corresponding to the next period is the same as the release gear corresponding to the previous period.
For example, a certain releasing task meets the preset condition, and the releasing gear corresponding to the releasing task in the current period is the second releasing gear, so that the releasing gear corresponding to the releasing task in the feed stream in the next period is still the second releasing gear.
And step S1022, aiming at any releasing gear, determining a releasing position corresponding to each releasing task in the gear.
Specifically, determining the launching positions corresponding to the launching tasks in the gear respectively comprises the following steps: and randomly determining the throwing positions corresponding to all throwing tasks in the gear.
For the embodiment of the application, after the launching gear corresponding to each launching task is determined, launching positions can be randomly selected for each task in the corresponding launching gear.
For example, the release gear corresponding to a certain release task is the second release gear, the release positions corresponding to the second release gear are position 3 and position 4, and the release position corresponding to the release task is randomly determined to be position 3 or position 4.
For the embodiment of the application, the throwing positions of the throwing tasks in the feed stream in the next period are adjusted through the exposure speed of the throwing tasks in the current period, so that the adaptability adjustment can be performed according to the monitored flow distribution condition of the throwing tasks, the monitorability and the maintainability of the flow distribution process are achieved, the distribution position range is dynamically adjusted according to the sequencing position and the throwing effect, the throwing of the anchor is evenly controlled within a period of time, the condition that the flow is too concentrated is further avoided, and the user experience is improved.
Example four
The embodiment of the present application provides a flow distribution device, as shown in fig. 2, the flow distribution device 20 may include: a determination module 201 and a delivery module 202, wherein,
the determining module 201 is configured to determine a task exposure speed corresponding to each released task in the current period.
The determining module 201 is further configured to determine, based on the task exposure speed corresponding to each launched task in the current period, a launching position corresponding to each launched task in the feed stream in the next period.
And a releasing module 202, configured to release each releasing task at the corresponding releasing position determined by the determining module 201.
Compared with the prior art in which the flow distribution mode is intervened through channel locking, position polling, temporary algorithm intervention and other modes, the flow distribution device determines the release positions of each release task in the feed stream in the next period respectively corresponding to the release tasks in the next period based on the task exposure speed of each release task in the current period respectively corresponding to the release tasks in the current period, and then releases each release task at the corresponding release position. That is, the delivery position of each delivered task in the feed stream in the next period is adjusted according to the task exposure speed corresponding to each delivered task in the current period, for example, when the task exposure speed of a certain task in the current period is low, the certain task can be placed at the position near the feed stream in the next period, and when the task exposure speed of a certain task in the current period is high, the certain task can be placed at the position near the feed stream in the next period, so that the problem that part of the main broadcast flow is too concentrated is avoided, and the accuracy of flow distribution can be improved.
The embodiment of the application provides a device for distributing flow, which is suitable for the first method embodiment. And will not be described in detail herein.
EXAMPLE five
The embodiment of the present application provides a flow distribution device, and as shown in fig. 3, the flow distribution device 30 may include: a determination module 301 and a delivery module 302, wherein,
a determining module 301, configured to determine task exposure speeds corresponding to the respective released tasks in the current period.
Wherein the determining module 301 in fig. 3 has the same or similar function as the determining module 201 in fig. 2.
The determining module 301 is further configured to determine, based on the task exposure speed corresponding to each launched task in the current period, a launching position corresponding to each launched task in the feed stream in the next period.
And a releasing module 302, configured to release each releasing task at the corresponding releasing position determined by the determining module 301.
Wherein the delivery module 302 of fig. 3 has the same or similar function as the delivery module 202 of fig. 2.
The determining module 301 is further configured to determine a task in a preset state.
Further, as shown in fig. 3, the apparatus 30 further includes: a selection module 303 is selected, wherein,
a selecting module 303, configured to select at least one releasing task from the tasks in the preset state determined by the determining module 301.
The selecting module 303 is specifically configured to randomly select at least one releasing task from the tasks in the preset state.
The selecting module 303 is further configured to specifically select at least one releasing task based on the correlation between each task in the preset state and the user.
For the embodiment of the application, at least one delivery task is selected based on the relevance between each task in the preset state and the user, so that the feed stream comprises delivery tasks with high relevance to the login user, the effective utilization rate of the distribution flow can be improved, and the user experience can be improved.
