CN110851647B - Intelligent distribution method, device and equipment for audio content flow and readable storage medium - Google Patents
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- 238000004590 computer program Methods 0.000 claims description 11
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Abstract
The embodiment of the invention discloses an intelligent distribution method, a device, equipment and a readable storage medium for audio content flow, wherein the method comprises the following steps: constructing an audio content playlist portrait system according to user behaviors; updating the audio content playlist representation system according to the user behavior data processing result; and training an audio content value estimation model according to the audio content playlist representation system to obtain an audio content flow distribution scheme. In the using process, the embodiment of the invention constructs indexes by analyzing the historical behaviors generated by the user of the audio playing list, defines the basic value brought by the new content of the playing list in the future, and firstly distributes the flow according to the basic value; secondly, through the model, it is found whether more traffic needs to be allocated, i.e. more traffic brings more value. And directing the flow distribution of the new content of the broadcast list to achieve the most reasonable use of the flow.
Description
Technical Field
The invention relates to the technical field of program traffic intelligent distribution based on big data, in particular to an audio content traffic intelligent distribution method, device and equipment and a readable storage medium.
Background
With the development of the internet and the mobile internet, the cost of each large platform for acquiring traffic is higher and higher. The traditional flow distribution scheme mainly comprises the following two modes:
firstly, the method comprises the following steps: recalling content based on the user interest points and distributing traffic;
secondly, the method comprises the following steps: recalls are made based on the popularity of the content and traffic is distributed.
The disadvantages of such flow distribution are:
the contribution value of any content to the platform is not considered, the flow is distributed in a basically uniform mode for the same type of audio, and the maximum value of the flow is not used.
Based on the above technical problems, it is very necessary to design a system that can achieve a better flow distribution scheme for the platform.
Disclosure of Invention
The embodiment of the invention aims to provide an intelligent distribution method, device and equipment for audio content flow and a readable storage medium. The embodiment of the invention can construct an index and guide the flow distribution of new content of the play list by analyzing the historical behaviors generated by the user of the audio play list in the using process, thereby achieving the most reasonable use of the flow.
In order to solve the technical problem, the embodiment of the invention adopts the following technical scheme:
the intelligent distribution method for the audio content traffic is provided, and comprises the following steps:
constructing an audio content playlist representation system according to user behaviors;
updating the audio content playlist representation system according to the user behavior data processing result;
and training an audio content value estimation model according to the audio content playlist representation system to obtain an audio content flow distribution scheme.
Optionally, the system for constructing an audio content playslip representation according to user behavior includes: and constructing an audio content playlist representation system according to the audio content click data and/or the audio content play data and/or the audio content comment data and/or the audio content listening data.
Optionally, the system for updating an audio content playlist representation according to the user behavior data processing result includes: and carrying out data processing according to the audio content click data and/or the audio content play data and/or the audio content comment data and/or the audio content listening data, and updating the obtained audio content click rate data and the audio content play completion rate data to the audio content playing portrait system.
Optionally, the training of the audio content value estimation model according to the audio content playbill representation system to obtain the audio content flow distribution scheme includes: and training an audio content value evaluation model according to each anchor of the platform.
Optionally, the process of training the audio content value estimation model according to the audio content order representation system to obtain the audio content flow distribution scheme includes:
when the value of the target audio content is predicted, inputting the click rate, the listening duration, the playing completion rate and the comment number of the audio content in the preset time to the model, and outputting the overall quality fluctuation information of the audio content; and obtaining the flow value of the audio content distribution based on the multiplication of the amplitude information and the basic flow distribution.
Optionally, the training of the audio content value estimation model according to the audio content playbill representation system to obtain the audio content flow distribution scheme includes: and periodically adding the updated data to the training sequence, and retraining the audio content value estimation model.
Optionally, the training of the audio content value prediction model according to the audio content order representation system to obtain the audio content flow distribution scheme includes: if the result obtained by multiplying the information of the amplitude by the basic flow distribution is positive, performing more flow distribution; and if the result obtained by multiplying the basic flow distribution by the amplitude information is a negative number, performing less flow distribution.
The embodiment of the invention also provides an intelligent distribution device for the audio content flow, which comprises:
the playbill portrait system generation module is used for constructing an audio content playbill portrait system according to user behaviors;
the playbill portrait system updating module is used for updating the audio content playbill portrait system according to the user behavior data processing result;
and the audio content value estimation model training module is used for training an audio content value estimation model according to the audio content playlist representation system to obtain an audio content flow distribution scheme.
