CN111988637A - Program recommendation method and device based on user lost moment in live television - Google Patents
Program recommendation method and device based on user lost moment in live television Download PDFInfo
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- CN111988637A CN111988637A CN202010847891.XA CN202010847891A CN111988637A CN 111988637 A CN111988637 A CN 111988637A CN 202010847891 A CN202010847891 A CN 202010847891A CN 111988637 A CN111988637 A CN 111988637A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/21—Server components or server architectures
- H04N21/218—Source of audio or video content, e.g. local disk arrays
- H04N21/2187—Live feed
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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
- H04N21/431—Generation of visual interfaces for content selection or interaction; Content or additional data rendering
- H04N21/4312—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations
- H04N21/4316—Generation of visual interfaces for content selection or interaction; Content or additional data rendering involving specific graphical features, e.g. screen layout, special fonts or colors, blinking icons, highlights or animations for displaying supplemental content in a region of the screen, e.g. an advertisement in a separate window
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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
-
- 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
- H04N21/4508—Management of client data or end-user data
- H04N21/4532—Management of client data or end-user data involving end-user characteristics, e.g. viewer profile, preferences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—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
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Multimedia (AREA)
- Signal Processing (AREA)
- Business, Economics & Management (AREA)
- Marketing (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Social Psychology (AREA)
- Computer Networks & Wireless Communication (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The application relates to a program recommendation method and device based on a user lost moment in live television, belonging to the technical field of smart televisions, and the program recommendation method comprises the steps of starting a system monitoring service according to detected trigger information; based on the behavior judgment strategy of the system monitoring service, user behavior judgment is carried out; when the user is judged to be at the lost moment, recommending programs to the user in a screen popup mode, quitting the system monitoring service to continue detecting the trigger information, or directly quitting the system monitoring service to continue detecting the trigger information; the trigger information comprises information triggered by starting up to enter a live scene and information triggered by switching channels by a user. The method and the device help to solve the problems of single form and insufficient flexibility of the traditional live broadcast service.
Description
Technical Field
The application belongs to the technical field of smart televisions, and particularly relates to a program recommendation method and device based on a user lost moment in live television.
Background
At present, intelligent televisions and intelligent set top boxes are popularized, and live channels in television services have wide audiences. In the existing intelligent television service, live channel related products are mainly integrated and presented with channel program information, for example, EPG products are used for information delivery and program presentation by strategies such as presenting program information according to categories. Based on these channels and program presentation forms, existing users adopt actively acquired viewing modes such as changing channels one by one to search for live programs, or calling out live channels to search for programs.
The live channel service mode is single, and the system flexibility is insufficient.
Disclosure of Invention
In order to overcome the problems in the related technologies at least to a certain extent, the application provides a program recommendation method and device based on the user's lost moment in live television, and the live broadcast channel program push is carried out by detecting and judging the user behavior, which is beneficial to solving the problems of single form and insufficient flexibility of the traditional live broadcast service.
In order to achieve the purpose, the following technical scheme is adopted in the application:
in a first aspect,
the application provides a program recommendation method based on a user lost moment in live television, which comprises the following steps:
starting system monitoring service according to the detected trigger information;
based on the behavior judgment strategy of the system monitoring service, user behavior judgment is carried out;
when the user is judged to be in the lost moment, recommending the program to the user in a screen popup mode, quitting the system monitoring service, and continuing to detect the trigger information, otherwise, continuing to detect the trigger information
Directly quitting the system monitoring service and continuing to detect the trigger information;
the trigger information comprises information triggered by starting up to enter a live scene and information triggered by switching channels by a user.
Optionally, the system monitoring service comprises a screen monitoring service; the behavior judgment strategy of the screen monitoring service specifically comprises the following steps:
and analyzing the content of the screenshot pictures uploaded periodically, and judging that the user is in a lost moment when the screenshot pictures with the continuously preset number are all different channel contents.
Optionally, the period is 40 to 80 seconds, and the preset number is 3 to 5.
Optionally, the period is 60 seconds, and the preset number is 4.
Optionally, the system monitoring service comprises a remote control monitoring service; the behavior judgment strategy of the remote controller monitoring service specifically comprises the following steps:
and monitoring the times of clicking the channel change key by the user within the preset duration, and judging that the user is at the lost moment when the times exceed a preset threshold value.
Optionally, the preset time period is 20 to 40 seconds, and the preset threshold is 3 to 6 times.
Optionally, the preset time period is 30 seconds, and the preset threshold is 5 times.
Optionally, the recommending a program to a user in a pop-up screen form includes:
and recommending the popular programs which are broadcast in the current time period to the user.
Optionally, the recommending a program to a user in a pop-up screen form includes:
and recommending the programs which are broadcast in the current time period and accord with the watching interests of the user to the user.