The determining module 301 is specifically configured to determine, based on the task exposure speed corresponding to each launched task in the current period, a launch gear corresponding to each launched task in the feed stream in the next period.
For any releasing gear, the determining module 301 is specifically further configured to determine a releasing position corresponding to each releasing task in the gear.
Specifically, the determining module 301 is further configured to randomly determine the launching positions corresponding to the launching tasks in the gear.
The determining module 301 is further configured to determine at least one released task whose task exposure speed does not meet a first preset condition in the current period.
The determining module 301 is further specifically configured to determine a corresponding release gear in the feed stream for at least one release task that does not meet the first preset condition in the next period.
Specifically, the determining module 301 is further configured to determine at least one first delivery task and at least one second delivery task.
The first release task is a task with the task exposure speed higher than a second preset condition in the current period, and the second release task is a task with the task exposure speed lower than a third preset condition in the current period.
For any first releasing task, the determining module 301 is further specifically configured to determine that a corresponding releasing gear in a next period is lower than a releasing gear corresponding to a current period.
For any second launching task, the determining module 301 is further configured to determine that the launching gear corresponding to the next period is higher than the launching gear corresponding to the current period.
For the embodiment of the application, the throwing positions of the throwing tasks in the feed stream in the next period are adjusted through the exposure speed of the throwing tasks in the current period, so that the adaptability adjustment can be performed according to the monitored flow distribution condition of the throwing tasks, the monitorability and the maintainability of the flow distribution process are achieved, the distribution position range is dynamically adjusted according to the sequencing position and the throwing effect, the throwing of the anchor is evenly controlled within a period of time, the condition that the flow is too concentrated is further avoided, and the user experience is improved.
The embodiment of the application provides another device for flow distribution, and compared with the flow distribution intervening mode in the prior art through channel locking, position polling, temporary algorithm intervening and other modes, the embodiment of the application determines the task exposure speed corresponding to each released task in the current period respectively, determines the release position corresponding to each released task in the feed stream in the next period based on the task exposure speed corresponding to each released task in the current period respectively, and then releases each released task at the corresponding release position respectively. That is, the delivery position of each delivered task in the feed stream in the next period is adjusted according to the task exposure speed corresponding to each delivered task in the current period, for example, when the task exposure speed of a certain task in the current period is low, the certain task can be placed at the position near the feed stream in the next period, and when the task exposure speed of a certain task in the current period is high, the certain task can be placed at the position near the feed stream in the next period, so that the problem that part of the main broadcast flow is too concentrated is avoided, and the accuracy of flow distribution can be improved.
The flow rate distribution device of this embodiment can execute the flow rate distribution method shown in any one of the first to third embodiments of this application, and the implementation principles thereof are similar, and are not described herein again.
EXAMPLE six
An embodiment of the present application provides an electronic device, as shown in fig. 4, an electronic device 4000 shown in fig. 4 includes: a processor 4001 and a memory 4003. Processor 4001 is coupled to memory 4003, such as via bus 4002. Optionally, the electronic device 4000 may further comprise a transceiver 4004. In addition, the transceiver 4004 is not limited to one in practical applications, and the structure of the electronic device 2000 is not limited to the embodiment of the present application.
The processor 4001 is applied in the embodiment of the present application, and is configured to implement the functions of the determining module and the releasing module shown in fig. 2 or fig. 3, and also implement the function of the selecting module shown in fig. 3. The transceiver 4004 includes a receiver and a transmitter.
Processor 4001 may be a CPU, general purpose processor, DSP, ASIC, FPGA or other programmable logic device, transistor logic device, hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor 4001 may also be a combination that performs a computational function, including, for example, a combination of one or more microprocessors, a combination of a DSP and a microprocessor, or the like.
Bus 4002 may include a path that carries information between the aforementioned components. Bus 4002 may be a PCI bus, EISA bus, or the like. The bus 4002 may be divided into an address bus, a data bus, a control bus, and the like. For ease of illustration, only one thick line is shown in FIG. 4, but this does not indicate only one bus or one type of bus.
Memory 4003 may be, but is not limited to, a ROM or other type of static storage device that can store static information and instructions, a RAM or other type of dynamic storage device that can store information and instructions, an EEPROM, a CD-ROM or other optical disk storage, an optical disk storage (including compact disk, laser disk, optical disk, digital versatile disk, blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer.
