CN109063130A - Merge the method for showing social sharing information based on user behavior - Google Patents
Merge the method for showing social sharing information based on user behavior Download PDFInfo
- Publication number
- CN109063130A CN109063130A CN201810871000.7A CN201810871000A CN109063130A CN 109063130 A CN109063130 A CN 109063130A CN 201810871000 A CN201810871000 A CN 201810871000A CN 109063130 A CN109063130 A CN 109063130A
- Authority
- CN
- China
- Prior art keywords
- data
- user
- user behavior
- social
- information
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/01—Social networking
Abstract
The invention discloses merge the method for showing social sharing information based on user behavior, it include: the user behavior for obtaining user in other multiple social platforms, the user behavior of the user merges on the user behavior for the user in other multiple social platforms that will acquire and this social platform；User behavior after merging is carried out to social sharing in this social platform；The Social behaviors data for solving existing single platform accurately can not comprehensively react the Social behaviors of a user, the technical issues of causing user accurately really can not comprehensively understand other users when carrying out social, displaying can be merged for the Social behaviors data of user in multiple platforms by this method by realizing, the Social behaviors that accurately can really show the user comprehensively, the technical effect of accurately social judgement is carried out convenient for other users.
Description
Technical field
The present invention relates to computer network fields, and in particular, to one kind is merged based on user behavior shows social share
The method of information.
Background technique
With the development of computer network, the type of application program is more and more, and function is also more and more abundant.Social application
Program be exactly it is one such, there are many kinds of existing social application programs, such as wechat, microblogging, QQ.
In the prior art, if a user is merely able to understand it should be understood that when the Social behaviors of another user
Add the Social behaviors data in good friend or identical platform, and the Social behaviors data of single platform accurately can not comprehensively react
The Social behaviors of one user cause user accurately true can not comprehensively understand other users when carrying out social.
Summary of the invention
The present invention provides a kind of methods for being merged based on user behavior and showing social sharing information, solve existing list
The Social behaviors data of platform accurately can not comprehensively react the Social behaviors of a user, cause user when carrying out social without
Method accurately really comprehensively understands the technical issues of other users, and realizing can be by user in multiple platforms by this method
Social behaviors data merge displaying, accurately can really show the Social behaviors of the user comprehensively, be convenient for other users
Carry out the technical effect of accurately social judgement.
For achieving the above object, this application provides merge the side for showing social sharing information based on user behavior
Method, which comprises
Obtain user behavior of the user in other multiple social platforms, being somebody's turn to do in other the multiple social platforms that will acquire
The user behavior of the user merges on the user behavior of user and this social platform；
User behavior after merging is carried out to social sharing in this social platform；
Wherein, user behavior is merged and is specifically included:
Classify to the user behavior data in social platform, obtains preliminary classification result；
User behavior data in each preliminary classification classification is subjected to similarity-rough set, similarity is met into preset requirement
User behavior data be divided into similar subclass, by the user behavior data not being divided into similar subclass divide
Into independent subclass；
User behavior data in similar subclass is compared, deletes the lesser user behavior data of data volume, often
Only retain the maximum user behavior data of data volume in a similar subclass；
The user behavior data of all subclass is merged.
Wherein, the principle of this method are as follows: then user behavior of the acquisition user in other multiple social platforms first will
The user behavior of the user in other multiple social platforms and the user behavior of the user in this social platform obtained into
Row merges；User behavior after merging is carried out to social sharing in this social platform；User can be obtained in multiple platforms
On social data, convenient for the accurate comprehensively true Social behaviors for showing user.
Wherein, some users may carry out identical Social behaviors on different platforms, and therefore, this method will be duplicate
Data are deleted, and other users is avoided to browse duplicate user behavior data, specifically: to the user behavior in social platform
Data are classified, and preliminary classification result is obtained；User behavior data in each preliminary classification classification is subjected to similarity ratio
Compared with the user behavior data that similarity meets preset requirement is divided into similar subclass, similar son will be divided into
User behavior data in classification is divided into independent subclass；Then the user behavior data in similar subclass is compared
Compared with deleting the lesser user behavior data of data volume, only retain the maximum user behavior number of data volume in each similar subclass
According to；Finally the user behavior data of all subclass is merged.
