CN104378660A - Community user post analytical and statistical method and system based on cloud computing - Google Patents
Community user post analytical and statistical method and system based on cloud computing Download PDFInfo
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- CN104378660A CN104378660A CN201410618350.4A CN201410618350A CN104378660A CN 104378660 A CN104378660 A CN 104378660A CN 201410618350 A CN201410618350 A CN 201410618350A CN 104378660 A CN104378660 A CN 104378660A
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Classifications
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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
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25808—Management of client data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/951—Indexing; Web crawling techniques
-
- 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
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user 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]
- H04N21/20—Servers specifically adapted for the distribution of content, e.g. VOD servers; Operations thereof
- H04N21/25—Management operations performed by the server for facilitating the content distribution or administrating data related to end-users or client devices, e.g. end-user or client device authentication, learning user preferences for recommending movies
- H04N21/258—Client or end-user data management, e.g. managing client capabilities, user preferences or demographics, processing of multiple end-users preferences to derive collaborative data
- H04N21/25866—Management of end-user data
- H04N21/25875—Management of end-user data involving end-user authentication
Abstract
The invention discloses a community user post analytical and statistical method and system based on cloud computing. The system comprises a cloud terminal data center; the cloud terminal data center is provided with a television user database, a television attribute database, a television function database, a post attribute database and a post statistic analysis database, wherein the television user database is used for recording community user information; the television attribute database is used for recording television attribute information; the television function database is used for storing television function information; the post attribute database is used for recording post attribute information; the post statistic analysis database is used for recording statistic analysis results of posts; attribute values of the databases are allocated to be used for conducting statistic analysis on the posts. According to the community user post analytical and statistical method, the television user database, the television attribute database, the television function database, the post attribute database and the post statistic analysis database are built in the cloud terminal data center, the attribute values of the six databases are flexibly allocated to bring convenience to community user data and post data counting, and more detailed and accurate information of the posts is accordingly obtained.
Description
Technical field
The present invention relates to intelligent television field, particularly relate to a kind of community users model analytic statistics methods based on cloud computing and system.
Background technology
Along with the development of intelligent television, Consumer's Experience becomes the vital link of intelligent television, and the community of intelligent television (intelligent television official website forum) becomes the bridge that television manufacturer and user link up, user can send out model (user comment) various inside community, television manufacturer can be collected the various experience data about tv product or problem data by these models or advise data, then improves tv product according to these data.Current intelligent television manufacturer does not also have a kind of good method to collect these communities of users data of statistical analysis, and prior art also rests on artificial upper community and sees model then record analysis.These modes one are not in time, and two is comprehensive, are difficult to really understand what kind of the comment of whole product user is, also cannot how this improves and optimizates according to next step product iteration of data analysis of these statistics.
Therefore, prior art has yet to be improved and developed.
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 community users model analytic statistics methods based on cloud computing and system, be intended to solve existing community users model analytical method not in time, not comprehensively, the problem of inefficiency.
Technical scheme of the present invention is as follows:
Based on a community users model analytic statistics system for cloud computing, wherein, comprise a high in the clouds data center, data center is provided with beyond the clouds:
TV user data storehouse, for recording community users information;
TV attribute database, for record television attribute information;
TV functions database, for storing television function information;
Model attribute database, for recording model attribute information;
Model analytical database, for recording model analytical information;
Model statistical data analysis storehouse, for recording model statistical analysis information;
By configuring the property value of above-mentioned database, statistical analysis is carried out to model.
The described community users model analytic statistics system based on cloud computing, wherein, described community users information comprises user name, password, certification in kind, post number and money order receipt to be signed and returned to the sender number.
The described community users model analytic statistics system based on cloud computing, wherein, described TV attribute information comprises television model, screen joined by TV set core model, TV, TV string number, TV date of manufacture and TV software version.
The described community users model analytic statistics system based on cloud computing, wherein, described model attribute information comprises problem subsides, demand is pasted, experience subsides, advise subsides and model keyword.
The described community users model analytic statistics system based on cloud computing, wherein, described model analytical information comprise model for TV functions and the demand that proposes.
