WO2023173975A1 - 基于ott的家庭成员年龄段及家庭结构划分方法及装置 - Google Patents

基于ott的家庭成员年龄段及家庭结构划分方法及装置 Download PDF

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Publication number
WO2023173975A1
WO2023173975A1 PCT/CN2023/075751 CN2023075751W WO2023173975A1 WO 2023173975 A1 WO2023173975 A1 WO 2023173975A1 CN 2023075751 W CN2023075751 W CN 2023075751W WO 2023173975 A1 WO2023173975 A1 WO 2023173975A1
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WIPO (PCT)
Prior art keywords
film
user
data
age group
family
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PCT/CN2023/075751
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English (en)
French (fr)
Inventor
余辉
关越
马万铮
王志国
邢焱
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深圳市酷开网络科技股份有限公司
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Publication of WO2023173975A1 publication Critical patent/WO2023173975A1/zh

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
    • H04N21/40—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
    • H04N21/45—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

Definitions

  • the present disclosure relates to the technical field of playback equipment, and in particular to an OTT-based method and device for classifying family members' age groups and family structures.
  • User portraits also known as user personas, are an effective tool to outline target users and connect user demands and design directions. User portraits have been widely used in various fields. However, user portraits in the OTT industry only generate user portraits for one device, and cannot produce portraits of multiple members of the family in terms of age group and family structure. Sometimes it is inconvenient to push accurately.
  • the technical problem to be solved by this disclosure is to provide an OTT-based method, device, playback equipment and storage medium for classifying family members' age groups and family structures in view of the above-mentioned defects of the existing technology.
  • This disclosure obtains the characteristics of the programs watched by users, By dividing the program into age groups and forming family member portraits through the family member structure, it is possible to produce portraits of multiple members in the family in terms of age group and family structure, which is conducive to accurate push and provides convenience for users.
  • the first aspect of the present disclosure provides an OTT-based method for classifying family members' age groups and family structures.
  • the above method includes:
  • the data of the age group corresponding to the film and television content watched by the user and the content corresponding to the user are obtained; and the data of the age group corresponding to the film and television content watched by the user and the content corresponding to the user are merged to obtain the age group of the family members. data;
  • the steps of labeling and classifying film and television content in advance and marking the viewing age groups corresponding to the film and television content include:
  • the film and television content is tagged and classified in advance: divided into regions, eras, content forms, interest channels, and content categories; among them, each video is tagged in the content category.
  • the OTT-based method for classifying family members' age groups and family structures wherein the steps of labeling and classifying film and television content in advance and marking the viewing age groups corresponding to the film and television content include:
  • the OTT-based family member age group and family structure classification method wherein the steps of obtaining the film and television content watched by the user and recording the film and television title and time of the film and television content watched by the user include:
  • the OTT-based family member age group and family structure classification method wherein the data of the age group corresponding to the film and television content watched by the user and the user's corresponding content are obtained according to the film and television name of the film and television content watched by the user; and the data of the user's corresponding content are obtained;
  • the steps to merge the data of the corresponding age groups of the film and television content and the corresponding content of the users to obtain the age group data of family members include:
  • the data of the age group corresponding to the film and television content watched by the user and the corresponding content of the user are obtained;
  • the age interval data is finally obtained;
  • the age group data of family members is obtained.
  • the OTT-based family member age group and family structure classification method wherein the step of analyzing the obtained family member age group data and obtaining the family structure data includes:
  • the attributes of the family member age group data are analyzed to obtain family structure data.
  • the step of analyzing the obtained family member age group data and obtaining the family structure data also includes:
  • the playback device For the playback device that has obtained the family structure data, its MAC address is obtained, and the cell address is obtained through the longitude and latitude data of the MAC address, resulting in a deformation of the family structure data.
  • a second aspect of the present disclosure provides an OTT-based device for classifying family members' age groups and family structures, wherein the device includes:
  • the pre-set module is used to label and classify film and television content in advance, and at the same time mark the viewing age group corresponding to the film and television content;
  • the acquisition module is used to obtain the film and television content watched by the user, and record the film and television title and time of the film and television content watched by the user;
  • the age group data confirmation module is used to obtain the data of the age group and user-corresponding content of the film and television content watched by the user based on the film and television content watched by the user; and the data of the age group and user-corresponding content of the film and television content watched by the user. Merge and obtain age group data of family members;
  • the family structure data confirmation module is used to analyze the obtained age group data of family members and obtain family structure data.
  • a third aspect of the present disclosure provides a playback device, which includes a memory and one or more programs, wherein the memory is a non-transitory computer-readable storage medium, and the one or more programs are stored in the The program is stored in the memory and is configured to be executed by one or more processors to execute any one of the above OTT-based family member age group and family structure classification methods.
  • the present disclosure provides an OTT-based method for classifying family members' age groups and family structures.
  • This disclosure marks the age ranges of film and television programs and obtains the main content of the family through the user's film and television viewing content.
  • the user's family member structure is finally derived.
  • This method can solve the age group of the user’s family members and family structure division; by obtaining the characteristics of users watching programs, dividing the programs into age groups, and forming family member portraits through the family member structure, it is possible to create portraits of multiple members in the family in terms of age group and family structure, which is beneficial to Accurate push provides convenience for users.
  • FIG. 1 is a flowchart of a specific implementation method of an OTT-based family member age group and family structure classification method provided by an embodiment of the present disclosure.
