CN101901252A - Method for integrating same user data on multiple websites and integration platform - Google Patents

Method for integrating same user data on multiple websites and integration platform Download PDF

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Publication number
CN101901252A
CN101901252A CN2010102174457A CN201010217445A CN101901252A CN 101901252 A CN101901252 A CN 101901252A CN 2010102174457 A CN2010102174457 A CN 2010102174457A CN 201010217445 A CN201010217445 A CN 201010217445A CN 101901252 A CN101901252 A CN 101901252A
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user
data
website
integration platform
user data
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董昊
邹华
刘志晗
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ZTE Corp
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ZTE Corp
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Abstract

The invention discloses a method for integrating the same user data on multiple websites. The method comprises the following steps that: an integration platform informs of the websites to upload user data of a user when the user visits the websites; and the integration platform classifies the user data of the user, which are uploaded by the websites, makes analysis on the basis of the classified user data and feeds back the analysis result to each website. The invention also discloses the integration platform integrating the same user data on the multiple websites. When the method and the integration platform are applied, each SNS website can share the user data of the same user on different SNS websites.

Description

A kind of method and integration platform of integrating same user data in a plurality of websites
Technical field
The present invention relates to the user data integration technology in the internet arena, relate in particular to a kind of method and integration platform of integrating same user data in a plurality of websites.
Background technology
Along with the development of Internet technology, the website of Web2.0 type continues to bring out, and wherein just comprises a lot of social network services (SNS, Social Networking Services) website.SNS refers to be intended to help people to set up the internet, applications service of social network; The another kind of SNS is interpreted as Social Network Site, i.e. social network sites or social network.
At present, the explanation of domestic SNS more is close to social network, as: net and happy net etc. in the school, the user has and each SNS website corresponding account number, and in the process of using each SNS website, can produce a large amount of user data, be user-generated content (UGC), for example: daily record, photo, comment or state etc., each all user data of users of SNS web site stores website self, and user data carried out analysis-by-synthesis, so that understand the interest of different user, so according to user's interest with article, content such as video or advertisement sends to relative users, and user experience is good.
But, the user data of each SNS website can't be reused on a plurality of SNS website, that is to say, same user data of users can not be shared between different SNS website, each SNS website that this user registered all needs this user data of users is isolated analysis, the user data that may cause some SNS website to be grasped is too thin, thereby can not provide preferable service to the user, and the user also can only login the service that each SNS website uses different SNS website to provide successively.For example: for the user of new registration, an independent SNS website all can't be obtained enough data and analyze in a period of time, and this will influence the accuracy of Users'Data Analysis, and then service impacting providing, and user experience reduces.
As seen, a certain user data of users source that existing arbitrary SNS website is grasped only limits to the analysis result of this SNS website self, is isolated to the described same user data of users that grasp other SNS website.
Summary of the invention
In view of this, fundamental purpose of the present invention is to provide a kind of method and integration platform of integrating same user data in a plurality of websites, makes each SNS website can share the user data of same user in different SNS website.
For achieving the above object, technical scheme of the present invention is achieved in that
The invention provides a kind of method of integrating same user data in a plurality of websites, this method comprises:
This user data of users is uploaded in integration platform notice website when the user capture website; This user data of users that integration platform is uploaded each website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each website.
Wherein, the classification of described integration platform execution is operating as:
This user's that each website is uploaded all customer data is classified for four types by users personal data, user's social relationships data, user generated data and user behavior data.
Wherein, the analysis operation of described integration platform execution is:
The user data of having sorted out is carried out user's value analysis, user preference analysis and user's cluster analysis.
Wherein, each website is when integration platform is uploaded user data, and this method also comprises:
Each website is uploaded to integration platform with user's application message of this user, and integration platform is presented to this user after user's application message of receiving is merged by clustering algorithm.
Wherein, described user capture website is: the user logins integration platform, and the link that provides for each website by integration platform enters the page of corresponding website.
The present invention also provides a kind of integration platform of integrating same user data in a plurality of websites,
Described integration platform is used to notify the website when the user capture website, uploads this user data of users, and this user data of users that upload each website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each website.
Described integration platform further comprises: data classifying module, data analysis module and data memory module; Wherein,
Described data classifying module when being used for the user capture website, this user data of users that upload each website is carried out the classification operation, and the user data that will sort out sends to the data memory module storage;
