CN111010584A - Live broadcast data processing method and device, server and storage medium - Google Patents
Live broadcast data processing method and device, server and storage medium Download PDFInfo
- Publication number
- CN111010584A CN111010584A CN201911236665.1A CN201911236665A CN111010584A CN 111010584 A CN111010584 A CN 111010584A CN 201911236665 A CN201911236665 A CN 201911236665A CN 111010584 A CN111010584 A CN 111010584A
- Authority
- CN
- China
- Prior art keywords
- anchor
- dimension
- log
- operation log
- service
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- 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
-
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25891—Management of end-user data being end-user preferences
-
- 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
- H04N21/262—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists
- H04N21/26291—Content or additional data distribution scheduling, e.g. sending additional data at off-peak times, updating software modules, calculating the carousel transmission frequency, delaying a video stream transmission, generating play-lists for providing content or additional data updates, e.g. updating software modules, stored at the client
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/442—Monitoring of processes or resources, e.g. detecting the failure of a recording device, monitoring the downstream bandwidth, the number of times a movie has been viewed, the storage space available from the internal hard disk
- H04N21/44213—Monitoring of end-user related data
- H04N21/44222—Analytics of user selections, e.g. selection of programs or purchase activity
Abstract
The embodiment of the application provides a live data processing method, a live data processing device, a server and a storage medium, wherein the method comprises the following steps: acquiring a first operation log aiming at the anchor, wherein the first operation log comprises data obtained in the current time period aiming at least two dimensions of the anchor, and the at least two dimensions comprise at least two of the following: the method comprises the steps of watching dimensions, gift dimensions and barrage dimensions, obtaining a first service index corresponding to each dimension according to a first operation log, wherein the first service index is used for representing the attention degree of the anchor in the dimension, and obtaining the heat value of the anchor according to the first service index corresponding to each dimension. In the application, the heat value of the anchor is obtained according to the real-time operation log, so that the heat value has real-time performance.
Description
Technical Field
The embodiment of the application relates to the technical field of computers, in particular to a live data processing method, a live data processing device, a server and a storage medium.
Background
With the rapid development of the live broadcast industry, the network live broadcast means that the network live broadcast wins the favor of users due to the characteristics of intuition, rich content and the like. Generally, in order to improve the experience of watching live broadcasts, a live broadcast platform recommends high-quality live broadcasts to a user according to the popularity of a main broadcast.
The current heat determination scheme of the anchor may have the following defects: the method for determining the popularity of the people is single, and the real popularity cannot be well reflected, for example, the popularity is determined only according to the number of the simultaneously online audiences; and secondly, determining that a larger time delay exists in the heat degree.
Disclosure of Invention
The embodiment of the application provides a live broadcast data processing method and device, a server and a storage medium, and the popularity value of a main broadcast can be updated in time.
In a first aspect, an embodiment of the present application provides a live data processing method, where the method includes:
obtaining a first operation log aiming at a main broadcast, wherein the first operation log comprises data obtained in a current time period aiming at least two dimensions of the main broadcast, and the at least two dimensions comprise at least two of the following: viewing dimension, gift dimension, barrage dimension;
acquiring a first service index corresponding to each dimension according to the first operation log, wherein the first service index is used for representing the attention degree of the anchor in the dimension;
and acquiring the heat value of the anchor according to the first service index corresponding to each dimension.
Optionally, the first service indicator corresponding to the viewing dimension is a viewing indicator, and includes at least one of: accumulating the number of watching persons, the number of persons watching at the same time in a specified time period, the number of newly-increased watching persons in the specified time period and the retention rate of watching users;
the first service index corresponding to the gift dimension is a gift index, and the first service index comprises at least one of the following: the amount of money gift consumption, the number of persons sending large amount of gift, the amount of common gift consumption, the number of persons sending common gift, the amount of money consuming special gift and the number of persons sending gift;
the first service index corresponding to the barrage dimension is a barrage index and comprises at least one of the following: the number of the bullet screens and the speed of the bullet screens.
Optionally, the obtaining the hot value of the anchor according to the first service index corresponding to each dimension includes:
the obtaining the hot value of the anchor according to the first service index corresponding to each dimension includes:
aiming at a plurality of anchor broadcasters, normalizing a plurality of first service indexes corresponding to the same dimension to obtain the processed first service indexes corresponding to each dimension of the anchor broadcasters, wherein the anchor broadcasters comprise the anchor broadcasters;
and aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions to obtain a heat value of the anchor.
Optionally, the performing a weighted operation on the processed first service indicator corresponding to each dimension to obtain a popularity value of the anchor includes:
obtaining a second operation log aiming at the anchor, wherein the second operation log comprises data of a plurality of dimensions of the anchor obtained in a period before the current period;
acquiring a second service index corresponding to each dimension in the second operation log aiming at the second operation log, wherein the second service index is used for representing the attention degree of the anchor in the dimension;
aiming at the multiple anchor broadcasters, normalizing multiple second service indexes corresponding to the same dimension to obtain a processed second service index corresponding to each dimension of the anchor broadcasters;
and aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions and a plurality of processed second service indexes corresponding to a plurality of dimensions to obtain a heat value of the anchor.
Optionally, the method further includes:
and receiving an adjustment instruction, and adjusting the heat value of the anchor to a preset value according to the adjustment instruction.
Optionally, the first operation log is a client log and/or a server log.
Optionally, the obtaining the first operation log for the anchor includes:
and receiving a client log which is sent by a client and aims at the anchor, wherein the client log is obtained by embedding points in the client, and the first operation log comprises the client log.
Optionally, the obtaining a first service index corresponding to each dimension according to the first operation log includes:
judging whether the first operation log is a valid log, wherein the timestamp of the valid log is in the current time period;
if yes, acquiring a first service index corresponding to each dimension according to the first operation log.
