CN111601169B - Method, device, storage medium and server for determining age stage of family member - Google Patents
Method, device, storage medium and server for determining age stage of family member Download PDFInfo
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- CN111601169B CN111601169B CN202010434342.XA CN202010434342A CN111601169B CN 111601169 B CN111601169 B CN 111601169B CN 202010434342 A CN202010434342 A CN 202010434342A CN 111601169 B CN111601169 B CN 111601169B
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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]
- H04N21/40—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
- H04N21/44204—Monitoring of content usage, e.g. the number of times a movie has been viewed, copied or the amount which has been watched
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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]
- H04N21/40—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
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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]
- H04N21/40—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
- H04N21/4661—Deriving a combined profile for a plurality of end-users of the same client, e.g. for family members within a home
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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]
- H04N21/40—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
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Abstract
The application relates to a method, a device, a storage medium and a server for determining the age stage of a family member, and belongs to the technical field of intelligent televisions. The application includes: acquiring watching behavior data recorded by a playing terminal and acquiring television program information data; and obtaining the corrected age stage of each member of the family according to the watching behavior data recorded by the playing terminal and the television program information data. Through the method and the device, accurate age stage attributes of each member of the family can be obtained, and good service is provided for the family of the user.
Description
Technical Field
The application belongs to the technical field of smart televisions, and particularly relates to a method, a device, a storage medium and a server for determining the age stage of a family member.
Background
The smart television is an open interactive platform, and can integrate network resources to provide better services for users. At present, the common methods in the industry are to identify and identify family members manually, or to identify the family members by detecting local area network mobile devices, and the two methods have the problem that the accurate age stage attributes of the family members are difficult to obtain, for example, parents in the stage of nurturing children may be young parents or middle-aged parents, so that more accurate matching is difficult to achieve in the aspect of pushing services.
Disclosure of Invention
In order to overcome the problems in the related art at least to a certain extent, the present application provides a method, an apparatus, a storage medium, and a server for determining the age stage of a family member, which are helpful for obtaining accurate age stage attributes of each member of the family.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the present application provides a method of determining the age stage of a family member, the method comprising:
acquiring watching behavior data recorded by a playing terminal and acquiring television program information data;
and obtaining the corrected age stage of each member of the family according to the watching behavior data recorded by the playing terminal and the television program information data.
Further, the obtaining of the corrected age stage of each member of the family according to the viewing behavior data recorded by the playing terminal and the television program information data includes:
obtaining family member composition information according to the watching behavior data and the television program information data;
determining a predefined age range corresponding to each family member in the family member composition information by using a predefined age range corresponding to a preset family member;
according to the watching behavior data, utilizing the family member composition information carrying the predefined age groups corresponding to the family members and the target age group data in the television program information data to carry out age group correction processing on the family members so as to obtain the corrected age groups of the family members.
Further, the obtaining of the family member composition information according to the viewing behavior data and the television program information data includes:
based on the watching behavior data, determining the program information watched by the resident member and the family population number by using the type information and the playing time information of the program in the television program information data;
and obtaining the family member composition information according to the family identity of the program target group, the determined program information watched by the resident member and the family population number in the television program information data.
Further, the obtaining, according to the viewing behavior data, age group modification processing of each family member by using the family member composition information carrying a predefined age group corresponding to each family member and target age group data in the television program information data, includes:
matching and associating the family member composition information carrying the predefined age groups corresponding to the family members with the viewing behavior data;
correspondingly splicing and combining the watching behavior data which are matched and associated with the target age group data in the television program information data;
judging whether the predefined age groups corresponding to the members of the family and the target age groups corresponding to the programs watched by the members of the family have intersection or not according to the spliced and combined data;
and if the program is judged to exist, selecting the program which is watched most by each member of the family as the corresponding age group judgment identifier, and taking the intersection of the target age group corresponding to the program which is watched most by each member of the family and the corresponding predefined age group as the corrected age group of each member of the family.