Described data memory module is used to store the user data that the data classifying module has been sorted out;
Described data analysis module is used for the user data of having sorted out of data memory module storage is analyzed, and analysis result is fed back to each website.
Wherein, described integration platform further comprises: base application module and user interface; Wherein,
Described base application module, when being used for the user capture website, user's application message of this user that each website is uploaded merges by clustering algorithm, and amalgamation result is sent to user interface;
Described user interface is used for the amalgamation result that the base application module is sent out is presented to the user.
Described integration platform also comprises unified login module, during practical application, after the user clicks the link of each website on the user interface, visits each website by unified login module; Accordingly,
Described user interface is further used for providing for the user link of each website.
In the such scheme, the user data of having sorted out that described data memory module is stored comprises: users personal data, user's social relationships data, user generated data and user behavior data.
The method and the integration platform of same user data in a plurality of websites of integration provided by the invention, this user data of users is uploaded in integration platform notice website when the user capture website; This user data of users that integration platform is uploaded each website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each website.The present invention can integrate the user data of same user in different SNS website, data after the integration feed back to each SNS website again through the excavation and the analysis of the degree of depth, each SNS website can provide better service for the user according to the analysis result of integration platform, improves user experience.
Compared with prior art, each SNS website does not need user data is analyzed among the present invention, only need to give integration platform with user data upload, carry out follow-up analysis operation etc. by integration platform, and each SNS website can obtain getting more deep result than existing single SNS web analytics, so each SNS website can be the user better service is provided among the present invention.
In addition, user of the present invention can be behind the login integration platform, and the link by each SNS website on the user interface can each SNS website of random access, and do not need to login successively each SNS website, fill in the trouble of personal information in the time of can avoiding the user to login, user experience is good at every turn, has realized unified login.
Description of drawings
Fig. 1 is the realization flow synoptic diagram of same user data approach embodiment in the present invention integrates a plurality of SNS website;
Fig. 2 is the integration platform structural representation of same user data in the present invention integrates a plurality of websites.
Embodiment
Basic thought of the present invention is: this user data of users is uploaded in integration platform notice website when the user capture website; This user data of users that integration platform is uploaded each website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each website.
Wherein, described user data can be divided into users personal data, user's social relationships data, user generated data and user behavior data, specifically comprises: comment that daily record that userspersonal information, user upload and photo, user deliver and User Status etc.; Described analysis result comprises: user's value analysis result, user preference analysis result and user's cluster analysis result etc.
Among the present invention, described website can be number of different types, as the SNS website, also can be the website of other Web2.0 type, and being example with the SNS website below is described in detail the method for same user data in a plurality of websites of integration of the present invention.
Fig. 1 is the realization flow synoptic diagram of same user data approach embodiment in the present invention integrates a plurality of SNS website, and as shown in Figure 1, the performing step of this method is as follows:
Step 101: between user and each SNS website, set up integration platform;
Here, after integration platform is set up, have a mind to sign relevant cooperation agreement with the integration platform developer earlier with the SNS Website development merchant that the integration platform developer cooperates.Required each class interface when integration platform provides service operation for each website, as: data class interface and control class interface etc., the SNS website that adds integration platform is under the situation of user's permission, give integration platform with user data upload, integration platform provides user data integrated service between different SNS website for described SNS website.
Wherein, described user's permission is meant: the user needs in account of integration platform registration, and provide its personal account information in each SNS website to integration platform, as: username and password etc., integration platform notifies each this user of SNS website who has signed cooperation agreement to apply for service afterwards, and when each SNS website of this user capture, upload this user data of users.
Step 102: this user data of users is uploaded in integration platform notice SNS website when user capture SNS website;
Be specially: integration platform and each mode of SNS website in the step 101 by signing an agreement, when notifying each SNS website to need only user capture SNS website, promptly upload this user data of users.During user capture SNS website, may carry out upload pictures, make comments and/or write operations such as daily record, the SNS website is about to the user when carrying out aforesaid operations, and corresponding user data is uploaded to integration platform.
Here, the user then will login integration platform earlier as visiting the SNS website, and concrete by integration platform visit SNS website, integration platform provides corresponding link for each SNS website, and the user can enter the page of corresponding SNS website by clickthrough.