In a second aspect, an embodiment of the present application provides a data processing apparatus, including:
an obtaining module, configured to obtain a first operation log for a anchor, where the first operation log includes data obtained in a current time period for at least two dimensions of the anchor, where the at least two dimensions include at least two of: viewing dimension, gift dimension, barrage dimension;
acquiring a first service index corresponding to each dimension according to the first operation log, wherein the first service index is used for representing the concerned data obtained by the anchor in the dimension;
and acquiring the heat value of the anchor according to the first service index corresponding to each dimension.
In a third aspect, an embodiment of the present application provides a server, including:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the live data processing method of the first aspect via execution of the executable instructions.
In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor, and the live data processing method of the first aspect is provided.
The embodiment of the application provides a live data processing method, a live data processing device, a server and a storage medium, wherein the method comprises the following steps: acquiring a first operation log aiming at the anchor, wherein the first operation log comprises data obtained in the current time period aiming at least two dimensions of the anchor, and the at least two dimensions comprise at least two of the following: the method comprises the steps of watching dimensions, gift dimensions and barrage dimensions, obtaining a first service index corresponding to each dimension according to a first operation log, wherein the first service index is used for representing the attention degree of the anchor in the dimension, and obtaining the heat value of the anchor according to the first service index corresponding to each dimension. In the application, the heat value of the anchor is obtained according to the real-time operation log, so that the heat value has real-time performance.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a schematic diagram illustrating an architecture of a system for determining a anchor heat value according to an embodiment of the present disclosure;
fig. 2 is a first flowchart of a live data processing method according to an embodiment of the present application;
fig. 3 is a flowchart illustrating a second live data processing method according to an embodiment of the present application;
fig. 4 is a third schematic flowchart of a live data processing method according to an embodiment of the present application;
fig. 5 is a schematic diagram of live data processing provided in an embodiment of the present application;
fig. 6 is a schematic structural diagram of a live data processing apparatus according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of a server according to an embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Fig. 1 is a schematic structural diagram of a system for determining a anchor popularity value according to an embodiment of the present disclosure, and as shown in fig. 1, the system according to the embodiment includes a client 101 and a server 102, where the client 101 may be a mobile phone client, a web page client, a computer client, or other embedded clients. The present embodiment does not particularly limit the implementation manner of the client 101, as long as the client 101 can realize live broadcast viewing.
At present, the online audience number in a live broadcast room is generally summarized at intervals, the heat value of the anchor is updated through summarized data, however, the summarized data needs to consume a certain time, so that the update delay of the heat value is large, the heat value displayed by a client cannot well reflect the current real heat, the heat value of the anchor is updated only according to the online audience number, and the mode is single. The hot value is used for representing the attention degree of the user to the anchor, the higher the hot value is, the more the anchor is concerned by the user, and the lower the hot value is, the less the user is concerned by the anchor. The following examples are given for illustrative purposes.
It should be noted that fig. 1 illustrates that the number of the clients and the servers is one, and in an actual application process, the number of the clients and the servers includes, but is not limited to, one.
In the application, the server acquires a first operation log for the anchor, wherein the first operation log comprises data obtained in a current time period for at least two dimensions of the anchor, and the at least two dimensions comprise at least two of the following: the method comprises the steps of watching dimensions, gift dimensions and barrage dimensions, obtaining a first service index corresponding to each dimension according to a first operation log, wherein the first service index is used for representing the attention degree of a main broadcast in the dimension, and obtaining the heat value of the main broadcast according to the first service index corresponding to each dimension. Wherein, the first operation log is a client log (i.e. a log printed by the client 101) and/or a server log (i.e. a log printed by the server 102). And acquiring the hot value of the anchor according to the real-time operation log, so that the hot value has real-time performance.
The following describes the technical means of the present application in detail by way of specific examples. It should be noted that the following specific embodiments may be combined with each other, and description of the same or similar contents is not repeated in different embodiments.
Fig. 2 is a first schematic flow diagram of a live data processing method provided in an embodiment of the present application, as shown in fig. 2, an execution subject of this embodiment may be the server shown in fig. 1, or another device, for example, a log processing server, and the live data processing method may include:
s201, acquiring a first operation log aiming at the anchor, wherein the first operation log comprises data which are obtained in the current time period and aim at least two dimensions of the anchor.
In this embodiment, the first operation log includes data obtained in the current time period for at least two dimensions of the anchor, and the at least two dimensions include at least two of: viewing dimension, gift dimension, barrage dimension. The first operation log is a client log and/or a server log, wherein the client log is a log printed by a client, and the server log is a log printed by a server.
The current time period may be a preset time period before the current time, where the preset time period may be 1 minute, and the current time is 11: 21 minutes, and then the current time period may be 11: 20 minutes to 11: 21 minutes, and of course, the preset time period may also be 30 seconds, 10 minutes, and the like, which is not limited in this embodiment.
In an actual application process, after a user triggers an operation for a main broadcast at a client, the client may print a client log for the main broadcast, where the operation for the main broadcast may include entering the live broadcast room, exiting the live broadcast room, sending a barrage, sending a gift, clicking to pay attention, participating in a lottery, and the like. Correspondingly, when the client triggers the operation for the anchor, the server may issue an operation instruction to the client in response to the operation, where the operation instruction is used to instruct the client to execute a corresponding action. For example: and the user clicks the yacht on the interface corresponding to the client, and the server sends an operation instruction to the client so as to display the yacht on the interface of the client, wherein when the server responds to the operation instruction, the server can print a server log of the operation instruction.
In this example, the first operation log may be a client log, such as: entering a live broadcast room, exiting the live broadcast room and the like to operate corresponding client logs; further, in order to save the memory occupied by the client log, the first operation log may also be a server log, for example: when the gift is sent, the client and the server both print corresponding logs, and in order to save memory occupied by the logs of the client, the first operation log can be a server log; of course, in some scenarios, the first operation log may also be a client log and a server log.
In this example, the logs printed in and out of the live broadcast room may correspond to data of viewing dimensions, the logs printed in gift delivery and lottery participation may correspond to data of gift dimensions, and the logs printed in bullet screens may correspond to data of bullet screen dimensions.