The embodiment of the invention also provides an intelligent distribution device for the audio content flow, which comprises:
a memory for storing a computer program;
and the processor is used for realizing the steps of the intelligent distribution method of the audio content flow when executing the computer program.
The embodiment of the invention also provides a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and when the computer program is executed by a processor, the steps of the intelligent audio content flow distribution method are realized.
The embodiment of the invention provides an intelligent distribution method, device and equipment of audio content flow and a readable storage medium, wherein the method, device and equipment use big data and artificial intelligence technology, and based on historical behaviors generated by a user under a play list, indexes are constructed by analyzing the historical behaviors generated by the user under the audio play list, the basic value brought by new content in the play list in the future is defined, and firstly, the flow is distributed according to the basic value; secondly, through the model, it is found whether more traffic needs to be distributed, that is, more traffic brings more value. And directing the flow distribution of the new content of the broadcast list to achieve the most reasonable use of the flow.
Drawings
In order to more clearly illustrate the technical solution in the present embodiment, the drawings used in the prior art and the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for a person skilled in the art to obtain other drawings based on the drawings without creative efforts.
Fig. 1 is a schematic flow chart of an intelligent audio content traffic distribution method according to an embodiment of the present invention.
Fig. 2 is a schematic structural flow diagram of an intelligent audio content traffic distribution method according to an embodiment of the present invention.
Fig. 3 is a schematic algorithm flow diagram of an intelligent audio content traffic distribution method according to an embodiment of the present invention.
Fig. 4 is a schematic structural diagram of an intelligent audio content traffic distribution device according to an embodiment of the present invention.
Detailed Description
All of the features disclosed in this specification, or all of the steps in any method or process so disclosed, may be combined in any combination, except combinations of features and/or steps that are mutually exclusive.
Any feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving equivalent or similar purposes, unless expressly stated otherwise. That is, unless expressly stated otherwise, each feature is only an example of a generic series of equivalent or similar features.
The following detailed description of embodiments of the invention refers to the accompanying drawings and examples.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating an intelligent audio content traffic distribution method according to an embodiment of the present invention.
The method comprises the following steps:
s11: and constructing an audio content playlist representation system according to the user behaviors.
Specifically, the system for constructing the audio content playlist representation according to the user behavior comprises the following steps: and constructing an audio content playlist representation system according to the audio content click data and/or the audio content play data and/or the audio content comment data and/or the audio content listening data.
The user behavior or the historical behavior of the user includes: the click behavior of the user, the play behavior of the user, the comment behavior of the user, or the listening behavior of the user, and the formed data includes, but is not limited to, the following dimensional information: (1): click dimension data of the audio; (2): playing dimension data of the audio; (3): comment dimensional data for audio; (4): listening dimension data for audio.
S12: and updating the audio content playlist representation system according to the user behavior data processing result.
Specifically, the system for updating the audio content playlist representation according to the user behavior data processing result comprises: and carrying out data processing according to the audio content click data and/or the audio content play data and/or the audio content comment data and/or the audio content listening data, and updating the obtained audio content click rate data and the audio content play completion rate data to the audio content playing portrait system.
It should be noted that the updating of the audio content playbill representation system includes data mining based on the data formed in the above steps, and data statistics, and data operation processing is performed to construct click rate dimension data of the audio content and play completion rate dimension data of the audio content, and the click rate dimension data of the audio content and the play completion rate dimension data of the audio content are updated to the audio content playbill representation system to form a new audio content playbill representation system in real time, so that comprehensiveness and accuracy of data information are guaranteed.
S13: and training an audio content value estimation model according to the audio content playlist representation system to obtain an audio content flow distribution scheme.
Specifically, please refer to fig. 2 and fig. 3, in which fig. 2 is a schematic structural flow diagram of an intelligent audio content traffic distribution method according to an embodiment of the present invention. Fig. 3 is a schematic algorithm flow diagram of an intelligent audio content traffic distribution method according to an embodiment of the present invention. The method for obtaining the audio content flow distribution scheme by training the audio content value estimation model according to the audio content playlist representation system comprises the following steps: when the value of the target audio content is predicted, inputting the click rate, listening duration, playing completion rate and comment number of the audio content in the previous month to a model, and outputting the overall quality fluctuation information of the audio content; and obtaining the flow value of the audio content distribution based on the multiplication of the amplitude information and the basic flow distribution.