In a second aspect of the present invention,
the application provides a device for determining the age stage of a family member, comprising:
the acquisition module is used for acquiring the watching behavior data recorded by the playing terminal and acquiring the television program information data;
and the obtaining module is used for obtaining the corrected age stage of each member of the family according to the watching behavior data recorded by the playing terminal and the television program information data.
Further, the obtaining module is specifically configured to:
the first obtaining submodule is used for obtaining the family member composition information according to the watching behavior data and the television program information data;
the second obtaining submodule is used for obtaining the predefined age groups corresponding to all family members in the family member composition information by utilizing the predefined age groups corresponding to the preset family members;
and the third obtaining submodule is used for carrying out age group correction processing on each family member by utilizing the family member composition information carrying the predefined age group corresponding to each family member and the target age group data in the television program information data according to the watching behavior data to obtain the corrected age group of each family member.
Further, the first obtaining submodule is specifically configured to:
based on the watching behavior data, determining the program information watched by the resident member and the family population number by using the type information and the playing time information of the program in the television program information data;
and obtaining the family member composition information according to the family identity of the program target group, the determined program information watched by the resident member and the family population number in the television program information data.
Further, the third obtaining submodule is specifically configured to:
matching and associating the family member composition information carrying the predefined age groups corresponding to the family members with the viewing behavior data;
correspondingly splicing and combining the watching behavior data which are matched and associated with the target age group data in the television program information data;
judging whether the predefined age groups corresponding to the members of the family and the target age groups corresponding to the programs watched by the members of the family have intersection or not according to the spliced and combined data;
and if the program is judged to exist, selecting the program which is watched most by each member of the family as the corresponding age group judgment identifier, and taking the intersection of the target age group corresponding to the program which is watched most by each member of the family and the corresponding predefined age group as the corrected age group of each member of the family.
In a third aspect,
the present application provides a readable storage medium having stored thereon a program which, when executed by a processor, performs the steps of any of the methods described above.
In a fourth aspect of the present invention,
the present application provides a server comprising:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of any of the methods described above.
This application adopts above technical scheme, possesses following beneficial effect at least:
according to the method and the device, the watching behavior data recorded by the playing terminal and the television program information data are utilized, the respective watching behaviors of all members of the family and the program information corresponding to all television programs are utilized, the corrected age stage of all the members of the family is obtained through data analysis and processing, the more accurate age stage attribute of all the members of the family is favorably obtained, and good service is further provided for the family of the user.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present application, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow diagram illustrating a method of determining the age stage of a family member, according to an exemplary embodiment;
FIG. 2 is a block diagram illustrating an apparatus for determining the age stage of a family member in accordance with one exemplary embodiment;
fig. 3 is a schematic diagram illustrating a structure of a server according to an example embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail below. It is to be understood that the embodiments described are only a few embodiments of the present application and not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without making any creative effort, shall fall within the protection scope of the present application.
In a first aspect of the present application, please refer to fig. 1, fig. 1 is a flowchart illustrating a method for determining an age stage of a family member according to an exemplary embodiment, where the method for determining the age stage of the family member includes the following steps:
step S101, acquiring watching behavior data recorded by a playing terminal and acquiring television program information data;
and step S102, obtaining the corrected age stage of each member of the family according to the watching behavior data recorded by the playing terminal and the television program information data.
Specifically, the playing terminal of the present application may be a smart television itself, or a television box configured for a non-smart television. When the intelligent terminal is started to be connected into a network, each member of the family can perform watching operation according to own preference, and the playing terminal collects the watching operation data through the built-in service and uploads the watching operation data to the server of the service provider through the network. The server obtains the corrected age stage of each member of the family through data analysis and processing according to the watching behavior data and the television program information data and the respective watching behaviors of each member of the family and the program information corresponding to each television program according to the watching behavior data and the television program information data, the corrected age stage can reflect the age stage attribute of each member of the family more accurately, for example, the parent which is in the stage of nurturing children is judged to be a young parent or a middle-aged parent according to the respective watching behaviors of the parent and the child and the program information corresponding to the respective watching programs. Therefore, accurate age-stage attributes of all members of the family can be obtained, and good service is provided for the family of the user.
