CN112203144A - Intelligent television program recommendation method and device and intelligent television - Google Patents
Intelligent television program recommendation method and device and intelligent television Download PDFInfo
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- CN112203144A CN112203144A CN202011084427.6A CN202011084427A CN112203144A CN 112203144 A CN112203144 A CN 112203144A CN 202011084427 A CN202011084427 A CN 202011084427A CN 112203144 A CN112203144 A CN 112203144A
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 230000003993 interaction Effects 0.000 abstract description 10
- 230000006870 function Effects 0.000 description 4
- 230000006399 behavior Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000012790 confirmation Methods 0.000 description 1
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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
- H04N21/441—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card
- H04N21/4415—Acquiring end-user identification, e.g. using personal code sent by the remote control or by inserting a card using biometric characteristics of the user, e.g. by voice recognition or fingerprint scanning
-
- 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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- General Health & Medical Sciences (AREA)
- Human Computer Interaction (AREA)
- Theoretical Computer Science (AREA)
- Two-Way Televisions, Distribution Of Moving Picture Or The Like (AREA)
Abstract
The application relates to an intelligent television program recommendation method and device and an intelligent television, wherein the intelligent television program recommendation method comprises the steps of recommending a television program to a user when the television is started; receiving feedback information of a user; and playing the television program according to the feedback information, or recommending other television programs to the user again. According to the method and the device, the recommended television programs can be continuously corrected through interaction, and user experience is improved.
Description
Technical Field
The application belongs to the technical field of smart televisions, and particularly relates to a television program intelligent recommendation method and device and a smart television.
Background
The smart television is a new product formed based on internet wave impact, aims to bring more convenient experience to users, and has become the trend of televisions at present. Because the smart television is provided with a fully-open platform and is loaded with a plurality of operating systems, a user can install and uninstall various application software by himself and continuously expand and upgrade functions while enjoying the content of the traditional television; the smart television can continuously bring rich personalized experience to users. Although, in the related art, the smart television may recommend the relevant television programs to the user according to the historical watching records of the user when the user is powered on, the current intelligent recommendation method has no interactivity, that is, the user is already calculated when the user is powered on or starts an application according to the historical data of the user, and there is no chance of interaction or further replacement after the calculation is completed to present the recommendation result, which affects the user experience.
Disclosure of Invention
In order to overcome the problem that in the related technology, at least to a certain extent, a smart television can recommend related television programs to a user according to the historical watching records of the user when the user is started, but the current intelligent recommendation mode has no interactivity, namely the intelligent recommendation mode is already calculated according to the historical data of the user when the user is started or when an application is started, and no interaction or further replacement chance exists after the recommendation result is presented after calculation is completed, so that the user experience is influenced, the intelligent television and the method and the device for recommending the television programs are provided.
In a first aspect, the present application provides an intelligent television program recommendation method, including:
recommending a television program to a user when a television is started;
receiving feedback information of a user;
and playing the television program according to the feedback information, or recommending other television programs to the user again.
Further, the recommending the television program to the user when the television is turned on includes:
and recommending the television program to the user in a voice and/or picture mode.
Further, recommending the television program to the user when the television is turned on further includes:
acquiring historical data and current data;
and recommending the television programs to the user according to the historical data and the current data.
Further, the historical data includes: at least one of user behavior data, user portrait data and user voice data.
Further, the current data includes: at least one of time, place, portrait, and voice.
Further, the method also comprises the following steps:
judging a feedback type, wherein the feedback type comprises determination and cancellation;
if the feedback type is determined, playing the television program;
and if the feedback type is cancel, recommending other television programs to the user again.
Further, the recommending other television programs to the user again includes:
receiving user requirements, and determining a television program to be watched by a user according to the user requirements;
and recommending the television program to the user.
Further, the user requirements include: a user requirement input by voice, or a user requirement input through a remote control device.
In a second aspect, the present application provides an intelligent recommendation apparatus for television programs, including:
the first recommending module is used for recommending the television program to the user when the television is started;
the receiving module is used for receiving feedback information of a user;
the playing module is used for playing the television program according to the feedback information;
and the second recommending module is used for recommending other television programs to the user again according to the feedback information.
In a third aspect, the present application provides a smart tv, including: the intelligent television program recommending device of the second aspect.
The technical scheme provided by the embodiment of the application can have the following beneficial effects:
according to the method and the device for intelligently recommending the television programs and the intelligent television, which are provided by the embodiment of the invention, the television programs are recommended to the user when the television is started, the feedback information of the user is received, the television programs are played according to the feedback information, or other television programs are recommended to the user again, and the recommended television programs are continuously corrected through interaction, so that the user experience is improved.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application.
