CN110401844A - Generation method, device, equipment and the readable medium of net cast strategy - Google Patents
Generation method, device, equipment and the readable medium of net cast strategy Download PDFInfo
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- CN110401844A CN110401844A CN201910778241.1A CN201910778241A CN110401844A CN 110401844 A CN110401844 A CN 110401844A CN 201910778241 A CN201910778241 A CN 201910778241A CN 110401844 A CN110401844 A CN 110401844A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
Abstract
The present disclosure discloses generation method, device, equipment and the readable mediums of a kind of net cast strategy.This method comprises: if it is determined that the main broadcaster user of current live video be new main broadcaster user, then obtain assessment data；The assessment packet include new main broadcaster user's representation data, stand in online bean vermicelli representation data and at least one of video subject distributed data in standing；The live streaming strategy of the current live video is generated according to the assessment data, the live streaming strategy is for assisting new main broadcaster's user optimization current live video content.The new main broadcaster user that the scheme of the embodiment of the present disclosure can be implemented as having just enter into live streaming industry generates live streaming strategy, to help new main broadcaster user to improve the temperature of first live video, attracts a large amount of bean vermicelli, and then improves the live streaming enthusiasm of new main broadcaster user.
Description
Technical field
The embodiment of the present disclosure is related to Internet technical field more particularly to a kind of generation method of net cast strategy, dress
It sets, equipment and readable medium.
Background technique
Currently, main broadcaster user can be straight to attract by opening net cast function in live video class application program
Broadcast spectators user's viewing on platform.
When new main broadcaster user starts live streaming for the first time, since new main broadcaster user does not have history live data to refer to, and
Live streaming experience is insufficient, is easy to appear the lower situation of live video temperature state.And due to influencing live video temperature state
Factor is more, and new main broadcaster user is difficult accurately to grasp the lower grade reason of live video, and then also can not just accomplish in real time accurately
Effectively optimization is carried out to the content of live video to improve video temperature, the strong influence live streaming enthusiasm of new main broadcaster causes
The loss of new main broadcaster user.
Summary of the invention
The embodiment of the present disclosure provides generation method, device, equipment and the readable medium of a kind of net cast strategy, with reality
Live streaming strategy now is generated to have just enter into the new main broadcaster user of live streaming industry, to help new main broadcaster user to improve first live video
Temperature attracts a large amount of bean vermicelli, and then improves the live streaming enthusiasm of new main broadcaster user.
In a first aspect, the embodiment of the present disclosure provides a kind of generation method of net cast strategy, this method comprises:
If it is determined that the main broadcaster user of current live video is new main broadcaster user, then assessment data are obtained；The assessment data
Including new main broadcaster user's representation data, stand in online bean vermicelli representation data and in standing in video subject distributed data at least
One；
The live streaming strategy of the current live video is generated according to the assessment data, the live streaming strategy is for assisting institute
State new main broadcaster's user optimization current live video content.
Second aspect, the embodiment of the present disclosure additionally provide a kind of generating means of net cast strategy, which includes:
Assess data acquisition module, for if it is determined that current live video main broadcaster user be new main broadcaster user, then obtain
Assess data；The assessment packet include new main broadcaster user's representation data, stand in view in online bean vermicelli representation data and station
At least one of frequency theme distribution data；
Policy generation module is broadcast live, for generating the live streaming strategy of the current live video according to the assessment data,
The live streaming strategy is for assisting new main broadcaster's user optimization current live video content.:
The third aspect, the embodiment of the present disclosure additionally provide a kind of electronic equipment, which includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the generation method of the net cast strategy as described in disclosure any embodiment.
Fourth aspect, the embodiment of the present disclosure provide a kind of readable medium, are stored thereon with computer program, the program quilt
The generation method of the net cast strategy as described in disclosure any embodiment is realized when processor executes.
The embodiment of the present disclosure provides generation method, device, equipment and the readable medium of a kind of net cast strategy, new
Assessment data are obtained when main broadcaster's user live broadcast video, and are that new main broadcaster user generates live streaming strategy according to assessment data, so that newly
Main broadcaster user is based on the live streaming policy optimization current live video content.The scheme of the embodiment of the present disclosure realizes straight to have just enter into
The new main broadcaster user for broadcasting industry generates live streaming strategy, to help new main broadcaster user to improve the temperature of first live video, attracts big
The bean vermicelli of amount, and then improve the live streaming enthusiasm of new main broadcaster user.
Detailed description of the invention
In conjunction with attached drawing and refer to following specific embodiments, the above and other feature, advantage of each embodiment of the disclosure and
Aspect will be apparent.In attached drawing, the same or similar appended drawing reference indicates the same or similar element.It should manage
Solution attached drawing is schematically that original part and element are not necessarily drawn to scale.
Fig. 1 shows a kind of flow chart of the generation method of net cast strategy of embodiment of the present disclosure offer；
Fig. 2 shows the flow charts of the generation method of another net cast strategy of embodiment of the present disclosure offer；
Fig. 3 shows the flow chart of the generation method of another net cast strategy of embodiment of the present disclosure offer；
Fig. 4 shows a kind of structural schematic diagram of the generating means of net cast strategy of embodiment of the present disclosure offer；
Fig. 5 shows the structural schematic diagram of a kind of electronic equipment of embodiment of the present disclosure offer.
Specific embodiment
Embodiment of the disclosure is more fully described below with reference to accompanying drawings.Although showing the certain of the disclosure in attached drawing
Embodiment, it should be understood that, the disclosure can be realized by various forms, and should not be construed as being limited to this
In the embodiment that illustrates, providing these embodiments on the contrary is in order to more thorough and be fully understood by the disclosure.It should be understood that
It is that being given for example only property of the accompanying drawings and embodiments effect of the disclosure is not intended to limit the protection scope of the disclosure.
It should be appreciated that each step recorded in disclosed method embodiment can execute in a different order,
And/or parallel execution.In addition, method implementation may include additional step and/or omit the step of execution is shown.This public affairs
The range opened is not limited in this respect.
Terms used herein " comprising " and its deformation are that opening includes, i.e., " including but not limited to ".Term "based"
It is " being based at least partially on ".Term " one embodiment " expression " at least one embodiment "；Term " another embodiment " indicates
" at least one other embodiment "；Term " some embodiments " expression " at least some embodiments ".The correlation of other terms is fixed
Justice provides in will be described below.
