CN111601167A - Method and platform for accurately positioning television program audience - Google Patents
Method and platform for accurately positioning television program audience Download PDFInfo
- Publication number
- CN111601167A CN111601167A CN202010434185.2A CN202010434185A CN111601167A CN 111601167 A CN111601167 A CN 111601167A CN 202010434185 A CN202010434185 A CN 202010434185A CN 111601167 A CN111601167 A CN 111601167A
- Authority
- CN
- China
- Prior art keywords
- terminal
- program
- data
- television
- watching
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—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
-
- 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
- H04N21/4668—Learning process for intelligent management, e.g. learning user preferences for recommending movies for recommending content, e.g. movies
Abstract
The invention relates to a method and a platform for accurately positioning television program audiences, wherein the method comprises the following steps: acquiring family member data and terminal viewing behavior data; the family member data and the terminal watching behavior data are correlated through the equipment identification of the television terminal to obtain the terminal watching behavior data of the family member corresponding to each equipment identification; matching the equipment identification with the equipment identification of the active television terminal prestored in the active terminal data pool, and screening out terminal watching behavior data of family members who often watch television; and determining the program watching data of the active users according to the terminal watching behavior data of the family members who watch the television frequently, the program playing information on the program list and a pre-established family member watching preference model. The technical scheme provided by the invention provides timely and accurate crowd coverage data for television program content parties, can perform optimal resource input, produces the maximum pushing effect and maximally saves the input cost.
Description
Technical Field
The invention relates to the technical field of intelligent televisions, in particular to a method and a platform for accurately positioning television program audiences.
Background
In order to evaluate the acceptance of the television program by the audience, the audience rating of the television program is counted after the television program is played in the prior art.
However, the audience rating is a post-affair statistic, which has hysteresis, and meanwhile, the audience rating is a rough statistic, and television program producers can only know how many proportion of people in a certain time period watch the television programs produced by the producers through the audience rating, and cannot accurately know the preference groups of the television programs to accurately release the program contents.
The target crowd is generally customized when the current television program is planned in content, then the general screening-free releasing and pushing are carried out, passive receiving of users is relied on, and the problem that whether the target crowd really wants to reach can receive the content or not has probability can not be realized, and the accurate positioning of the audience of the program content can not be realized.
Disclosure of Invention
In view of this, the present invention provides a method and a platform for accurately positioning a television program audience, so as to solve the problem that the current television program content scheduling and delivering cannot accurately position a target group, only can the attribute of the desired target group be customized, and the acquisition of the program accurate audience has time lag.
In order to achieve the purpose, the invention adopts the following technical scheme:
a method for accurately positioning a television program audience comprises the following steps:
acquiring family member data and terminal viewing behavior data;
the family member data and the terminal watching behavior data are correlated through the equipment identification of the television terminal to obtain the terminal watching behavior data of the family member corresponding to each equipment identification;
matching the equipment identification with the equipment identification of the active television terminal prestored in the active terminal data pool, and screening out terminal watching behavior data of family members who often watch television;
and determining the program watching data of the active users according to the terminal watching behavior data of the family members who watch the television frequently, the program playing information on the program list and a pre-established family member watching preference model.
Preferably, the method further comprises:
grouping the program watching data of the active users according to program types, and counting the identity distribution of the user groups focused on by various types of programs to obtain the corresponding relation between the program types and the preference groups;
and grouping the program watching data of the active users according to the programs, and counting the identity distribution of the user groups focused on by the programs to obtain the corresponding relation between the programs and the preference groups.
Preferably, the acquiring family member data and the terminal viewing behavior data include:
reading a corresponding relation table of the equipment identification of the television terminal and family member data prestored in a database, and receiving the equipment identification and terminal watching behavior data uploaded by the television terminal in real time;
the terminal viewing behavior data comprises: viewing channel, and viewing time.
Preferably, the correspondence table between the device identifier of the television terminal and the family member data pre-stored in the database is established by the following steps:
acquiring daily voice information of family members through a television terminal;
establishing a corresponding relation between the equipment identification of the television terminal and the voice information;
family member data is analyzed from the voice information and stored in a database;
the family member data includes at least: gender, age group, family identity, and content frequently viewed.