For television program information data, available from program authorities, may include: the type information of the program (may include drama, movie, anarchy, cartoon, sports, military affairs and children), the playing time information (may include the starting playing time point, the playing duration, etc.), the family identity of the target group of each program, and the like.
For step S102, in an embodiment, the obtaining a corrected age stage of each member of the family according to the viewing behavior data recorded by the broadcast terminal and the tv program information data includes the following steps:
1001, obtaining family member composition information according to the watching behavior data and the television program information data;
step 1002, determining a predefined age group corresponding to each family member in the family member composition information by using a predefined age group corresponding to a preset family member;
step 1003, according to the viewing behavior data, utilizing the family member composition information carrying the predefined age groups corresponding to the family members and the target age group data in the television program information data to perform age group correction processing on the family members to obtain the corrected age groups of the family members.
Specifically, based on the television programs watched by each member of the family, the group of members of the family can be determined by using the type information (which may include drama, movie, art, animation, sports, military affairs and children) of the programs included in the television program information data, the playing time information (which may include the playing starting time point, the playing duration, and the like), the family identity of the target group of each program, and the like.
The preset predefined age bracket corresponding to the family member is utilized, and in specific application, the predefined age bracket can be defined by a service party or the age bracket adopting the generally accepted social definition of the family identity. Based on the television programs watched by each member of the family, combining the predefined age bracket corresponding to each member of the family with the target age bracket corresponding to the programs watched by each member of the family, and correcting the age bracket corresponding to each member of the family to obtain a more accurate corrected age bracket.
With respect to step 1001, in an embodiment, the obtaining family member composition information according to the viewing behavior data and the tv program information data includes:
based on the watching behavior data, determining the program information watched by the resident member and the family population number by using the type information and the playing time information of the program in the television program information data;
and obtaining the family member composition information according to the family identity of the program target group, the determined program information watched by the resident member and the family population number in the television program information data.
By using the method, the server of the program service provider can distinguish and identify mixed data generated by family members watching television programs on the same playing terminal based on the obtained watching behavior data recorded by the playing terminal and the television program information data provided by program authorities, and can split the mixed data into more accurate behavior data of the family members, so as to determine the composition of the family members, thereby realizing the composition attribute of the family members on a single playing terminal identifier, overcoming the defect that the user worrys about the leakage of the biological characteristic information of the family members caused by determining the composition of the family members by identifying and distinguishing the personal biological characteristic information of the family members through a detection element, and further realizing the provision of good services for the family of the user, such as advertisement services which are more in line with the family requirements.
For the above-mentioned step method, based on the viewing behavior data, determining the program information watched by the resident member and the population number of the family by using the type information and the playing time information of the program in the television program information data, in an embodiment, the method includes:
carrying out associated configuration on the watching behavior data according to the program type information and the playing time information in the television program information data;
grouping the viewing behavior data subjected to the associated configuration according to program types;
and determining the program information watched by the resident member and the family population according to the watching behavior data grouped by program types and configured by the association.
Specifically, according to the program type information and the playing time information in the television program information data, corresponding program type information and playing time information are configured for each program in the viewing behavior data in an associated manner, then the viewing behavior data associated with the configured corresponding program type information and playing time information are grouped according to the program types, for example, the viewing behavior data are grouped according to the program types of drama, movie, synthesis art, cartoon, sports, military, children and the like, and finally, the program information watched by the resident member and the family population are determined according to the viewing behavior data which is configured in an associated manner and is grouped according to the program types.
In one embodiment, determining program information watched by resident members and the population number of the family according to the viewing behavior data grouped by program types configured by the association comprises:
determining the program information watched by the resident member according to the starting playing time point, the playing time length and the playing times of each type of program in the watching behavior data; and
and determining the number of the family population according to the playing times of various types of programs in the watching behavior data.