The data of the viewing dimension can be used for determining a first service index corresponding to the viewing dimension, the data of the gift dimension can be used for determining a first service index corresponding to the gift dimension, and the data of the bullet screen dimension can be used for determining a first service index corresponding to the bullet screen dimension.
Of course, the above example is only an example of the first operation log, and in the actual application process, the first operation log includes, but is not limited to, the data of the above dimensions.
When the first operation log is a client log, the following feasible implementation manners may be used to obtain the first operation log for the anchor, including:
and receiving a client log aiming at the anchor sent by the client, wherein the client log is obtained by embedding points in the client.
Wherein, the embedding refers to the embedding of codes to print the client log when the user triggers an operation for the anchor. For example: the client log may be a log of entering a live broadcast room when the operation for the anchor is to enter the live broadcast room, and the client log may be a log of delivering a gift when the operation for the anchor is to deliver the gift. Then, the client sends the printed client log to the server, and correspondingly, the server receives the client log which is sent by the client and aims at the anchor.
S202, acquiring a first service index corresponding to each dimension according to the first operation log, wherein the first service index is used for representing the attention degree of the anchor in the dimension.
Wherein, the first service index corresponding to the viewing dimension is a viewing index, and comprises at least one of the following: accumulating the number of watching persons, the number of persons watching at the same time in a specified time period, the number of newly-increased watching persons in the specified time period and the retention rate of watching users.
The first service index corresponding to the gift dimension is a gift index, and comprises at least one of the following: the large gift consumption amount, the number of persons sending large gifts, the common gift consumption amount, the number of persons sending common gifts, the special gift consumption amount and the number of persons sending gifts;
the first service index corresponding to the barrage dimension is a barrage index, and comprises at least one of the following: the number of the bullet screens and the speed of the bullet screens.
The higher the first service index corresponding to the dimension is, the higher the attention degree of the anchor in the dimension is, and conversely, the lower the attention degree of the anchor in the dimension is. For example: the higher the number of people watched per minute, and/or new viewers per minute, and/or the viewing user retention rate, the more the anchor is concerned by the user in the video dimension, i.e., the more the user likes to watch the video of the anchor.
Illustratively, for the video dimension, the current time period is 1 minute before the current time, the current time is the first minute of starting playing, the first operation log comprises 20 client logs corresponding to entering a live broadcasting room and 10 client logs corresponding to exiting the live broadcasting room, and the number of watching people per minute is 20, the number of newly added people per minute is 10, and the retention rate is 1/2; the current moment is the 2 nd minute of broadcasting, and first operation log includes 5 customer end logs that get into the live broadcast room and correspond, 2 customer end logs that withdraw from the live broadcast room, and then the number of watching the people per minute is 10+5-2 ═ 13 people, the number of newly-increased people per minute is 5 people, the per minute retention rate is 8/10, the retention rate shows in the last minute saw the number of people of live broadcast, the number of people that still remain in this minute.
For the dimension of the gift, the first operation log comprises 10 server logs corresponding to the gift sending, and then the large gift consumption amount, the number of the large gift sending persons, the common gift consumption amount, the number of the common gift sending persons, the special gift consumption amount and the number of the special gift sending persons can be obtained.
Optionally, obtaining the first service index corresponding to each dimension according to the first operation log includes:
and judging whether the first operation log is a valid log, wherein the timestamp of the valid log is in the current time period.
If yes, acquiring a first service index corresponding to each dimension according to the first operation log.
The first operation log comprises a timestamp generated by the log, and in order to guarantee the real-time performance of a heat value, the fact that the heat value of a main broadcast is obtained according to the log of expiration time (time before the current time interval) is avoided, the timestamp of the first operation log is obtained, whether the timestamp is in the current time interval is judged, if yes, a first service index corresponding to each dimensionality is obtained according to the first operation log, if not, the log is removed, and the first service index corresponding to each dimensionality is obtained according to the removed first operation log. For example: when the current time period is 10 minutes, the log printed before 10 minutes is removed.
S203, acquiring a heat value of the anchor according to the first service index corresponding to each dimension.
The hot value is used to represent the attention degree of the user to the anchor, and the first service index corresponding to each dimension is used to represent the attention degree of the anchor in the dimension, and a preset calculation method may be adopted to obtain the hot value of the anchor according to the first service index corresponding to each dimension, for example: and calculating the average value of the first service indexes corresponding to each dimension, and taking the average value as the hot value of the anchor, or carrying out weighted operation on the first service indexes corresponding to each dimension to obtain the hot value of the anchor.
Of course, the manner of obtaining the hot value of the anchor according to the attention of the anchor in each dimension includes, but is not limited to, the above two manners, and a person skilled in the art may adopt any feasible implementation manner to obtain the hot value of the anchor according to the first service index corresponding to each dimension.
The server can also send the popularity value of the anchor to the client, and the client displays the popularity value of the anchor, so that a user can conveniently check the popularity value and select to enter a live broadcast room according to the popularity value.
The live data processing method provided by the embodiment includes: acquiring a first operation log aiming at the anchor, wherein the first operation log comprises data obtained in the current time period aiming at least two dimensions of the anchor, and the at least two dimensions comprise at least two of the following: the method comprises the steps of watching dimensions, gift dimensions and barrage dimensions, obtaining a first service index corresponding to each dimension according to a first operation log, wherein the first service index is used for representing the attention degree of the anchor in the dimension, and obtaining the heat value of the anchor according to the first service index corresponding to each dimension. In the application, the heat value of the anchor is obtained according to the real-time operation log, so that the heat value has real-time performance.
On the basis of the embodiment of fig. 2, step S203 may be implemented in a feasible manner as follows, fig. 3 is a second flowchart of the live data processing method provided in the embodiment of the present application, and as shown in fig. 3, step S203 specifically includes the following steps:
s301, aiming at multiple anchor broadcasters, normalizing multiple first service indexes corresponding to the same dimension to obtain the processed first service index corresponding to each dimension of the anchor.