In a second aspect of the present invention,
the application provides a program recommendation method and device based on a user lost moment in live television, and the device comprises the following steps:
a memory having an executable program stored thereon;
a processor for executing the executable program in the memory to implement the steps of the method of any one of claims 1-9.
This application adopts above technical scheme, possesses following beneficial effect at least:
live channel program pushing is carried out by detecting and judging user behaviors, and the problems of single form and insufficient flexibility of the traditional live service are solved.
Additional advantages, objects, and features of the invention will be set forth in part in the description which follows and in part will become apparent to those having ordinary skill in the art upon examination of the following or may be learned from practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings are included to provide a further understanding of the technology or prior art of the present application and are incorporated in and constitute a part of this specification. The drawings expressing the embodiments of the present application are used for explaining the technical solutions of the present application, and should not be construed as limiting the technical solutions of the present application.
Fig. 1 is a schematic flowchart of a program recommendation method based on a user's lost moment in live television according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a program recommendation device based on a moment that a user is lost in the vast area in live television according to an embodiment of the present application.
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.
Aiming at the defect that the live channel service form of the smart television is single in the prior art, the application provides a program recommendation method based on the user lost moment in live television, and live channel program push is carried out by detecting and judging the user behavior.
As shown in fig. 1, in an embodiment, the application provides a program recommendation method based on a lost moment of a user in live television, the program recommendation method is applied to a live television scene, a process for detecting trigger information runs in an intelligent television system, and when the trigger information is detected, the following steps are performed:
step S110, starting a system monitoring service according to the detected trigger information;
step S120, based on the behavior judgment strategy of the system monitoring service, the user behavior judgment is carried out;
step S130, when the user is judged to be at the lost moment, recommending the program to the user in a screen flipping mode,
and quitting the system monitoring service to continue the detection of the trigger information (for example, recommending programs to the user in a screen-flipping mode, including recommending popular programs which are being played in the current time period to the user or recommending programs which are being played in the current time period and accord with the watching interest of the user to the user), or else, stopping the detection of the trigger information (for example, recommending programs to the user in a screen-flipping mode, including recommending programs which are being played in
Directly quitting the system monitoring service to continue the detection of the trigger information;
it should be noted that, in the foregoing process, the trigger information includes information triggered by entering a live scene when the terminal is turned on, and information triggered by switching channels by the user. In other words, in practical application, after the smart television is turned on, the system monitoring service is started; and after exiting the system monitoring service, if the user has the operation of switching the channel, starting the system monitoring service.
According to the technical scheme, live channel program pushing is carried out by detecting and judging user behaviors, and the problems that the traditional live service mode is single, and the flexibility, the intelligence and the usability are not enough are solved.
For the purpose of facilitating understanding of the technical solutions in the present application, the technical solutions in the present application will be described below with reference to another embodiment.
On the basis of the above embodiment, in this embodiment, the system monitoring service includes a screen monitoring service, and after the screen monitoring service is triggered, the screen is periodically captured; the behavior judgment strategy of the screen monitoring service specifically comprises the following steps:
and analyzing the content of the screenshot pictures uploaded periodically, and judging that the user is in a lost moment when the screenshot pictures with the continuously preset number are all different channel contents. For example, the period is generally 40 to 80 seconds, and the predetermined number is 3 to 5.
Specifically, in this embodiment, the period is 60 seconds, and the preset number is 4. If the content of different channels is displayed on the screen capture pictures within 4-60 seconds, judging that the user is currently at the lost moment, and recommending the program to the user in a screen pop-up mode; otherwise, the user is in a state of staying at a certain channel for a long time, the screen monitoring is stopped, and the user is waited to switch the channel so as to trigger the screen monitoring service again.
In the embodiment, the system monitoring service also comprises a remote controller monitoring service, and after the remote controller monitoring service is triggered, the channel changing operation of the user is recorded; the behavior judgment strategy of the remote controller monitoring service comprises the following steps:
and monitoring the times of clicking the channel change key by the user within the preset duration, and judging that the user is in the lost moment when the times exceed a preset threshold value. For example, the predetermined time period is generally 20 to 40 seconds, and the predetermined threshold is 3 to 6 times.
Specifically, in this embodiment, the preset time period is 30 seconds, and the preset threshold is 5 times. If the situation that the user uses the remote controller to switch the station for more than 5 times within 30 seconds is monitored, judging that the user is at the lost moment currently, and recommending the program to the user in a screen-flicking mode; otherwise, if the channel switching time of the user by using the remote controller does not exceed 5 times within 30 seconds, stopping the monitoring of the remote controller, and waiting for the user to switch the channel so as to trigger the screen monitoring service again.
It should be noted that, in this embodiment, the screen monitoring and the remote controller monitoring are independent system services and are used for user behavior monitoring.