It is noted that the concepts such as " first " that refers in the disclosure, " second " are only used for different devices, module or list
Member distinguishes, and is not intended to limit the sequence or relation of interdependence of function performed by these devices, module or unit.
It is noted that referred in the disclosure "one", the modification of " multiple " be schematically and not restrictive this field
It will be appreciated by the skilled person that being otherwise construed as " one or more " unless clearly indicate otherwise in context.The disclosure is real
The title for applying the message or information that are interacted between multi-party in mode is for illustrative purposes only, and is not used to pair
The range of these message or information is limited.
Fig. 1 is a kind of flow chart of the generation method for net cast strategy that the embodiment of the present disclosure provides, and the present embodiment can
Suitable for during new main broadcaster's user live broadcast, the situation of net cast strategy is generated for new main broadcaster user, this method can be with
Executed by the generating means or electronic equipment of net cast strategy, the device can by way of software and/or hardware come
It realizes, which can be only fitted in electronic equipment.Optionally, which can be the rear end live streaming platform of application program
Corresponding equipment can also be the mobile terminal device for being equipped with application client.
Optionally, as shown in Figure 1, the method in the present embodiment may include steps of:
S101, however, it is determined that the main broadcaster user of current live video is new main broadcaster user, then obtains assessment data.
Wherein, new main broadcaster user can be new be added and platform be broadcast live, and lack the main broadcaster user of live streaming experience.Assessing data can
To be for generating reference data based on live streaming strategy, which be can include but is not limited to: new main broadcaster user draws
As data, stand in online bean vermicelli representation data and at least one of video subject distributed data in standing.Specifically, representation data
It can be the tool for delineating the various dimensions features such as target person attributive character, behavioural characteristic or hobby feature, can be to each
The feature abstraction of dimension is drawn a portrait at label, using these labels precisely to delineate personage.New main broadcaster user in the present embodiment draws
As data are to delineate personage's portrait of each dimensional attribute feature tag of new main broadcaster user；Online bean vermicelli representation data is to delineate in standing
Personage's portrait of each dimensional attribute feature tag of current online each bean vermicelli in platform station is broadcast live.Video subject distribution in standing
Data can refer in live streaming platform station in the total video resource that is possessed, each type of theme video dividing in total video resource
Cloth situation optionally can be the quantity of each type of theme video, can also be that each type of theme video accounts in total video resource
Ratio etc..
Optionally, since the live streaming strategy that the present embodiment generates is mainly used for the live streaming for assisting new main broadcaster's user optimization current
Video content, so it is the new main broadcaster user for lacking live streaming experience that this step, which can be the main broadcaster user in current live video,
When, obtain assessment data.Specifically, determining whether the main broadcaster user of current live video is that the method for new main broadcaster user has very
It is more, for example, it may be checking the details of the main broadcaster user of current live video, judge the Account Registration of the main broadcaster user
Whether the time differs with current time is less than preset period of time (such as three days), if being less than, illustrates the main broadcaster user for new main broadcaster use
Family.It can also be the temperature state for judging current live video, if its temperature state is lower than preset state, it is determined that current live
Video main broadcaster user is new main broadcaster user.It can also be the identification information for obtaining the main broadcaster user of current live video；With described
Identification information is index, and the corresponding history live data of the identification information is searched in history live data library；If finding
The quantity of the corresponding history live data of the identification information be less than amount threshold, it is determined that the main broadcaster of current live video uses
Family is new main broadcaster user.Wherein, the identification information of main broadcaster user can be the information that can uniquely represent main broadcaster's user identity, example
Such as, user name, register account number, cell-phone number, the room number etc. of main broadcaster user be can be.Live streaming platform end can be set one and go through
History live data library, the history live video data that each main broadcaster user being specifically used in storage platform had been broadcast live.It is optional
, history live data library, which can be, is associated with pass with the foundation of the identification information of its main broadcaster user for each history live video data
System, is indexed each main broadcaster's user's history live video data so as to subsequent；Can also be to be each main broadcaster's user setting one
Memory space, record has the history live data of the main broadcaster user in the space, and the mark of memory space can be main broadcaster user
Identification information.Amount threshold can be pre-set for judging whether main broadcaster's user's history live streaming quantity meets newly
The judgment criteria of main broadcaster user, wherein the amount threshold can be 1, and new main broadcaster user at this time is in the live streaming platform history
The main broadcaster user that number is 0 is broadcast live；The amount threshold is also possible to the positive integer greater than 1, for example, it may be 3, new master at this time
Broadcasting user is that main broadcaster user of the number less than 3 times is broadcast live in the live streaming platform history.
Optionally, in this step, if electronic equipment has determined that the main broadcaster user of current live video is new main broadcaster user
Afterwards, acquisition assessment data just be will start, specific acquisition process is as follows: due to new main broadcaster user's representation data in assessment data
Personage's representation data is belonged to bean vermicelli representation data online in station, so the acquisition modes of both assessment data are similar.Its
In, a kind of embodiment can be, if being prerecorded with each main broadcaster user and bean vermicelli user of its management in live streaming platform
Representation data, then can according to actual needs from live streaming platform obtain current live new main broadcaster user representation data and/or
When the representation data for inherent line bean vermicelli of setting out in advance to make arrangements.Another embodiment can be, and is broadcast live in platform and will record each of its management
The essential information and the operation data on live streaming platform etc. of main broadcaster user and bean vermicelli user, i.e. main broadcaster's user data and bean vermicelli
User data.Electronic equipment obtains new main broadcaster's user data and/or bean vermicelli user data from live streaming platform, and the new main broadcaster is used
Online number of fans obtains new main broadcaster user's representation data and/or station according to input user's portrait model in user data and/or station
Interior online bean vermicelli representation data.Wherein, user's portrait model can be trained in advance, for being sketched out according to user data
The neural network model of user's representation data.The sample data of training user portrait model can be including a large number of users
User data and user's representation data of each user.Specific execution method can be, and electronic equipment is obtained from live streaming platform
After new main broadcaster's user data and/or bean vermicelli user data, the corresponding program code of user's portrait model is called, then will acquire
New main broadcaster's user data and/or bean vermicelli user data run the corresponding program code of user portrait model as input data,
User's portrait model will be analyzed and processed the data of input, export online in new main broadcaster user's representation data and/or station
Bean vermicelli representation data.