Preferably, the method further comprises:
acquiring playing information in a preset period of a television terminal, wherein the playing information comprises: accumulating the playing time;
determining a frequently active television terminal according to the playing information;
the device identifications of the frequently active television terminals are stored in an active terminal data pool.
Preferably, the determining program viewing data of the active users includes:
matching the terminal watching behavior data of the family members who watch the television frequently with the program playing information on the program list to obtain the program watching data of the active television terminal;
and determining the corresponding relation between the program watching data of the active television terminal and the family members according to a pre-established family member watching preference model, thereby obtaining the program watching data of the active user.
Preferably, the program playing information at least includes: broadcast channel, broadcast time, program name, program type.
Preferably, the program viewing data of the active television terminal at least comprises: viewing time, program title, program type; and/or the presence of a gas in the gas,
the program viewing data of the active users at least comprises: gender, age group, family identity, program name, program type.
In addition, the invention also provides a platform for accurately positioning television program audiences, which comprises:
the acquisition module is used for acquiring family member data and terminal watching behavior data;
the association module is used for associating the family member data and the terminal watching behavior data through the equipment identification of the television terminal to obtain the terminal watching behavior data of the family member corresponding to each equipment identification;
the matching module is used for matching the equipment identification with the equipment identification of the active television terminal prestored in the active terminal data pool and screening out terminal watching behavior data of family members who often watch television;
and the determining module is used for determining the program watching data of the active user according to the terminal watching behavior data of the family members who often watch the television, the program playing information on the program list and the family member data.
Preferably, the platform is a cloud service platform.
By adopting the technical scheme, the invention at least has the following beneficial effects:
the technical scheme provided by the invention provides timely and accurate crowd coverage data for television program content parties, can perform optimal resource input, produce the maximum pushing effect, maximally save the releasing cost, can predict audience crowds in advance aiming at certain types of television program content, thereby optimizing releasing schemes and contents, and can timely adjust the contents of the users according to the characteristics of key attention crowds aiming at continuously playing contents, the user experience degree is good, and the satisfaction degree is high.
Drawings
In order to more clearly illustrate the embodiments of the present invention 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 invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a method for accurately locating a television program audience according to an embodiment of the present invention;
fig. 2 is a schematic block diagram of a platform for accurately locating an audience of a tv program according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the technical solutions of the present invention will be described in detail below. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments, which can be derived by a person skilled in the art from the examples given herein without any inventive step, are within the scope of the present invention.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Referring to fig. 1, an embodiment of the present invention provides a method for accurately locating a television program audience, including:
step S11, acquiring family member data and terminal watching behavior data;
step S12, the family member data and the terminal watching behavior data are correlated through the equipment identification of the television terminal, and the terminal watching behavior data of the family member corresponding to each equipment identification are obtained;
step S13, matching the equipment identification with the equipment identification of the active television terminal prestored in the active terminal data pool, and screening out the terminal watching behavior data of family members who often watch television;
and step S14, determining the program watching data of the active user according to the terminal watching behavior data of the family members who watch the television frequently, the program playing information on the program list and the pre-established family member watching preference model.
It should be noted that the technical solution provided in this embodiment is applicable to a cloud service platform. The cloud service platform performs data interaction with the television terminal, and then accurate positioning of television program audiences is completed.
It should be particularly noted that the technical solution provided in this embodiment is suitable for accurate positioning of a live television program audience, that is, accurate positioning of television program audiences played by a radio and television main station through each television channel; the method is not suitable for the precise positioning of the replay audience of the live television program and is also not suitable for the precise positioning of the audience of the network television program.