Further, for the program information watched by the resident member determined according to the starting playing time point, the playing time length and the playing times of each type of program in the viewing behavior data, the following implementation manner is provided in the present application:
obtaining the playing time length of the type program played by the fixed point according to the starting playing time point of each type program in the watching behavior data;
obtaining the playing weight of each type of program according to the playing time length and the playing times of each type of program in the watching behavior data;
and determining the program information watched by the resident member according to the obtained playing time length of the type program played by the fixed point and the playing weight of each type program.
Further, for the above determining the number of the family population according to the playing times of each type of program in the viewing behavior data, the following implementation manner is provided in the present application:
screening out low-frequency watching programs according to a preset screening threshold frequency;
and determining the number of the family population according to the type preference based on the screened programs.
For step 1003, according to the viewing behavior data, performing age group modification processing on each family member by using the family member composition information carrying the predefined age group corresponding to each family member and the target age group data in the television program information data to obtain the modified age group of each family member, in an embodiment, the present application provides the following implementation manner:
matching and associating the family member composition information carrying the predefined age groups corresponding to the family members with the viewing behavior data;
correspondingly splicing and combining the watching behavior data which are matched and associated with the target age group data in the television program information data;
judging whether the predefined age groups corresponding to the members of the family and the target age groups corresponding to the programs watched by the members of the family have intersection or not according to the spliced and combined data;
and if the program is judged to exist, selecting the program which is watched most by each member of the family as the corresponding age group judgment identifier, and taking the intersection of the target age group corresponding to the program which is watched most by each member of the family and the corresponding predefined age group as the corrected age group of each member of the family.
Specifically, the family member composition information carrying the predefined age groups corresponding to the family members is matched and associated with the viewing behavior data, so that each viewed program in the viewing behavior data carries the family member composition information and the corresponding predefined age groups, and then the viewing behavior data is further fused with the target age groups corresponding to the television programs in the television program information data by correspondingly splicing and combining the target age groups with the target age group data in the television program information data. And judging whether the predefined age groups corresponding to the members of the family and the target age groups corresponding to the programs watched by the members of the family have intersection or not according to the spliced and combined data, wherein the purpose is to eliminate the error data of the grandparent corresponding to the infant type. After the predefined age groups corresponding to the members of the family have intersection with the target age groups corresponding to the programs watched by the members, selecting the program watched most by the members of the family as the age group judgment identification corresponding to each member, and using the intersection of the target age group corresponding to the program watched most by each member of the family and the predefined age group corresponding to each member as the corrected age group of each member of the family.
Referring to fig. 2, in a second aspect of the present application, fig. 2 is a block diagram illustrating an apparatus for determining an age stage of a family member according to an exemplary embodiment, and as shown in fig. 2, the apparatus 2 for determining an age stage of a family member includes:
an obtaining module 201, configured to obtain viewing behavior data recorded by a playing terminal, and obtain television program information data;
the obtaining module 202 obtains the corrected age stage of each member of the family according to the viewing behavior data recorded by the playing terminal and the television program information data.
Further, the obtaining module 202 is specifically configured to:
the first obtaining submodule is used for obtaining the family member composition information according to the watching behavior data and the television program information data;
the second obtaining submodule is used for obtaining the predefined age groups corresponding to all family members in the family member composition information by utilizing the predefined age groups corresponding to the preset family members;
and the third obtaining submodule is used for carrying out age group correction processing on each family member by utilizing the family member composition information carrying the predefined age group corresponding to each family member and the target age group data in the television program information data according to the watching behavior data to obtain the corrected age group of each family member.
Further, the first obtaining submodule is specifically configured to:
based on the watching behavior data, determining the program information watched by the resident member and the family population number by using the type information and the playing time information of the program in the television program information data;
and obtaining the family member composition information according to the family identity of the program target group, the determined program information watched by the resident member and the family population number in the television program information data.