For video subject distributed data in the station in assessment data, a kind of embodiment of acquisition methods be can be
Platform is broadcast live in advance according to having type of theme belonging to video in its station, has counted the distribution feelings of various themes in standing
Condition, that is, interior video subject distributed data of standing, electronic equipment directly can interact video in acquisition station with live streaming platform at this time
Theme distribution data.Another embodiment can be, and the related data for only recording in platform and having interior video of standing be broadcast live, not
There is video subject distributed data in statistics station, electronic equipment can be according to the corresponding video counts of type of theme each in station at this time
Amount determines video subject distributed data in standing.It is interacted specifically, can be electronic equipment with live streaming platform, it is flat from live streaming
Then the type of theme of each video in platform acquisition station counts the corresponding video counts magnitude of each type of theme, and then calculates in outbound
Distributed quantity or specific gravity of each type of theme video in live streaming platform station, as video subject distributed data in standing.
Optionally, this step can obtain new main broadcaster user's portrait according to above-mentioned at least one assessment data capture method
Data, stand in online bean vermicelli representation data and at least one of video subject distributed data in standing.
S102 generates the live streaming strategy of current live video according to assessment data, and the live streaming strategy is for assisting new main broadcaster
User optimization current live video content.
Wherein, live streaming strategy can be the suggestion data for instructing main broadcaster's user live broadcast, can include but is not limited to: it is recommended that
When live streaming time of main broadcaster user, live streaming type of theme, live streaming and the interaction content of bean vermicelli and prediction main broadcaster start broadcasting after open
Broadcast income etc..Main broadcaster's strategy can be used for assisting new main broadcaster's user optimization current live video content.
Optionally, due to the S101 assessment packet obtained include new main broadcaster user's representation data, stand in online bean vermicelli portrait
Data and at least one of interior video subject distributed data of standing, so this step is generated in the assessment data obtained according to S101
May include following at least one situation when the live streaming strategy of current criteria video:
Situation one, when S101 obtain assessment data be new main broadcaster user's representation data when, can be according to new main broadcaster use
Family representation data determines the net cast advantage of new main broadcaster user, the live streaming strategy as the current live video.Wherein,
Net cast advantage can refer to the ability that main broadcaster user is capable of providing live video, i.e. main broadcaster user's content for being good at live streaming,
Video main broadcaster's advantage can be to be obtained from the hobby label in main broadcaster user's representation data, the net cast that then will acquire
Strategy is broadcast live as the suggestion to new main broadcaster user in advantage.For example, if new main broadcaster user is good at singing, in representation data
Singing is just had in hobby label, it is excellent net cast can be extracted from the hobby label of new main broadcaster user's representation data at this time
Gesture is sung, and live streaming singing subject content then will be suggested as live streaming strategy.
Situation two, when the assessment data that S101 is obtained are online bean vermicelli representation data in station, can be inherent according to station
Line bean vermicelli representation data determines the hobby data of online bean vermicelli and/or interaction active degree data in station, as described current straight
Broadcast the live streaming strategy of video.Wherein, online bean vermicelli can refer to all in current time live streaming platform station log in online in standing
Bean vermicelli.The hobby data of online bean vermicelli can be the fancy grade of each online bean vermicelli hobby video subject type in standing；It can be with
It is the fancy grade etc. for liking main broadcaster's type.It is flat in live streaming to can be each bean vermicelli for the interaction active degree data of online bean vermicelli in standing
The active degree of comment exchange in the station, for example, if barrage, the powder are being left a message when watching live video or sent out to bean vermicelli hobby
The interaction active degree of silk is high；If the viewing live video of bean vermicelli hobby silently, the interaction active degree of the bean vermicelli are low.Specifically
, for the situation two, electronic equipment can in acquisition station in the hobby label in online bean vermicelli representation data each in slave station
Then the hobby data of line bean vermicelli count the hobby data of each online bean vermicelli, selection hobby Data duplication rate is highest
Strategy is broadcast live as the suggestion for being supplied to new main broadcaster user in one or more hobby data；From the interaction of online bean vermicelli representation data
Then interaction active degree data in label in acquisition station in each line bean vermicelli carry out the interaction active degree of each online bean vermicelli
Statistics, if the high online bean vermicelli quantity of active degree is greater than the low online bean vermicelli quantity of active degree, will it is recommended to increase with powder
Strategy is broadcast live as the suggestion for being supplied to new main broadcaster user in the interaction of silk, otherwise will suggest being absorbed in live streaming, reduction is interacted with bean vermicelli
Strategy is broadcast live as the suggestion for being supplied to new main broadcaster user.
Situation three, when S101 obtain assessment data be stand in video subject distributed data when, can be according to station in view
Frequency theme distribution data determine the rare theme in the station, the live streaming strategy as the current live video.Wherein, dilute
Scarce theme can refer to video subject type lacking in live streaming platform station.It is regarded in the station according to acquisition specifically, can be
Frequency theme distribution data determine the quantity or each type of theme number of videos of the existing corresponding each type of theme of live video in station
The specific gravity for accounting for total video quantity selects quantity or the smallest one or more type of theme of specific gravity ranking as rare theme, and
Strategy is broadcast live using the rare theme as the suggestion to new main broadcaster user.
It optionally, in the embodiments of the present disclosure, can also basis in order to further increase the enthusiasm of main broadcaster's user live broadcast
Assessment data predict the income that starts broadcasting of the main broadcaster user, and the income that starts broadcasting predicted is built as the income in the live streaming strategy
View, for showing the corresponding income effect of the live streaming strategy to main broadcaster user.Specifically, predicting that the main broadcaster uses according to assessment data
Family start broadcasting income when, can be according to the net cast advantage of pre-set new main broadcaster user and online bean vermicelli hobby data
Similarity and bean vermicelli income between incidence relation predict the income of main broadcaster, i.e. similarity is higher, then it is more to preset income；
It can also be the similarity and bean vermicelli of the rare theme in the net cast advantage and station according to pre-set new main broadcaster user
Incidence relation between income predicts the income of main broadcaster, i.e. similarity is higher, then it is more to preset income.The embodiment of the present disclosure exists
The income that starts broadcasting for increasing the main broadcaster user of prediction in live streaming strategy can give the direct revenue type stimulation of live streaming user, improve
The rate that starts broadcasting of main broadcaster user.