Step 103: this user data of users that integration platform is uploaded each SNS website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each SNS website;
Be specially: after integration platform is received the same user data of users of uploading each SNS website, all user data are sorted out, integrate the data of this user in different SNS website, classifying method can be: this user's that each SNS website is uploaded all customer data is classified for four types by users personal data, user's social relationships data, user generated data and user behavior data, and several data after will sorting out store respectively, for follow-up data analysis work is prepared.
Wherein, described users personal data can comprise: data such as user's name, local and contact method;
Described user's social relationships data can comprise: the user once, two data such as degree good friends and relational network;
Described user generated data can comprise: the daily record that the user writes, the ownness of modification, photo of uploading and the data of sharing such as content;
Described user behavior data can comprise: user and good friend's mutual temperature, write the data such as frequency of daily record.
After user data is classified, the user data of having sorted out is analyzed, that is: according to the user data of having sorted out user's value, user preference and user's cluster etc. are analyzed, afterwards analysis result is fed back to each SNS website.
Wherein, described analytical approach can be: according to user's social relationships data and user behavior data user's value is analyzed, as: about the analysis of user to other user's degree of influence; According to user generated data and user behavior data user preference is analyzed, as: about the analysis of user's hobby, interest etc.; According to described four class user data user's cluster is analyzed, as: do not add the analysis that colony exists common interest, hobby etc. about user and some.
Described step 102 further comprises: the SNS website also can be uploaded to integration platform with this user's related datas such as good friend's strange thing when integration platform is uploaded user data.Here, can be user's application message with data definitions such as described good friend's strange things, these data are not this user data of users, can be regarded as other user data of users.After integration platform is received user's application message of this user that upload the SNS website, after merging by clustering algorithm, present to this user.
Here, described clustering algorithm includes but not limited to K-means clustering algorithm and hierarchical clustering algorithm etc.Clustering algorithm is made up of some patterns, and pattern is the vector of a tolerance normally, or a point in the hyperspace.Cluster analysis is based on similarity, compares between the pattern in a cluster not have more similarity between the pattern in same cluster.For example: user's good friend has upgraded identical status information on a plurality of SNS website, and then integration platform will be received many strange things that upload each SNS website, and integration platform is merged into a class by clustering algorithm with these several strange things and is shown to the user.After the clustering algorithm processing, user's application information list of a plurality of SNS website is merged into a tabulation, and this tabulation can be arranged in proper order according to time sequencing, website order or application type classification etc., and concrete sortord is not limit.
Here, each SNS website can provide better service to the user according to analysis result after receiving the analysis result that integration platform sends out, for example: give the user according to user preference with information push such as user's interest film, music, improve user experience.
Fig. 2 is the integration platform structural representation of same user data in the present invention integrates a plurality of websites, and as shown in Figure 2, because integration platform is managed a plurality of websites, each website is identical with the annexation of integration platform, so the website of only drawing among Fig. 2 describes; Wherein,
Described integration platform is used to notify the website when the user capture website, uploads this user data of users, and this user data of users that upload each website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each website.
Described integration platform further comprises: data classifying module, data analysis module and data memory module; Wherein,
Described data classifying module when being used for the user capture website, this user data of users that upload each website is carried out the classification operation, and the user data that will sort out sends to the data memory module storage;
Described data memory module is used to store the user data that the data classifying module has been sorted out;
Described data analysis module is used for the user data of having sorted out of data memory module storage is analyzed, and analysis result is fed back to each website.
Described integration platform further comprises: base application module and user interface; Wherein,
Described base application module, when being used for the user capture website, user's application message of this user that each website is uploaded merges by clustering algorithm, and amalgamation result is sent to user interface;
Described user interface is used for the amalgamation result that the base application module is sent out is presented to the user.
Described integration platform further comprises unified login module, during practical application, after the user clicks the link of each website on the user interface, visits each website by unified login module; Accordingly,
Described user interface is further used for providing for the user link of each website.
The above is preferred embodiment of the present invention only, is not to be used to limit protection scope of the present invention, all any modifications of being done within the spirit and principles in the present invention, is equal to and replaces and improvement etc., all should be included within protection scope of the present invention.

