CN103024471A - Rapid recommendation method for intelligent cloud television - Google Patents
Rapid recommendation method for intelligent cloud television Download PDFInfo
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- CN103024471A CN103024471A CN2012105217881A CN201210521788A CN103024471A CN 103024471 A CN103024471 A CN 103024471A CN 2012105217881 A CN2012105217881 A CN 2012105217881A CN 201210521788 A CN201210521788 A CN 201210521788A CN 103024471 A CN103024471 A CN 103024471A
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Abstract
The invention discloses a rapid recommendation method for an intelligent cloud television. The rapid recommendation method comprises the steps of enabling the intelligent cloud television to dynamically obtain user information, enabling the user information to undergo application matching with matching information of an application store server after analyzing attributes of the user information, and enabling the application store server to send to matching results to the intelligent cloud television for user selection application. A mode of dynamically obtaining the user information is adopted, family scene surrounding character results are analyzed through a data source or a data model of the server with the family serving as the scene so as to perform attributive interaction with an application store, application information is presented to users for selection by the interactive offering, user behavioral habits are recorded continuously, weighting recommendation is performed on recommendation data by weighting of ordinary user behaviors, so that the users can rapidly obtain corresponding information, information obtaining efficiency is improved for the users, and user experience is reinforced.
Description
Technical field
The present invention relates to intelligent cloud TV domain, relate in particular to a kind of quick recommend method for intelligent cloud TV.
Background technology
Along with the rise of intelligent television and the maturation of application shop charge profit distribution model, the user can obtain TV applications by each issue kind channel of using the shop, use such as social activity, information is used, financing is used, game is used, use etc. various types of magnanimity, yet various TV applications are magnanimity, and the channel of information that the user admits has fixedly thinking, it generally is to obtain application message by the most familiar mode, such as fixing application shop, the fixation application type channel in fixation application shop etc., but the channel of obtaining information is narrow like this, the amount of information of obtaining application is limited, is difficult to meet consumers' demand, and has reduced user's experience.
Therefore, prior art awaits further to improve and develop.
Summary of the invention
In view of above-mentioned the deficiencies in the prior art, the object of the present invention is to provide a kind of quick recommend method for intelligent cloud TV, to improve the efficient of user's obtaining information, strengthen user's experience.
Technical scheme of the present invention is as follows:
A kind of quick recommend method for intelligent cloud TV, it may further comprise the steps:
A, intelligent cloud TV Dynamic Acquisition user profile are used coupling with the match information of using shop server after analyzing the attribute of described user profile, and described application shop server is sent to described intelligent cloud TV with matching result and uses for user selection.
Described quick recommend method, wherein, what described steps A was concrete comprises: the camera of opening intelligent cloud TV catches the front user profile of camera, and described user profile transferred to subscriber information server, described subscriber information server is analyzed described user profile and is generated the attribute of corresponding user information, described subscriber information server is sent to described application shop server with the attribute of described corresponding user information and uses coupling, mate complete rear described application shop server match information is sent to described intelligent cloud TV, use for user selection.
Described quick recommend method, wherein, the attribute of described corresponding people information comprises: the information category that user's sex, domestic consumer's quantity, user's age, the duration that the user stops in corresponding informance and user initiatively pay close attention to.
Described quick recommend method, wherein, the match information of described application shop server is TV applications class, Video Applications class, reference content class and game application class and social application class.
Described quick recommend method, wherein, described TV applications class comprises that the child uses, the juvenile uses and old application; Described Video Applications class comprises animation, sheet and record; Described reference content class comprises Domestic News, Fascinate Jewel, health information and parent-offspring's information.
Described quick recommend method, wherein, what described steps A was concrete also comprises: described subscriber information server is set up client layer according to described user profile.
Described quick recommend method, wherein, described client layer comprises unique user and a plurality of user, described unique user comprises single child's user option, the lady's family of single juvenile option, single middle aged men and women's user option and single old male and female user option; Described a plurality of user comprises domestic consumer's option, father and mother's user option, middle aged domestic consumer's option and aged family user option.
Described quick recommend method, wherein, what described steps A was concrete also comprises: with the continuous weight optimization of the information of described user profile and described client layer, choose up-to-date user profile and set up described client layer.
Described quick recommend method, wherein, what described steps A was concrete comprises: open the described intelligent cloud TV programme state of televising, if the timing of TV programme state is switched without program half an hour, then open camera and arrest the front user profile of camera, and described user profile transferred to subscriber information server, described subscriber information server is analyzed described user profile and is generated the attribute of corresponding user information, described subscriber information server is sent to the attribute of described corresponding user information and uses shop server and use coupling, mate complete rear described application shop server match information is sent to described intelligent cloud TV, download and install application for user selection.
The invention provides a kind of quick recommend method for intelligent cloud TV, adopt the mode of Dynamic Acquisition user profile, come to carry out the mutual of attribute with the application shop by the data source of server or the scene environment personage's of data model analysis family result take family as scene, then giving alternately that by this application message is presented to the user selects, continuous recording user behavioural habits, then the weight by the usual behavior of user is weighted recommendation to recommending data, make the user obtain fast corresponding information, improve the efficient of user's obtaining information, strengthened user's experience.