Fig. 2 is a schematic structural diagram of a program recommendation apparatus based on a moment when a user is lost in a live tv broadcast according to an embodiment of the present application, and as shown in fig. 2, the recommendation apparatus 200 includes:
a memory 201 on which an executable program is stored;
a processor 202 for executing the executable program in the memory 201 to implement the steps of the above method.
With respect to the recommendation device 200 in the above embodiment, the specific manner of executing the program in the memory 201 by the processor 202 thereof has been described in detail in the embodiment related to the method, and will not be elaborated herein.
The above description is only a preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. A program recommendation method based on a user lost moment in live television is characterized by comprising the following steps:
starting system monitoring service according to the detected trigger information;
based on the behavior judgment strategy of the system monitoring service, user behavior judgment is carried out;
when the user is judged to be in the lost moment, recommending the program to the user in a screen popup mode, quitting the system monitoring service, and continuing to detect the trigger information, otherwise, continuing to detect the trigger information
Directly quitting the system monitoring service to continue the detection of the trigger information;
the trigger information comprises information triggered by starting up to enter a live scene and information triggered by switching channels by a user.
2. The program recommendation method of claim 1, wherein said system monitoring service comprises an on-screen monitoring service; the behavior judgment strategy of the screen monitoring service specifically comprises the following steps:
and analyzing the content of the screenshot pictures uploaded periodically, and judging that the user is in a lost moment when the screenshot pictures with the continuously preset number are all different channel contents.
3. The program recommendation method according to claim 2, wherein said period is 40 to 80 seconds, and said predetermined number is 3 to 5.
4. The program recommendation method of claim 3, wherein said period is 60 seconds, and said predetermined number is 4.
5. The program recommendation method of claim 1, wherein said system monitoring service comprises a remote control monitoring service; the behavior judgment strategy of the remote controller monitoring service specifically comprises the following steps:
and monitoring the times of clicking the channel change key by the user within the preset duration, and judging that the user is at the lost moment when the times exceed a preset threshold value.
6. The program recommendation method according to claim 5, wherein the preset time period is 20 to 40 seconds, and the preset threshold is 3 to 6 times.
7. The program recommendation method according to claim 6, wherein said preset time period is 30 seconds, and said preset threshold is 5 times.
8. The program recommendation method of claim 1, wherein said making program recommendations to the user in a pop-up form comprises:
and recommending the popular programs which are broadcast in the current time period to the user.
9. The program recommendation method of claim 1, wherein said making program recommendations to the user in a pop-up form comprises:
and recommending the programs which are broadcast in the current time period and accord with the watching interests of the user to the user.
10. A program recommendation method and device based on a user lost moment in live television is characterized by comprising the following steps:
a memory having an executable program stored thereon;
a processor for executing the executable program in the memory to implement the steps of the method of any one of claims 1-9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010847891.XA CN111988637A (en) | 2020-08-21 | 2020-08-21 | Program recommendation method and device based on user lost moment in live television |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010847891.XA CN111988637A (en) | 2020-08-21 | 2020-08-21 | Program recommendation method and device based on user lost moment in live television |
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| CN111988637A true CN111988637A (en) | 2020-11-24 |
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| CN202010847891.XA Pending CN111988637A (en) | 2020-08-21 | 2020-08-21 | Program recommendation method and device based on user lost moment in live television |
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Citations (5)
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| CN108132805A (en) * | 2017-12-20 | 2018-06-08 | 深圳Tcl新技术有限公司 | Voice interactive method, device and computer readable storage medium |
| CN108512879A (en) * | 2017-02-28 | 2018-09-07 | 阿里巴巴集团控股有限公司 | A kind of information-pushing method and device |
| CN110033293A (en) * | 2018-01-12 | 2019-07-19 | 阿里巴巴集团控股有限公司 | Obtain the method, apparatus and system of user information |
| CN111200639A (en) * | 2019-12-20 | 2020-05-26 | 上海淇玥信息技术有限公司 | Information pushing method and device based on user operation behavior and electronic equipment |
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2020
- 2020-08-21 CN CN202010847891.XA patent/CN111988637A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20090164557A1 (en) * | 2007-12-21 | 2009-06-25 | Yahoo! Inc. | User vacillation detection and response |
| CN108512879A (en) * | 2017-02-28 | 2018-09-07 | 阿里巴巴集团控股有限公司 | A kind of information-pushing method and device |
| CN108132805A (en) * | 2017-12-20 | 2018-06-08 | 深圳Tcl新技术有限公司 | Voice interactive method, device and computer readable storage medium |
| CN110033293A (en) * | 2018-01-12 | 2019-07-19 | 阿里巴巴集团控股有限公司 | Obtain the method, apparatus and system of user information |
| CN111200639A (en) * | 2019-12-20 | 2020-05-26 | 上海淇玥信息技术有限公司 | Information pushing method and device based on user operation behavior and electronic equipment |
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Application publication date: 20201124 |