CN110446057B - Method, device and equipment for providing live auxiliary data and readable medium - Google Patents

Method, device and equipment for providing live auxiliary data and readable medium Download PDF

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Publication number
CN110446057B
CN110446057B CN201910816836.1A CN201910816836A CN110446057B CN 110446057 B CN110446057 B CN 110446057B CN 201910816836 A CN201910816836 A CN 201910816836A CN 110446057 B CN110446057 B CN 110446057B
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live broadcast
data
live
auxiliary data
fans
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CN110446057A (en
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姜子阳
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Beijing ByteDance Network Technology Co Ltd
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Beijing ByteDance Network Technology Co Ltd
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Priority to PCT/CN2020/109952 priority patent/WO2021036876A1/en
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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
    • 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
    • H04N21/251—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • 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
    • H04N21/435—Processing of additional data, e.g. decrypting of additional data, reconstructing software from modules extracted from the transport stream
    • 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
    • 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
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4667—Processing of monitored end-user data, e.g. trend analysis based on the log file of viewer selections
    • 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
    • H04N21/45—Management operations performed by the client for facilitating the reception of or the interaction with the content or administrating data related to the end-user or to the client device itself, e.g. learning user preferences for recommending movies, resolving scheduling conflicts
    • H04N21/466—Learning process for intelligent management, e.g. learning user preferences for recommending movies
    • H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
    • 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
    • H04N21/47—End-user applications
    • H04N21/478—Supplemental services, e.g. displaying phone caller identification, shopping application
    • H04N21/4788—Supplemental services, e.g. displaying phone caller identification, shopping application communicating with other users, e.g. chatting

Abstract

The disclosure discloses a method, a device, equipment and a readable medium for providing live auxiliary data. The method comprises the following steps: acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data; and sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data. The scheme of the embodiment of the disclosure can provide live broadcast auxiliary data for adjusting the live broadcast strategy for the anchor user in real time, so as to help the anchor user to accurately adjust the subsequent live broadcast video content in real time, attract a large number of fans and improve the live broadcast enthusiasm of the anchor user.

Description

Method, device and equipment for providing live auxiliary data and readable medium
Technical Field
The embodiment of the disclosure relates to the technical field of internet, in particular to a method, a device, equipment and a readable medium for providing live broadcast auxiliary data.
Background
Currently, in a live video application program, a main broadcasting user can attract a fan user on a live broadcasting platform to watch the program by starting a video live broadcasting function. In the process of live broadcasting video, the anchor user not only needs to complete live broadcasting of theme type content, but also needs to interact with fan users, so that the hot degree change and the reason of the hot degree change of the live video are difficult to find accurately in real time, the real-time performance and the accuracy of the anchor user on subsequent live video content adjustment are further seriously influenced, and improvement is urgently needed.
Disclosure of Invention
The embodiment of the disclosure provides a method, a device, equipment and a readable medium for providing live broadcast auxiliary data, which can provide live broadcast auxiliary data for adjusting a live broadcast strategy for a main broadcast user in real time, help the main broadcast user to accurately adjust subsequent live broadcast video contents in real time, attract a large number of fans and improve the live broadcast enthusiasm of the main broadcast user.
In a first aspect, an embodiment of the present disclosure provides a method for providing live auxiliary data, where the method includes:
acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data;
and sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data.
In a second aspect, an embodiment of the present disclosure further provides an apparatus for providing live auxiliary data, where the apparatus includes:
the auxiliary data acquisition module is used for acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data;
and the auxiliary data sending module is used for sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data.
In a third aspect, an embodiment of the present disclosure further provides an electronic device, where the electronic device includes:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method for providing live auxiliary data as in any embodiment of the present disclosure.
In a fourth aspect, embodiments of the present disclosure provide a readable medium, on which a computer program is stored, where the computer program, when executed by a processor, implements a method for providing live auxiliary data according to any of the embodiments of the present disclosure.
The embodiment of the disclosure provides a method, a device, equipment and a readable medium for providing live broadcast auxiliary data, which are used for acquiring live broadcast auxiliary data containing live broadcast room data and/or live broadcast fan preference data of a main broadcast user and sending the live broadcast auxiliary data to the main broadcast user in the process of live broadcast of the main broadcast user so that the main broadcast user can optimize the current live broadcast video content according to the live broadcast auxiliary data. According to the scheme of the embodiment of the invention, live broadcast auxiliary data for adjusting the live broadcast strategy can be provided for the anchor user in real time, so that the anchor user is helped to accurately adjust the subsequent live broadcast video content in real time, a large number of fans are attracted, and the live broadcast enthusiasm of the anchor user is improved.
Drawings
The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. Throughout the drawings, the same or similar reference numbers refer to the same or similar elements. It should be understood that the drawings are schematic and that elements and features are not necessarily drawn to scale.
Fig. 1 shows a flowchart of a method for providing live auxiliary data according to an embodiment of the present disclosure;
2A-2C illustrate a flow chart of another method of providing live auxiliary data provided by embodiments of the present disclosure;
fig. 3 is a flowchart illustrating another method for providing live auxiliary data according to an embodiment of the present disclosure;
fig. 4 is a schematic structural diagram illustrating a device for providing live auxiliary data according to an embodiment of the present disclosure;
fig. 5 shows a schematic structural diagram of an electronic device provided in an embodiment of the present disclosure.
Detailed Description
The present disclosure is described in further detail below with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the disclosure and are not limiting of the disclosure. It should be further noted that, for the convenience of description, only some of the structures relevant to the present disclosure are shown in the drawings, not all of them.
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it is to be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
It should be understood that the various steps recited in the method embodiments of the present disclosure may be performed in a different order, and/or performed in parallel. Moreover, method embodiments may include additional steps and/or omit performing the illustrated steps. The scope of the present disclosure is not limited in this respect.
The term "include" and variations thereof as used herein are open-ended, i.e., "including but not limited to". The term "based on" is "based, at least in part, on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one additional embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions for other terms will be given in the following description.
It should be noted that the terms "first", "second", and the like in the present disclosure are only used for distinguishing different devices, modules or units, and are not used for limiting the order or interdependence relationship of the functions performed by the devices, modules or units.
It is noted that references to "a", "an", and "the" modifications in this disclosure are intended to be illustrative rather than limiting, and that those skilled in the art will recognize that "one or more" may be used unless the context clearly dictates otherwise. The names of messages or information exchanged between multiple parties in the embodiments of the present disclosure are for illustrative purposes only and are not intended to limit the scope of such messages or information.