Specifically, the process of training the audio content value estimation model according to the audio content playlist representation system to obtain the audio content flow distribution scheme is as follows:
determination of characteristics: extracting all programs of a main broadcast from all program history data of the main broadcast:
click rate, listening duration, playing completion rate, comment number, integral quality of the day and the like of all programs from the first day, the second day to the 60 th day on line.
It should be noted that the click rate, the listening duration, the play-done rate and the number of comments in the feature may be an average click rate, an average listening duration, an average play-done rate and an average number of comments of all programs.
The method for determining the overall quality comprises the following steps: click rate normalization + listening duration normalization + completion broadcast rate normalization + comment number normalization)/4.
As shown in fig. 3, the input of the model is the click rate, listening duration, playing completion rate, and number of comments of the nth to the n +60 th days of the on-line of each program of the target anchor.
The input sequence is as follows:
day n: click rate, listening duration, playing completion rate and number of comments
Day n + 1: click rate, listening duration, playing completion rate and number of comments
…
Day n + 59: click rate, listening duration, play-out rate, number of comments
And the audio content value estimation model is subjected to operation processing through bi-rnn + dnn + SIGMOID, namely a bidirectional cyclic neural network, a deep neural network and a SIGMOD function, and then label (the integral quality at the n +60 th day-the integral quality at the n +59 th day) obtains a flow distribution scheme.
Specifically, the estimation method comprises the following steps: and training a program value evaluation model for each anchor of the platform, inputting the daily click rate, listening duration, broadcasting completion rate and comment number of the program in the previous month into the model when the value of a certain program of the anchor is predicted, and outputting the program overall quality expansion. The flow value to be distributed next time is obtained by multiplying the basic flow distribution by the fluctuation information. If the number is positive, more flow distribution is carried out; if negative, less traffic allocation is made. And the platform distributes the flow of different audio contents according to the distribution scheme of the pre-estimated information.
It should be noted that, in order to achieve comprehensive and accurate basic data information and obtain a more accurate allocation scheme, the intelligent allocation method for audio content traffic in the embodiment of the present invention further includes an iterative optimization step, that is, the latest data of the day is added to the training sequence every day, and the audio content value estimation model is retrained, so that a more accurate traffic allocation scheme is obtained.
It should be noted that when new audio content exists or may be called as a new program, a traffic distribution scheme of the new program needs to be predicted, the new program of the anchor may be transmitted to the program value estimation model, and first, traffic is distributed according to the basic value, and according to an index constructed by the model, it is found whether more traffic needs to be distributed, that is, more traffic brings more value, and the traffic distribution of the new program of the playlist is guided, so that the traffic is used most reasonably.
Of course, the embodiment of the present invention is not limited to the foregoing method for intelligently allocating the traffic of the audio content, and may also be implemented by other methods. The embodiment of the present invention does not specifically limit which method is adopted.
On the basis of the foregoing embodiments, an intelligent audio content flow distribution device is correspondingly provided in an embodiment of the present invention, and specifically refer to fig. 4. The device comprises:
the playbill portrait system generation module is used for constructing an audio content playbill portrait system according to user behaviors;
the playbill portrait system updating module is used for updating the audio content playbill portrait system according to the user behavior data processing result;
and the audio content value estimation model training module is used for training an audio content value estimation model according to the audio content playlist representation system to obtain an audio content flow distribution scheme.
It should be noted that the embodiment of the present invention has the same beneficial effects as the intelligent audio content traffic distribution method in the foregoing embodiment, and for specific descriptions of the intelligent audio content traffic distribution method in the embodiment of the present invention, please refer to the foregoing embodiment, and details are not described herein again.
On the basis of the foregoing embodiments, an embodiment of the present invention further provides an intelligent audio content traffic distribution device, including:
a memory for storing a computer program;
a processor for implementing the steps of the intelligent audio content traffic distribution method when executing the computer program.
It should be noted that the embodiment of the present invention has the same beneficial effects as the intelligent audio content traffic distribution method in the foregoing embodiment, and for the specific description of the intelligent audio content traffic distribution method in the embodiment of the present invention, please refer to the foregoing embodiment, which is not described herein again.