Fig. 1 is a flowchart of an intelligent television program recommendation method according to an embodiment of the present application.
Fig. 2 is a flowchart of a method for intelligently recommending television programs according to another embodiment of the present application.
Fig. 3 is a functional block diagram of an intelligent television program recommendation apparatus 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.
Fig. 1 is a flowchart of an intelligent television program recommendation method according to an embodiment of the present application, and as shown in fig. 1, the intelligent television program recommendation method includes:
s11: recommending a television program to a user when a television is started;
s12: receiving feedback information of a user;
s13: and playing the television program according to the feedback information, or recommending other television programs to the user again.
The traditional smart television can recommend related television programs to a user according to the historical watching records of the user when the user is started, but the intelligent recommendation mode has no interactivity, namely the calculation is finished when the user is started or the application is started according to the historical data of the user, and no interaction or further replacement chance exists after the recommendation result is presented after the calculation is finished, so that the user experience is influenced.
In the embodiment, the television program is recommended to the user when the television is started, the feedback information of the user is received, the television program is played according to the feedback information, or other television programs are recommended to the user again, and the recommended television program is continuously corrected through interaction, so that the user experience is improved.
Fig. 2 is a flowchart of an intelligent television program recommendation method according to an embodiment of the present application, and as shown in fig. 2, the intelligent television program recommendation method applied to a mobile terminal includes:
s21: acquiring historical data and current data;
s22: recommending television programs to users in a voice and/or picture mode according to historical data and current data;
the television program is recommended to the user in a voice and/or picture mode, interaction with the user is facilitated, the user can know the recommended content more by the voice recommending mode, the user can obtain the recommending information in time when the user does not watch a television screen, and the user can preview the recommended content in advance by the picture recommending mode.
Some embodiments of historical data include, but are not limited to: user behavior data, user portrait data, user voice data, and the like.
Current data includes, but is not limited to: time, place, portrait, voice, etc.
The recommendation result is obtained by combining, analyzing and calculating the historical data and the current data, so that the recommended content can be more accurate, the specific content is recommended for a specific person and specific time, and the user experience is further improved.
S23: judging a feedback type, wherein the feedback type comprises confirmation and cancellation;
s24: if the feedback type is determined, the television program is played;
s25: and if the feedback type is cancel, recommending other television programs to the user again.
In some embodiments, recommending other television programs to the user again specifically includes:
s251: receiving user requirements, and determining a television program to be watched by a user according to the user requirements;
user requirements, including: a user requirement input by voice, or a user requirement input through a remote control device.
S252: the television program is recommended to the user.
The input requirements of the user in various modes are received to meet the use requirements of different users, and the voice input of the user is received, and then the related television programs are recommended in a voice mode, so that the interaction speed between the smart television and the user can be increased, and the television programs to be watched by the user can be recommended for the user as soon as possible.
In some embodiments, the virtual character is set in the smart television, and the virtual character is used to guide the user and recommend a television program to the user, such as:
when the user starts up, the virtual character outputs through voice: welcome the host to come back, what you want to see now is a news channel you saw yesterday, or is you recommended a documentary you love to see? If the user says the news channel, the virtual character judges that the user feedback type is determined, then the content fed back by the user is further determined to be the virtual channel according to the user feedback information, and the smart television starts to play a news channel video. If the user does not need, the virtual character continues to output voice asking what program you want to play at the moment, and then the user needs are received, for example, the user says: i want to watch comedy movies today, at the moment, the smart television calculates a recommendation result according to the historical preference of the user and the requirement, and displays the recommendation result through a screen and outputs voice again until the received feedback type is determined, and the smart television starts to play the content that the user wants to watch.
In some embodiments, the virtual character may be graphically displayed on a television screen, or a personalized virtual character interface or animation may be set according to a user selection, so as to meet a personalized requirement of the user.
In the embodiment, the historical data and the current data are combined, analyzed and calculated to obtain the recommendation result, so that the recommendation content is more accurate, the specific content is recommended for a specific person and at a specific time, and the user experience is further improved.
An embodiment of the present invention provides an intelligent television program recommendation device, which is shown in a functional structure diagram in fig. 3, and includes:
the first recommending module 31 is used for recommending a television program to a user when the television is started;
a receiving module 32, configured to receive feedback information of a user;
the playing module 33 is used for playing the television program according to the feedback information;
and the second recommending module 34 is used for recommending other television programs to the user again according to the feedback information.
In some embodiments, further comprising:
and an obtaining module 35, configured to obtain the historical data and the current data. The historical data comprises: at least one of user behavior data, user portrait data and user voice data. The current data includes: at least one of time, place, portrait, and voice.