S302, aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions to obtain a heat value of the anchor.
Wherein the plurality of anchor includes the anchor. When the differences of the first service indexes corresponding to the same dimension of the anchor broadcasters are within a first preset range, the first service indexes are considered to have small differences, so that the first service indexes corresponding to the same dimension of the anchor broadcasters can have obvious differences, and the weighted heat value of each anchor is also obviously different, so that a user can select to enter a corresponding live broadcast room according to the heat value of each anchor. In this embodiment, a plurality of first service indexes corresponding to a plurality of anchor in the same dimension are normalized to obtain a processed first service index corresponding to each dimension of the anchor, and then a weighting operation is performed on the processed first service index corresponding to each dimension of the anchor to obtain a heat value of the anchor.
Illustratively, the dimension is a video dimension, and the first business indicator includes a number of viewers per minute. The first service index of anchor a is: the number of viewers per minute is 98, and the first service index of anchor b is: the first service index of the number of viewers 97 per minute and the anchor c is: the number of people watching every minute is 99, and it can be seen that the percentage difference of the three data is very small, the three data are normalized by using a set value, for example, 90, and the first service index after the anchor a processing is: the number of viewers per minute is 8, and the first service index after anchor b processing is as follows: the number of viewers per minute is 7, and the first service index after anchor c processing is as follows: the number of viewers was 9 per minute. It can be seen that the percentage difference of the three data is significantly increased and clearly differentiated.
Then, for the anchor, performing weighted operation on the plurality of processed first service indicators corresponding to the plurality of dimensions to obtain a heat value of the anchor, and based on the above process, it can be known that the first service indicators of each anchor in each dimension have obvious differences, and then for each anchor, performing weighted operation on the plurality of processed first service indicators corresponding to the plurality of dimensions to obtain a heat value of each anchor also having obvious differences.
When the difference between a plurality of first service indexes corresponding to a plurality of anchor broadcasters in the same dimension is larger than a second preset range, the difference between the first service indexes is considered to be too large, so that the anchor broadcasters with too small heat values can continuously not attract watching users and fall into endless loops under obvious differentiation in order to avoid too large heat value difference between the anchor broadcasters. The following normalization scheme may also be adopted in the embodiment to equalize multiple first service indicators corresponding to the same dimension of each anchor.
Illustratively, the first service index of anchor a is: the number of people watched per minute is 1, and the first service index of the anchor b is as follows: the number of viewers is 100 per minute, and as can be seen, the percentage difference between these two data is large, a normalization scheme can be adopted: (first service index/200) ^0.1 × 100, carry on the normalization process, the first service index after the anchor a is processed is: the number of viewers per minute is 0.05^0.1 ^ 100 ═ 74, and the first service index after anchor b processing is: the number of viewers per minute is 0.5^0.1 ^ 100 ^ 93. It can be seen that the percentage difference between the two data is smaller and the data curve is smoother.
Then, for the anchor, performing weighted operation on the processed first service indexes corresponding to the multiple dimensions to obtain a heat value of the anchor, and based on the above process, it can be known that the difference of the first service indexes of each anchor in each dimension is not too large, and then performing weighted operation on the processed first service indexes corresponding to the multiple dimensions of each anchor, so that the obtained heat value of each anchor is not too large, and the anchor with too low heat value does not fall into a dead cycle incapable of attracting users.
It should be noted that the first preset range and the second preset range may be determined according to actual situations, and this embodiment does not limit this. In addition, a person skilled in the art may use any feasible normalization algorithm to perform normalization processing on the plurality of first service indicators corresponding to the same dimension, which is not limited in this embodiment.
Illustratively, the hot value of the anchor may be obtained in the following feasible manner:
the heat value is the processed first service index corresponding to the video dimension + the weight coefficient 2 is the processed first service index corresponding to the gift dimension + the weight coefficient 3 is the first service index corresponding to the barrage dimension
The weight coefficient 1, the weight coefficient 2, and the weight coefficient 3 may be determined according to actual situations, for example, the weight coefficient 1, the weight coefficient 2, and the weight coefficient 3 are 1/3, or the weight coefficient 1 is 1/2, the weight coefficient 2 is 1/4, and the weight coefficient 3 is 1/4.
Optionally, the method further includes:
and receiving an adjustment instruction, and adjusting the heat value of the anchor to a preset value according to the adjustment instruction.
Illustratively, a live broadcast activity of a live broadcast platform mainboard uses a new anchor account number for promotion, and since the heat value of the new anchor account number is very low, in order to achieve effective promotion, an indication for adjusting the heat value can be received, and the heat value of the anchor can be adjusted to a preset value according to the adjustment indication. The preset value may be higher than the heat value obtained through the above process, or may be lower than the heat value obtained through the above process, which is not limited in this embodiment.
For example, for some illegal anchor, an operation instruction can be received to not send a hot value of the specified anchor to the client, so that the client can not display the hot value of the illegal anchor, and the attention of the illegal anchor is controlled because the user usually pays attention to the anchor due to the hot value.
The live data processing method provided by the embodiment includes: aiming at a plurality of anchor, normalizing a plurality of first service indexes corresponding to the same dimensionality to obtain a processed first service index corresponding to each dimensionality of the anchor, wherein the anchor comprises the anchor, and aiming at the anchor, performing weighted operation on the processed first service indexes corresponding to the dimensionalities to obtain a heat value of the anchor. Therefore, when data corresponding to any dimension is added or deleted, the corresponding weight coefficient is only required to be adjusted, and the acquisition efficiency of the heat value is improved; the weight coefficient is adjusted according to the actual situation, so that the interaction between the anchor and the user is facilitated; and normalizing the first service index to rationalize the heat value difference of each anchor and facilitate the improvement of the attention of the anchor.