On the basis of the foregoing embodiments, the present invention further provides a computer-readable storage medium, where a computer program is stored, and when the computer program is executed by a processor, the method implements the steps of the intelligent audio content traffic distribution method described above.
It should be noted that the embodiment of the present invention has the same beneficial effects as the intelligent audio content traffic distribution method in the foregoing embodiment, and for the specific description of the intelligent audio content traffic distribution method in the foregoing embodiment of the present invention, please refer to the foregoing embodiment, which is not described herein again.
It is further noted that, in the present specification, relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising one of 8230; \8230;" 8230; "does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, read-only memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The previous description of the disclosed embodiments is provided to enable any person skilled in the art to make or use the present invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the generic principles defined herein may be applied to other embodiments without departing from the spirit or scope of the invention. Thus, the present invention is not intended to be limited to the embodiments shown herein but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.
Claims (9)
1. An intelligent distribution method for audio content traffic is characterized by comprising the following steps:
constructing an audio content playlist portrait system according to user behaviors;
updating the audio content playlist representation system according to the user behavior data processing result;
training an audio content value estimation model according to an audio content playlist representation system to obtain an audio content flow distribution scheme;
the process of training an audio content value pre-estimation model according to an audio content order-broadcasting portrait system to obtain an audio content flow distribution scheme comprises the following steps: when the value of the target audio content is predicted, inputting the click rate, the listening duration, the playing completion rate and the comment number of the audio content in the preset time to the model, and outputting the overall quality fluctuation information of the audio content; and obtaining the flow value distributed by the audio content based on the multiplication of the fluctuation information and the basic flow distribution.
2. The intelligent audio content traffic distribution method according to claim 1, wherein the building of an audio content playlist representation system according to user behavior comprises: and constructing an audio content playlist representation system according to the audio content click data and/or the audio content play data and/or the audio content comment data and/or the audio content listening data.
3. The intelligent audio content traffic distribution method according to claim 1, wherein the updating of the audio content playlist representation system according to the user behavior data processing result comprises: and carrying out data processing according to the audio content click data and/or the audio content play data and/or the audio content comment data and/or the audio content listening data, and updating the obtained audio content click rate data and the audio content play completion rate data to the audio content playing portrait system.
4. The intelligent audio content traffic distribution method according to claim 1, wherein the training of the audio content value estimation model according to the audio content order representation system to obtain the audio content traffic distribution scheme comprises: and training an audio content value evaluation model according to each anchor of the platform.
5. The method of claim 1, wherein the training of the audio content value estimation model according to the audio content order representation system to obtain the audio content flow distribution scheme comprises: and periodically adding the updated data to the training sequence, and retraining the audio content value estimation model.
6. The intelligent audio content flow distribution method according to claim 1 or 5, wherein the training of the audio content value estimation model according to the audio content playlist representation system to obtain the audio content flow distribution scheme comprises: if the result obtained by multiplying the information of the amplitude by the basic flow distribution is positive, performing more flow distribution; and if the result obtained by multiplying the basic flow distribution by the amplitude information is a negative number, performing less flow distribution.
7. An intelligent audio content traffic distribution device, comprising:
the playlist representation system generation module is used for constructing an audio content playlist representation system according to user behaviors;
the playbill portrait system updating module is used for updating the audio content playbill portrait system according to the user behavior data processing result;
the audio content value estimation model training module is used for training an audio content value estimation model according to an audio content order representation system to obtain an audio content flow distribution scheme;
the process of training an audio content value pre-estimation model according to an audio content order-broadcasting portrait system to obtain an audio content flow distribution scheme comprises the following steps: when the value of the target audio content is predicted, inputting the click rate, listening duration, playing completion rate and comment number of the audio content every day in the preset time to the model, and outputting the overall quality fluctuation information of the audio content; and obtaining the flow value distributed by the audio content based on the multiplication of the fluctuation information and the basic flow distribution.
8. An intelligent audio content traffic distribution device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the intelligent audio content traffic distribution method according to any one of claims 1 to 6 when executing said computer program.
9. A computer-readable storage medium, having stored thereon a computer program which, when being executed by a processor, carries out the steps of the intelligent distribution method of audio content traffic according to any one of claims 1 to 6.
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