Description of drawings
Fig. 1 is the structural representation of intelligent cloud TV among the present invention;
Fig. 2 is the schematic flow sheet of quick recommend method among the present invention;
Fig. 3 is the schematic flow sheet of an embodiment among the present invention.
Embodiment
The invention provides a kind of quick recommend method for intelligent cloud TV, clearer, clear and definite for making purpose of the present invention, technical scheme and effect, below the present invention is described in more detail.Should be appreciated that specific embodiment described herein only in order to explain the present invention, is not intended to limit the present invention.
The invention provides a kind of quick recommend method for intelligent cloud TV, such as Fig. 1 and shown in Figure 2, it comprises step 101: intelligent cloud TV 201 Dynamic Acquisition user profile, use coupling with the match information of using shop server 202 after analyzing the attribute of described user profile, described application shop server 202 is sent to described intelligent cloud TV 201 with matching result and uses for user selections.By continuous recording user behavioural habits, according to the weight of the usual behavior of user recommending data is weighted recommendation, make the user obtain fast corresponding information, improved the efficient of user's obtaining information, strengthened user's experience.
In another preferred embodiment of the present invention, what described step 101 was concrete comprises: the camera of opening intelligent cloud TV 201 catches the front user profile of camera, and described user profile transferred to subscriber information server 203, described subscriber information server 203 is analyzed described user profile and is generated the attribute of corresponding user information, described subscriber information server 203 is sent to described application shop server 202 with the attribute of described corresponding user information and uses coupling, mate complete rear described application shop server 202 match information is sent to described intelligent cloud TV 201, use for user selection.
Further, the attribute of described corresponding people information comprises: the information category that user's sex, domestic consumer's quantity, user's age, the duration that the user stops in corresponding informance and user initiatively pay close attention to.
And the match information of described application shop server is TV applications class, Video Applications class, reference content class, game application class and social application class.
For further detailed explanation, described TV applications class comprises that the child uses, the juvenile uses and old application; Described Video Applications class comprises animation, sheet and record; Described reference content class comprises Domestic News, Fascinate Jewel, health information and parent-offspring's information.
In another preferred embodiment of the present invention, what described step 101 was concrete also comprises: described subscriber information server 203 is set up client layer according to described user profile.
Further, described client layer comprises unique user and a plurality of user, and described unique user comprises single child's user option, the lady's family of single juvenile option, single middle aged men and women's user option and single old male and female user option; Described a plurality of user comprises domestic consumer's option, father and mother's user option, middle aged domestic consumer's option and aged family user option.
In its another preferred embodiment, what described step 101 was concrete also comprises: with the continuous weight optimization of the information of described user profile and described client layer, choose up-to-date user profile and set up described client layer.
Among the present invention among the more detailed embodiment, as shown in Figure 3,
Step 301: open the described intelligent cloud TV programme state of televising;
Step 302: if the timing of TV programme state is switched without program half an hour;
Step 303: then open camera and arrest the front user profile of camera;
Step 304: described user profile is transferred to subscriber information server 203;
Step 305: described subscriber information server 203 is analyzed described user profile and is generated the attribute of corresponding user information;
Step 306: described subscriber information server 203 is sent to described application shop server 202 with the attribute of described corresponding user information;
Step 307: described application shop server 202 is used coupling with the attribute of described corresponding user information;
Step 308: mate complete rear described application shop service 202 match information is sent to described intelligent cloud TV 201, download and install application for user selection.
Should be understood that, application of the present invention is not limited to above-mentioned giving an example, and for those of ordinary skills, can be improved according to the above description or conversion, and all these improvement and conversion all should belong to the protection range of claims of the present invention.
Claims (9)
1. quick recommend method that is used for intelligent cloud TV, it may further comprise the steps:
A, intelligent cloud TV Dynamic Acquisition user profile are used coupling with the match information of using shop server after analyzing the attribute of described user profile, and described application shop server is sent to described intelligent cloud TV with matching result and uses for user selection.
2. quick recommend method according to claim 1, it is characterized in that, what described steps A was concrete comprises: the camera of opening intelligent cloud TV catches the front user profile of camera, and described user profile transferred to subscriber information server, described subscriber information server is analyzed described user profile and is generated the attribute of corresponding user information, described subscriber information server is sent to described application shop server with the attribute of described corresponding user information and uses coupling, mate complete rear described application shop server match information is sent to described intelligent cloud TV, use for user selection.
3. quick recommend method according to claim 2, it is characterized in that, the attribute of described corresponding people information comprises: the information category that user's sex, domestic consumer's quantity, user's age, the duration that the user stops in corresponding informance and user initiatively pay close attention to.
4. quick recommend method according to claim 1 is characterized in that, the match information of described application shop server is TV applications class, Video Applications class, reference content class, game application class and social application class.