On the basis of the embodiment of fig. 3, since the hot value is low when the anchor just starts playing, in order to effectively improve the hot value of the anchor, the hot value can be acquired by combining the historical index of the anchor. Step S302 may be implemented in a feasible manner as follows, fig. 4 is a flowchart illustrating a second live data processing method provided in the embodiment of the present application, and as shown in fig. 4, step S302 specifically includes the following steps:
s401, acquiring a second operation log aiming at the anchor, wherein the second operation log comprises data of multiple dimensions aiming at the anchor, which are obtained in a period before the current period.
The second operation log is a client log and/or a server log. The time period before the current time period is the history time period, and if the current time period is 1 minute before the current time, the time period before the current time period may be 10 minutes, 1 hour, 1 day, and the like before the current time period.
S402, aiming at the second operation log, obtaining a second service index corresponding to each dimension in the second operation log, wherein the second service index is used for representing the attention degree of the anchor in the dimension.
And S403, aiming at the multiple anchor broadcasters, normalizing the multiple second service indexes corresponding to the same dimension to obtain the processed second service indexes corresponding to each dimension of the anchor broadcasters.
The implementation process of steps S401 to S403 is similar to that of steps S101 to S102 and S301, and is not described herein again.
Before step S403, it may also be determined whether the second operation log is an effective log, where a timestamp of the effective log is within the current time period, if so, step S403 is executed, otherwise, the log is removed, normalization processing is performed on the removed second operation log, and a processed second service index corresponding to each dimension in the second operation log is obtained.
The dimension in the first operation log may be the same as or different from the dimension in the second operation log; the number of dimensions in the first oplog may be the same as the number of dimensions in the second oplog, may be more than the number of dimensions in the second oplog, or may be less than the number of dimensions in the second oplog.
S404, aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions and a plurality of processed second service indexes corresponding to a plurality of dimensions to obtain the heat value of the anchor.
For the anchor, any feasible weighting algorithm may be adopted to perform weighting operation on the plurality of processed first service indexes corresponding to the plurality of dimensions and the plurality of processed second service indexes corresponding to the plurality of dimensions, and obtain the heat value of the anchor, that is, the heat value of the anchor is obtained by combining the real-time operation log and the historical operation log, so that the anchor with a high historical index (second service index) has a higher heat value when just started broadcasting.
Illustratively, the hot value of the anchor may be obtained in the following feasible manner:
a heat value which is the sum of the processed first service indicators corresponding to a plurality of dimensions and a weight coefficient which is 4 + the sum of the processed second service indicators corresponding to a plurality of dimensions and a weight coefficient which is 5%
The weighting coefficient 4 and the weighting coefficient 5 can be determined according to actual conditions, and the weighting coefficient 5 can be larger than the weighting coefficient 4, so that the hot value of the anchor with good historical indexes when just broadcasting is higher than that of the anchor with poor historical indexes.
After the preset duration of the broadcast, the heat value of the anchor is obtained according to the real-time operation log, that is, the weight coefficient 4 is increased and the weight coefficient 5 is decreased, and the technical solutions of the embodiments in fig. 2 and 3 may be implemented after the preset duration of the broadcast, that is, the weight coefficient 5 is 0.
Optionally, the server may further send the hot value of the anchor to the client, so that the hot value of the anchor is displayed on the client of the client.
The live data processing method provided by the embodiment includes: the method comprises the steps of obtaining a second operation log aiming at the anchor, wherein the second operation log comprises data, obtained in a period before the current period, aiming at multiple dimensions of the anchor, obtaining a second service index corresponding to each dimension in the second operation log aiming at the second operation log, the second service index is used for representing the attention degree of the anchor in the dimension, normalizing multiple second service indexes corresponding to the same dimension aiming at multiple anchors, obtaining a processed second service index corresponding to each dimension of the anchor, and carrying out weighted operation on the multiple processed first service indexes corresponding to multiple dimensions and the multiple processed second service indexes corresponding to multiple dimensions aiming at the anchor to obtain the heat value of the anchor. Therefore, when just broadcasting, the heat value of the anchor with high historical index is effectively improved by combining the historical index, and the attention of the anchor is favorably improved.
The technical solution of the present application is explained below by using a specific example. Fig. 5 is a schematic diagram of live data processing provided in an embodiment of the present application, and as shown in fig. 5, the data processing process may include the following steps:
the method comprises the following steps that firstly, after a user triggers operation aiming at a main broadcast, a computer client, a webpage client and a mobile phone client respectively print client logs and print the client logs in a server designated directory, for example: the gift-delivery log is stored in the catalog/home/log/gift of the server A, and the barrage log is stored in the catalog/home/log/barrage of the server B.
The client and the server perform data interaction by adopting a hypertext transfer protocol (http), the timeout of http is set to be 5 seconds, the time delay of client log collection is within 3 seconds, and the time delay of client log collection is the difference between the time of collecting logs and the time of log triggering.
Secondly, the computer client, the webpage client and the mobile phone client correspond to at least one log collection server respectively, and each log collection server prints the server log in a server designated directory, for example: the gift-delivery log is stored in the catalog/home/log/gift of the server A, and the barrage log is stored in the catalog/home/log/barrage of the server B.
The server log collection delay is within 2 seconds, and the server log collection delay is the difference between the log collection time and the log trigger time.
And thirdly, monitoring a specified directory by a log collection agent of the log processing server, and pushing the client logs and the server logs to Kafka, wherein the log collection server pushes the client logs and the server logs to different topics according to a log collection path.
The log pushing delay is within 4 seconds, the delay can be checked at regular time, and when the delay is more than 4 seconds, the client log and/or the server log can be split into different topics, so that the delay is reduced.
And fourthly, the log processing server subscribes required logs from the Kafka, acquires the logs from the Kafka for consumption, eliminates logs with abnormal timestamps, calculates first service indexes corresponding to each dimension according to the eliminated logs, and stores the first service indexes.