It can be understood that, in the technical solution provided in this embodiment, the device identifiers of the tv terminals are used to correlate the family member data and the terminal watching behavior data to obtain the terminal watching behavior data of the family member corresponding to each device identifier, and then the terminal watching behavior data of the family members watching tv frequently is screened out, and the program watching data of the active users is determined according to the terminal watching behavior data of the family members watching tv frequently, the program playing information on the program list, and the family member data, and the technical solution provided in the present invention provides timely and accurate crowd coverage data for the tv program content side, can perform optimal resource investment, produce the maximum pushing effect, maximally save the releasing cost, and predict audience crowds in advance for a certain type of tv program content, thereby optimizing the releasing scheme and content, aiming at the continuously played content, the content of the user can be adjusted in time according to the characteristics of key attention people, and the user experience degree is good and the satisfaction degree is high.
Preferably, the acquiring family member data and the terminal viewing behavior data include:
reading a corresponding relation table of the equipment identification of the television terminal and family member data prestored in a database, and receiving the equipment identification and terminal watching behavior data uploaded by the television terminal in real time;
the terminal viewing behavior data comprises: viewing channel, and viewing time.
It can be understood that each television terminal is shipped with a device identifier, which is a unique identity code of the television terminal. When the family member watches the television program through the television terminal, the television terminal sends the television channel watched by the family member, the watching time and the equipment identification of the television terminal to the cloud service platform.
Preferably, the correspondence table between the device identifier of the television terminal and the family member data pre-stored in the database is established by the following steps:
acquiring daily voice information of family members through a television terminal;
establishing a corresponding relation between the equipment identification of the television terminal and the voice information;
family member data is analyzed from the voice information and stored in a database;
the family member data includes at least: gender, age group, family identity, and content frequently viewed.
It will be appreciated that the audio characteristics of each family member are different, and in particular practice, the daily voice information of the family members is collected for a predetermined period (e.g., one week, one month, one quarter, or one year); the collected voice information is stored in different voice files each time, in the specific analysis process, the audio features of the audio information in each voice file are extracted, the same audio feature is identified as the same family member, and the gender and age of the family member are analyzed according to the audio features.
Analyzing the voice content carried by the voice information in each voice file, and determining the program content frequently watched by the family members according to the voice content; and (3) performing grammatical feature analysis on the voice content, and determining the family identity (such as the grandpa, the grand, the father, the mom, the son, the daughter and the like) of the family member according to grammatical features.
Preferably, the method further comprises:
acquiring playing information in a preset period of a television terminal, wherein the playing information comprises: accumulating the playing time;
determining a frequently active television terminal according to the playing information;
the device identifications of the frequently active television terminals are stored in an active terminal data pool.
It should be noted that the preset period is a continuous week, a continuous month, a continuous quarter, or a continuous year, and is set according to the user's needs.
According to the playing information, the television terminal which is often active is determined, and the specific implementation mode can be as follows:
and setting a threshold, and determining the television terminal which is always active if the playing information, such as the accumulated playing time length, is greater than the threshold.
Preferably, the determining program viewing data of the active users includes:
matching the terminal watching behavior data of the family members who watch the television frequently with the program playing information on the program list to obtain the program watching data of the active television terminal;
and determining the corresponding relation between the program watching data of the active television terminal and the family members according to a pre-established family member watching preference model, thereby obtaining the program watching data of the active user.
Preferably, the program playing information at least includes: broadcast channel, broadcast time, program name, program type.
Preferably, the program viewing data of the active television terminal at least comprises: viewing time, program title, program type; and/or the presence of a gas in the gas,
the program viewing data of the active users at least comprises: gender, age group, family identity, program name, program type.
It should be noted that the family member viewing preference model is established according to family member data.
It can be understood that each family member, due to different gender, age and family identity, has different preferred tv programs, for example, grandpa often watches health-preserving programs, grandma often watches gourmet programs, dad often watches news and law programs, mom often watches heddle art programs, son often watches match programs, and daughter often watches idol operas. In addition, because each family member often watches television programs at different times, for example, grandpa usually watches television programs at 6:00-8:00 in the morning, grandma usually watches television programs at 3:00-4:00 in the afternoon, daughter and son usually watch television programs at 5:00-6:00 in the afternoon, and dad-mom usually watches television programs at 8:00-10:00 in the afternoon on saturday, high-activity, valuable and representative samples are selected based on a large amount of large-screen watching behavior data. And (4) carrying out statistical analysis on the watching heat of the part of people in long time span, different program types, different programs (non-single-term) and different time periods to obtain the key attention people of all types of programs and all programs (non-single-term).