  • Figure 2 is a schematic diagram of the film and television content tag classification structure of the OTT-based family member age group and family structure classification method according to an embodiment of the present disclosure.
  • Figure 3 is a structural diagram of the age group of family members in the OTT user portrait based on the OTT family member age group and family structure division method according to an embodiment of the present disclosure.
  • Figure 4 is a functional block diagram of an OTT-based device for classifying family members' age groups and family structures provided by an embodiment of the present disclosure.
  • Figure 5 is a functional block diagram of the internal structure of a playback device provided by an embodiment of the present disclosure.
  • OTT refers to Internet companies bypassing operators and developing various video and data service businesses based on the open Internet.
  • User portraits also known as user personas, are an effective tool to outline target users and connect user demands and design directions. User portraits have been widely used in various fields. However, user portraits in the OTT industry only generate user portraits for one device, and cannot produce portraits of multiple members of the family in terms of age group and family structure. Sometimes it is inconvenient to push accurately.
  • this embodiment provides an OTT-based method for classifying the age groups and family structures of family members.
  • the age ranges are marked on the film and television programs, and the main information of the family is obtained through the user's film and television viewing content.
  • Age range and finally export the user's family member structure.
  • This method can solve the division of the age group and family structure of the user's family members. Therefore, the present disclosure can realize user profiling of smart TVs in the OTT industry for one device to profile multiple members of the family, which is more in line with actual family application scenarios and provides convenience for users.
  • This embodiment provides an OTT-based method for classifying family members' age groups and family structures.
  • the specific embodiment mainly includes the following four steps: The first part is that the media information system outputs film and television content tags. The second part is that users will mark content tags after watching movies and TV shows. The third part combines the user's corresponding content and the content's corresponding age group to output the family age group. The fourth part obtains the division of family structure through the attributes of family age groups. The details are as follows:
  • the OTT-based family member age group and family structure classification method of this disclosed embodiment specifically includes the following steps:
  • Step S100 Label and classify the film and television content in advance, and mark the viewing age group corresponding to the film and television content;
  • the film and television content will be pre-labeled and classified in the film and television library.
  • the present disclosure can classify the film and television content labels into the region to which it belongs, the era to which it belongs, and the content form. , interest channels, content categories.
  • the region refers to the region where the film and television content belongs, such as China, Japan, South Korea, Hong Kong, Macao, Taiwan, Europe, America, Southeast Asia, and other regions.
  • the era belongs to the era of the film and television content, such as the past three years, the 2020s, the 2000s, the 1990s, etc.
  • the content form is the content form of film and television content, such as TV series, movies, short videos, documentaries, animations, variety shows, etc.
  • Interest channels are channels where film and television content belongs, such as sports, fashion, life, science and education, news and information, etc.; this disclosure will label each video in the content category, such as: Xiyang Cang Big Wolf Episode 1, Synchronous Tutoring # junior high school. English, Love Apartment Season 1 Episode 1, Family Secrets Episode 1, Kangxi Dynasty Episode 1, A's Story Episode 1, Three Kingdoms Show Episode 1, B Opening Ceremony, etc. When a user clicks on a video on a TV series, the user will be tagged.
  • the film and television content is classified according to the film name, and the viewing age group corresponding to the film is marked at the same time. Specifically, there will be some sorting before the videos are released on TV. In particular, the content will be classified according to the title of the film, and the age group for watching the film will be marked, as shown in Table 1 below:
  • Table 1 Film and television content corresponding to age groups
  • the first film and television content is the first episode of Xiyang Big Big Big Wolf.
  • the region is China
  • the age attribute is the past three years
  • the content format is animation
  • the interest channel is children
  • the age group is under 10 years old.
  • Step S200 Obtain the film and television content watched by the user, and record the film and television title and time of the film and television content watched by the user;
  • a device such as a smart TV or software based on the OTT family member age group and family structure classification method will first obtain the film and television content watched by the user of the playback device with the same MAC address, and record the film and television content watched by the user.
  • a TV or a set-top box has a MAC address, which the user can understand as the MAC address. As shown in Table 2 below:
  • the user ID is 0854BBBD670D
  • the film and television content is: Episode 1 of Xiyang Big Wolf
  • the viewing time is 2022-01-1512:00:00
  • the end time is 2022-01-1513:00:00.
  • Step S300 According to the title of the film and television content watched by the user, obtain the data of the age group corresponding to the film and television content watched by the user and the data corresponding to the user's corresponding content. For example, if the film and television content watched by the user is: Episode 1 of Xiyang Big Big Wolf, then the corresponding age group is 10 years old.
  • the data corresponding to the user's content is that the user ID is 0854BBBD670D; and the data corresponding to the age group of the film and television content watched by the user and the data corresponding to the user's content are merged to obtain the age group data of family members; that is, the same playback device (with the same MAC address)
  • the age group data of family members corresponding to the playback device will be obtained.
  • the specific steps are: according to the obtained film and television names of the film and television content watched by the user of the same playback device, obtain the data of the age group and the user's corresponding content of the film and television content watched by the user; for example, for the same playback device (which can be a MAC address The same playback device) obtained the user ID as 0854BBBD670D, and the film and television content watched is: The first episode of Xiyang Big Wolf, the corresponding age group of the film and television content is under 10 years old, corresponding to the user's children; and another user ID is 1077170D4DCA, and the film and television content watched is The content of the film and television is: The first episode of Family Secret, the corresponding age group is 31--40 years old. Another user ID is A4E61596390A, and the film and television content watched is: Episode 1 of Three Kingdoms Act, and the corresponding age group is 60 years old and above.