The described community users model analytic statistics system based on cloud computing, wherein, described model statistical analysis information comprises authenticated user rate in kind, registered user's certification rate in kind, registration type certification rate in kind, community's effective data rate and TV functions and model correlation ratio.
As above based on an analytic statistics methods for the community users model analytic statistics system of cloud computing, wherein, comprise step:
A, when user login community, by the community users Data Enter of this user to TV user data storehouse;
B, when user is by the built-in certification Quick Response Code in kind of mobile telephone scanning TV, TV is associated with community, and this authentication information in kind is entered into TV user data storehouse;
C, when user selects TV one function and posts, user-selected function is entered into TV functions database, the type of model is entered into model attribute database;
D, when user posts, start model function of statistic analysis, by analysis result typing model statistical data analysis storehouse.。
Beneficial effect: the present invention beyond the clouds data center sets up TV user data storehouse, TV attribute database, TV functions database, model statistical data analysis storehouse, model attribute database, model analytical database, by the property value of flexible configuration 6 large database concept, to add up user and the model data of community, thus obtain model information more in detail accurately.
Accompanying drawing explanation
Fig. 1 is the structured flowchart at a kind of community users model analytic statistics system medium cloud end data center based on cloud computing of the present invention.
Fig. 2 is the flow chart of a kind of community users model analytic statistics methods embodiment based on cloud computing of the present invention.
Embodiment
The invention provides a kind of community users model analytic statistics methods based on cloud computing and system, for making object of the present invention, technical scheme and effect clearly, clearly, the present invention is described in more detail below.Should be appreciated that specific embodiment described herein only in order to explain the present invention, be not intended to limit the present invention.
Based on a community users model analytic statistics system for cloud computing, as shown in Figure 1, it comprises and is arranged on high in the clouds data center:
TV user data storehouse 100, for recording community users information;
TV attribute database 200, for record television attribute information;
TV functions database 300, for storing television function information;
Model attribute database 400, for recording model attribute information;
Model analytical database 500, for recording model analytical information;
Model statistical data analysis storehouse 600, for recording model statistical analysis information.
Specifically, described community users information comprises user name, password, certification in kind (in kind 1, in kind 2 ... N in kind), post number and money order receipt to be signed and returned to the sender number.
Described TV attribute information comprises television model, screen joined by TV set core model, TV, TV string number and the information such as TV date of manufacture, TV software version.
Described TV functions is function 1, the function 2 of TV ... function N etc.Such as wifi function, 3D function etc.
Described model attribute information comprises problem subsides, demand is pasted, experience subsides, advise subsides, model keyword.Model keyword is wherein used to the keyword setting model concern, comprises competing product keyword, name keys, key to the issue word etc.
Described model analytical information comprise model for TV functions and the demand that proposes.
Described model statistical analysis information comprises authenticated user rate in kind, registered user's certification rate in kind, registration type certification rate in kind, community's effective data rate and the statistical analysis such as TV functions and model correlation ratio and combines.
High in the clouds data center can the property value of this 6 large database concept of flexible configuration, so that the model data of statistical analysis community users.
A kind of community users model analytic statistics methods based on cloud computing provided by the present invention, as shown in Figure 2, it comprises step:
S101, when user login community, by the community users Data Enter of this user to TV user data storehouse;
Such as, user registers Konka's TV community account, and log in TV community of Konka, so the community users information of this user is then logged in TV user data storehouse.
S102, when user is by the built-in certification Quick Response Code in kind of mobile telephone scanning TV, TV is associated with community, and this authentication information in kind is entered into TV user data storehouse;
The process of certification in kind comprises: the built-in certification Quick Response Code in kind of mobile telephone scanning TV carries out associating of TV and community.TV information is can read from TV attribute database, to judge the information whether invalid data of user's certification in kind, associated with community by the TV attribute of user, the certification in kind (1 field in kind) in data inputting TV user data storehouse, a user can associate multiple television set.
S103, when user selects TV one function and posts, user-selected function is entered into TV functions database, the type of model is entered into model attribute database;
Enter TV community, enter TV functions and divide column, data and the content of point column are extracted from TV functions database, automatically generate.