Fig. 1 is a flowchart of a method for providing live auxiliary data according to an embodiment of the present disclosure, where this embodiment is applicable to a case where live auxiliary data for optimizing live video content is provided for a anchor user in a live process of the anchor user, and the method may be executed by a device for providing live auxiliary data or an electronic device, where the device may be implemented in a software and/or hardware manner, and the device may be configured in the electronic device. Optionally, the electronic device may be a device corresponding to a backend live broadcast platform of the application program, and may also be a mobile terminal device installed with an application program client.
Optionally, as shown in fig. 1, the method in this embodiment may include the following steps:
s101, in the process of live broadcasting of a video by a main broadcasting user, acquiring live broadcasting auxiliary data.
The live broadcast auxiliary data can be data for assisting a main broadcast user in optimizing and adjusting the live broadcast video theme type, the live broadcast style and the live broadcast content, and can comprise live broadcast room data and/or main broadcast fan preference data of the main broadcast user. Optionally, the live broadcast room data of the anchor user may be data extracted from content existing in the live broadcast room of the anchor user and playing an auxiliary role in adjusting live videos of the anchor user. The anchor user live room data may include: the data related to the number of fans watching the current live video in the live room may include, for example, the number of fans watching the current live video and/or the change of the number of fans watching the current live video. The method can also comprise the following steps: the data related to the interactive comment content of the vermicelli in the live broadcast room may include, for example, the comment opinions (such as good comment, medium comment or poor comment) of the live broadcast video indicated in the comment by the vermicelli and/or the self-preferred content (such as preferred theme type, preferred live broadcast style, etc.) indicated in the comment by the vermicelli. The anchor fan preference data may be data extracted from some common characteristics possessed by the fan of the anchor user, which may assist the anchor user in adjusting the live video. The anchor fan preference data may include: the fans of the anchor user would like to watch the type of the theme, the style, the time period, etc. of the live broadcast at ordinary times.
Optionally, in the process of live broadcasting the video by the anchor user, this step may trigger to acquire live auxiliary data in real time or at regular time (e.g., every 10 minutes). Specifically, one possible implementation manner for acquiring the live broadcast room data of the anchor user may be dimensional analysis of the number of fans watched from the live broadcast room, monitoring the statistical process of the number of people watched in the live broadcast room of the anchor user in real time, and acquiring the number of fans watched in real time in the live broadcast room as the live broadcast room data of the anchor user; or calculating the change condition of the number of the fans (such as the number of the increased fans or the number of the decreased fans) according to the number of the acquired watching fans to be used as the live broadcast room data of the anchor user. Another possible implementation manner of obtaining live broadcast room data of the anchor user may be to identify interactive comment content of the fan in the live broadcast room (for example, comment content in a comment column in the live broadcast room and/or bullet screen content on a live broadcast interface) from dimensional analysis of the interactive comment content in the live broadcast room, and extract valuable words from the interactive comment content. For example, the words can be words for expressing the evaluation of the current live video such as good evaluation, general evaluation or bad evaluation; but also the vocabulary of the favorite contents expressed in the comment contents by the fan users. It should be noted that, how to perform the above two implementation manners will be described in detail in the following examples.
Optionally, an implementable manner of acquiring the favorite data of the anchor fan in the step may be to acquire historical viewing data and operation data of fans of the anchor user from the live broadcast platform, and use a live broadcast theme type and a live broadcast style with the most fan viewing, collecting or comment times in the historical viewing data and operation data of each fan as a favorite theme type and a favorite live broadcast style of the fans; and taking the time period with the most distributed viewing time as the favorite viewing time period of the fan. And at the moment, the determined theme type, the live broadcast style and the watching time period preferred by the fans are used as favorite data of the anchor fans. Another possible implementation manner of acquiring the preference data of the anchor fan is to acquire the preference feature data of each fan through each fan portrait of the anchor user, then comprehensively analyze the preference feature data of each fan, and extract the common preference feature data shared by a plurality of fans of the anchor user from the preference feature data as the anchor fan preference data. It should be noted that specific implementation manners of the implementable mode will be described in detail in the following examples.
S102, the live broadcast auxiliary data are sent to the anchor user, so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data.
Optionally, in this embodiment of the present disclosure, when the live auxiliary data is sent to the anchor user, the live auxiliary data may be sent to a terminal to which the anchor user belongs or a client corresponding to an account of the anchor user, where the live auxiliary data may be sent to a new anchor user in the form of a notification message, a receipt message of a live video, a popup window, and the like. After receiving the live broadcast auxiliary data, the anchor user can optimize the current live broadcast content by combining the live broadcast advantages of the anchor user according to the content on the live broadcast auxiliary data, so that the quality of subsequent live broadcast video is improved, and more fans are attracted.
Optionally, in this step, when the live auxiliary data is sent to the anchor user, the live auxiliary data may be directly sent to the anchor user, or after the live auxiliary data is subjected to standard integration processing, the data subjected to the standard integration processing may be sent to the anchor user. Specifically, the standard integration processing on the live broadcast auxiliary data may be to call a program code corresponding to the data integration template, use the live broadcast auxiliary data obtained in S101 as input data, run the data integration template, and at this time, the data integration template fills the live broadcast auxiliary data into a corresponding empty area in the data integration template, so as to implement the standard integration processing on the live broadcast auxiliary data. The processed live broadcast auxiliary data can be used for clearly and intuitively assisting the anchor user to optimize the current live broadcast video content. For example, the live broadcast auxiliary data acquired in S101 may be "500, good comments, songs, and interactive type", and since the live broadcast auxiliary data is too abstract and is directly sent to the anchor user, the anchor user has a difficulty in understanding, at this time, a data integration template "number of people in live broadcast [ ] is used, the fan in live broadcast is evaluated as being" live broadcast [ ], the favorite topic type of the fan is [ ], and the favorite live broadcast style of the fan is [ ] ", the live broadcast auxiliary data acquired in S101 is subjected to standard integration processing, the obtained processed live broadcast auxiliary data is" 500 people in live broadcast room, the fan in live broadcast is evaluated as being good comments, the favorite topic type of the fan is songs, and the favorite live broadcast favorite topic type of the fan is interactive style.
The embodiment of the disclosure provides a method for providing live broadcast auxiliary data, which is characterized in that in the process of live broadcasting of a main broadcast user, live broadcast auxiliary data containing live broadcast room data and/or main broadcast fan favorite data of the main broadcast user are obtained, and the live broadcast auxiliary data are sent to the main broadcast user, so that the main broadcast user can optimize the current live broadcast video content according to the live broadcast auxiliary data. According to the scheme of the embodiment of the invention, live broadcast auxiliary data for adjusting the live broadcast strategy can be provided for the anchor user in real time, so that the anchor user is helped to accurately adjust the subsequent live broadcast video content in real time, a large number of fans are attracted, and the live broadcast enthusiasm of the anchor user is improved.