The memory 4003 is used for storing application codes for executing the scheme of the present application, and the execution is controlled by the processor 4001. The processor 4001 is configured to execute application code stored in the memory 4003 to implement the actions of the traffic distribution apparatus provided by the embodiment shown in fig. 2 or fig. 3.
Compared with the prior art in which the flow distribution mode is intervened through channel locking, position polling, temporary algorithm intervention and other modes, the electronic equipment determines the task exposure speed corresponding to each released task in the current period, determines the release position corresponding to each released task in the feed stream in the next period based on the task exposure speed corresponding to each released task in the current period, and then releases each released task at the corresponding release position. That is, the delivery position of each delivered task in the feed stream in the next period is adjusted according to the task exposure speed corresponding to each delivered task in the current period, for example, when the task exposure speed of a certain task in the current period is low, the certain task can be placed at the position near the feed stream in the next period, and when the task exposure speed of a certain task in the current period is high, the certain task can be placed at the position near the feed stream in the next period, so that the problem that part of the main broadcast flow is too concentrated is avoided, and the accuracy of flow distribution can be improved.
The embodiment of the application provides an electronic device suitable for at least one of the first to third embodiments of the method. And will not be described in detail herein.
The present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the method for allocating traffic shown in any one of the first to third embodiments.
Compared with the prior art that the flow distribution mode is intervened through channel locking, position polling, temporary algorithm intervention and the like, the method determines the task exposure speed corresponding to each released task in the current period, determines the release position corresponding to each released task in the feed stream in the next period based on the task exposure speed corresponding to each released task in the current period, and releases each released task at the corresponding release position. That is, the delivery position of each delivered task in the feed stream in the next period is adjusted according to the task exposure speed corresponding to each delivered task in the current period, for example, when the task exposure speed of a certain task in the current period is low, the certain task can be placed at the position near the feed stream in the next period, and when the task exposure speed of a certain task in the current period is high, the certain task can be placed at the position near the feed stream in the next period, so that the problem that part of the main broadcast flow is too concentrated is avoided, and the accuracy of flow distribution can be improved.
The embodiment of the present application provides a computer-readable storage medium suitable for any one of the first to third embodiments of the above method embodiments. And will not be described in detail herein.
It should be understood that, although the steps in the flowcharts of the figures are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and may be performed in other orders unless explicitly stated herein. Moreover, at least a portion of the steps in the flow chart of the figure may include multiple sub-steps or multiple stages, which are not necessarily performed at the same time, but may be performed at different times, which are not necessarily performed in sequence, but may be performed alternately or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
The foregoing is only a partial embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.

Claims (16)

1. A method of traffic distribution, comprising:
determining task exposure speeds corresponding to all released tasks in the current period;
determining the release positions of the release tasks in the feed stream corresponding to each release task in the next period based on the task exposure speeds of the release tasks corresponding to each release task in the current period;
respectively releasing each releasing task at the corresponding releasing position;
the determining the release positions of the release tasks in the feed stream respectively corresponding to the release tasks in the next period based on the task exposure speeds respectively corresponding to the release tasks in the current period comprises:
determining at least one first released task and at least one second released task, wherein the task exposure speed of the first released task in the current period is 1.1 times greater than the task exposure speed in the last period; the task exposure speed of the second released task in the current period is less than 0.9 time of the task exposure speed in the last period;
aiming at any first releasing task, determining that a corresponding releasing gear in the next period is lower than a releasing gear corresponding to the current period; aiming at any second releasing task, determining that the corresponding releasing gear in the next period is higher than the releasing gear corresponding to the current period;
the feed stream is provided with preset number of releasing gears, the releasing gears corresponding to the positions close to the front of the queue are high, the releasing gears corresponding to the positions close to the back of the queue are low, and each releasing gear comprises at least one releasing position.
2. The method of claim 1, wherein before determining the task exposure speed corresponding to each delivered task in the current period, the method further comprises:
determining a task in a preset state;
and selecting at least one task to be delivered from the tasks in the preset state.
3. The method of claim 2, wherein selecting at least one of the delivered tasks from the tasks in the predetermined state comprises at least one of:
randomly selecting at least one releasing task from the tasks in the preset state;
and selecting at least one releasing task based on the correlation degree between each task in the preset state and the user.