It is understood that through the pre-established family member viewing preference model, the family identity of the family member (e.g., grandfather, mom, son, daughter, etc.) can be obtained when the program viewing time and program type are entered.
It is understood that the terminal viewing behavior data includes viewing channel, and viewing time, and the program playing information at least includes: the broadcasting channel, broadcasting time, program name and program type are matched, so that what program is watched at what time by the family member of the television terminal can be obtained by matching the watching time and the watching channel with the program broadcasting information on the program list, and the program belongs to what program type (for example, news, general crafts, cate, record, health preserving, law, match and even drama).
However, after the program list is matched, although it can be known when and what program is watched, and what program type the program belongs to, it cannot be known which family member watched. At this time, accurate positioning needs to be performed according to a pre-established family member viewing preference model.
Preferably, the method further comprises:
grouping the program watching data of the active users according to program types, and counting the identity distribution of the user groups focused on by various types of programs to obtain the corresponding relation between the program types and the preference groups;
and grouping the program watching data of the active users according to the programs, and counting the identity distribution of the user groups focused on by the programs to obtain the corresponding relation between the programs and the preference groups.
It can be understood that, the technical scheme that this embodiment provided, based on the focus attention crowd of a large amount of samples accurate positioning all kinds of contents, the content side can carry out more accurate timely arrangement and put in according to this target when content preparation and put in, maximize content appeal and put in the effect.
In addition, referring to fig. 2, the present invention further provides a platform 100 for accurately locating an audience of a tv program, including:
the acquisition module 101 is used for acquiring family member data and terminal viewing behavior data;
the association module 102 is configured to associate the family member data and the terminal viewing behavior data with each other through the device identifier of the television terminal to obtain the terminal viewing behavior data of the family member corresponding to each device identifier;
the matching module 103 is used for matching the equipment identifier with the equipment identifier of the active television terminal prestored in the active terminal data pool, and screening out terminal watching behavior data of family members who often watch television;
the determining module 104 is configured to determine program viewing data of an active user according to terminal viewing behavior data of a family member who often watches television, program playing information on a program list, and the family member data.
Preferably, the platform 100 is a cloud service platform.
It can be understood that, in the technical solution provided in this embodiment, the device identifiers of the tv terminals are used to correlate the family member data and the terminal watching behavior data to obtain the terminal watching behavior data of the family member corresponding to each device identifier, and then the terminal watching behavior data of the family members watching tv frequently is screened out, and the program watching data of the active users is determined according to the terminal watching behavior data of the family members watching tv frequently, the program playing information on the program list, and the family member data, and the technical solution provided in the present invention provides timely and accurate crowd coverage data for the tv program content side, can perform optimal resource investment, produce the maximum pushing effect, maximally save the releasing cost, and predict audience crowds in advance for a certain type of tv program content, thereby optimizing the releasing scheme and content, aiming at the continuously played content, the content of the user can be adjusted in time according to the characteristics of key attention people, and the user experience degree is good and the satisfaction degree is high.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive of the changes or substitutions within the technical scope of the present invention, and all the changes or substitutions should be covered within the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims. The terms "first" and "second" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. The term "plurality" means two or more unless expressly limited otherwise.
Claims (10)
1. A method for accurately locating a television program audience is characterized by comprising the following steps:
acquiring family member data and terminal viewing behavior data;
the family member data and the terminal watching behavior data are correlated through the equipment identification of the television terminal to obtain the terminal watching behavior data of the family member corresponding to each equipment identification;
matching the equipment identification with the equipment identification of the active television terminal prestored in the active terminal data pool, and screening out terminal watching behavior data of family members who often watch television;
and determining the program watching data of the active users according to the terminal watching behavior data of the family members who watch the television frequently, the program playing information on the program list and a pre-established family member watching preference model.