  • the obtained data about the age group of the film and television content watched by the user and the corresponding content of the user are cleaned, processed, and filtered to obtain a list of programs watched by user members and a list of the ages corresponding to the programs; as shown in Table 2 and Table 1.
  • the list of programs watched by user 0854BBBD670D with the same user ID is: Episode 1 of Xi Yang Cang Big Wolf, Synchronous Tutoring #JuniorYiEnglish, and Episode 1 of Season 1 of Love Apartment.
  • the age lists corresponding to the programs are: Episode 1 of Xiyang Big Big Wolf,
  • age interval data is finally obtained; based on the age interval data, family member age group data is obtained.
  • the list of programs watched by the user 0854BBBD670D with the same user ID is: the first episode of Xi Yang Yang Big Wolf, Synchronous Tutoring #JuniorYiEnglish, and the first episode of Love Apartment Season 1.
  • the age lists corresponding to the programs are: the first episode of Xiyang Big Big Wolf, corresponding to the age group 10 years old and below; Synchronous Tutoring#JuniorYear English, corresponding to the age group 11--20 years old; the first episode of the first season of Love Apartment, corresponding to the age group 21 --30 years old. Finally, the age range data was obtained. This family has children under the age of 10, children in the corresponding age group 11--20 years old, and young people in the age group 21--30 years old, etc.
  • Step S400 Analyze the obtained age group data of family members to obtain family structure data.
  • the attributes of the family member age group data are analyzed to obtain family structure data.
  • the data of the age groups corresponding to the film and television content and the content corresponding to the users are cleaned, processed, and filtered, and a list of programs watched by user members and a list of ages corresponding to the programs can be obtained.
  • the data can be obtained.
  • the age range data is finally obtained.
  • Family structure can be obtained through age range data. (In addition: If the duration of the video watched by the user is less than 5 minutes, it can be filtered, or if a certain age group appears less than 5 times, it can be filtered), as shown below:
  • the playback device of user 1077170D4DCA after processing and cleaning the film and television content data: the age and content correspond to: "31--40 years old”: “Family Secrets Episode 1", "41--50 years old”: “Kangxi Dynasty Episode 1" . Then it is judged that the family structure is: a middle-aged family of two.
  • the playback device of user A4E61596390A after processing and cleaning the film and television content data: the age and content correspond to: "51--60 years old”: “The first episode of Kangxi Dynasty", “Over 60 years old”: “The first episode of A's story” . Then it is judged that the family structure is: a home for the elderly living alone.
  • Figure 3 is an age structure diagram of family members in OTT user portraits according to an embodiment of the disclosed method.
  • the film and television content tags, the film and television content that the user watches on TV, and the corresponding content of the user are identified to identify the age stage of the content.
  • Family age stages are divided into under 10 years old, 11-20 years old, 21-30 years old,..., 41-50 years old, 51-60 years old, and over 60 years old.
  • the machine family structure is divided into: young family of three, middle-aged family of two, one old and one young, elderly living alone, three generations living under one roof, four generations living under one roof...
  • the OTT-based family member age group and family structure classification method described in this disclosure further includes:
  • the playback device For the playback device that has obtained the family structure data, its MAC address is obtained, and the cell address is obtained through the longitude and latitude data of the MAC address, resulting in a deformation of the family structure data.
  • the community address can be obtained through the latitude and longitude of the MAC, allowing the family structure to be deformed, such as well-off families, wealthy families, low-income families, middle-class families, etc.
  • the above method embodiments of the present disclosure obtain the characteristics of users watching programs, divide the programs into age groups, and form family member portraits through the family member structure.
  • the present disclosure digs out the family structure through film and television viewing behavior rules, such as: youth A family of three, a middle-aged family of two, a home for the elderly living alone, etc., by extracting member details from each user's viewing content and age range, and finally defining the user's family structure, it is possible to generate member age groups for multiple members in the family. and family structure portraits, which is conducive to accurate push and provides convenience for users.
  • an embodiment of the present disclosure provides an OTT-based device for classifying family members' age groups and family structures.
  • the device includes:
  • the pre-setting module 410 is used to pre-label and classify film and television content, and at the same time mark the viewing age group corresponding to the film and television content;
  • the acquisition module 420 is used to obtain the film and television content watched by the user, and record the film and television title and time of the film and television content watched by the user;
  • the age group data confirmation module 430 is used to obtain the data of the age group and user-corresponding content of the film and television content watched by the user according to the film and television title of the film and television content watched by the user; and to obtain the data of the age group and user-corresponding content of the film and television content watched by the user; The data is merged to obtain the age group data of family members;
  • the family structure data confirmation module 440 is used to analyze the obtained age group data of family members to obtain family structure data, specifically as described in the above method embodiment.
  • the present disclosure also provides a playback device, the functional block diagram of which can be shown in Figure 5 .
  • the playback device includes a processor, a memory, a network interface, and a display screen connected through a system bus.
  • the processor of the playback device is used to provide computing and control capabilities.
  • the memory of the playback device includes non-volatile storage media and internal memory.
  • the non-volatile storage medium stores operating systems and computer programs. This internal memory provides an environment for the execution of operating systems and computer programs in non-volatile storage media.
  • the network interface of the playback device is used to communicate with external terminals through network connections. When the computer program is executed by the processor, it implements an OTT-based method for classifying family members' age groups and family structures.
  • the display screen of the playback device may be a liquid crystal display screen or an electronic ink display screen.