4. The method according to any one of claims 1-3, wherein determining the respective corresponding drop positions of the respective dropped tasks in the feed stream in the next period based on the respective corresponding task exposure speeds of the respective dropped tasks in the current period comprises:
determining a release gear corresponding to each released task in the feed stream in the next period based on the task exposure speed corresponding to each released task in the current period;
and determining the throwing positions corresponding to all throwing tasks in any throwing gear.
5. The method according to claim 4, wherein determining the release position corresponding to each released task in the gear comprises:
and randomly determining the throwing positions corresponding to all throwing tasks in the gear.
6. The method of claim 5, wherein determining the respective corresponding delivery gear of each delivered task in the feed stream in the next period based on the respective corresponding task exposure speed of each delivered task in the current period comprises:
determining at least one release task of which the task exposure speed does not meet a first preset condition in the current period;
and determining the corresponding launching gear of the at least one launching task which does not meet the first preset condition in the feed stream in the next period.
7. The method of claim 6, wherein determining at least one delivered task for which the task exposure speed does not meet a first preset condition during the current period comprises:
determining at least one first release task and at least one second release task, wherein the first release task is a task with a task exposure rate higher than a second preset condition in a current period, and the second release task is a task with a task exposure rate lower than a third preset condition in the current period;
determining the launching gear corresponding to the at least one launching task which does not meet the first preset condition in the feed stream in the next period respectively, wherein the launching gear comprises the following steps:
aiming at any first releasing task, determining that a corresponding releasing gear in the next period is lower than a releasing gear corresponding to the current period;
and aiming at any second releasing task, determining that the corresponding releasing gear in the next period is higher than the releasing gear corresponding to the current period.
8. An apparatus for flow distribution, comprising:
the determining module is used for determining the task exposure speed corresponding to each released task in the current period;
the determining module is further configured to determine, based on the task exposure speed corresponding to each launched task in the current period, a launching position corresponding to each launched task in the feed stream in the next period;
the releasing module is used for releasing each releasing task at the corresponding releasing position determined by the determining module;
the determining module comprises:
the task screening unit is used for determining at least one first released task and at least one second released task, and the task exposure speed of the first released task in the current period is greater than 1.1 times of the task exposure speed in the last period; the task exposure speed of the second released task in the current period is less than 0.9 time of the task exposure speed in the last period;
the gear adjusting unit is used for determining that the corresponding release gear in the next period is lower than the release gear corresponding to the current period aiming at any first release task; aiming at any second releasing task, determining that the corresponding releasing gear in the next period is higher than the releasing gear corresponding to the current period;
the feed stream is provided with preset number of releasing gears, the releasing gears corresponding to the positions close to the front of the queue are high, the releasing gears corresponding to the positions close to the back of the queue are low, and each releasing gear comprises at least one releasing position.
9. The apparatus of claim 8, further comprising: selecting a module;
the determining module is further used for determining the task in a preset state;
the selecting module is used for selecting at least one releasing task from the tasks in the preset state determined by the determining module.
10. The apparatus of claim 9,
the selection module is specifically used for randomly selecting at least one release task from tasks in a preset state;
the selection module is specifically further configured to select at least one delivery task based on the correlation between each task in the preset state and the user.
11. The apparatus according to any one of claims 8 to 10,
the determining module is specifically configured to determine, based on the task exposure speed corresponding to each launched task in the current period, a launch gear corresponding to each launched task in the feed stream in the next period;
and aiming at any releasing gear, the determining module is specifically further used for determining releasing positions corresponding to all releasing tasks in the gear.
12. The apparatus of claim 11,
the determining module is specifically further configured to randomly determine a launching position corresponding to each launching task in the gear.
13. The apparatus of claim 12,
the determining module is specifically further configured to determine at least one released task for which the task exposure speed does not meet a first preset condition in a current period;
the determining module is specifically further configured to determine a release gear corresponding to each of the at least one release task that does not satisfy the first preset condition in the feed stream in the next period.
14. The apparatus of claim 13,
the determining module is specifically further configured to determine at least one first release task and at least one second release task, where the first release task is a task whose exposure speed is higher than a second preset condition in a current period, and the second release task is a task whose exposure speed is lower than a third preset condition in the current period;
for any first releasing task, the determining module is specifically further configured to determine that a corresponding releasing gear in a next period is lower than a releasing gear corresponding to a current period;
for any second releasing task, the determining module is specifically further configured to determine that the corresponding releasing gear in the next period is higher than the releasing gear corresponding to the current period.