In some embodiments, further comprising:
and a judging module 36, configured to judge a feedback type, where the feedback type includes determining and canceling.
In some embodiments, the method further comprises a setting module for setting a virtual character, wherein the virtual character is used for voice interaction with the user.
In the embodiment, the first recommending module recommends the television program to the user when the television is started, the receiving module receives feedback information of the user, the playing module plays the television program according to the feedback information, the second recommending module recommends other television programs to the user again according to the feedback information, and interaction with the user is realized through the receiving module, so that the recommended television program is continuously corrected, and user experience is improved.
The embodiment of the invention provides an intelligent television, which comprises: the intelligent television program recommending device in the embodiment is described above.
It is understood that the same or similar parts in the above embodiments may be mutually referred to, and the same or similar parts in other embodiments may be referred to for the content which is not described in detail in some embodiments.
It should be noted that, in the description of the present application, the terms "first", "second", etc. are used for descriptive purposes only and are not to be construed as indicating or implying relative importance. Further, in the description of the present application, the meaning of "a plurality" means at least two unless otherwise specified.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and the scope of the preferred embodiments of the present application includes other implementations in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the present application.
It should be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above embodiments, the various steps or methods may be implemented in software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, any one or combination of the following techniques, which are known in the art, may be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application specific integrated circuit having an appropriate combinational logic gate circuit, a Programmable Gate Array (PGA), a Field Programmable Gate Array (FPGA), or the like.
It will be understood by those skilled in the art that all or part of the steps carried by the method for implementing the above embodiments may be implemented by hardware related to instructions of a program, which may be stored in a computer readable storage medium, and when the program is executed, the program includes one or a combination of the steps of the method embodiments.
In addition, functional units in the embodiments of the present application may be integrated into one processing module, or each unit may exist alone physically, or two or more units are integrated into one module. The integrated module can be realized in a hardware mode, and can also be realized in a software functional component mode. The integrated module, if implemented in the form of a software functional component and sold or used as a stand-alone product, may also be stored in a computer readable storage medium.
The storage medium mentioned above may be a read-only memory, a magnetic or optical disk, etc.
In the description herein, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
Although embodiments of the present application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present application, and that variations, modifications, substitutions and alterations may be made to the above embodiments by those of ordinary skill in the art within the scope of the present application.
It should be noted that the present invention is not limited to the above-mentioned preferred embodiments, and those skilled in the art can obtain other products in various forms without departing from the spirit of the present invention, but any changes in shape or structure can be made within the scope of the present invention with the same or similar technical solutions as those of the present invention.
Claims (10)
1. An intelligent recommendation method for television programs is characterized by comprising the following steps:
recommending a television program to a user when a television is started;
receiving feedback information of a user;
and playing the television program according to the feedback information, or recommending other television programs to the user again.
2. The intelligent television program recommendation method according to claim 1, wherein recommending a television program to a user when a television is turned on comprises:
and recommending the television program to the user in a voice and/or picture mode.
3. The intelligent television program recommendation method according to claim 1, wherein recommending a television program to the user when the television is turned on further comprises:
acquiring historical data and current data;
and recommending the television programs to the user according to the historical data and the current data.
4. The intelligent television program recommendation method according to claim 3, wherein the historical data comprises: at least one of user behavior data, user portrait data and user voice data.
5. The intelligent television program recommendation method according to claim 3, wherein the current data comprises: at least one of time, place, portrait, and voice.
6. The intelligent television program recommendation method according to claim 1, further comprising:
judging a feedback type, wherein the feedback type comprises determination and cancellation;
if the feedback type is determined, playing the television program;
and if the feedback type is cancel, recommending other television programs to the user again.
7. The intelligent television program recommendation method according to claim 1, wherein said re-recommending other television programs to the user comprises:
receiving user requirements, and determining a television program to be watched by a user according to the user requirements;
and recommending the television program to the user.
8. The intelligent television program recommendation method according to claim 7, wherein the user requirements include: a user requirement input by voice, or a user requirement input through a remote control device.
9. An intelligent recommendation device for television programs, comprising:
the first recommending module is used for recommending the television program to the user when the television is started;
the receiving module is used for receiving feedback information of a user;
the playing module is used for playing the television program according to the feedback information;
and the second recommending module is used for recommending other television programs to the user again according to the feedback information.
10. An intelligent television, comprising: the intelligent television program recommender as in claim 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
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| CN202011084427.6A CN112203144A (en) | 2020-10-12 | 2020-10-12 | Intelligent television program recommendation method and device and intelligent television |
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| CN202011084427.6A CN112203144A (en) | 2020-10-12 | 2020-10-12 | Intelligent television program recommendation method and device and intelligent television |
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Cited By (1)
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Application publication date: 20210108 |