Further, in order to ensure the comprehensiveness and accuracy of the live broadcast auxiliary data provided to the anchor user, in this embodiment, when acquiring the live broadcast auxiliary data, not only the live broadcast room data and/or the anchor fan preference data related to the anchor user, which are introduced in S101, may be acquired, but also the acquisition range of the live broadcast auxiliary data may be further expanded, and the auxiliary data related to the current live broadcast platform (i.e., the live broadcast platform auxiliary data) is acquired together with the data acquired in S101 as the live broadcast auxiliary data. In particular, the live platform assistance data may include, but is not limited to: at least one of video theme distribution data in the station, the number condition of fans in the live broadcast room in the station and preference data of fans in the station.
The video theme distribution data in the station may be a distribution situation of each theme type video in a total video resource owned by the live platform station, for example, the number of each theme type video, a ratio of each theme type video to the total video resource, and the like. The acquisition mode of the video theme distribution data in the station may be: if the live broadcast platform counts the distribution conditions of various themes (namely video theme distribution data in the station) in the station in advance according to the theme types of the videos existing in the station, the electronic equipment can directly interact with the live broadcast platform to acquire the video theme distribution data in the station. The method can also be characterized in that only relevant data of videos in the station is recorded in the live broadcast platform, and video theme distribution data in the station is not counted, at the moment, the electronic equipment can interact with the live broadcast platform, the theme types of the videos in the station are obtained from the live broadcast platform, then the video quantity values corresponding to the theme types are counted, and then the distribution quantity or proportion of the videos in the theme types in the station in the live broadcast platform is calculated and used as video theme distribution data in the station. Optionally, the scarce topic in the station may be used as the live broadcast auxiliary data according to the video topic distribution data in the station, that is, the live broadcast topic that is suggested to the anchor user for subsequent adjustment. Wherein a scarce theme may refer to a type of video theme that is missing within a live platform station.
The number of the fans in the live broadcast rooms in the station can be the number value, the average value, the number distribution and the like of the fans in each live broadcast room of the live broadcast platform currently in live broadcast. The acquisition mode of the number of fans in the live broadcast room in the station can be as follows: the electronic equipment monitors the number of vermicelli watched in each live broadcast room in the station through the live broadcast platform, and performs related processing operation on the number of vermicelli in each live broadcast room to obtain the condition of the number of vermicelli in the live broadcast room in the station. For example, the average number of watching fans in each live broadcast room can be obtained to obtain the average number of watching fans in the live broadcast room in the station; counting the distribution of the number of the watched fans of the live broadcast rooms in the station to obtain the number of the live broadcast rooms corresponding to each fan number interval; the present embodiment is not limited to this embodiment, and other embodiments are also possible.
The in-station vermicelli preference data can be the live broadcast theme type, the live broadcast style, the live broadcast time and other data which are preferred by the current online vermicelli in the live broadcast flat station. Optionally, the in-station vermicelli preference data in this embodiment may be preference data common to most selected vermicelli after the preference data of the in-station vermicelli is counted. The method for acquiring the favorite data of the vermicelli in the station can be similar to the method for acquiring the favorite data of the anchor vermicelli, and a specific acquisition method will be described in detail in the following embodiments.
This embodiment will live broadcast platform auxiliary data and anchor user's live broadcast room data and/or anchor fan hobby data and regard as live broadcast auxiliary data together, the benefit that sets up like this lies in for the auxiliary data who provides anchor user is more comprehensive, make anchor user according to the live broadcast content after this live broadcast auxiliary data adjustment, not only satisfy the demand of live broadcast room fan, can also be better satisfy the requirement of online fan in the whole live broadcast platform station, thereby attract more fan to watch this live broadcast video.
2A-2B illustrate a flow chart of another method of providing live auxiliary data provided by embodiments of the present disclosure; the present embodiment is optimized on the basis of the alternatives provided by the above embodiments, and specifically provides a detailed description of how to obtain live room data and anchor fan preference data of an anchor user in live auxiliary data.
Optionally, fig. 2A shows a flowchart of an implementable embodiment of the method for providing live auxiliary data when the live auxiliary data is live room data of the anchor user. The specific execution steps comprise:
s201, monitoring the number of vermicelli watched in a live broadcast room where a main broadcast user is located in the process of live broadcasting of a video by the main broadcast user.
Optionally, in this step, in the process of live broadcasting the video by the anchor user, the counting process of the number of people watched in the live broadcasting room of the anchor user is monitored in real time or at intervals of a preset time (for example, 10 minutes), so as to obtain the number of fans watched currently in the live broadcasting room of the anchor user.
S202, determining the change condition of the number of the watching fans according to the number of the watching fans.
Optionally, in this step, a change situation that the number of fans in the live broadcast room of the anchor user increases or decreases in at least two adjacent detections is analyzed according to the number of viewing fans monitored at least two adjacent times in S201. Specifically, there are many possible embodiments for determining the change condition of the number of viewing fans according to the number of viewing fans, and this step is not limited. Among them, one possible implementation may be: and drawing a real-time change curve graph of the number of the watching fans according to the number of the watching fans to serve as the change condition of the number of the watching fans. Specifically, the X-axis of the real-time variation graph may record the time of each monitoring in S201, and the Y-axis may record the number of observed fans in each monitoring. And showing the change condition of the number of fans live by the main broadcasting watching user through a real-time change curve graph of the number of fans. Another possible implementation may be: and determining the change value of the number of the watching fans according to the number of the watching fans at the adjacent time, and taking the change value as the change condition of the number of the fans. Another possible implementation manner may also be that a change value of the number of viewing fans is determined according to the number of viewing fans at adjacent time, and if the change value exceeds a normal change range, the change value is used as the change condition of the number of viewing fans. Specifically, the implementable manner may be that a normal variation range of the number of viewing fans is preset (for example, it may be-20 to 20), where the longer the period for monitoring the number of viewing fans is, the larger the corresponding normal variation range is. After monitoring the number of watching fans in a live broadcast room where a main broadcast user is located each time, S201 compares the number of the watching fans monitored this time with the number of the watching fans monitored last time, judges whether the change value of the number of the watching fans monitored two adjacent times is within the normal change range, and if so, indicates that the change is the change of the number of receivable normal fans and can be ignored; otherwise, the abnormal change of the number of the watching fans is shown, and the change value of the abnormal change is required to be used as the change condition of the number of the watching fans. Optionally, this step may be performed in at least one of the three possible embodiments when determining that the number of viewing fans changes.