  • a playback device including a memory and one or more programs, wherein the memory is a non-transitory computer-readable storage medium, one or more programs are stored in the memory, and The one or more programs configured to be executed by one or more processors include instructions for:
  • the data of the age group corresponding to the film and television content watched by the user and the content corresponding to the user are obtained; and the data of the age group corresponding to the film and television content watched by the user and the content corresponding to the user are merged to obtain the age group of the family members. data;
  • the steps of labeling and classifying the film and television content in advance and marking the viewing age group corresponding to the film and television content include:
  • the film and television content is tagged and classified in advance: divided into regions, eras, content forms, interest channels, and content categories; among them, each video is tagged in the content category.
  • the steps of labeling and classifying the film and television content in advance and marking the viewing age group corresponding to the film and television content include:
  • the OTT-based family member age group and family structure classification method wherein the steps of obtaining the film and television content watched by the user and recording the film and television title and time of the film and television content watched by the user include:
  • the data of the age group corresponding to the film and television content watched by the user and the content corresponding to the user are obtained according to the film and television name of the film and television content watched by the user; and the data of the age group and the user's corresponding content of the film and television content watched by the user are merged to obtain
  • the steps for family member age data include:
  • the data of the age group corresponding to the film and television content watched by the user and the corresponding content of the user are obtained;
  • the age interval data is finally obtained;
  • the age group data of family members is obtained.
  • the steps of analyzing the obtained age group data of family members and obtaining the family structure data include:
  • the attributes of the family member age group data are analyzed to obtain family structure data.
  • the step of analyzing the obtained age group data of family members and obtaining the family structure data also includes:
  • the playback device For the playback device that has obtained the family structure data, its MAC address is obtained, and the cell address is obtained through the longitude and latitude data of the MAC address, resulting in a deformation of the family structure data.
  • Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory.
  • Volatile memory may include random access memory (RAM) or external cache memory.
  • RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous chain Synchlink DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.
  • SRAM static RAM
  • DRAM dynamic RAM
  • SDRAM synchronous DRAM
  • DDRSDRAM double data rate SDRAM
  • ESDRAM enhanced SDRAM
  • SLDRAM synchronous chain Synchlink DRAM
  • Rambus direct RAM
  • DRAM direct memory bus dynamic RAM
  • RDRAM memory bus dynamic RAM
  • the present disclosure provides an OTT-based method, device, playback device and storage medium for classifying family members' age groups and family structures.