2. The method of claim 1, further comprising:
grouping the program watching data of the active users according to program types, and counting the identity distribution of the user groups focused on by various types of programs to obtain the corresponding relation between the program types and the preference groups;
and grouping the program watching data of the active users according to the programs, and counting the identity distribution of the user groups focused on by the programs to obtain the corresponding relation between the programs and the preference groups.
3. The method of claim 1, wherein the obtaining family member data and terminal viewing behavior data comprises:
reading a corresponding relation table of the equipment identification of the television terminal and the family member data prestored in the database, and,
receiving equipment identification and terminal watching behavior data uploaded by a television terminal in real time;
the terminal viewing behavior data comprises: viewing channel, and viewing time.
4. The method according to claim 3, wherein the correspondence table of the device identifier of the television terminal and the family member data pre-stored in the database is established by the following steps:
acquiring daily voice information of family members through a television terminal;
establishing a corresponding relation between the equipment identification of the television terminal and the voice information;
family member data is analyzed from the voice information and stored in a database;
the family member data includes at least: gender, age group, family identity, and content frequently viewed.
5. The method of claim 1, further comprising:
acquiring playing information in a preset period of a television terminal, wherein the playing information comprises: accumulating the playing time;
determining a frequently active television terminal according to the playing information;
the device identifications of the frequently active television terminals are stored in an active terminal data pool.
6. The method of claim 4, wherein determining program viewing data for active users comprises:
matching the terminal watching behavior data of the family members who watch the television frequently with the program playing information on the program list to obtain the program watching data of the active television terminal;
and determining the corresponding relation between the program watching data of the active television terminal and the family members according to a pre-established family member watching preference model, thereby obtaining the program watching data of the active user.
7. The method of claim 6,
the program playing information at least comprises: broadcast channel, broadcast time, program name, program type.
8. The method of claim 6,
the program viewing data of the active television terminal at least comprises: viewing time, program title, program type; and/or the presence of a gas in the gas,
the program viewing data of the active users at least comprises: gender, age group, family identity, program name, program type.
9. A platform for accurately locating a television program audience, comprising:
the acquisition module is used for acquiring family member data and terminal watching behavior data;
the association module is used for associating the family member data and the terminal watching behavior data through the equipment identification of the television terminal to obtain the terminal watching behavior data of the family member corresponding to each equipment identification;
the matching module is used for matching the equipment identification with the equipment identification of the active television terminal prestored in the active terminal data pool and screening out terminal watching behavior data of family members who often watch television;
and the determining module is used for determining the program watching data of the active user according to the terminal watching behavior data of the family members who often watch the television, the program playing information on the program list and the family member data.
10. The platform of claim 9,
the platform is a cloud service platform.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010434185.2A CN111601167A (en) | 2020-05-21 | 2020-05-21 | Method and platform for accurately positioning television program audience |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010434185.2A CN111601167A (en) | 2020-05-21 | 2020-05-21 | Method and platform for accurately positioning television program audience |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN111601167A true CN111601167A (en) | 2020-08-28 |
Family
ID=72183961
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010434185.2A Pending CN111601167A (en) | 2020-05-21 | 2020-05-21 | Method and platform for accurately positioning television program audience |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN111601167A (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114268838A (en) * | 2021-12-15 | 2022-04-01 | 深圳市酷开网络科技股份有限公司 | Method and device for processing family member portrait based on OTT user portrait |