S203, the number of the watching fans and/or the change situation of the number of the watching fans are used as the live broadcast room data of the anchor user.
Optionally, in this step, the number of watching fans monitored in S201 may be used as live broadcast room data of the anchor user; the change situation of the number of the watching fans determined in the step S202 can be used as the live broadcast room data of the anchor user; or the number of the viewing fans monitored in the step S201 and the change situation of the number of the viewing fans determined in the step S202 may be used together as the live broadcast room data of the anchor user.
S204, sending the live broadcast room data of the anchor user to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast room data of the anchor user.
Optionally, fig. 2B shows a flowchart of another implementable method for performing the providing of live auxiliary data when the live auxiliary data is live room data of the anchor user. The specific execution steps comprise:
s205, in the process of live broadcasting of the video by the anchor user, character recognition and/or semantic recognition are carried out on the interactive comment content of the live broadcasting room where the anchor user is located, and key words are determined.
Wherein the key words comprise evaluation words and/or favorite content words.
Optionally, in the step, during the process of live broadcasting the video by the anchor user, the current interactive comment content of the live broadcasting room where the anchor user is located is obtained in real time; or acquiring the interactive comment content of the live broadcast room of the main broadcast user in a preset time interval (such as 10 minutes). And then carrying out character recognition and/or semantic recognition on the acquired interactive comment content to determine a key vocabulary. One possible implementation manner of the specific determination method may be to preset some candidate evaluation words and candidate favorite words, for example, the preset candidate evaluation words include: good comment, medium comment, bad comment, wonderful comment and the like. The preset candidate favorite vocabularies comprise: like, love, dementia, addiction, etc. When the step is executed, comment content in a comment column of a live broadcast room where a anchor user is located and barrage content on a live broadcast interface are obtained as interactive comment content of the live broadcast room, then character recognition is carried out on the obtained interactive comment content, word segmentation processing is carried out on recognized characters, each word after word segmentation is matched with a preset candidate evaluation word and a candidate favorite word, and the candidate evaluation word which is successfully matched is used as an evaluation word in a keyword; and using suffix words of the successfully matched candidate favorite words in the interactive comment content as favorite content words. For example, if the favorite word that is successfully matched is "favorite" and the interactive comment content is "favorite pop song", the favorite suffix word "pop song" in the interactive comment content may be used as the favorite content word.
Optionally, for some interactive comment contents, the interactive comment contents do not include obvious evaluation words and/or favorite content words, at this time, another implementable manner may be adopted to determine key words, specifically, semantic recognition may be performed on the interactive comment contents, whether semantics of the interactive comment contents are evaluations of the live video or contents including fan favorite contents is determined, and if a semantic recognition result is an evaluation of the live video, a corresponding evaluation word is determined according to a semantic recognition result. For example, if the interactive comment content is "the song is over, the song comes over", although the comment content has no evaluation vocabulary, it can be seen through semantic analysis that the song is definitely the first song to sing, and the fan likes to sing, so that the first song is sung over again, and therefore the semantic recognition result of the comment content is the evaluation of the live content, and the determined evaluation vocabulary is "good evaluation". Similarly, the favorite content can also be extracted from the interactive comment content by semantic recognition for the interactive comment content without obvious favorite words. For example, if the interactive comment content is "play song and me see every time", although the comment content has no favorite vocabulary, semantic analysis shows that fans like to listen to the main play song, so the determined favorite vocabulary is "song". Optionally, in this step, a pre-trained neural network model may be used to perform semantic recognition on the interactive comment content.
It should be noted that, in order to ensure the accuracy and comprehensiveness of the keywords determined according to the interactive comment content, the step may be to determine the keywords by simultaneously adopting the above two possible implementation manners.
And S206, determining the weight value of the key vocabulary according to the frequency of the key vocabulary appearing in the interactive comment content.
Optionally, since the interactive content in the live broadcast room of the anchor user is usually more, and the evaluation of the live broadcast video and the favorite content of each fan are not necessarily the same, the number of the keywords determined in S205 is usually more than one. When the keyword determined at S205 is one, the keyword may be directly used as live-air data of the anchor user. If the number of the keywords determined in S205 is large, if all the keywords are used as live broadcast room data of the anchor user, the live broadcast auxiliary data is large, and the accuracy is poor, so that the accuracy of the anchor user in adjusting the subsequent live broadcast content is affected. At this time, in this step, the frequency of the keyword determined in S205 appearing in the interactive comment content in the live broadcast room may be counted, and if the frequency of the keyword appearing is more, the weight value corresponding to the keyword is larger. For example, the frequency of occurrence of each keyword may be directly used as the weight value of the keyword.
And S207, taking the key vocabulary and the weighted value thereof as live broadcast room data of the anchor user.
Optionally, in this step, the keywords determined in S205 and the weighted values of the keywords determined in S206 may be associated and directly used as live broadcast data of the anchor user. For example, if the keywords determined in S205 are "good comment, bad comment, song, and dance", and the weight values of the keywords are "256, 51, 179, 3" in sequence, S206 may use "good comment-256, bad comment-51, song-179, and dance-3" associated with the keywords and the weight values as live room data of the anchor user. Optionally, in order to enable the anchor user to adjust subsequent live broadcast content more intuitively according to the live broadcast room data of the anchor user, in this embodiment, a plurality of keywords for generating the live broadcast room data of the anchor user may be screened, and valuable keywords may be selected as the live broadcast room data of the anchor user. Specifically, the keywords determined in S205 may be ranked according to the weight values of the keywords determined in S206, and one or more keywords ranked earlier may be selected as live broadcast room data of the anchor user, for example, an evaluation vocabulary with a first weight value rank and a favorite content vocabulary with a first weight value rank may be selected from the keywords, and the weight values of the two vocabularies may be selected as live broadcast room data of the anchor user.
S208, sending the live broadcast room data of the anchor user to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast room data of the anchor user.
Optionally, fig. 2C shows a flowchart of an implementable embodiment of the method for providing live auxiliary data when the live auxiliary data is anchor fan preference data. The specific execution steps comprise:
s209, in the process of the live broadcast of the main broadcast user, acquiring the detail data of the main broadcast user vermicelli.
Optionally, the live platform of this embodiment records basic information of each user managed by the live platform, operation data on the live platform, and the like, that is, detail data of each user. The operation data in the detail data may be an operation performed by the user on the live broadcast platform within a certain time (for example, within a month) before the current time, and specifically, for the fan user, the operation data may include a time of viewing the live broadcast video, a title of the live broadcast video, a concerned anchor user, a collected or shared live broadcast video, and the like. In the step, the electronic device can acquire the detailed data of the fan of the anchor user watching the live video from the live platform in real time or in each preset time (for example, 5 minutes) in the process of live video of the anchor user.