Further, the user behavior data of other social platforms is huge, this social platform is also impossible to have permission
Go to obtain the internal data of other social platforms, therefore, this method devises can be in data disclosed in other social platforms
The social data for accurately obtaining same subscriber, then merges displaying, specifically: it establishes characteristic and extracts model, it is special
Sign data extract model for extracting characteristic information in subscriber data, and characteristic information includes: head image information, nickname information, age
Information, hobby information, self-introduction information, birthday by information, beaching accommodation id information, history positioning position information；Feature
Data can characterize the user behavior of user, then show that the data are same subscribers in difference when the characteristic of user is identical
It presents, then can merge in social platform；
Subscriber data of the user in this social platform is obtained, model is extracted based on characteristic and subscriber data is obtained and used
Fisrt feature information of the family in this social platform；
It is connect with the Database of other social platforms, number of the model from other social platforms is extracted based on characteristic
According to corresponding characteristic information group is extracted in library respectively；
Fisrt feature information is matched with characteristic information group, matches the similar features letter of similarity meet demand
Breath；
Based on the corresponding similar users ID in other social platforms of similar features acquisition of information similar features information；
Based on similar users ID, user behavior of the similar users ID in corresponding social platform is obtained.It can be accurate
User behavior data of the user in other social platforms is obtained, convenient for accurately merging displaying, rather than gets it
His user's merges displaying.
Further, when two characteristic informations carry out similarity-rough set, if any 5 kinds or 5 kinds or more in characteristic information
Information it is identical, then two characteristic information similarity meet demands.
Further, the method also includes:
User behavior data after being merged；
User behavior data after merging is analyzed, obtain user behavior data in video data, image data,
Lteral data；
Video data, image data, lteral data publicity pattern are obtained respectively, and publicity pattern is that user oneself uploads or turns
Hair；
Video data, image data, lteral data the first minor sort of progress are incited somebody to action to obtain, the data that user oneself uploads are come
Before the data of forwarding；
Two minor sorts are carried out to the data after the first minor sort, video data, image data, lteral data is obtained and thumbs up
Number and number of reviews, based on thumbing up the descending sequence of number to video data, image data, the secondary row of lteral data
Sequence, if thumbing up, number is identical, and number of reviews is more, arrange it is forward, if thumb up number and number of reviews it is all the same if arrange it is random
Front and back sequence；
It is based on two minor sorts as a result, the user behavior data after sequence is shown in this social platform.
Wherein, the behavioral data of user has very much, but is much to social nonsensical or secondary data, we
Method can be therefrom ranked up, and preferential merging shows that the critical data that can represent user behavior is shown, convenient for accurate
Show the behavior of user, it is social convenient for accurately carrying out.
Further, the user behavior data after being merged；
User behavior data after merging is analyzed, obtain user behavior data in video data, image data,
Lteral data；
The video data of acquisition, image data, lteral data are analyzed, video data, image data, text are obtained
The corresponding keyword of data matches keyword with video data, image data, lteral data；
When user A clicks the social interface of user B in this social platform, based on user A selection keyword, to
User behavior data disclosed in the B of family is preferentially ranked up according to keyword.
Wherein, this method can also show that content is ranked up to merging, and can be come according to the hobby of user, such as keyword
It is ranked up, fast and accurately searches out the user behavior data for oneself wanting to see from user behavior data convenient for user.
Further, when user operates in social platform, social platform obtains the user behavior data of user,
And the user behavior data of acquisition is showed into user, and providing for user allows this user behavior data to merge exhibition
The option for showing and this user behavior data not being allowed to merge displaying；
Operation is marked for this user behavior data in selection based on user, if allowing to merge displaying
Data are then labeled as 1, are then labeled as 2 if the data for not allowing to merge displaying；
The user's mark in other multiple social platforms that will acquire be 1 user behavior and this social platform on should
The user behavior that user's mark is 1 merges.
Further, this method also provides privacy selection for user, such as user behavior number of the user on workbench
According to not needing to be merged into social platform, then user can be marked, and avoid being merged, and meet the personalized need of user
It asks.
Further, the method also includes:
User behavior data after being merged；
User behavior data after merging is analyzed, obtain user behavior data in video data, image data,
Lteral data；
Video data, image data, lteral data publicity pattern are obtained respectively, and publicity pattern is that user oneself uploads or turns
Hair；
Video data, image data, lteral data the first minor sort of progress are incited somebody to action to obtain, the data that user oneself uploads are come
Before the data of forwarding；
Two minor sorts are carried out to the data after the first minor sort, video data, the image that comment is participated in user or is thumbed up
Data, lteral data carry out priority ordering.
Further, user can add permission list in social platform, by the user behavior after merging in this social activity
After carrying out social sharing on platform, other users can be checked accordingly according to the permission of member in permission list.