User's selection function 1, when posting, selects the type of model: problem is pasted, demand is pasted, experience subsides, suggestion is pasted, input model text.Submit model to.The type information typing model attribute database of model)
S104, when user posts, start model function of statistic analysis, by analysis result typing model statistical data analysis storehouse
User posts, and starts model function of statistic analysis, by the association attributes typing model statistical data analysis storehouse of model.
Further, described step S104 specifically comprises:
S201, submit successful model to after, start model analytic statistics function
The user profile of S202, this model of acquisition submission;
Whether the user profile such as obtained comprises: be certification in kind, so obtains machine models, string number, the information such as TV software version, carrys out with this information the tv product essential information that consumer positioning proposes demand.
These are all that backstage is carried out, and be transparent concerning user, user registers account number, just can automatically collect these data by server when carrying out certification in kind with regard to community.
S203, model analysis;
Such as analyzing this model is what problem proposed for which function; Analyze 1 and extract model latitude: function 1, demand, for the demand that function 1 proposes.Analyze 2: which keyword model comprises: function of search, inquiry inconvenience.
Such as model for function be function 1, the demand that user proposes is, function 1 need increase function of search, model text is that function 1 does not have function of search, and user inquires about inconvenience, please increase.
Like this, each database just can preserve corresponding information, and analysis result, checks and upgrade next-generation for these data iteration of adding up for producer.
S204, statistics.
Such as add up in a period of time, which version of which type, user proposes the problem of which latitude.
The process of above-mentioned statistical analysis has a lot of data assemblies, and similar examples will not be listed again herein.
In sum, the present invention beyond the clouds data center sets up TV user data storehouse, TV attribute database, TV functions database, model statistical data analysis storehouse, model attribute database, model analytical database, by the property value of flexible configuration 6 large database concept, to add up user and the model data of community, thus obtain model information more in detail accurately.
Should be understood that, application of the present invention is not limited to above-mentioned citing, for those of ordinary skills, can be improved according to the above description or convert, and all these improve and convert the protection range that all should belong to claims of the present invention.
Claims (7)
1., based on a community users model analytic statistics system for cloud computing, it is characterized in that, comprise a high in the clouds data center, data center is provided with beyond the clouds:
TV user data storehouse, for recording community users information;
TV attribute database, for record television attribute information;
TV functions database, for storing television function information;
Model attribute database, for recording model attribute information;
Model analytical database, for recording model analytical information;
Model statistical data analysis storehouse, for recording model statistical analysis information;
By configuring the property value of above-mentioned database, statistical analysis is carried out to model.
2. the community users model analytic statistics system based on cloud computing according to claim 1, is characterized in that, described community users information comprises user name, password, certification in kind, post number and money order receipt to be signed and returned to the sender number.
3. the community users model analytic statistics system based on cloud computing according to claim 1, it is characterized in that, described TV attribute information comprises television model, screen joined by TV set core model, TV, TV string number, TV date of manufacture and TV software version.
4. the community users model analytic statistics system based on cloud computing according to claim 1, is characterized in that, described model attribute information comprises problem subsides, demand is pasted, experience subsides, advise subsides and model keyword.
5. the community users model analytic statistics system based on cloud computing according to claim 1, is characterized in that, described model analytical information comprise model for TV functions and the demand that proposes.
6. the community users model analytic statistics system based on cloud computing according to claim 1, it is characterized in that, described model statistical analysis information comprises authenticated user rate in kind, registered user's certification rate in kind, registration type certification rate in kind, community's effective data rate and TV functions and model correlation ratio.
7., as claimed in claim 1 based on an analytic statistics methods for the community users model analytic statistics system of cloud computing, it is characterized in that, comprise step:
A, when user login community, by the community users Data Enter of this user to TV user data storehouse;
B, when user is by the built-in certification Quick Response Code in kind of mobile telephone scanning TV, TV is associated with community, and this authentication information in kind is entered into TV user data storehouse;
C, when user selects TV one function and posts, user-selected function is entered into TV functions database, the type of model is entered into model attribute database;
D, when user posts, start model function of statistic analysis, by analysis result typing model statistical data analysis storehouse.
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CN1392506A (en) * | 2002-08-20 | 2003-01-22 | 魏建军 | Multiple platform video audio interactive system |
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Application publication date: 20150225 |