Optionally, since the live streaming strategy that the present embodiment generates is to assist new main broadcaster's user optimization current live video
Content, even if in order to allow new main broadcaster user to obtain live streaming strategy in live streaming, so it is raw according to assessment data to have executed this step
It can also include: that the live streaming strategy is sent to the new main broadcaster to use after live streaming strategy at the current live video
Family.Specifically, can be the application client installed in the affiliated terminal of new main broadcaster user sends the live streaming strategy,
In, live streaming strategy, which can be, is sent to new main broadcaster user in the form of notification message, the acknowledgement message of live video, pop-up etc..Newly
It, can be according to the suggestion on live streaming strategy, in conjunction with the actual conditions of oneself, to current after main broadcaster user receives the live streaming strategy
Live content optimizes, and improves the quality of subsequent live video, attracts more beans vermicelli.
The embodiment of the present disclosure provides a kind of generation method of net cast strategy, obtains in new main broadcaster's user live broadcast video
Assessment data are taken, and are that new main broadcaster user generates live streaming strategy according to assessment data, so that new main broadcaster user is based on the live streaming plan
Slightly optimize current live video content.The scheme of the embodiment of the present disclosure realizes raw to have just enter into the new main broadcaster user of live streaming industry
At live streaming strategy, to help new main broadcaster user to improve the temperature of first live video, attract a large amount of bean vermicelli, and then improves new main
The live streaming enthusiasm of broadcasting user.
Fig. 2 shows the flow chart of the generation method of another net cast strategy of embodiment of the present disclosure offer, this realities
It applies example to be optimized on the basis of each optinal plan provided by the above embodiment, show in particular when assessment packet includes newly
Main broadcaster user's representation data, stand in online bean vermicelli representation data and in standing when video subject distributed data, according to the assessment number
According to a kind of details introduction of the embodiment for the live streaming strategy for generating the current live video.
Optionally, as shown in Fig. 2, the method in the present embodiment may include steps of:
S201, however, it is determined that the main broadcaster user of current live video is new main broadcaster user, then obtains assessment data.
Wherein, assessment packet include new main broadcaster user's representation data, stand in online bean vermicelli representation data and video master in standing
Inscribe distributed data.
S202 determines general live streaming strategy according to video subject distributed data in bean vermicelli representation data online in station and station.
Wherein, general live streaming strategy can be the index strategy suitable for all main broadcasters.
Optionally, due to online bean vermicelli representation data in standing and in standing video subject distributed data be according in station it is all
All video datas come out in line bean vermicelli data and station, so according to bean vermicelli representation data online in standing and interior video of standing
Theme distribution data, the live streaming strategy determined are applicable to main broadcaster user all in station, i.e., general live streaming strategy.Specifically
, this step can be first according to bean vermicelli representation data online in station, determine the hobby data and/or interaction of online bean vermicelli in station
Active degree data, as the first general policies in general live streaming strategy；According to video subject distributed data in standing, institute is determined
The rare theme in station is stated, as the second general policies in general live streaming strategy；Finally the first general policies and second are led to
It is merged with strategy, obtains general live streaming strategy.
It should be noted that how this step determines the happiness of station in online bean vermicelli according to bean vermicelli representation data online in station
Good data and/or interaction active degree data；And it how according to video subject distributed data in standing, determines dilute in the station
Introduction has been carried out in above-described embodiment in the process for lacking theme, herein without repeating.
S203 is determined for compliance with the target of new main broadcaster user according to new main broadcaster user's representation data from general live streaming strategy
Live streaming strategy, the live streaming strategy as current live video.
Optionally, since the S202 general live streaming strategy determined is all general live streaming strategy of interior all main broadcaster users of standing,
The live streaming strategy coverage is wider, is not necessarily suitable the new main broadcaster user of current live.For example, if general live streaming is tactful
It is the video content of online bean vermicelli hobby game class and the theme of song and dance class in station, is lacked exercise in the video of class theme in platform
Hold, and main broadcaster user is bad at game and movement, it is tactful using the live streaming suggestion of game class and movement class theme as live streaming at this time,
The live streaming strategy is not suitable for current new main broadcaster user yet.So this step can be the portrait number according to new main broadcaster user
According to, determine the net cast advantage of new main broadcaster user, then according to the net cast advantage of new main broadcaster user to S202 determine
General live streaming strategy is screened, and the live streaming strategy not being inconsistent with main broadcaster's advantage of main broadcaster user is rejected, and obtains meeting new main broadcaster's use
Strategy is broadcast live in the target at family, and using the target strategy as the live streaming strategy of current live video.
It should be noted that how this step determines the video of new main broadcaster user according to the representation data of new main broadcaster user
Introduction has been carried out in above-described embodiment in the process of live streaming advantage, herein without repeating.
Live streaming strategy is sent to new main broadcaster user, to assist new main broadcaster's user optimization current live video content by S204.
The embodiment of the present disclosure provides a kind of generation method of net cast strategy, obtains in new main broadcaster's user live broadcast video
In taking including new main broadcaster user's representation data, standing online bean vermicelli representation data and in standing video subject distributed data assessment number
According to video subject distributed data according to online bean vermicelli representation data in station and in standing determines general live streaming strategy, further according to new master
Broadcasting user representation data, the target live streaming strategy that new main broadcaster user is determined for compliance with from general live streaming strategy are regarded as current live
The live streaming strategy of frequency is sent to new main broadcaster user, so that new main broadcaster user is based in the live streaming policy optimization current live video
Hold.The scheme of the embodiment of the present disclosure first determines general live streaming strategy, further refines out the target for meeting new main broadcaster user
Live streaming strategy guarantees that more accurately live streaming is tactful for the transmission of new main broadcaster's user flexibility, improves the live-experience of new main broadcaster user.
Fig. 3 shows the flow chart of the generation method of another net cast strategy of embodiment of the present disclosure offer, this reality
It applies example to be optimized on the basis of each optinal plan provided by the above embodiment, show in particular according to the assessment data
Generate the details introduction of another embodiment of the live streaming strategy of the current live video.
Optionally, as shown in figure 3, the method in the present embodiment may include steps of:
S301 is trained initial network model according to sample data, obtains live streaming Policy model.
Wherein, sample data can be the training data of the initial neural network model of training, can be including a large amount of
Assess sample data and its tactful sample data of corresponding live streaming.Optionally, assessment sample data includes that sample main broadcaster user draws
As at least one of data, sample bean vermicelli representation data and Sample video theme distribution data.