The storage medium of each first service index may be redis or mongodb or hdfs, and after 10 seconds, each first service index is landed to mongodb. The data is transferred from the memory to the hard disk by the data falling. In real-time calculation, data is stored in a memory (redis, mongodb, hdfs) in order to guarantee processing speed. If the dimension index is directly stored in mongodb during calculation, the delay is increased.
And fifthly, calculating an off-line index. And the log processing server calculates and stores a second service index corresponding to each dimension in a second operation log of a time period before the current time period.
Wherein a second operation log (history log) of a period before the current period is saved in hdfs. And calculating to obtain a second service index corresponding to each dimension in the second operation log according to the mode.
Sixth step, background regulation
The log processing server can adjust the weight coefficients of different dimensions, the adjusted weight coefficients take effect in time when the heat value is updated next time, and the log processing server can also adjust the heat value of the anchor to support the special activity requirement, namely, the heat value is written into mongodb in time and takes effect immediately; for violation sponsors, the log server may add it to a blacklist without displaying a heat value.
And seventhly, performing weighted operation on the first service index corresponding to each dimension and the second service index corresponding to each dimension by the log processing server to obtain the heat value of the anchor.
And step eight, the log processing server issues the hot value of the anchor to the computer client, the webpage client and the mobile phone client so as to update the main hot value.
Fig. 6 is a schematic structural diagram of a live data processing apparatus according to an embodiment of the present disclosure, where in this embodiment, the data processing apparatus may be integrated in a server or may be a server. Optionally, as shown in fig. 5, the data processing apparatus includes:
an obtaining module 61, configured to obtain a first operation log for a anchor, where the first operation log includes data of multiple dimensions for the anchor obtained at a current time period;
acquiring a first operation log aiming at a main broadcast according to the first operation log, wherein the first operation log comprises data obtained in a current time period aiming at least two dimensions of the main broadcast, and the at least two dimensions comprise at least two of the following dimensions: viewing dimension, gift dimension, barrage dimension;
acquiring a first service index corresponding to each dimension according to the first operation log, wherein the first service index is used for representing the attention degree of the anchor in the dimension;
and acquiring the heat value of the anchor according to the first service index corresponding to each dimension.
Optionally, the first service indicator corresponding to the viewing dimension is a viewing indicator, and includes at least one of: accumulating the number of watching persons, the number of persons watching at the same time in a specified time period, the number of newly-increased watching persons in the specified time period and the retention rate of watching users;
the first service index corresponding to the gift dimension is a gift index, and the first service index comprises at least one of the following: the amount of money gift consumption, the number of persons sending large amount of gift, the amount of common gift consumption, the number of persons sending common gift, the amount of money consuming special gift and the number of persons sending gift;
the first service index corresponding to the barrage dimension is a barrage index and comprises at least one of the following: the number of the bullet screens and the speed of the bullet screens.
Optionally, the obtaining module 61 is specifically configured to:
aiming at a plurality of anchor broadcasters, normalizing a plurality of first service indexes corresponding to the same dimension to obtain the processed first service indexes corresponding to each dimension of the anchor broadcasters, wherein the anchor broadcasters comprise the anchor broadcasters;
and aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions to obtain a heat value of the anchor.
Optionally, the obtaining module 61 is specifically configured to:
obtaining a second operation log aiming at the anchor, wherein the second operation log comprises data of a plurality of dimensions of the anchor obtained in a period before the current period;
acquiring a second service index corresponding to each dimension in the second operation log aiming at the second operation log, wherein the second service index is used for representing the attention degree of the anchor in the dimension;
aiming at the multiple anchor broadcasters, normalizing multiple second service indexes corresponding to the same dimension to obtain a processed second service index corresponding to each dimension of the anchor broadcasters;
and aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions and a plurality of processed second service indexes corresponding to a plurality of dimensions to obtain a heat value of the anchor.
Optionally, the processing module is configured to:
and receiving an adjustment instruction, and adjusting the heat value of the anchor to a preset value according to the adjustment instruction.
Optionally, the first operation log is a client log and/or a server log.
Optionally, the obtaining module 61 is specifically configured to:
and receiving a client log which is sent by a client and aims at the anchor, wherein the client log is obtained by embedding points in the client, and the first operation log comprises the client log.
Optionally, the processing module is further configured to:
judging whether the first operation log is a valid log, wherein the timestamp of the valid log is in the current time period;
if yes, acquiring a first service index corresponding to each dimension according to the first operation log.
The data processing apparatus provided in the embodiment of the present application may execute the technical solutions shown in the foregoing method embodiments, and the implementation principles and beneficial effects thereof are similar and will not be described herein again.
Fig. 7 is a schematic structural diagram of a server according to an embodiment of the present application, and as shown in fig. 7, the server includes:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the technical solutions shown in the above method embodiments by executing the above.
The embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, where the computer program is executed by a processor to implement the technical solution shown in the foregoing method embodiment.
Those of ordinary skill in the art will understand that: all or a portion of the steps of implementing the above-described method embodiments may be performed by hardware associated with program instructions. The program may be stored in a computer-readable storage medium. When executed, the program performs steps comprising the method embodiments described above; and the aforementioned storage medium includes: various media that can store program codes, such as ROM, RAM, magnetic or optical disks.
Finally, it should be noted that: the above embodiments are only used for illustrating the technical solutions of the embodiments of the present application, and are not limited thereto; although the embodiments of the present application have been described in detail with reference to the foregoing embodiments, those skilled in the art will understand that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the embodiments of the present application.
Claims (10)
1. A live data processing method is characterized by comprising the following steps:
obtaining a first operation log aiming at a main broadcast, wherein the first operation log comprises data obtained in a current time period aiming at least two dimensions of the main broadcast, and the at least two dimensions comprise at least two of the following: viewing dimension, gift dimension, barrage dimension;
acquiring a first service index corresponding to each dimension according to the first operation log, wherein the first service index is used for representing the attention degree of the anchor in the dimension;
and acquiring the heat value of the anchor according to the first service index corresponding to each dimension.