  • the present disclosure obtains family information by marking age ranges for film and television programs and through the user's film and television viewing content. Mainly for the age range, and finally derive the user family member structure.
  • This method can solve the division of the user's family members' age groups and family structures; by obtaining the characteristics of the user's viewing programs, the programs are divided into age groups, and at the same time, family member portraits are formed through the family member structure, which can realize the production of multiple members in the family. Portraits of age groups and family structures are conducive to accurate push and provide convenience for users.

Abstract

本公开提供了基于OTT的家庭成员年龄段及家庭结构划分方法及装置，方法包括：获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；对家庭成员年龄段数据进行分析，得到家庭结构数据。本方法可以解决用户的家庭成员年龄段和家庭结构的划分；通过获取用户观看节目特点，对节目进行年龄段划分，同时通过家庭成员结构形成家庭成员画像，可以实现对家庭中多位成员生产成员年龄段和家庭结构的画像，有利于进行精准推送，为用户使用提供了方便。

Description

基于OTT的家庭成员年龄段及家庭结构划分方法及装置 技术领域
本公开涉及播放设备技术领域，尤其涉及一种基于OTT的家庭成员年龄段及家庭结构划分方法及装置。
背景技术
随着科技的发展和人们生活水平的不断提高，各种播放设备如智能电视的使用越来越普及。智能电视已经成为人们生活中不可缺少的娱乐工具。
用户画像又称用户角色，作为一种勾画目标用户、联系用户诉求与设计方向的有效工具，用户画像在各领域得到了广泛的应用。然而在OTT行业的用户画像只是对一个设备生成用户画像，无法对家庭中多位成员生产成员年龄段和家庭结构的画像，有时不方便精准推送。
因此，现有技术还有待改进和提高。
发明内容
本公开要解决的技术问题在于，针对现有技术的上述缺陷，提供一种基于OTT的家庭成员年龄段及家庭结构划分方法、装置、播放设备及存储介质，本公开通过获取用户观看节目特点，对节目进行年龄段划分，同时通过家庭成员结构形成家庭成员画像，可以实现对家庭中多位成员生产成员年龄段和家庭结构的画像，有利于进行精准推送，为用户使用提供了方便。
为了解决上述技术问题，本公开第一方面提供一种基于OTT的家庭成员年龄段及家庭结构划分方法，上述方法包括：
预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；
对得到的家庭成员年龄段数据进行分析，得到家庭结构数据。
所述基于OTT的家庭成员年龄段及家庭结构划分方法，其中，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
预先将影视内容进行标签分类：分为所属地区、年代所属、内容形式、兴趣频道、内容类别；其中，在内容类别中对每一个视频进行打标签。
所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其中，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
将影视内容根据影片名称进行分类，同时标注影片对应的观看年龄段。
所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其中，所述获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间的步骤包括：
获取同一MAC地址播放设备的用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间，其中所述时间包括：开始观看时间和结束观看时间。
所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其中，所述根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据的步骤包括：
根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；
对得到的用户观看的影视内容对应年龄段和用户对应内容的数据，进行清洗、加工、过滤，得到用户成员观看的节目清单和节目对应的年龄清单；
根据得到的用户成员观看的节目清单和节目对应的年龄清单，最终得到年龄区间数据；
基于所述年龄区间数据，得到家庭成员年龄段数据。
所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其中，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤包括：
根据得到的家庭成员年龄段数据，分析家庭成员年龄段数据的属性，得到家庭结构数据。
所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其中，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤还包括：
对得到家庭结构数据的播放设备，获取其MAC地址，并通过MAC地址的经纬度数据获得小区地址，产生家庭结构数据的变形。
本公开第二方面提供一种基于OTT的家庭成员年龄段及家庭结构划分装置，其中，所述装置包括：
预先设置模块，用于预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
获取模块，用于获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
年龄段数据确认模块，用于根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；
家庭结构数据确认模块，用于对得到的家庭成员年龄段数据进行分析，得到家庭结构数据。
本公开第三方面提供一种播放设备，其中，包括有存储器，以及一个或者一个以上的程序，其中所述存储器为非临时性计算机可读存储介质，一个或者一个以上所述程序存储于所述存储器中，且经配置以由一个或者一个以上处理器执行所述程序，以执行以上任意一项所述的基于OTT的家庭成员年龄段及家庭结构划分方法。
有益效果：与现有技术相比，本公开提供了一种基于OTT的家庭成员年龄段及家庭结构划分方法，本公开通过对影视节目标记年龄区间，通过用户的影视观看的内容，获得家庭主要对年龄区间，最后导出用户家庭成员结构。本方法可以解决用户的家庭成员年龄段 和家庭结构的划分；通过获取用户观看节目特点，对节目进行年龄段划分，同时通过家庭成员结构形成家庭成员画像，可以实现对家庭中多位成员生产成员年龄段和家庭结构的画像，有利于进行精准推送，为用户使用提供了方便。
附图说明
图1为本公开实施例提供的基于OTT的家庭成员年龄段及家庭结构划分方法的具体实施方式的流程图。
图2是本公开实施例的基于OTT的家庭成员年龄段及家庭结构划分方法的影视内容标签分类结构示意图。
图3是本公开实施例的基于OTT的家庭成员年龄段及家庭结构划分方法的OTT用户画像中家庭成员年龄段架构图。
图4是本公开实施例提供的基于OTT的家庭成员年龄段及家庭结构划分装置的原理框图。