Optionally, this step can be in the initial neural network model of training by each group of assessment in sample data
Sample data and its tactful sample data of corresponding live streaming are input in neural network model, to various in neural network model
Parameter is trained optimization, and the network composition of the initial network model after training does not change, only optimized and revised initial
The numerical value of each parameter of network model.
For whether can be used as live streaming Policy model using the neural network model after sample data training, it is also necessary to adopt
The initial network model after training is verified with verify data.Wherein, after verify data can be for verifying training
Data are assessed in the whether satisfactory verifying of initial network model, which may include verifying main broadcaster user's portrait number
According to, verifying bean vermicelli representation data and verifying at least one of video subject distributed data.The verify data can be basis and exist
Moment where verifying neural network model finds the lower grade main broadcaster user of live streaming from live streaming platform, as testing
Main broadcaster user is demonstrate,proved, obtains its representation data as verifying main broadcaster user's representation data；Obtain bean vermicelli portrait number in verifying moment station
According to as verifying bean vermicelli representation data；It obtains video subject distributed data in verifying moment station and is used as verifying video subject distribution number
According to.When being verified to the initial network model after training, it can be and verify data is input to the initial network after training
In model, the corresponding verifying live streaming strategy of the verify data is obtained, verifying live streaming strategy is then sent to verifying main broadcaster and is used
Family allows verifying main broadcaster user that Developing Tactics live content is broadcast live using the verifying, if it is straight to verify main broadcaster after adjustment live content
The temperature for broadcasting video significantly improves, then the initial network model after illustrating training meets the requirements, can be by the original net after training
Otherwise network model needs to reacquire new sample data and continues to instruct initial network model as live streaming Policy model
Practice.
S302, however, it is determined that the main broadcaster user of current live video is new main broadcaster user, then obtains assessment data.
Wherein, assessment packet include new main broadcaster user's representation data, stand in view in online bean vermicelli representation data and station
At least one of frequency theme distribution data.
Assessment data input live streaming Policy model is obtained the live streaming strategy of current live video by S303.
Optionally, this step can be the program code for the live streaming Policy model that electronic equipment calls S301 training to obtain,
Data will be assessed as input data, run the program code, Policy model is broadcast live at this time can be according to excellent in S301 training process
The parameter of change analyzes the assessment data of input, obtains the live streaming strategy of current live video.
Live streaming strategy is sent to new main broadcaster user, to assist new main broadcaster's user optimization current live video content by S304.
The embodiment of the present disclosure provides a kind of generation method of net cast strategy, passes through sample data training initial network
Model obtains live streaming Policy model, and assessment data are obtained in new main broadcaster's user live broadcast video and are input in live streaming Policy model,
The live streaming strategy for obtaining current live video is sent to new main broadcaster user, works as so that new main broadcaster user is based on the live streaming policy optimization
Preceding live video content.The scheme of the embodiment of the present disclosure generates live streaming strategy by the neural network model that training obtains, and generates
Live streaming strategy accuracy it is higher, to more accurately meet the actual demand of new main broadcaster user, improve the straight of new main broadcaster user
Broadcast experience.
Fig. 4 shows a kind of structural schematic diagram of the generating means of net cast strategy of embodiment of the present disclosure offer, this
Open embodiment is applicable to during new main broadcaster's user live broadcast, and the feelings of net cast strategy are generated for new main broadcaster user
Condition.The device can be realized by software and/or hardware, and be integrated in the electronic equipment for executing this method, such as Fig. 4 institute
Show, the apparatus may include:
Assess data acquisition module 401, for if it is determined that current live video main broadcaster user be new main broadcaster user, then obtain
Take assessment data；The assessment packet include new main broadcaster user's representation data, stand in online bean vermicelli representation data and station
At least one of video subject distributed data；
Policy generation module 402 is broadcast live, for generating the live streaming plan of the current live video according to the assessment data
Slightly, the live streaming strategy is for assisting new main broadcaster's user optimization current live video content.
The embodiment of the present disclosure provides a kind of generating means of net cast strategy, obtains in new main broadcaster's user live broadcast video
Assessment data are taken, and are that new main broadcaster user generates live streaming strategy according to assessment data, so that new main broadcaster user is based on the live streaming plan
Slightly optimize current live video content.The scheme of the embodiment of the present disclosure realizes raw to have just enter into the new main broadcaster user of live streaming industry
At live streaming strategy, to help new main broadcaster user to improve the temperature of first live video, attract a large amount of bean vermicelli, and then improves new main
The live streaming enthusiasm of broadcasting user.
Further, described device further include: new main broadcaster's determining module, the module are used for:
Obtain the identification information of the main broadcaster user of current live video；
It is index with the identification information, the corresponding history live streaming of the identification information is searched in history live data library
Data；
If the quantity of the corresponding history live data of the identification information found is less than amount threshold, it is determined that current
The main broadcaster user of live video is new main broadcaster user.
Further, the assessment data acquisition module 401 is specifically used for:
By online number of fans in new main broadcaster's user data and/or station according to input user's portrait model, the new main broadcaster is obtained
Online bean vermicelli representation data in user's representation data and/or station；And/or
According to the corresponding number of videos of type of theme each in station, video master in standing is determined
Further, the live streaming policy generation module 402 is specifically used for:
According to new main broadcaster user's representation data, the net cast advantage of new main broadcaster user is determined, as the current live
The live streaming strategy of video；
According to bean vermicelli representation data online in station, the hobby data of online bean vermicelli and/or interaction active degree in station are determined
Data, the live streaming strategy as the current live video；
According to video subject distributed data in standing, the rare theme in the station is determined, as the current live video
Live streaming strategy.
Further, the live streaming policy generation module 402 also particularly useful for:
According to video subject distributed data in bean vermicelli representation data online in station and station, general live streaming strategy is determined；
According to new main broadcaster user's representation data, the target that new main broadcaster user is determined for compliance with from the general live streaming strategy is straight
Strategy is broadcast, the live streaming strategy as current live video.
Further, the live streaming policy generation module 402 also particularly useful for:
The assessment data are inputted into live streaming Policy model, obtain the live streaming strategy of the current live video.
Further, described device further include:
Model training module obtains live streaming Policy model for being trained according to sample data to initial network model；
The sample data includes assessment sample data and its tactful sample data of corresponding live streaming.