Further, the third obtaining submodule is specifically configured to:
matching and associating the family member composition information carrying the predefined age groups corresponding to the family members with the viewing behavior data;
correspondingly splicing and combining the watching behavior data which are matched and associated with the target age group data in the television program information data;
judging whether the predefined age groups corresponding to the members of the family and the target age groups corresponding to the programs watched by the members of the family have intersection or not according to the spliced and combined data;
and if the program is judged to exist, selecting the program which is watched most by each member of the family as the corresponding age group judgment identifier, and taking the intersection of the target age group corresponding to the program which is watched most by each member of the family and the corresponding predefined age group as the corrected age group of each member of the family.
With regard to the apparatus 2 for determining the age stage of a family member in the above-described embodiment, the specific manner in which the respective modules perform operations has been described in detail in the embodiment related to the method, and will not be described in detail here.
In a third aspect of the present application, please refer to fig. 3, fig. 3 is a schematic structural diagram of a server according to an exemplary embodiment, and as shown in fig. 3, the server 3 includes:
one or more memories 301 having executable programs stored thereon;
one or more processors 302 for executing the executable program in the memory to implement the steps of any of the methods described above.
With respect to the server 3 in the above embodiment, in a specific application, the specific manner of executing the program of the memory 301 by the processor 302 thereof has been described in detail in the above embodiment related to the method, and will not be elaborated herein.
In a fourth aspect of the present application, there is provided a readable storage medium having a program stored thereon, which when executed by a processor, performs the steps of any of the methods described above.
With regard to the readable storage medium in the above embodiment, the specific manner of executing the operation by the stored program has been described in detail in the above embodiment related to the method, and will not be elaborated herein.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. In addition, in the description of the present application, the meaning of "plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as: represents modules, segments or portions of code which include one or more executable instructions for implementing specific logical functions or steps of a process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional module mode. The integrated module, if implemented in the form of a software functional module and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
Claims (8)
1. A method for determining the age stage of a family member, the method comprising:
acquiring watching behavior data recorded by a playing terminal and acquiring television program information data;
obtaining the corrected age stage of each member of the family according to the watching behavior data recorded by the playing terminal and the television program information data;
wherein, the obtaining of the corrected age stage of each member of the family according to the watching behavior data recorded by the playing terminal and the television program information data comprises:
obtaining family member composition information according to the watching behavior data and the television program information data;
determining a predefined age range corresponding to each family member in the family member composition information by using a predefined age range corresponding to the family identity of a preset family member;
according to the watching behavior data, utilizing the family member composition information carrying the predefined age groups corresponding to the family members and the target age group data in the television program information data to carry out age group correction processing on the family members so as to obtain the corrected age groups of the family members.
2. The method of claim 1, wherein obtaining family member composition information from the viewing behavior data and the television program information data comprises:
based on the watching behavior data, determining the program information watched by the resident member and the family population number by using the type information and the playing time information of the program in the television program information data;
and obtaining the family member composition information according to the family identity of the program target group, the determined program information watched by the resident member and the family population number in the television program information data.
3. The method according to claim 1, wherein said obtaining the age correction stage of each member of the family by performing age correction processing of each member of the family using the family member composition information carrying the predefined age group corresponding to each member of the family and the target age group data in the television program information data according to the viewing behavior data comprises:
matching and associating the family member composition information carrying the predefined age groups corresponding to the family members with the viewing behavior data;
correspondingly splicing and combining the watching behavior data which are matched and associated with the target age group data in the television program information data;
judging whether the predefined age groups corresponding to the members of the family and the target age groups corresponding to the programs watched by the members of the family have intersection or not according to the spliced and combined data;
and if the program is judged to exist, selecting the program which is watched most by each member of the family as the corresponding age group judgment identifier, and taking the intersection of the target age group corresponding to the program which is watched most by each member of the family and the corresponding predefined age group as the corrected age group of each member of the family.