图5是本公开实施例提供的播放设备的内部结构原理框图。
具体实施方式
为使本公开的目的、技术方案及效果更加清楚、明确，以下参照附图并举实施例对本公开进一步详细说明。应当理解，此处所描述的具体实施例仅用以解释本公开，并不用于限定本公开。
随着科技的发展和人们生活水平的不断提高，各种播放设备如智能电视的使用越来越普及。智能电视已经成为人们生活中不可缺少的娱乐工具。OTT是指互联网公司越过运营商，发展基于开放互联网的各种视频及数据服务业务。
用户画像又称用户角色，作为一种勾画目标用户、联系用户诉求与设计方向的有效工具，用户画像在各领域得到了广泛的应用。然而在OTT行业的用户画像只是对一个设备生成用户画像，无法对家庭中多位成员生产成员年龄段和家庭结构的画像，有时不方便精准推送。
为了解决现有技术的问题，本实施例提供一种基于OTT的家庭成员年龄段及家庭结构划分方法，具体实施时，对影视节目标记年龄区间，通过用户的影视观看的内容，获得家庭主要对年龄区间，最后导出用户家庭成员结构。本方法可以解决用户的家庭成员年龄段和家庭结构的划分。因此，本公开可以实现智能电视在OTT行业的用户画像针对一个设备对家庭中多位成员进行画像，更加的符合实际家庭的应用场景，为用户的使用提供了方便。
示例性方法
本实施例提供一种基于OTT的家庭成员年龄段及家庭结构划分方法，具体实施例主要包括以下四个部分步骤：第一部分是媒体资讯系统输出影视内容标签。第二部分是用户观看影视后会标记内容标签。第三部分用户对应内容和内容对应年龄段进行合并输出家庭年龄段。第四部分通过家庭年龄段的属性得到家庭结构的划分。具体如下所述：
本实施例的方法可应用于播放设备中，具体实施时，如图1中所示，本公开实施例的基于OTT的家庭成员年龄段及家庭结构划分方法，具体包括以下步骤:
步骤S100、预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
在本公开实施例中，各影视内容制作好后会预先在影视库中将影视内容进行标签分类，如图2所示，本公开可以将影视内容标签分类分为所属地区、年代所属、内容形式、兴趣频道、内容类别。
其中,所属地区是指影视内容所属地区，例如中国、日韩、港澳台、欧美、东南亚、其他地区等。
而年代所属为影视内容所属年代例如近三年、2020年代、2000年代、90年代等。
而内容形式为影视内容所属内容形式例如电视剧、电影、短视频、记录片、动漫、综艺节目等。
而兴趣频道为影视内容所属频道例如体育、时尚、生活、科学教育、新闻资讯等；本公开在内容类别中会对每一个视频进行打标签，比如：喜洋洋灰太狼第一集、同步辅导#初一英语、爱情公寓第一季第一集、家庭秘密第一集、康熙王朝第一集、A的故事第一集、三国演艺第一集、B开幕式等等。当用户点击电视剧上面当视频时，用户就会被进行标记。
本公开实施例中，将影视内容根据影片名称进行分类，同时标注影片对应的观看年龄段。具体地，在电视的影片投放之前会有一定的整理，特别是内容方面根据影片名称进行分类，同时会标注影片观看年龄段，如下表1所示：
表1：影视内容对应年龄段
如上表所示，第一个影视内容为喜洋洋灰太狼第一集，所属地区为中国，年代属性为近三年、内容形式为动漫、兴趣频道为少儿，年龄段为10岁以下。
步骤S200、获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
本公开实施例具体实施时，基于OTT的家庭成员年龄段及家庭结构划分方法的装置例如智能电视或软件会、先获取同一MAC地址播放设备的用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间，其中所述时间包括：开始观看时间和结束观看时间。
例如：用户在观看影片时，客户端会记录用户观察的视频名称和时间，一个电视机或者一个机顶盒都有一位标识为就是MAC地址，用户可以理解为MAC地址。如下表2所示：
表2 记录用户观察的视频名称和时间
如上表2所示：用户ID为0854BBBD670D，影视内容为：喜洋洋灰太狼第一集；观看时间为2022-01-1512:00:00和结束时间为2022-01-1513:00:00。
步骤S300、根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据，例如用户观看的影视内容为：喜洋洋灰太狼第一集，则对应年龄阶段为10岁以下用户，用户对应内容的数据为用户ID为0854BBBD670D；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；即将同一播放设备(MAC地址相同的播放设备)下所有用户观看的影视内容对应年龄段和用户对应内容的数据进行合并，就会得到该播放设备对应的家庭成员年龄段数据。
本步骤中，具体为：根据获取的同一播放设备的用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；例如，对同一播放设备(可以是MAC地址相同的播放设备)获取到用户ID为0854BBBD670D，观看的影视内容为：喜洋洋灰太狼第一集，则该影视内容对应年龄段为10岁以下，对应用户儿童；而另一用户ID为1077170D4DCA，观看的影视内容为：家庭秘密第一集，则对应年龄阶段为31--40岁。而另一用户ID为A4E61596390A，观看的影视内容为：三国演艺第一集，则对应年龄阶段为60岁以上等。
然后对得到的用户观看的影视内容对应年龄段和用户对应内容的数据，进行清洗、加工、过滤，得到用户成员观看的节目清单和节目对应的年龄清单；如表2和表1所示。同一用户ID的用户0854BBBD670D观看的节目清单为：喜洋洋灰太狼第一集、同步辅导#初一英语、爱情公寓第一季第一集。节目对应的年龄清单分别为：喜洋洋灰太狼第一集，
对应年龄段10岁以下；同步辅导#初一英语，对应年龄段11--20岁；爱情公寓第一季第一集，对应年龄段21--30岁。
然后，根据得到的用户成员观看的节目清单和节目对应的年龄清单，最终得到年龄区间数据；基于所述年龄区间数据，得到家庭成员年龄段数据。
如上所述，同一用户ID的用户0854BBBD670D观看的节目清单为：喜洋洋灰太狼第一集、同步辅导#初一英语、爱情公寓第一季第一集。节目对应的年龄清单分别为：喜洋洋灰太狼第一集，对应年龄段10岁以下；同步辅导#初一英语，对应年龄段11--20岁；爱情公寓第一季第一集，对应年龄段21--30岁。最终得到年龄区间数据这家有年龄段10岁以下的儿童，有对应年龄段11--20岁小孩，有年龄段21--30岁青年等。
步骤S400、对得到的家庭成员年龄段数据进行分析，得到家庭结构数据。
本公开实施例中，会根据得到的家庭成员年龄段数据，分析家庭成员年龄段数据的属性，得到家庭结构数据。
本公开实施例中，对影视内容对应年龄段和用户对应内容的数据，进行清洗、加工、过滤，可以得到用户成员观看的节目清单和节目对应的年龄清单，同时根据每个公司的清洗规则不一样，最终得到年龄区间数据。通过年龄区间的数据可以得到家庭结构。(另外：如果用户观察的影片的时间小于5分钟可以过滤，或者某个年龄段出现次数低于5次可以过滤)，如下所示：
表3 家庭年龄段和家庭结构表

如上表所示：用户0854BBBD670D的播放设备，对影视内容数据加工清洗后：年龄及内容对应为："10岁以下":"喜洋洋灰太狼第一集","11--20岁":"同步辅导#初一英语",
"21--30岁":"爱情公寓第一季第一集"。则判断其家庭结构为：青年三口之家。
用户1077170D4DCA的播放设备，对影视内容数据加工清洗后：年龄及内容对应为："31--40岁":"家庭秘密第一集","41--50岁":"康熙王朝第一集。则判断其家庭结构为：中年两口之家。
用户A4E61596390A的播放设备，对影视内容数据加工清洗后：年龄及内容对应为："51--60岁":"康熙王朝第一集","60岁以上":"A的故事第一集"。则判断其家庭结构为：独居老人之家。
如图3所示，图3为本公开方法实施例的OTT用户画像中家庭成员年龄段架构图。先在媒体资讯系统，对影视内容标签，用户观看电视的影视内容，和用户对应内容，识别出内容对应年龄阶段。家庭年龄阶段，分10岁以下、11-20岁、21-30岁、…、41-50岁、51-60岁、60岁以上。机家庭结构分为：青年三口之家、中年两口之家、一老一少、独居老人、三代同堂、四世同堂….