Further, described device further include:
Strategy sends and touches, for the live streaming strategy to be sent to the new main broadcaster user.
The generating means for the net cast strategy that the embodiment of the present disclosure provides, the net cast provided with the various embodiments described above
Strategy generation method belong to same inventive concept, not in the embodiments of the present disclosure the technical detail of detailed description can be found in it is above-mentioned
Each embodiment, and the embodiment of the present disclosure and the various embodiments described above beneficial effect having the same.
Below with reference to Fig. 5, it illustrates the structural representations for the electronic equipment 500 for being suitable for being used to realize the embodiment of the present disclosure
Figure.Electronic equipment in the embodiment of the present disclosure can be the corresponding equipment of rear end live streaming platform of application program, can also be peace
Mobile terminal device equipped with application client.Specifically, the electronic equipment can include but is not limited to such as move electricity
Words, laptop, digit broadcasting receiver, PDA (personal digital assistant), PAD (tablet computer), PMP (portable multimedia
Player), the mobile terminal and such as number TV, desktop computer etc. of car-mounted terminal (such as vehicle mounted guidance terminal) etc.
Fixed terminal.
Electronic equipment 500 shown in Fig. 5 is only an example, should not function and use scope to the embodiment of the present disclosure
Bring any restrictions.
As shown in figure 5, electronic equipment 500 may include processing unit (such as central processing unit, graphics processor etc.)
501, random access can be loaded into according to the program being stored in read-only memory (ROM) 502 or from storage device 508
Program in memory (RAM) 503 and execute various movements appropriate and processing.In RAM 503, it is also stored with electronic equipment
Various programs and data needed for 500 operations.Processing unit 501, ROM 502 and RAM 503 pass through the phase each other of bus 504
Even.Input/output (I/O) interface 505 is also connected to bus 504.
In general, following device can connect to I/O interface 505: including such as touch screen, touch tablet, keyboard, mouse, taking the photograph
As the input unit 506 of head, microphone, accelerometer, gyroscope etc.；Including such as liquid crystal display (LCD), loudspeaker, vibration
The output device 507 of dynamic device etc.；Storage device 508 including such as tape, hard disk etc.；And communication device 509.Communication device
509, which can permit electronic equipment 500, is wirelessly or non-wirelessly communicated with other equipment to exchange data.Although Fig. 5 shows tool
There is the electronic equipment 500 of various devices, it should be understood that being not required for implementing or having all devices shown.It can be with
Alternatively implement or have more or fewer devices.
Particularly, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product comprising being carried on non-transient computer can
The computer program on medium is read, which includes the program code for method shown in execution flow chart.At this
In the embodiment of sample, which can be downloaded and installed from network by communication device 509, or be filled from storage
It sets 508 to be mounted, or is mounted from ROM 502.When the computer program is executed by processing unit 501, the disclosure is executed
The above-mentioned function of being limited in the method for embodiment.
It should be noted that the above-mentioned computer-readable medium of the disclosure can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer readable storage medium for example can be --- but not
Be limited to --- electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Meter
The more specific example of calculation machine readable storage medium storing program for executing can include but is not limited to: have the electrical connection, just of one or more conducting wires
Taking formula computer disk, hard disk, random access storage device (RAM), read-only memory (ROM), erasable type may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In the disclosure, computer readable storage medium can be it is any include or storage journey
The tangible medium of sequence, the program can be commanded execution system, device or device use or in connection.And at this
In open, computer-readable signal media may include in a base band or as the data-signal that carrier wave a part is propagated,
In carry computer-readable program code.The data-signal of this propagation can take various forms, including but not limited to
Electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be computer-readable and deposit
Any computer-readable medium other than storage media, the computer-readable signal media can send, propagate or transmit and be used for
By the use of instruction execution system, device or device or program in connection.Include on computer-readable medium
Program code can transmit with any suitable medium, including but not limited to: electric wire, optical cable, RF (radio frequency) etc. are above-mentioned
Any appropriate combination.
In some embodiments, electronic equipment can use such as HTTP (HyperText Transfer
Protocol, hypertext transfer protocol) etc the network protocols of any currently known or following research and development communicated, and can
To be interconnected with the digital data communications (for example, communication network) of arbitrary form or medium.The example of communication network includes local area network
(" LAN "), wide area network (" WAN "), Internet (for example, internet) and ad-hoc network are (for example, the end-to-end net of ad hoc
Network) and any currently known or following research and development network.
Above-mentioned computer-readable medium can be included in above-mentioned electronic equipment；It is also possible to individualism, and not
It is fitted into the electronic equipment.
Above-mentioned computer-readable medium carries one or more program, when said one or multiple programs are by the electricity
When sub- equipment executes, so that the electronic equipment internal process executes: if it is determined that the main broadcaster user of current live video is new main broadcaster
User then obtains assessment data；The assessment packet include new main broadcaster user's representation data, stand in online bean vermicelli portrait number
According to stand at least one of video subject distributed data；The straight of the current live video is generated according to the assessment data
Strategy is broadcast, the live streaming strategy is for assisting new main broadcaster's user optimization current live video content.
The calculating of the operation for executing the disclosure can be write with one or more programming languages or combinations thereof
Machine program code, above procedure design language include but is not limited to object oriented program language-such as Java,
Smalltalk, C++ further include conventional procedural programming language-such as " C " language or similar program design language
Speech.Program code can be executed fully on the user computer, partly be executed on the user computer, as an independence
Software package execute, part on the user computer part execute on the remote computer or completely in remote computer or
It is executed on server.In situations involving remote computers, remote computer can pass through the network of any kind --- packet
It includes local area network (LAN) or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as benefit
It is connected with ISP by internet).
Flow chart and block diagram in attached drawing are illustrated according to the system of the various embodiments of the disclosure, method and computer journey
The architecture, function and operation in the cards of sequence product.In this regard, each box in flowchart or block diagram can generation
A part of one module, program segment or code of table, a part of the module, program segment or code include one or more use
The executable instruction of the logic function as defined in realizing.It should also be noted that in some implementations as replacements, being marked in box
The function of note can also occur in a different order than that indicated in the drawings.For example, two boxes succeedingly indicated are actually
It can be basically executed in parallel, they can also be executed in the opposite order sometimes, and this depends on the function involved.Also it to infuse
Meaning, the combination of each box in block diagram and or flow chart and the box in block diagram and or flow chart can be with holding
The dedicated hardware based system of functions or operations as defined in row is realized, or can use specialized hardware and computer instruction
Combination realize.