Claims (10)

1. method of integrating same user data in a plurality of websites is characterized in that this method comprises:
This user data of users is uploaded in integration platform notice website when the user capture website; This user data of users that integration platform is uploaded each website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each website.
2. the method for same user data is characterized in that in a plurality of websites of integration according to claim 1, and the classification that described integration platform is carried out is operating as:
This user's that each website is uploaded all customer data is classified for four types by users personal data, user's social relationships data, user generated data and user behavior data.
3. the method for same user data is characterized in that in a plurality of websites of integration according to claim 1 and 2, and the analysis operation that described integration platform is carried out is:
The user data of having sorted out is carried out user's value analysis, user preference analysis and user's cluster analysis.
4. the method for same user data is characterized in that in a plurality of websites of integration according to claim 1 and 2, and each website is when integration platform is uploaded user data, and this method also comprises:
Each website is uploaded to integration platform with user's application message of this user, and integration platform is presented to this user after user's application message of receiving is merged by clustering algorithm.
5. the method for same user data is characterized in that in a plurality of websites of integration according to claim 1 and 2, and described user capture website is: the user logins integration platform, and the link that provides for each website by integration platform enters the page of corresponding website.
6. an integration platform of integrating same user data in a plurality of websites is characterized in that,
Described integration platform is used to notify the website when the user capture website, uploads this user data of users, and this user data of users that upload each website is sorted out, and analyzes based on the user data of having sorted out, and analysis result is fed back to each website.
7. the integration platform of same user data is characterized in that described integration platform further comprises: data classifying module, data analysis module and data memory module in a plurality of websites of integration according to claim 6; Wherein,
Described data classifying module when being used for the user capture website, this user data of users that upload each website is carried out the classification operation, and the user data that will sort out sends to the data memory module storage;
Described data memory module is used to store the user data that the data classifying module has been sorted out;
Described data analysis module is used for the user data of having sorted out of data memory module storage is analyzed, and analysis result is fed back to each website.
8. the integration platform of same user data is characterized in that described integration platform further comprises: base application module and user interface in a plurality of websites of integration according to claim 7; Wherein,
Described base application module, when being used for the user capture website, user's application message of this user that each website is uploaded merges by clustering algorithm, and amalgamation result is sent to user interface;
Described user interface is used for the amalgamation result that the base application module is sent out is presented to the user.
9. the integration platform of same user data in a plurality of websites of integration according to claim 8, it is characterized in that described integration platform further comprises unified login module, during practical application, after the user clicks the link of each website on the user interface, visit each website by unified login module; Accordingly,
Described user interface is further used for providing for the user link of each website.
10. according to the integration platform of same user data in claim 6,7, a plurality of websites of 8 or 9 described integration, it is characterized in that the user data of having sorted out that described data memory module is stored comprises: users personal data, user's social relationships data, user generated data and user behavior data.
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