本公开所述的基于OTT的家庭成员年龄段及家庭结构划分方法，进一步地，还包括：
对得到家庭结构数据的播放设备，获取其MAC地址，并通过MAC地址的经纬度数据获得小区地址，产生家庭结构数据的变形。例如，可以通过MAC的经纬度获得小区地址，让家庭结构的变形，比如小康家庭、富裕家庭、低收入家庭、中产家庭等等。通过产生家庭结构数据的变形，了解到各家庭富裕情况，可以实现更精准地为用户推送相关营销数据。
由上可见，本公开上述方法实施例，通过获取用户观看节目特点，对节目进行年龄段划分，同时通过家庭成员结构形成家庭成员画像，本公开通过影视观看行为规则挖掘出家庭结构，比如：青年三口之家、中年两口之家、独居老人之家等等，通过对每一个用户的观看内容和年龄区间提取成员明细，最后定义用户家庭结构，可以实现对家庭中多位成员生产成员年龄段和家庭结构的画像，有利于进行精准推送，为用户使用提供了方便。
示例性设备
如图4中所示，本公开实施例提供一种基于OTT的家庭成员年龄段及家庭结构划分装置，该装置包括：
预先设置模块410，用于预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
获取模块420，用于获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
年龄段数据确认模块430，用于根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；
家庭结构数据确认模块440，用于对得到的家庭成员年龄段数据进行分析，得到家庭结构数据，具体如上述方法实施例所述。
基于上述实施例，本公开还提供了一种播放设备，其原理框图可以如图5所示。该播放设备包括通过系统总线连接的处理器、存储器、网络接口、显示屏。其中，该播放设备的处理器用于提供计算和控制能力。该播放设备的存储器包括非易失性存储介质、内存储器。该非易失性存储介质存储有操作系统和计算机程序。该内存储器为非易失性存储介质中的操作系统和计算机程序的运行提供环境。该播放设备的网络接口用于与外部的终端通过网络连接通信。该计算机程序被处理器执行时以实现一种基于OTT的家庭成员年龄段及家庭结构划分方法。该播放设备的显示屏可以是液晶显示屏或者电子墨水显示屏。
本领域技术人员可以理解，图5中示出的原理框图，仅仅是与本公开方案相关的部分结构的框图，并不构成对本公开方案所应用于其上的播放设备的限定，具体的播放设备可以包括比图中所示更多或更少的部件，或者组合某些部件，或者具有不同的部件布置。
在一个实施例中，提供了一种播放设备，包括有存储器，以及一个或者一个以上的程序，其中所述存储器为非临时性计算机可读存储介质，一个或者一个以上程序存储于存储器中，且经配置以由一个或者一个以上处理器执行所述一个或者一个以上程序包含用于进行以下操作的指令：
预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；
对得到的家庭成员年龄段数据进行分析，得到家庭结构数据，具体如上所述。
其中，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
预先将影视内容进行标签分类：分为所属地区、年代所属、内容形式、兴趣频道、内容类别；其中，在内容类别中对每一个视频进行打标签。
其中，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
将影视内容根据影片名称进行分类，同时标注影片对应的观看年龄段。
所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其中，所述获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间的步骤包括：
获取同一MAC地址播放设备的用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间，其中所述时间包括：开始观看时间和结束观看时间。
其中，所述根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据的步骤包括：
根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；
对得到的用户观看的影视内容对应年龄段和用户对应内容的数据，进行清洗、加工、过滤，得到用户成员观看的节目清单和节目对应的年龄清单；
根据得到的用户成员观看的节目清单和节目对应的年龄清单，最终得到年龄区间数据；
基于所述年龄区间数据，得到家庭成员年龄段数据。
其中，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤包括：
根据得到的家庭成员年龄段数据，分析家庭成员年龄段数据的属性，得到家庭结构数据。
其中，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤还包括：
对得到家庭结构数据的播放设备，获取其MAC地址，并通过MAC地址的经纬度数据获得小区地址，产生家庭结构数据的变形。
本领域普通技术人员可以理解实现上述实施例方法中的全部或部分流程，是可以通过计算机程序来指令相关的硬件来完成，所述的计算机程序可存储于一非易失性计算机可读取存储介质中，该计算机程序在执行时，可包括如上述各方法的实施例的流程。其中，本公开所提供的各实施例中所使用的对存储器、存储、数据库或其它介质的任何引用，均可 包括非易失性和/或易失性存储器。非易失性存储器可包括只读存储器(ROM)、可编程ROM(PROM)、电可编程ROM(EPROM)、电可擦除可编程ROM(EEPROM)或闪存。易失性存储器可包括随机存取存储器(RAM)或者外部高速缓冲存储器。作为说明而非局限，RAM以多种形式可得，诸如静态RAM(SRAM)、动态RAM(DRAM)、同步DRAM(SDRAM)、双数据率SDRAM(DDRSDRAM)、增强型SDRAM(ESDRAM)、同步链路(Synchlink)DRAM(SLDRAM)、存储器总线(Rambus)直接RAM(RDRAM)、直接存储器总线动态RAM(DRDRAM)、以及存储器总线动态RAM(RDRAM)等。
综上，本公开提供了一种基于OTT的家庭成员年龄段及家庭结构划分方法、装置、播放设备及存储介质，本公开通过对影视节目标记年龄区间，通过用户的影视观看的内容，获得家庭主要对年龄区间，最后导出用户家庭成员结构。本方法可以解决用户的家庭成员年龄段和家庭结构的划分；通过获取用户观看节目特点，对节目进行年龄段划分，同时通过家庭成员结构形成家庭成员画像，可以实现对家庭中多位成员生产成员年龄段和家庭结构的画像，有利于进行精准推送，为用户使用提供了方便。
最后应说明的是：以上实施例仅用以说明本公开的技术方案，而非对其限制；尽管参照前述实施例对本公开进行了详细的说明，本领域的普通技术人员应当理解：其依然可以对前述各实施例所记载的技术方案进行修改，或者对其中部分技术特征进行等同替换；而这些修改或者替换，并不使相应技术方案的本质脱离本公开各实施例技术方案的精神和范围。

Claims (15)

  1. 一种基于OTT的家庭成员年龄段及家庭结构划分方法，其特征在于，所述方法包括：
    预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
    获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