Being described in unit involved in the embodiment of the present disclosure can be realized by way of software, can also be by hard
The mode of part is realized.Wherein, the title of unit does not constitute the restriction to the unit itself under certain conditions.
Function described herein can be executed at least partly by one or more hardware logic components.Example
Such as, without limitation, the hardware logic component for the exemplary type that can be used include: field programmable gate array (FPGA), specially
With integrated circuit (ASIC), Application Specific Standard Product (ASSP), system on chip (SOC), complex programmable logic equipment (CPLD) etc.
Deng.
In the context of the disclosure, machine readable media can be tangible medium, may include or is stored for
The program that instruction execution system, device or equipment are used or is used in combination with instruction execution system, device or equipment.Machine can
Reading medium can be machine-readable signal medium or machine-readable storage medium.Machine readable media can include but is not limited to electricity
Son, magnetic, optical, electromagnetism, infrared or semiconductor system, device or equipment or above content any conjunction
Suitable combination.The more specific example of machine readable storage medium will include the electrical connection of line based on one or more, portable meter
Calculation machine disk, hard disk, random access memory (RAM), read-only memory (ROM), Erasable Programmable Read Only Memory EPROM (EPROM
Or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage facilities or
Any appropriate combination of above content.
According to a kind of generation method for net cast strategy that one or more other embodiments of the present disclosure provide, this method packet
It includes:
If it is determined that the main broadcaster user of current live video is new main broadcaster user, then assessment data are obtained；The assessment data
Including new main broadcaster user's representation data, stand in online bean vermicelli representation data and in standing in video subject distributed data at least
One；
The live streaming strategy of the current live video is generated according to the assessment data, the live streaming strategy is for assisting institute
State new main broadcaster's user optimization current live video content.
According to one or more other embodiments of the present disclosure, in the above method, determine that the main broadcaster user of current live video is
New main broadcaster user, comprising:
Obtain the identification information of the main broadcaster user of current live video；
It is index with the identification information, the corresponding history live streaming of the identification information is searched in history live data library
Data；
If the quantity of the corresponding history live data of the identification information found is less than amount threshold, it is determined that current
The main broadcaster user of live video is new main broadcaster user.
According to one or more other embodiments of the present disclosure, in the above method, assessment data are obtained, comprising:
By online number of fans in new main broadcaster's user data and/or station according to input user's portrait model, the new main broadcaster is obtained
Online bean vermicelli representation data in user's representation data and/or station；And/or
According to the corresponding number of videos of type of theme each in station, video subject distributed data in standing is determined.
According to one or more other embodiments of the present disclosure, in the above method, generated according to the assessment data described current
The live streaming strategy of live video, comprises at least one of the following situation:
According to new main broadcaster user's representation data, the net cast advantage of new main broadcaster user is determined, as the current live
The live streaming strategy of video；
According to bean vermicelli representation data online in station, the hobby data of online bean vermicelli and/or interaction active degree in station are determined
Data, the live streaming strategy as the current live video；
According to video subject distributed data in standing, the rare theme in the station is determined, as the current live video
Live streaming strategy.
According to one or more other embodiments of the present disclosure, in the above method, generated according to the assessment data described current
The live streaming strategy of live video, comprising:
According to video subject distributed data in bean vermicelli representation data online in station and station, general live streaming strategy is determined；
According to new main broadcaster user's representation data, the target that new main broadcaster user is determined for compliance with from the general live streaming strategy is straight
Strategy is broadcast, the live streaming strategy as current live video.
According to one or more other embodiments of the present disclosure, in the above method, generated according to the assessment data described current
The live streaming strategy of live video, comprising:
The assessment data are inputted into live streaming Policy model, obtain the live streaming strategy of the current live video.
According to one or more other embodiments of the present disclosure, in the above method, the current live is generated according to assessment data
Before the live streaming strategy of video, further includes:
Initial network model is trained according to sample data, obtains live streaming Policy model；The sample data includes
Assess sample data and its tactful sample data of corresponding live streaming.
It is described current straight being generated according to assessment data in the above method according to one or more other embodiments of the present disclosure
After broadcasting the live streaming strategy of video, further includes:
The live streaming strategy is sent to the new main broadcaster user.
According to a kind of generating means for net cast strategy that one or more other embodiments of the present disclosure provide, the device packet
It includes:
Assess data acquisition module, for if it is determined that current live video main broadcaster user be new main broadcaster user, then obtain
Assess data；The assessment packet include new main broadcaster user's representation data, stand in view in online bean vermicelli representation data and station
At least one of frequency theme distribution data；
Policy generation module is broadcast live, for generating the live streaming strategy of the current live video according to the assessment data,
The live streaming strategy is for assisting new main broadcaster's user optimization current live video content.
According to one or more other embodiments of the present disclosure, above-mentioned apparatus further include: new main broadcaster's determining module, the module are used
In:
Obtain the identification information of the main broadcaster user of current live video；
It is index with the identification information, the corresponding history live streaming of the identification information is searched in history live data library
Data；
If the quantity of the corresponding history live data of the identification information found is less than amount threshold, it is determined that current
The main broadcaster user of live video is new main broadcaster user.
According to one or more other embodiments of the present disclosure, the assessment data acquisition module in above-mentioned apparatus is specifically used for:
By online number of fans in new main broadcaster's user data and/or station according to input user's portrait model, the new main broadcaster is obtained
Online bean vermicelli representation data in user's representation data and/or station；And/or
According to the corresponding number of videos of type of theme each in station, video master in standing is determined
According to one or more other embodiments of the present disclosure, the live streaming policy generation module in above-mentioned apparatus is specifically used for:
According to new main broadcaster user's representation data, the net cast advantage of new main broadcaster user is determined, as the current live
The live streaming strategy of video；
According to bean vermicelli representation data online in station, the hobby data of online bean vermicelli and/or interaction active degree in station are determined
Data, the live streaming strategy as the current live video；
According to video subject distributed data in standing, the rare theme in the station is determined, as the current live video
Live streaming strategy.
According to one or more other embodiments of the present disclosure, live streaming policy generation module in above-mentioned apparatus also particularly useful for:
According to video subject distributed data in bean vermicelli representation data online in station and station, general live streaming strategy is determined；
According to new main broadcaster user's representation data, the target that new main broadcaster user is determined for compliance with from the general live streaming strategy is straight
Strategy is broadcast, the live streaming strategy as current live video.