2. The method of claim 1, wherein the first business indicator corresponding to the viewing dimension is a viewing indicator comprising at least one of: accumulating the number of watching persons, the number of persons watching at the same time in a specified time period, the number of newly-increased watching persons in the specified time period and the retention rate of watching users;
the first service index corresponding to the gift dimension is a gift index, and the first service index comprises at least one of the following: the amount of money gift consumption, the number of persons sending large amount of gift, the amount of common gift consumption, the number of persons sending common gift, the amount of money consuming special gift and the number of persons sending gift;
the first service index corresponding to the barrage dimension is a barrage index and comprises at least one of the following: the number of the bullet screens and the speed of the bullet screens.
3. The method according to claim 1, wherein said obtaining a hot value of the anchor according to the first service index corresponding to each dimension comprises:
aiming at a plurality of anchor broadcasters, normalizing a plurality of first service indexes corresponding to the same dimension to obtain the processed first service indexes corresponding to each dimension of the anchor broadcasters, wherein the anchor broadcasters comprise the anchor broadcasters;
and aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions to obtain a heat value of the anchor.
4. The method according to claim 3, wherein the performing a weighted operation on the processed first service indicator corresponding to each dimension to obtain the hot value of the anchor comprises:
obtaining a second operation log aiming at the anchor, wherein the second operation log comprises data of a plurality of dimensions of the anchor obtained in a period before the current period;
acquiring a second service index corresponding to each dimension in the second operation log aiming at the second operation log, wherein the second service index is used for representing the attention degree of the anchor in the dimension;
aiming at the multiple anchor broadcasters, normalizing multiple second service indexes corresponding to the same dimension to obtain a processed second service index corresponding to each dimension of the anchor broadcasters;
and aiming at the anchor, carrying out weighted operation on a plurality of processed first service indexes corresponding to a plurality of dimensions and a plurality of processed second service indexes corresponding to a plurality of dimensions to obtain a heat value of the anchor.
5. The method according to any one of claims 1-4, further comprising:
and receiving an adjustment instruction, and adjusting the heat value of the anchor to a preset value according to the adjustment instruction.
6. The method of claim 1, wherein obtaining the first oplog for the anchor comprises:
and receiving a client log which is sent by a client and aims at the anchor, wherein the client log is obtained by embedding points in the client, and the first operation log comprises the client log.
7. The method according to claim 1, wherein the obtaining a first service index corresponding to each dimension according to the first operation log comprises:
judging whether the first operation log is a valid log, wherein the timestamp of the valid log is in the current time period;
if yes, acquiring a first service index corresponding to each dimension according to the first operation log.
8. A data processing apparatus, comprising:
an obtaining module, configured to obtain a first operation log for a anchor, where the first operation log includes data obtained in a current time period for at least two dimensions of the anchor, where the at least two dimensions include at least two of: viewing dimension, gift dimension, barrage dimension;
acquiring a first service index corresponding to each dimension according to the first operation log, wherein the first service index is used for representing the concerned data obtained by the anchor in the dimension;
and acquiring the heat value of the anchor according to the first service index corresponding to each dimension.
9. A server, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the live data processing method of any of claims 1-7 via execution of the executable instructions.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, is characterized by a live data processing method as claimed in any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911236665.1A CN111010584A (en) | 2019-12-05 | 2019-12-05 | Live broadcast data processing method and device, server and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201911236665.1A CN111010584A (en) | 2019-12-05 | 2019-12-05 | Live broadcast data processing method and device, server and storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111010584A true CN111010584A (en) | 2020-04-14 |
Family
ID=70114930
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201911236665.1A Pending CN111010584A (en) | 2019-12-05 | 2019-12-05 | Live broadcast data processing method and device, server and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111010584A (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111918081A (en) * | 2020-07-31 | 2020-11-10 | 广州津虹网络传媒有限公司 | Live broadcast room heat determining method, device, equipment and storage medium |
| CN112084369A (en) * | 2020-08-03 | 2020-12-15 | 广州数说故事信息科技有限公司 | Highlight moment mining method and model based on video live broadcast |
| CN112434053A (en) * | 2020-12-02 | 2021-03-02 | 百果园技术(新加坡)有限公司 | Method, device, equipment and storage medium for calculating live broadcast heat |
| CN114650431A (en) * | 2022-03-10 | 2022-06-21 | 北京乐我无限科技有限责任公司 | Live broadcast room heat degree determination method and device, electronic equipment and storage medium |
| CN114727121A (en) * | 2021-01-06 | 2022-07-08 | 厦门蝉羽网络科技有限公司 | Method, medium, system and equipment for acquiring average dwell time of audiences in live broadcast room |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8850499B2 (en) * | 2000-10-11 | 2014-09-30 | United Video Properties, Inc. | Systems and methods for caching data in media-on-demand systems |
| CN106560811A (en) * | 2016-09-23 | 2017-04-12 | 武汉斗鱼网络科技有限公司 | Direct broadcasting room recommending method and system based on broadcaster style |
| CN106599251A (en) * | 2016-12-20 | 2017-04-26 | 北京小米移动软件有限公司 | Method and device for displaying anchor rankings |