    根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；
    对得到的家庭成员年龄段数据进行分析，得到家庭结构数据。
  2. 根据权利要求1所述基于OTT的家庭成员年龄段及家庭结构划分方法，其特征在于，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
    预先将影视内容进行标签分类：分为所属地区、年代所属、内容形式、兴趣频道、内容类别；其中，在内容类别中对每一个视频进行打标签。
  3. 根据权利要求2所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其特征在于，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
    将影视内容根据影片名称进行分类，同时标注影片对应的观看年龄段。
  4. 根据权利要求1所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其特征在于，所述获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间的步骤包括：
    获取同一MAC地址播放设备的用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间，其中所述时间包括：开始观看时间和结束观看时间。
  5. 根据权利要求1所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其特征在于，所述根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据的步骤包括：
    根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；
    对得到的用户观看的影视内容对应年龄段和用户对应内容的数据，进行清洗、加工、过滤，得到用户成员观看的节目清单和节目对应的年龄清单；
    根据得到的用户成员观看的节目清单和节目对应的年龄清单，最终得到年龄区间数据；
    基于所述年龄区间数据，得到家庭成员年龄段数据。
  6. 根据权利要求1所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其特征在于，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤包括：
    根据得到的家庭成员年龄段数据，分析家庭成员年龄段数据的属性，得到家庭结构数据。
  7. 根据权利要求4所述的基于OTT的家庭成员年龄段及家庭结构划分方法，其特征在于，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤还包括：
    对得到家庭结构数据的播放设备，获取其MAC地址，并通过MAC地址的经纬度数据获得小区地址，产生家庭结构数据的变形。
  8. 一种基于OTT的家庭成员年龄段及家庭结构划分装置，其特征在于，所述装置包括：
    预先设置模块，用于预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
    获取模块，用于获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
    年龄段数据确认模块，用于根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；
    家庭结构数据确认模块，用于对得到的家庭成员年龄段数据进行分析，得到家庭结构数据。
  9. 一种播放设备，其特征在于，包括有存储器，以及一个或者一个以上的程序，其中所述存储器为非临时性计算机可读存储介质，一个或者一个以上所述程序存储于所述存储器中，且经配置以由一个或者一个以上处理器执行所述程序，以执行一种基于OTT的家庭成员年龄段及家庭结构划分方法，所述方法包括：
    预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段；
    获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间；
    根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据；
    对得到的家庭成员年龄段数据进行分析，得到家庭结构数据。
  10. 根据权利要求9所述的播放设备，其特征在于，所述处理器执行所述程序时，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
    预先将影视内容进行标签分类：分为所属地区、年代所属、内容形式、兴趣频道、内容类别；其中，在内容类别中对每一个视频进行打标签。
  11. 根据权利要求10所述的播放设备，其特征在于，所述处理器执行所述程序时，所述预先将影视内容进行标签分类，同时标注影视内容对应的观看年龄段的步骤包括：
    将影视内容根据影片名称进行分类，同时标注影片对应的观看年龄段。
  12. 根据权利要求9所述的播放设备，其特征在于，所述处理器执行所述程序时，所述获取用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间的步骤包括：
    获取同一MAC地址播放设备的用户观看的影视内容，并记录用户观看的影视内容的影视名称和时间，其中所述时间包括：开始观看时间和结束观看时间。
  13. 根据权利要求9所述的播放设备，其特征在于，所述处理器执行所述程序时，所述根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；并对用户观看的影视内容对应年龄段和用户对应内容的数据进行合并、得到家庭成员年龄段数据的步骤包括：
    根据用户观看的影视内容的影视名称，得到用户观看的影视内容对应年龄段和用户对应内容的数据；
    对得到的用户观看的影视内容对应年龄段和用户对应内容的数据，进行清洗、加工、过滤，得到用户成员观看的节目清单和节目对应的年龄清单；
    根据得到的用户成员观看的节目清单和节目对应的年龄清单，最终得到年龄区间数据；
    基于所述年龄区间数据，得到家庭成员年龄段数据。
  14. 根据权利要求9所述的播放设备，其特征在于，所述处理器执行所述程序时，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤包括：
    根据得到的家庭成员年龄段数据，分析家庭成员年龄段数据的属性，得到家庭结构数据。
  15. 根据权利要求12所述的播放设备，其特征在于，所述处理器执行所述程序时，所述对得到的家庭成员年龄段数据进行分析，得到家庭结构数据的步骤还包括：
    对得到家庭结构数据的播放设备，获取其MAC地址，并通过MAC地址的经纬度数据获得小区地址，产生家庭结构数据的变形。
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CN115134668A (zh) * 2022-03-14 2022-09-30 深圳市酷开网络科技股份有限公司 基于ott的家庭成员年龄段及家庭结构划分方法及装置

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