S210, inputting the detailed data of the fan of the anchor user into the user portrait model to obtain the fan portrait of the fan of the anchor user.
The user portrait model can be a neural network model which is obtained by training according to a large amount of sample data in advance and can be used for sketching the fan portrait of the fan according to the detail information of the fan. The sample data may include a large amount of detailed information of different people and fan images corresponding to each person. The vermicelli portrait can be a tool for sketching multi-dimensional characteristics such as attribute characteristics, behavior characteristics or preference characteristics of vermicelli, and can be obtained by abstracting the characteristics of each dimension into labels and accurately sketching the vermicelli portrait by using the labels.
Optionally, in this step, the detail data of the anchor user fan, which is obtained from the live broadcast platform in S209, may be used as an input parameter, and a program code of the user portrait model is called and run, at this time, the user portrait model may perform analysis processing based on the input detail data of the anchor user fan, and draw out a fan portrait of the anchor user fan.
Optionally, in the live broadcast process of the anchor user, the number of the anchor user fans is large, and in order to improve the efficiency of generating the anchor fan preference data (i.e., the live broadcast auxiliary data) and provide the anchor user with more valuable anchor fan preference data, the step may be performed to screen fans of the anchor user, select high-quality fans, and generate fan portrait for the fans. The specific execution process can be judging whether the grade and/or the consumption condition of the fan of the anchor user meet the high-quality judgment standard or not; inputting the detailed data of the anchor user fans meeting the high-quality judgment standard into the user portrait model. The high-quality judgment standard can be a preset judgment standard for judging whether a fan is a high-quality fan or not, and the judgment standard can relate to multiple aspects, for example, fans with higher grades than a certain preset grade can be set as high-quality fans according to the account grade of the fans; and (3) setting the fans consuming more than the preset money amount in unit time (such as one month) according to the fan consumption condition as high-quality fans. In this case, in this step, whether the grade and/or consumption condition of each fan of the live video currently watched by the anchor user meets the high-quality judgment standard or not is judged according to fan grade information and/or consumption condition information in the detail data of each fan of the anchor user obtained in S209, and if yes, the detail data of the fan is input into the user portrait model to obtain a fan portrait of the fan; otherwise, the details of the fan are ignored.
S211, obtaining the favorite feature data from the fan image.
Optionally, the fan portrait includes tags corresponding to various dimensional features such as attribute features, behavior features, or favorite features of the fan, so that in this step, the electronic device may obtain the fan portrait of each anchor user fan in step S210, search for the tag corresponding to the favorite feature from each fan portrait, and then obtain favorite feature data corresponding to the tag.
And S212, extracting public preference characteristic data from the preference characteristic data to serve as anchor fan preference data.
Optionally, because S211 acquires the favorite feature data for each anchor user fan, and because the favorite features of each anchor user fan are different, the favorite feature data acquired in S211 are also not necessarily the same, and if the favorite feature data of all fans are used as fan favorite data, the fan favorite data range is wider, and the value of the fan favorite data is greatly reduced. For example, if 100 anchor fan preference data are provided to an anchor user, it is difficult for the anchor user to obtain truly valuable data information therefrom. In this case, in this step, the number of occurrences of each favorite feature data obtained in S211 may be counted, and one or more favorite feature data with the largest number of occurrences may be found as common favorite feature data shared by most of the fans. Since the public preference feature data is valuable preference feature data extracted from a large amount of preference feature data, the public preference feature data can be used as anchor fan preference data.
S213, the favorite data of the anchor fan is sent to the anchor user, so that the anchor user can optimize the current live video content according to the live broadcast room data of the anchor user.
The embodiment of the disclosure provides a method for providing live broadcast auxiliary data, which includes the steps of acquiring multi-dimensional live broadcast auxiliary data, namely at least one of data related to the number of watching fans in a live broadcast room, data related to interactive comment content of the fans in the live broadcast room and favorite data of the live broadcast fans in the live broadcast room in the process that a live broadcast user live broadcasts videos, correspondingly setting different acquisition rules for each kind of live broadcast auxiliary data, and acquiring the live broadcast auxiliary data in real time according to the acquisition rules of each piece of live broadcast auxiliary data and then sending the live broadcast auxiliary data to the live broadcast user. Therefore, the method helps the anchor user to accurately adjust the subsequent live video content in real time, attracts a large number of vermicelli, and improves the live broadcast enthusiasm of the anchor user.
Fig. 3 shows a flowchart of another method for providing live auxiliary data provided by the embodiment of the present disclosure; the present embodiment is optimized based on the alternatives provided by the above embodiments, and a detailed description is given of a preferred example of a live auxiliary data providing method.
Optionally, as shown in fig. 3, the method in this embodiment may include the following steps:
s301, in the process of live broadcasting of the video by the anchor user, acquiring live broadcasting auxiliary data.
The live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data;
and S302, predicting the live broadcast income according to the live broadcast auxiliary data.
Optionally, in this embodiment of the present disclosure, in order to further improve the liveness of the anchor user, the live revenue of the anchor user may be predicted according to the live auxiliary data. The specific prediction method may include at least one of the following cases:
when the live broadcast auxiliary data includes the number of watching fans in the live broadcast room data of the anchor user, the higher the number of watching fans is, the more the live broadcast profit is predicted to be. When the live broadcast auxiliary data includes the number change condition of the watching fans in the live broadcast room data of the anchor user, if the number of the watching fans is increased, the more the number is increased, the more the predicted live broadcast benefits are increased; if the number of the watching fans is reduced, the more the number is reduced, the less the predicted live broadcast profit is. When the anchor fan preference data is included in the live broadcast auxiliary data, the anchor-good live broadcast content and the live broadcast form can be obtained from the user image of the anchor user, and if the overlap ratio of the anchor-good live broadcast content and the live broadcast form to the anchor fan preference data is higher, the live broadcast profit is predicted to be higher. When the live broadcast auxiliary data comprises in-station video theme distribution data in the live broadcast platform auxiliary data, the situation that the video theme type currently live broadcast by the anchor user corresponds to in-station theme distribution can be judged, and the less the video data of the video theme type currently live broadcast exists in the station, the more scarce the current live broadcast theme type is, namely the higher the predicted live broadcast profit is. When the live broadcast auxiliary data comprises the number of fans in the live broadcast room in the live broadcast platform auxiliary data, the number of the fans watching the current live broadcast video of the anchor user can be judged to exceed the average number of the fans watching the live broadcast room in the live broadcast room, and the larger the exceeding value is, the higher the predicted live broadcast profit is. The method for predicting the live broadcast income corresponding to the live broadcast auxiliary data including the in-station vermicelli preference data in the live broadcast platform auxiliary data may be similar to the method for predicting the live broadcast income according to the anchor vermicelli preference data, and is not described again.