4. An apparatus for determining the age stage of a family member, comprising:
the acquisition module is used for acquiring the watching behavior data recorded by the playing terminal and acquiring the television program information data;
the obtaining module is used for obtaining the age correcting stage of each member of the family according to the watching behavior data recorded by the playing terminal and the television program information data;
wherein the obtaining module is specifically configured to:
the first obtaining submodule is used for obtaining the family member composition information according to the watching behavior data and the television program information data;
the second obtaining submodule is used for obtaining the predefined age bracket corresponding to each family member in the family member composition information by using the predefined age bracket corresponding to the family identity of the preset family member;
and the third obtaining submodule is used for carrying out age group correction processing on each family member by utilizing the family member composition information carrying the predefined age group corresponding to each family member and the target age group data in the television program information data according to the watching behavior data to obtain the corrected age group of each family member.
5. The apparatus of claim 4, wherein the first derivation submodule is specifically configured to:
based on the watching behavior data, determining the program information watched by the resident member and the family population number by using the type information and the playing time information of the program in the television program information data;
and obtaining the family member composition information according to the family identity of the program target group, the determined program information watched by the resident member and the family population number in the television program information data.
6. The apparatus of claim 4, wherein the third derivation submodule is specifically configured to:
matching and associating the family member composition information carrying the predefined age groups corresponding to the family members with the viewing behavior data;
correspondingly splicing and combining the watching behavior data which are matched and associated with the target age group data in the television program information data;
judging whether the predefined age groups corresponding to the members of the family and the target age groups corresponding to the programs watched by the members of the family have intersection or not according to the spliced and combined data;
and if the program is judged to exist, selecting the program which is watched most by each member of the family as the corresponding age group judgment identifier, and taking the intersection of the target age group corresponding to the program which is watched most by each member of the family and the corresponding predefined age group as the corrected age group of each member of the family.
7. A readable storage medium, on which a program is stored which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 3.
8. A server, comprising:
one or more memories having executable programs stored thereon;
one or more processors configured to execute the executable program in the memory to implement the steps of the method of any one of claims 1-3.
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| CN114554296B (en) * | 2022-01-26 | 2024-05-24 | 浙江原初数据科技有限公司 | IPTV user family portrait extraction system and method |
| CN115134668A (en) * | 2022-03-14 | 2022-09-30 | 深圳市酷开网络科技股份有限公司 | OTT-based family member age group and family structure dividing method and device |
Family Cites Families (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TW359781B (en) * | 1993-05-25 | 1999-06-01 | Casio Computer Co Ltd | Animal image display controlling devices and method thereof |
| US9105053B2 (en) * | 2010-03-23 | 2015-08-11 | Nokia Technologies Oy | Method and apparatus for determining a user age range |
| CN102968738A (en) * | 2012-12-06 | 2013-03-13 | 中国科学院半导体研究所 | Advertising system |
| US20160189182A1 (en) * | 2014-12-31 | 2016-06-30 | The Nielsen Company (Us), Llc | Methods and apparatus to correct age misattribution in media impressions |
| CN104822074B (en) * | 2015-04-14 | 2017-11-28 | 天脉聚源(北京)传媒科技有限公司 | A kind of recommendation method and device of TV programme |
| CN106713104B (en) * | 2015-08-12 | 2021-06-18 | 深圳市腾讯计算机系统有限公司 | Multimedia information pushing method and device |
| CN106454529A (en) * | 2016-10-21 | 2017-02-22 | 乐视控股（北京）有限公司 | Family member analyzing method and device based on television |
| CN107846611A (en) * | 2017-11-03 | 2018-03-27 | 中广热点云科技有限公司 | A kind of TV programme method for pushing and system based on age bracket |
| CN108337541A (en) * | 2017-12-26 | 2018-07-27 | 北京秒针信息咨询有限公司 | A kind of advertisement placement method and device, computer readable storage medium |
| CN109636481A (en) * | 2018-12-19 | 2019-04-16 | 未来电视有限公司 | User's portrait construction method and device towards domestic consumer |
| CN110012060B (en) * | 2019-02-13 | 2023-04-18 | 平安科技（深圳）有限公司 | Information pushing method and device of mobile terminal, storage medium and server |
| CN110602533B (en) * | 2019-09-10 | 2021-05-11 | 四川长虹电器股份有限公司 | Intelligent television advertisement recommendation system and method for time-sharing and crowd-sharing |
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