According to one or more other embodiments of the present disclosure, live streaming policy generation module in above-mentioned apparatus also particularly useful for:
The assessment data are inputted into live streaming Policy model, obtain the live streaming strategy of the current live video.
According to one or more other embodiments of the present disclosure, above-mentioned apparatus further include:
Model training module obtains live streaming Policy model for being trained according to sample data to initial network model；
The sample data includes assessment sample data and its tactful sample data of corresponding live streaming.
According to one or more other embodiments of the present disclosure, above-mentioned apparatus further include:
Strategy sends and touches, for the live streaming strategy to be sent to the new main broadcaster user.
According to a kind of electronic equipment that one or more other embodiments of the present disclosure provide, which includes:
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processing
Device realizes the generation method of the net cast strategy as described in disclosure any embodiment.
According to a kind of readable medium that one or more other embodiments of the present disclosure provide, it is stored thereon with computer program,
The generation method of the net cast strategy as described in disclosure any embodiment is realized when the program is executed by processor.
Above description is only the preferred embodiment of the disclosure and the explanation to institute's application technology principle.Those skilled in the art
Member is it should be appreciated that the open scope involved in the disclosure, however it is not limited to technology made of the specific combination of above-mentioned technical characteristic
Scheme, while should also cover in the case where not departing from design disclosed above, it is carried out by above-mentioned technical characteristic or its equivalent feature
Any combination and the other technical solutions formed.Such as features described above has similar function with (but being not limited to) disclosed in the disclosure
Can technical characteristic replaced mutually and the technical solution that is formed.
Although this is not construed as requiring these operations with institute in addition, depicting each operation using certain order
The certain order that shows executes in sequential order to execute.Under certain environment, multitask and parallel processing may be advantageous
's.Similarly, although containing several specific implementation details in being discussed above, these are not construed as to this public affairs
The limitation for the range opened.Certain features described in the context of individual embodiment can also be realized in combination single real
It applies in example.On the contrary, the various features described in the context of single embodiment can also be individually or with any suitable
The mode of sub-portfolio is realized in various embodiments.
Although having used specific to this theme of the language description of structure feature and/or method logical action, answer
When understanding that theme defined in the appended claims is not necessarily limited to special characteristic described above or movement.On on the contrary,
Special characteristic described in face and movement are only to realize the exemplary forms of claims.
Claims (11)
1. a kind of generation method of net cast strategy characterized by comprising
If it is determined that the main broadcaster user of current live video is new main broadcaster user, then assessment data are obtained；The assessment packet includes
New main broadcaster user's representation data, stand in online bean vermicelli representation data and in standing in video subject distributed data at least one
It is a；
The live streaming strategy of the current live video is generated according to the assessment data, the live streaming strategy is described new for assisting
Main broadcaster's user optimization current live video content.
2. the method according to claim 1, wherein determining the main broadcaster user of current live video for new main broadcaster use
Family, comprising:
Obtain the identification information of the main broadcaster user of current live video；
It is index with the identification information, the corresponding history live streaming number of the identification information is searched in history live data library
According to；
If the quantity of the corresponding history live data of the identification information found is less than amount threshold, it is determined that current live
The main broadcaster user of video is new main broadcaster user.
3. the method according to claim 1, wherein obtaining assessment data, comprising:
By online number of fans in new main broadcaster's user data and/or station according to input user's portrait model, the new main broadcaster user is obtained
Online bean vermicelli representation data in representation data and/or station；And/or
According to the corresponding number of videos of type of theme each in station, video subject distributed data in standing is determined.
4. the method according to claim 1, wherein generating the current live video according to the assessment data
Live streaming strategy, comprise at least one of the following situation:
According to new main broadcaster user's representation data, the net cast advantage of new main broadcaster user is determined, as the current live video
Live streaming strategy；
According to bean vermicelli representation data online in station, the hobby data of online bean vermicelli and/or interaction active degree data in station are determined,
Live streaming strategy as the current live video；
According to video subject distributed data in standing, the rare theme in the station is determined, as the straight of the current live video
Broadcast strategy.
5. method according to claim 1 or 4, which is characterized in that generate the current live according to the assessment data
The live streaming strategy of video, comprising:
According to video subject distributed data in bean vermicelli representation data online in station and station, general live streaming strategy is determined；
According to new main broadcaster user's representation data, plan is broadcast live in the target that new main broadcaster user is determined for compliance with from the general live streaming strategy
Slightly, the live streaming strategy as current live video.
6. the method according to claim 1, wherein generating the current live video according to the assessment data
Live streaming strategy, comprising:
The assessment data are inputted into live streaming Policy model, obtain the live streaming strategy of the current live video.
7. according to the method described in claim 6, it is characterized in that, generating the straight of the current live video according to assessment data
Before broadcasting strategy, further includes:
Initial network model is trained according to sample data, obtains live streaming Policy model；The sample data includes assessment
Sample data and its tactful sample data of corresponding live streaming.
8. the method according to claim 1, wherein generating the current live video according to assessment data
After live streaming strategy, further includes:
The live streaming strategy is sent to the new main broadcaster user.
9. a kind of generating means of net cast strategy characterized by comprising
Assess data acquisition module, for if it is determined that current live video main broadcaster user be new main broadcaster user, then obtain assessment
Data；The assessment packet include new main broadcaster user's representation data, stand in online bean vermicelli representation data and video master in standing
Inscribe at least one of distributed data；
Policy generation module is broadcast live, it is described for generating the live streaming strategy of the current live video according to the assessment data
Live streaming strategy is for assisting new main broadcaster's user optimization current live video content.
10. a kind of electronic equipment characterized by comprising
One or more processors；
Memory, for storing one or more programs；
When one or more of programs are executed by one or more of processors, so that one or more of processors are real
Now such as the generation method of net cast strategy described in any one of claims 1-8.
11. a kind of readable medium, is stored thereon with computer program, which is characterized in that the realization when program is executed by processor
Such as the generation method of net cast strategy described in any one of claims 1-8.
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| CN114697688A (en) * | 2020-12-29 | 2022-07-01 | 阿里巴巴集团控股有限公司 | Live broadcast strategy recommendation method, interaction method, device, equipment and storage medium |
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Application publication date: 20191101 |