And S303, sending the live broadcast auxiliary data and the predicted live broadcast income to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data.
The embodiment of the disclosure provides a method for providing live auxiliary data, which includes the steps of acquiring live auxiliary data in a process that a main broadcast user live broadcasts a video, predicting live benefits according to the live auxiliary data, and sending the live auxiliary data and the predicted live benefits to the main broadcast user, so that the main broadcast user can optimize the content of the current live video according to the live auxiliary data. The scheme of the embodiment of the invention can not only provide live broadcast auxiliary data for adjusting the live broadcast strategy for the anchor user in real time, but also help the anchor user to accurately adjust the subsequent live broadcast video content in real time, thereby attracting a large number of fans; and direct income expectation stimulation can be given to the anchor user by predicting the live broadcast income, so that the broadcasting rate of the anchor user is improved.
Fig. 4 is a schematic structural diagram of a device for providing live auxiliary data according to an embodiment of the present disclosure, which is applicable to a situation where live auxiliary data for optimizing live video content is provided for a anchor user in a live process of the anchor user. The apparatus may be implemented by software and/or hardware and integrated in an electronic device executing the method, as shown in fig. 4, the apparatus may include:
the auxiliary data acquisition module 401 is configured to acquire live broadcast auxiliary data in a live broadcast process of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data;
an auxiliary data sending module 402, configured to send the live auxiliary data to the anchor user, so that the anchor user optimizes a current live video content according to the live auxiliary data.
The embodiment of the disclosure provides a device for providing live broadcast auxiliary data, which is used for acquiring live broadcast auxiliary data containing live broadcast room data and/or live broadcast fan preference data of a main broadcast user and sending the live broadcast auxiliary data to the main broadcast user in the process of live broadcast of the main broadcast user, so that the main broadcast user can optimize the current live broadcast video content according to the live broadcast auxiliary data. According to the scheme of the embodiment of the invention, live broadcast auxiliary data for adjusting the live broadcast strategy can be provided for the anchor user in real time, so that the anchor user is helped to accurately adjust the subsequent live broadcast video content in real time, a large number of fans are attracted, and the live broadcast enthusiasm of the anchor user is improved.
Further, when the live broadcast auxiliary data is live broadcast room data of the anchor user, the auxiliary data obtaining module 401 is specifically configured to:
monitoring the number of vermicelli watching in a live broadcast room where a main broadcast user is located;
determining the number change condition of the watching fans according to the number of the watching fans;
and taking the number of the watching fans and/or the change situation of the number of the watching fans as the live broadcast room data of the anchor user.
Further, when the auxiliary data obtaining module 401 determines the change condition of the number of the watching fans according to the number of the watching fans, it is specifically configured to:
and drawing a real-time change curve graph of the number of the watching fans according to the number of the watching fans to serve as the change condition of the number of the watching fans.
Further, when the auxiliary data obtaining module 401 determines the change condition of the number of the watching fans according to the number of the watching fans, it may be further specifically configured to:
determining the change value of the number of the watching fans according to the number of the watching fans at adjacent moments;
and if the change value exceeds the normal change range, taking the change value as the change condition of the number of the watching fans.
Further, when the live broadcast auxiliary data is live broadcast room data of the anchor user, the auxiliary data obtaining module 401 is further specifically configured to:
performing character recognition and/or semantic recognition on interactive comment content of a live broadcast room where a main broadcast user is located, and determining key words; the key words comprise evaluation words and/or favorite content words;
determining the weight value of the key vocabulary according to the frequency of the key vocabulary appearing in the interactive comment content;
and taking the key vocabulary and the weighted value thereof as live broadcast room data of the anchor user.
Further, when the live broadcast auxiliary data is anchor fan preference data, the auxiliary data acquiring module 401 is specifically configured to:
inputting the detailed data of the anchor user vermicelli into a user image model to obtain an image of the anchor user vermicelli;
acquiring favorite feature data from the fan portrait;
and extracting public preference characteristic data from the preference characteristic data to be used as anchor fan preference data.
Further, the auxiliary data obtaining module 401, when executing inputting the detail data of the anchor user fan into the user portrait model, is specifically configured to:
judging whether the grade and/or the consumption condition of the fan of the anchor user meet the high-quality judgment standard or not;
inputting the detailed data of the anchor user fans meeting the high-quality judgment standard into the user portrait model.
Further, the auxiliary data obtaining module 401 is further configured to:
and acquiring the auxiliary data of the live broadcast platform, wherein the auxiliary data of the live broadcast platform comprises at least one of video theme distribution data in the station, the number condition of vermicelli in a live broadcast room in the station and vermicelli preference data in the station.
Further, the apparatus further comprises:
a profit prediction module for predicting the live broadcast profit according to the live broadcast auxiliary data
Further, the auxiliary data sending module 402 is specifically configured to:
and sending the live broadcast auxiliary data and the predicted live broadcast income to the anchor user.
The device for providing live broadcast auxiliary data provided by the embodiment of the present disclosure is the same as the method for providing live broadcast auxiliary data provided by the embodiments, and technical details that are not described in detail in the embodiment of the present disclosure may be referred to the embodiments, and the embodiment of the present disclosure has the same beneficial effects as the embodiments.
Referring now to FIG. 5, a block diagram of an electronic device 500 suitable for use in implementing embodiments of the present disclosure is shown. The electronic device in the embodiment of the present disclosure may be a device corresponding to a back-end live broadcast platform of an application program, and may also be a mobile terminal device installed with an application program client. In particular, the electronic device may include, but is not limited to, a mobile terminal such as a mobile phone, a notebook computer, a digital broadcast receiver, a PDA (personal digital assistant), a PAD (tablet computer), a PMP (portable multimedia player), a vehicle terminal (e.g., a car navigation terminal), and the like, and a fixed terminal such as a digital TV, a desktop computer, and the like. The electronic device 500 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present disclosure.
As shown in fig. 5, electronic device 500 may include a processing means (e.g., central processing unit, graphics processor, etc.) 501 that may perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)502 or a program loaded from a storage means 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data necessary for the operation of the electronic apparatus 500 are also stored. The processing device 501, the ROM 502, and the RAM 503 are connected to each other through a bus 504. An input/output (I/O) interface 505 is also connected to bus 504.