| CN106899856A (en) * | 2017-03-31 | 2017-06-27 | 百度在线网络技术（北京）有限公司 | Method and apparatus for exporting main broadcaster's information |
| CN107341208A (en) * | 2017-06-26 | 2017-11-10 | 广州华多网络科技有限公司 | A kind of content recommendation method and device |
| CN108093274A (en) * | 2018-01-05 | 2018-05-29 | 武汉斗鱼网络科技有限公司 | A kind of direct broadcasting room sort method, electronic equipment and readable storage medium storing program for executing |
| CN108763359A (en) * | 2018-05-16 | 2018-11-06 | 武汉斗鱼网络科技有限公司 | A kind of usage mining method, apparatus and electronic equipment with incidence relation |
| CN109168049A (en) * | 2018-09-03 | 2019-01-08 | 广州虎牙信息科技有限公司 | Grade evaluation method, device, storage medium and the server of programme televised live |
| CN109451326A (en) * | 2018-11-13 | 2019-03-08 | 广州虎牙科技有限公司 | A kind of methods of exhibiting, device, server and the storage medium of main broadcaster's information |
| CN109729377A (en) * | 2019-01-02 | 2019-05-07 | 广州虎牙信息科技有限公司 | A kind of method for pushing, device, computer equipment and the storage medium of main broadcaster's information |
| CN110267065A (en) * | 2019-05-29 | 2019-09-20 | 深圳市元征科技股份有限公司 | Live data processing method, device, server and storage medium |
-
2019
- 2019-12-05 CN CN201911236665.1A patent/CN111010584A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8850499B2 (en) * | 2000-10-11 | 2014-09-30 | United Video Properties, Inc. | Systems and methods for caching data in media-on-demand systems |
| CN106560811A (en) * | 2016-09-23 | 2017-04-12 | 武汉斗鱼网络科技有限公司 | Direct broadcasting room recommending method and system based on broadcaster style |
| CN106599251A (en) * | 2016-12-20 | 2017-04-26 | 北京小米移动软件有限公司 | Method and device for displaying anchor rankings |
| CN106899856A (en) * | 2017-03-31 | 2017-06-27 | 百度在线网络技术（北京）有限公司 | Method and apparatus for exporting main broadcaster's information |
| CN107341208A (en) * | 2017-06-26 | 2017-11-10 | 广州华多网络科技有限公司 | A kind of content recommendation method and device |
| CN108093274A (en) * | 2018-01-05 | 2018-05-29 | 武汉斗鱼网络科技有限公司 | A kind of direct broadcasting room sort method, electronic equipment and readable storage medium storing program for executing |
| CN108763359A (en) * | 2018-05-16 | 2018-11-06 | 武汉斗鱼网络科技有限公司 | A kind of usage mining method, apparatus and electronic equipment with incidence relation |
| CN109168049A (en) * | 2018-09-03 | 2019-01-08 | 广州虎牙信息科技有限公司 | Grade evaluation method, device, storage medium and the server of programme televised live |
| CN109451326A (en) * | 2018-11-13 | 2019-03-08 | 广州虎牙科技有限公司 | A kind of methods of exhibiting, device, server and the storage medium of main broadcaster's information |
| CN109729377A (en) * | 2019-01-02 | 2019-05-07 | 广州虎牙信息科技有限公司 | A kind of method for pushing, device, computer equipment and the storage medium of main broadcaster's information |
| CN110267065A (en) * | 2019-05-29 | 2019-09-20 | 深圳市元征科技股份有限公司 | Live data processing method, device, server and storage medium |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111918081A (en) * | 2020-07-31 | 2020-11-10 | 广州津虹网络传媒有限公司 | Live broadcast room heat determining method, device, equipment and storage medium |
| CN112084369A (en) * | 2020-08-03 | 2020-12-15 | 广州数说故事信息科技有限公司 | Highlight moment mining method and model based on video live broadcast |
| CN112434053A (en) * | 2020-12-02 | 2021-03-02 | 百果园技术(新加坡)有限公司 | Method, device, equipment and storage medium for calculating live broadcast heat |
| CN112434053B (en) * | 2020-12-02 | 2024-03-26 | 百果园技术(新加坡)有限公司 | Method, device, equipment and storage medium for calculating live broadcast heat |
| CN114727121A (en) * | 2021-01-06 | 2022-07-08 | 厦门蝉羽网络科技有限公司 | Method, medium, system and equipment for acquiring average dwell time of audiences in live broadcast room |
| CN114727121B (en) * | 2021-01-06 | 2024-04-23 | 厦门蝉羽网络科技有限公司 | Method, medium, system and equipment for acquiring average stay time of audience in live broadcasting room |
| CN114650431A (en) * | 2022-03-10 | 2022-06-21 | 北京乐我无限科技有限责任公司 | Live broadcast room heat degree determination method and device, electronic equipment and storage medium |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111010584A (en) | Live broadcast data processing method and device, server and storage medium | |
| CN108235102B (en) | Service processing method, device and storage medium | |
| US10897406B2 (en) | Scheduling method for content delivery network, and device | |
| CA2806284C (en) | Transmission apparatus, transmission method, reception apparatus, reception method, program, and broadcasting system | |
| WO2018059353A1 (en) | Message processing method and apparatus | |
| US9503491B2 (en) | Playback stall avoidance in adaptive media streaming | |
| US20180300750A1 (en) | Method and apparatus for delivering media files | |
| US9521178B1 (en) | Dynamic bandwidth thresholds | |
| CN106878769B (en) | Live video quality monitoring method and device | |
| WO2017197821A1 (en) | Advertisement placement method, advertisement server and system | |
| CN104168303A (en) | Method and device for displaying network studio | |
| CN110351569B (en) | Live content processing method, device, equipment and medium | |
| US20160379122A1 (en) | Recommendation algorithm optimization method, device and system | |
| CN107295387A (en) | Barrage display methods and device | |
| CN111726641A (en) | Live video playing processing method and device and server | |
| CN103533433A (en) | Intelligent television player picture advertisement delivery method and system | |
| CN112312145B (en) | Access server, burst traffic caching method, system, computer device and readable storage medium | |
| CN110753237B (en) | Method and device for saving upstream bandwidth flow of streaming media server | |
| CN103248921B (en) | Advertisement broadcast method, Apparatus and system | |
| WO2024066938A1 (en) | Livestreaming screenshotting method, apparatus and device, and storage medium | |
| CN107124660B (en) | Method and device for triggering broadcast information of live broadcast room | |
| US10798249B2 (en) | Managing live video stream connections and data usage | |
| CN114945097B (en) | Video stream processing method and device | |
| CN113271496B (en) | Video smooth playing method and system in network live broadcast and readable storage medium | |
| CN114025184A (en) | Video live broadcast method and electronic equipment |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200414 |