| 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 |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103533393A (en) * | 2013-09-17 | 2014-01-22 | 上海交通大学 | Family analyzing and program recommending method based on family watching records |
| CN103763585A (en) * | 2014-01-10 | 2014-04-30 | 北京酷云互动科技有限公司 | User characteristic information obtaining method and device and terminal device |
| CN107360465A (en) * | 2017-08-22 | 2017-11-17 | 四川长虹电器股份有限公司 | A kind of method that Intelligent television terminal is drawn a portrait using vocal print generation user |
| US20180047038A1 (en) * | 2016-08-10 | 2018-02-15 | International Business Machines Corporation | Leveraging hashtags to dynamically scope a target audience for a social network message |
| CN108075892A (en) * | 2016-11-09 | 2018-05-25 | 阿里巴巴集团控股有限公司 | The method, apparatus and equipment of a kind of speech processes |
| US20190014365A1 (en) * | 2012-07-18 | 2019-01-10 | Google Llc | Logging individuals for tv measurement compliance |
-
2020
- 2020-05-21 CN CN202010434185.2A patent/CN111601167A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20190014365A1 (en) * | 2012-07-18 | 2019-01-10 | Google Llc | Logging individuals for tv measurement compliance |
| CN103533393A (en) * | 2013-09-17 | 2014-01-22 | 上海交通大学 | Family analyzing and program recommending method based on family watching records |
| CN103763585A (en) * | 2014-01-10 | 2014-04-30 | 北京酷云互动科技有限公司 | User characteristic information obtaining method and device and terminal device |
| US20180047038A1 (en) * | 2016-08-10 | 2018-02-15 | International Business Machines Corporation | Leveraging hashtags to dynamically scope a target audience for a social network message |
| CN108075892A (en) * | 2016-11-09 | 2018-05-25 | 阿里巴巴集团控股有限公司 | The method, apparatus and equipment of a kind of speech processes |
| CN107360465A (en) * | 2017-08-22 | 2017-11-17 | 四川长虹电器股份有限公司 | A kind of method that Intelligent television terminal is drawn a portrait using vocal print generation user |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114268838A (en) * | 2021-12-15 | 2022-04-01 | 深圳市酷开网络科技股份有限公司 | Method and device for processing family member portrait based on OTT user portrait |
| CN114268838B (en) * | 2021-12-15 | 2023-12-26 | 深圳市酷开网络科技股份有限公司 | Family member portrait processing method and device based on OTT user portrait |
| 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 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11317165B2 (en) | Streaming video | |
| US10567849B2 (en) | Systems, methods, and apparatus to identify linear and nonlinear media presentations | |
| US10327020B2 (en) | Logging individuals for TV measurement compliance | |
| US9774900B2 (en) | Methods and apparatus to calculate video-on-demand and dynamically inserted advertisement viewing probability | |
| US8418205B2 (en) | Method and apparatus for recommending personalized content | |
| US20230379537A1 (en) | Methods and apparatus to determine synthetic respondent level data using constrained markov chains | |
| US6477704B1 (en) | Method of gathering and utilizing demographic information from request-based media delivery system | |
| CN102263999B (en) | Face-recognition-based method and system for automatically classifying television programs | |
| US10587921B2 (en) | Viewer rating calculation server, method for calculating viewer rating, and viewer rating calculation remote apparatus | |
| US20050071863A1 (en) | System and method for storing and distributing television viewing patterns form a clearinghouse | |
| CN104935968A (en) | Method and system for recommending program by interactive personality TV (IPTV) | |
| CN106028069B (en) | Live broadcast barrage display method and system based on smart television | |
| US20070118396A1 (en) | System and method for identifying desirable subscribers | |
| US20070294729A1 (en) | Methods and apparatus to meter content exposure using closed caption information | |
| US8645987B2 (en) | Advertisement airing audit system and associated methods | |
| JPH11355229A (en) | Structurable monitoring for program viewer number and interactive application use | |
| WO2020007470A1 (en) | Dynamic viewer prediction system for advertisement scheduling | |
| US10547905B2 (en) | Systems, methods, and devices for monitoring content viewership using short-range wireless communication | |
| CN104584571A (en) | Generating a sequence of audio fingerprints at a set top box | |
| CN111601167A (en) | Method and platform for accurately positioning television program audience | |
| CN103636147A (en) | System and method for scalable high-accuracy sensor and ID-based audience measurement system | |
| CN108540857B (en) | Television audience rating and user preference control method and system based on mobile phone remote controller | |
| US20120276515A1 (en) | User answer collection server, user answer collection system, broadcast reception apparatus and control method | |
| CN106375796B (en) | Audience rating statistical method and system | |
| CN111601168B (en) | Television program market performance analysis method and system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20200828 |