Generally, the following devices may be connected to the I/O interface 505: input devices 506 including, for example, a touch screen, touch pad, keyboard, mouse, camera, microphone, accelerometer, gyroscope, etc.; output devices 507 including, for example, a Liquid Crystal Display (LCD), speakers, vibrators, and the like; storage devices 508 including, for example, magnetic tape, hard disk, etc.; and a communication device 509. The communication means 509 may allow the electronic device 500 to communicate with other devices wirelessly or by wire to exchange data. While fig. 5 illustrates an electronic device 500 having various means, it is to be understood that not all illustrated means are required to be implemented or provided. More or fewer devices may alternatively be implemented or provided.
In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program carried on a non-transitory computer readable medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network via the communication means 509, or installed from the storage means 508, or installed from the ROM 502. The computer program performs the above-described functions defined in the methods of the embodiments of the present disclosure when executed by the processing device 501.
It should be noted that the computer readable medium in the present disclosure can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), etc., or any suitable combination of the foregoing.
In some implementations, the electronic devices may communicate using any currently known or future developed network Protocol, such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), the Internet (e.g., the Internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The computer readable medium may be embodied in the electronic device; or may exist separately without being assembled into the electronic device.
The computer readable medium carries one or more programs which, when executed by the electronic device, cause the internal processes of the electronic device to perform: acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data; and sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
According to one or more embodiments of the present disclosure, a method for providing live auxiliary data is provided, the method including:
acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data;
and sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data.
According to one or more embodiments of the present disclosure, in the above method, when the live auxiliary data is live room data of a main broadcast user, acquiring the live auxiliary data includes:
monitoring the number of vermicelli watching in a live broadcast room where a main broadcast user is located;
determining the number change condition of the watching fans according to the number of the watching fans;
and taking the number of the watching fans and/or the change situation of the number of the watching fans as the live broadcast room data of the anchor user.
According to one or more embodiments of the present disclosure, in the method, determining a change condition of the number of viewing fans according to the number of viewing fans includes:
and drawing a real-time change curve graph of the number of the watching fans according to the number of the watching fans to serve as the change condition of the number of the watching fans.
According to one or more embodiments of the present disclosure, in the method, determining a change condition of the number of viewing fans according to the number of viewing fans includes:
determining the change value of the number of the watching fans according to the number of the watching fans at adjacent moments;
and if the change value exceeds the normal change range, taking the change value as the change condition of the number of the watching fans.
According to one or more embodiments of the present disclosure, in the above method, when the live auxiliary data is live room data of a main broadcast user, acquiring the live auxiliary data includes:
performing character recognition and/or semantic recognition on interactive comment content of a live broadcast room where a main broadcast user is located, and determining key words; the key words comprise evaluation words and/or favorite content words;
determining the weight value of the key vocabulary according to the frequency of the key vocabulary appearing in the interactive comment content;
and taking the key vocabulary and the weighted value thereof as live broadcast room data of the anchor user.
According to one or more embodiments of the present disclosure, in the above method, when the live auxiliary data is anchor fan preference data, acquiring the live auxiliary data includes:
inputting the detailed data of the anchor user vermicelli into a user image model to obtain an image of the anchor user vermicelli;
acquiring favorite feature data from the fan portrait;
and extracting public preference characteristic data from the preference characteristic data to be used as anchor fan preference data.
According to one or more embodiments of the present disclosure, the method for entering details of anchor user fans into a user representation model comprises:
judging whether the grade and/or the consumption condition of the fan of the anchor user meet the high-quality judgment standard or not;
inputting the detailed data of the anchor user fans meeting the high-quality judgment standard into the user portrait model.
According to one or more embodiments of the present disclosure, in the above method, acquiring live auxiliary data includes:
and acquiring the auxiliary data of the live broadcast platform, wherein the auxiliary data of the live broadcast platform comprises at least one of video theme distribution data in the station, the number condition of vermicelli in a live broadcast room in the station and vermicelli preference data in the station.
According to one or more embodiments of the present disclosure, in the above method, after acquiring the live auxiliary data, the method further includes:
and predicting the live broadcast income according to the live broadcast auxiliary data.
According to one or more embodiments of the present disclosure, in the above method, sending the live auxiliary data to the anchor user includes:
and sending the live broadcast auxiliary data and the predicted live broadcast income to the anchor user.
According to one or more embodiments of the present disclosure, there is provided a device for providing live auxiliary data, the device including:
the auxiliary data acquisition module is used for acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data;
and the auxiliary data sending module is used for sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data.
According to one or more embodiments of the present disclosure, when the live broadcast auxiliary data is live broadcast room data of a main broadcast user, the auxiliary data acquiring module in the apparatus is specifically configured to:
monitoring the number of vermicelli watching in a live broadcast room where a main broadcast user is located;
determining the number change condition of the watching fans according to the number of the watching fans;
and taking the number of the watching fans and/or the change situation of the number of the watching fans as the live broadcast room data of the anchor user.
According to one or more embodiments of the present disclosure, when the auxiliary data obtaining module in the above apparatus determines the change situation of the number of viewing fans according to the number of viewing fans, the auxiliary data obtaining module is specifically configured to:
and drawing a real-time change curve graph of the number of the watching fans according to the number of the watching fans to serve as the change condition of the number of the watching fans.
According to one or more embodiments of the present disclosure, when the auxiliary data obtaining module in the above apparatus determines the change situation of the number of viewing fans according to the number of viewing fans, the auxiliary data obtaining module may be further specifically configured to:
determining the change value of the number of the watching fans according to the number of the watching fans at adjacent moments;
and if the change value exceeds the normal change range, taking the change value as the change condition of the number of the watching fans.
According to one or more embodiments of the present disclosure, when the live broadcast auxiliary data is live broadcast room data of a main broadcast user, the auxiliary data acquiring module in the apparatus is further specifically configured to:
performing character recognition and/or semantic recognition on interactive comment content of a live broadcast room where a main broadcast user is located, and determining key words; the key words comprise evaluation words and/or favorite content words;
determining the weight value of the key vocabulary according to the frequency of the key vocabulary appearing in the interactive comment content;
and taking the key vocabulary and the weighted value thereof as live broadcast room data of the anchor user.
According to one or more embodiments of the present disclosure, when the live broadcast auxiliary data is anchor fan preference data, the auxiliary data acquiring module in the apparatus is specifically configured to:
inputting the detailed data of the anchor user vermicelli into a user image model to obtain an image of the anchor user vermicelli;
acquiring favorite feature data from the fan portrait;
and extracting public preference characteristic data from the preference characteristic data to be used as anchor fan preference data.
According to one or more embodiments of the present disclosure, the auxiliary data obtaining module in the above apparatus is specifically configured to, when entering the detail data of the anchor user fan into the user portrait model:
judging whether the grade and/or the consumption condition of the fan of the anchor user meet the high-quality judgment standard or not;
inputting the detailed data of the anchor user fans meeting the high-quality judgment standard into the user portrait model.