5. quick recommend method according to claim 4 is characterized in that, described TV applications class comprises that the child uses, the juvenile uses and old application; Described Video Applications class comprises animation, sheet and record; Described reference content class comprises Domestic News, Fascinate Jewel, health information and parent-offspring's information.
6. quick recommend method according to claim 2 is characterized in that, what described steps A was concrete also comprises: described subscriber information server is set up client layer according to described user profile.
7. quick recommend method according to claim 6, it is characterized in that, described client layer comprises unique user and a plurality of user, and described unique user comprises single child's user option, the lady's family of single juvenile option, single middle aged men and women's user option and single old male and female user option; Described a plurality of user comprises domestic consumer's option, father and mother's user option, middle aged domestic consumer's option and aged family user option.
8. quick recommend method according to claim 7 is characterized in that, what described steps A was concrete also comprises: with the continuous weight optimization of the information of described user profile and described client layer, choose up-to-date user profile and set up described client layer.
9. quick recommend method according to claim 2, it is characterized in that, what described steps A was concrete comprises: open the described intelligent cloud TV programme state of televising, if the timing of TV programme state is switched without program half an hour, then open camera and arrest the front user profile of camera, and described user profile transferred to subscriber information server, described subscriber information server is analyzed described user profile and is generated the attribute of corresponding user information, described subscriber information server is sent to the attribute of described corresponding user information and uses shop server and use coupling, mate complete rear described application shop server match information is sent to described intelligent cloud TV, download and install application for user selection.
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| CN103516805A (en) * | 2013-10-10 | 2014-01-15 | 贝壳网际（北京）安全技术有限公司 | Platform, method and system for application distribution |
| CN103543699A (en) * | 2013-06-26 | 2014-01-29 | 广州中大数字家庭工程技术研究中心有限公司 | Smart home management system based on smart box |
| CN103634617A (en) * | 2013-11-26 | 2014-03-12 | 乐视致新电子科技（天津）有限公司 | Video recommending method and device in intelligent television |
| CN103678719A (en) * | 2013-12-31 | 2014-03-26 | 冠捷显示科技（厦门）有限公司 | Recommended system for providing feedback through environment sensing actively |
| CN103853463A (en) * | 2014-02-27 | 2014-06-11 | 珠海多玩信息技术有限公司 | Voice controlling method and device |
| CN104159157A (en) * | 2013-05-13 | 2014-11-19 | 富泰华工业（深圳）有限公司 | Automatic channel switching system and method |
| CN104717525A (en) * | 2015-02-04 | 2015-06-17 | 四川长虹电器股份有限公司 | Intelligent television operation method based on camera |
| CN105046600A (en) * | 2015-07-09 | 2015-11-11 | 传成文化传媒（上海）有限公司 | Personalized information recommendation method and system of televisions for hotels |
| CN105046601A (en) * | 2015-07-09 | 2015-11-11 | 传成文化传媒（上海）有限公司 | User data processing method and system |
| CN105183513A (en) * | 2015-08-31 | 2015-12-23 | 小米科技有限责任公司 | Application recommendation method and apparatus |
| CN105787127A (en) * | 2016-03-29 | 2016-07-20 | 天脉聚源(北京)传媒科技有限公司 | Method and device for recommending application software |
| CN108810050A (en) * | 2017-05-03 | 2018-11-13 | 杭州美界科技有限公司 | A kind of beauty information supplying system based on artificial intelligence |
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| CN103678719A (en) * | 2013-12-31 | 2014-03-26 | 冠捷显示科技（厦门）有限公司 | Recommended system for providing feedback through environment sensing actively |
| CN103853463A (en) * | 2014-02-27 | 2014-06-11 | 珠海多玩信息技术有限公司 | Voice controlling method and device |
| CN104717525A (en) * | 2015-02-04 | 2015-06-17 | 四川长虹电器股份有限公司 | Intelligent television operation method based on camera |
| CN105046601A (en) * | 2015-07-09 | 2015-11-11 | 传成文化传媒（上海）有限公司 | User data processing method and system |
| CN105046600A (en) * | 2015-07-09 | 2015-11-11 | 传成文化传媒（上海）有限公司 | Personalized information recommendation method and system of televisions for hotels |
| CN105183513A (en) * | 2015-08-31 | 2015-12-23 | 小米科技有限责任公司 | Application recommendation method and apparatus |
| CN105787127A (en) * | 2016-03-29 | 2016-07-20 | 天脉聚源(北京)传媒科技有限公司 | Method and device for recommending application software |
| CN108810050A (en) * | 2017-05-03 | 2018-11-13 | 杭州美界科技有限公司 | A kind of beauty information supplying system based on artificial intelligence |
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Effective date of registration: 20200629 Address after: 23 / F, Guangdong hi tech District Patentee after: Shenzhen Konka Holding Group Co., Ltd Address before: 518053 overseas Chinese town, Shenzhen, Guangdong, Nanshan District Patentee before: KONKA GROUP Co.,Ltd. |