15. An electronic device, comprising:
one or more processors;
a memory;
one or more applications, wherein the one or more applications are stored in the memory and configured to be executed by the one or more processors, the one or more programs configured to: method of performing a flow distribution according to any of claims 1 to 7.
16. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, is adapted to carry out the method of traffic distribution according to any one of claims 1-7.
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Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109803160B (en) * 2019-02-03 2021-05-07 北京奇艺世纪科技有限公司 Resource allocation method, device and system
CN114567788B (en) * 2020-11-27 2024-05-10 广东元钛科技有限公司 Exposure position distribution method and device, electronic equipment and storage medium
CN113378066B (en) * 2021-07-12 2022-07-29 杭州弧途科技有限公司 Flow control method of part-time post recommendation system

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104519376A (en) * 2014-12-23 2015-04-15 广州酷狗计算机科技有限公司 Method and device for arranging program links
CN104853231A (en) * 2014-02-19 2015-08-19 腾讯科技(北京)有限公司 Information processing method, device and system
CN104869130A (en) * 2014-02-21 2015-08-26 腾讯科技(北京)有限公司 Publishing control method of network medium information and publishing control system of network medium information
CN105592333A (en) * 2014-10-21 2016-05-18 腾讯科技(北京)有限公司 Information processing method and information processing device
CN105589877A (en) * 2014-10-23 2016-05-18 腾讯科技(深圳)有限公司 Information push method and application platform
CN106162248A (en) * 2016-06-27 2016-11-23 武汉斗鱼网络科技有限公司 Management method and the system of position promoted by live platform
CN107169799A (en) * 2017-05-17 2017-09-15 微梦创科网络科技(中国)有限公司 In a kind of primary information flow generation based on social networks, throws advertisement implementation method and system
CN107273521A (en) * 2017-06-22 2017-10-20 百度在线网络技术(北京)有限公司 Feed content qualities evaluation method and device
CN107612966A (en) * 2017-08-11 2018-01-19 百度在线网络技术(北京)有限公司 Feed information feedback processing methods and system
CN108229987A (en) * 2016-12-14 2018-06-29 腾讯科技(深圳)有限公司 A kind of advertisement inventory evaluation method and device
CN108280671A (en) * 2017-01-06 2018-07-13 腾讯科技(深圳)有限公司 A kind of processing method of multimedia messages, device and server

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140074604A1 (en) * 2012-09-10 2014-03-13 Voltari Operating Corp. Predictive analytics for mobile advertising

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104853231A (en) * 2014-02-19 2015-08-19 腾讯科技(北京)有限公司 Information processing method, device and system
CN104869130A (en) * 2014-02-21 2015-08-26 腾讯科技(北京)有限公司 Publishing control method of network medium information and publishing control system of network medium information
CN105592333A (en) * 2014-10-21 2016-05-18 腾讯科技(北京)有限公司 Information processing method and information processing device
CN105589877A (en) * 2014-10-23 2016-05-18 腾讯科技(深圳)有限公司 Information push method and application platform
CN104519376A (en) * 2014-12-23 2015-04-15 广州酷狗计算机科技有限公司 Method and device for arranging program links
CN106162248A (en) * 2016-06-27 2016-11-23 武汉斗鱼网络科技有限公司 Management method and the system of position promoted by live platform
CN108229987A (en) * 2016-12-14 2018-06-29 腾讯科技(深圳)有限公司 A kind of advertisement inventory evaluation method and device
CN108280671A (en) * 2017-01-06 2018-07-13 腾讯科技(深圳)有限公司 A kind of processing method of multimedia messages, device and server
CN107169799A (en) * 2017-05-17 2017-09-15 微梦创科网络科技(中国)有限公司 In a kind of primary information flow generation based on social networks, throws advertisement implementation method and system
CN107273521A (en) * 2017-06-22 2017-10-20 百度在线网络技术(北京)有限公司 Feed content qualities evaluation method and device
CN107612966A (en) * 2017-08-11 2018-01-19 百度在线网络技术(北京)有限公司 Feed information feedback processing methods and system

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