According to one or more embodiments of the present disclosure, the auxiliary data obtaining module in the above apparatus is further configured to:
and acquiring the auxiliary data of the live broadcast platform, wherein the auxiliary data of the live broadcast platform comprises at least one of video theme distribution data in the station, the number condition of vermicelli in a live broadcast room in the station and vermicelli preference data in the station.
According to one or more embodiments of the present disclosure, the apparatus further includes:
a profit prediction module for predicting the live broadcast profit according to the live broadcast auxiliary data
According to one or more embodiments of the present disclosure, the auxiliary data sending module in the above apparatus is specifically configured to:
and sending the live broadcast auxiliary data and the predicted live broadcast income to the anchor user.
According to one or more embodiments of the present disclosure, there is provided an electronic device including:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method for providing live auxiliary data as in any embodiment of the present disclosure.
According to one or more embodiments of the present disclosure, a readable medium is provided, on which a computer program is stored, which when executed by a processor, implements a method for providing live auxiliary data as described in any of the embodiments of the present disclosure.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.

Claims (12)

1. A method for providing live auxiliary data, comprising:
acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live broadcast auxiliary data comprises live broadcast room data of a main broadcast user and/or main broadcast fan preference data;
wherein, obtain live auxiliary data, include:
acquiring auxiliary data of a live broadcast platform, wherein the auxiliary data of the live broadcast platform comprises at least one of video theme distribution data in a station, the number condition of vermicelli in a live broadcast room in the station and vermicelli preference data in the station; the video theme distribution data in the station comprise the number of the videos of each theme type and the proportion of the videos of each theme type to the total video resources owned by the live platform station; the number condition of the fans in the live broadcast rooms in the station comprises the number value, the average value and the number distribution condition of the fans in each live broadcast room of the live broadcast platform currently in live broadcast; the in-station vermicelli preference data comprises the type of the live broadcast theme, the live broadcast style and the live broadcast time which are preferred by the current online vermicelli in the live broadcast platform station;
sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data;
wherein sending the live auxiliary data to the anchor user comprises:
calling a data integration template, and filling the live broadcast auxiliary data into a corresponding empty area in the data integration template to realize standard integration processing of the live broadcast auxiliary data;
and sending the live broadcast auxiliary data subjected to the standard integration processing to the anchor user.
2. The method of claim 1, wherein when the live auxiliary data is live room data of a host user, acquiring the live auxiliary data comprises:
monitoring the number of vermicelli watching in a live broadcast room where a main broadcast user is located;
determining the number change condition of the watching fans according to the number of the watching fans;
and taking the number of the watching fans and/or the change situation of the number of the watching fans as the live broadcast room data of the anchor user.
3. The method of claim 2, wherein determining the change of the number of the viewing fans according to the number of the viewing fans comprises:
and drawing a real-time change curve graph of the number of the watching fans according to the number of the watching fans to serve as the change condition of the number of the watching fans.
4. The method of claim 2, wherein determining the change of the number of the viewing fans according to the number of the viewing fans comprises:
determining the change value of the number of the watching fans according to the number of the watching fans at adjacent moments;
and if the change value exceeds the normal change range, taking the change value as the change condition of the number of the watching fans.
5. The method of claim 1, wherein when the live auxiliary data is live room data of a host user, acquiring the live auxiliary data comprises:
performing character recognition and/or semantic recognition on interactive comment content of a live broadcast room where a main broadcast user is located, and determining key words; the key words comprise evaluation words and/or favorite content words;
determining the weight value of the key vocabulary according to the frequency of the key vocabulary appearing in the interactive comment content;
and taking the key vocabulary and the weighted value thereof as live broadcast room data of the anchor user.
6. The method of claim 1, wherein obtaining live auxiliary data when the live auxiliary data is anchor fan preference data comprises:
inputting the detailed data of the anchor user vermicelli into a user image model to obtain an image of the anchor user vermicelli;
acquiring favorite feature data from the fan portrait;
and extracting public preference characteristic data from the preference characteristic data to be used as anchor fan preference data.
7. The method of claim 6, wherein entering details data of anchor user fans into the user representation model comprises:
judging whether the grade and/or the consumption condition of the fan of the anchor user meet the high-quality judgment standard or not;
inputting the detailed data of the anchor user fans meeting the high-quality judgment standard into the user portrait model.
8. The method of claim 1, after obtaining live auxiliary data, further comprising:
and predicting the live broadcast income according to the live broadcast auxiliary data.
9. The method of claim 8, wherein sending the live auxiliary data to the anchor user comprises:
and sending the live broadcast auxiliary data and the predicted live broadcast income to the anchor user.
10. A device for providing live auxiliary data, comprising:
the auxiliary data acquisition module is used for acquiring live broadcast auxiliary data in the process of live broadcasting of a main broadcast user; the live auxiliary data comprises live room data of an anchor user and/or anchor fan preference data;
wherein, obtain live auxiliary data, include:
acquiring auxiliary data of a live broadcast platform, wherein the auxiliary data of the live broadcast platform comprises at least one of video theme distribution data in a station, the number condition of vermicelli in a live broadcast room in the station and vermicelli preference data in the station; the video theme distribution data in the station comprise the number of videos of each theme type and the proportion of the videos of each theme type in the total video resources owned by the live broadcast platform station; the number condition of the fans in the live broadcast rooms in the station comprises the number value, the average value and the number distribution condition of the fans in each live broadcast room of the live broadcast platform currently in live broadcast; the in-station vermicelli preference data comprises the type of the live broadcast theme, the live broadcast style and the live broadcast time which are preferred by the current online vermicelli in the live broadcast platform station;
the auxiliary data sending module is used for sending the live broadcast auxiliary data to the anchor user so that the anchor user can optimize the current live broadcast video content according to the live broadcast auxiliary data; the system is specifically used for calling a data integration template and filling the live broadcast auxiliary data into a corresponding empty area in the data integration template to realize the standard integration processing of the live broadcast auxiliary data; and sending the live broadcast auxiliary data subjected to the standard integration processing to the anchor user.
11. An electronic device, comprising:
one or more processors;
a memory for storing one or more programs;
when executed by the one or more processors, cause the one or more processors to implement a method of providing live auxiliary data as claimed in any of claims 1-9.
12. A readable medium, on which a computer program is stored which, when being executed by a processor, carries out a method for providing live auxiliary data according to any one of claims 1-9.
CN201910816836.1A 2019-08-30 2019-08-30 Method, device and equipment for providing live auxiliary data and readable medium Active CN110446057B (en)

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