One or more technical solution provided by the present application, has at least the following technical effects or advantages:
The Social behaviors data for solving existing single platform accurately can not comprehensively react the Social behaviors of a user,
It the technical issues of causing user accurately really can not comprehensively understand other users when carrying out social, realizes and passes through this method
The Social behaviors data of user in multiple platforms can be merged displaying, accurately really can show the user's comprehensively
Social behaviors carry out the technical effect of accurately social judgement convenient for other users.
Detailed description of the invention
Attached drawing described herein is used to provide to further understand the embodiment of the present invention, constitutes one of the application
Point, do not constitute the restriction to the embodiment of the present invention；
Fig. 1 is to merge the flow diagram for showing the method for social sharing information in the application based on user behavior.
Specific embodiment
To better understand the objects, features and advantages of the present invention, with reference to the accompanying drawing and specific real
Applying mode, the present invention is further described in detail.It should be noted that in the case where not conflicting mutually, the application's
Feature in embodiment and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
Implemented with being different from the other modes being described herein in range using other, therefore, protection scope of the present invention is not by under
The limitation of specific embodiment disclosed in face.
Referring to FIG. 1, this application provides merge the method for showing social sharing information, the method based on user behavior
Include:
Obtain user behavior of the user in other multiple social platforms, being somebody's turn to do in other the multiple social platforms that will acquire
The user behavior of the user merges on the user behavior of user and this social platform；
User behavior after merging is carried out to social sharing in this social platform；
Wherein, user behavior is merged and is specifically included:
Classify to the user behavior data in social platform, obtains preliminary classification result；
User behavior data in each preliminary classification classification is subjected to similarity-rough set, similarity is met into preset requirement
User behavior data be divided into similar subclass, by the user behavior data not being divided into similar subclass divide
Into independent subclass；
User behavior data in similar subclass is compared, deletes the lesser user behavior data of data volume, often
Only retain the maximum user behavior data of data volume in a similar subclass；
The user behavior data of all subclass is merged.
Wherein, the principle of this method are as follows: then user behavior of the acquisition user in other multiple social platforms first will
The user behavior of the user in other multiple social platforms and the user behavior of the user in this social platform obtained into
Row merges；User behavior after merging is carried out to social sharing in this social platform；User can be obtained in multiple platforms
On social data, convenient for the accurate comprehensively true Social behaviors for showing user.
Wherein, some users may carry out identical Social behaviors on different platforms, and therefore, this method will be duplicate
Data are deleted, and other users is avoided to browse duplicate user behavior data, specifically: to the user behavior in social platform
Data are classified, and preliminary classification result is obtained；User behavior data in each preliminary classification classification is subjected to similarity ratio
Compared with the user behavior data that similarity meets preset requirement is divided into similar subclass, similar son will be divided into
User behavior data in classification is divided into independent subclass；Then the user behavior data in similar subclass is compared
Compared with deleting the lesser user behavior data of data volume, only retain the maximum user behavior number of data volume in each similar subclass
According to；Finally the user behavior data of all subclass is merged.
Wherein, in the embodiment of the present application, the user behavior data of other social platforms is huge, this social platform
The internal data for obtaining other social platforms can not be had permission, therefore, this method devises can be in other social platforms
The social data that same subscriber is accurately obtained in disclosed data, then merges displaying, specifically: establish characteristic
Extract model, characteristic extracts model for extracting characteristic information in subscriber data, and characteristic information includes: head image information, close
Claim information, age information, hobby information, self-introduction information, birthday by information, beaching accommodation id information, history sprocket bit
Confidence breath；Characteristic can characterize the user behavior of user, then show that the data are phases when the characteristic of user is identical
It presents, then can be merged in different social platforms with user；
Subscriber data of the user in this social platform is obtained, model is extracted based on characteristic and subscriber data is obtained and used
Fisrt feature information of the family in this social platform；
It is connect with the Database of other social platforms, number of the model from other social platforms is extracted based on characteristic
According to corresponding characteristic information group is extracted in library respectively；
Fisrt feature information is matched with characteristic information group, matches the similar features letter of similarity meet demand
Breath；
Based on the corresponding similar users ID in other social platforms of similar features acquisition of information similar features information；
Based on similar users ID, user behavior of the similar users ID in corresponding social platform is obtained.It can be accurate
User behavior data of the user in other social platforms is obtained, convenient for accurately merging displaying, rather than gets it
His user's merges displaying.
Wherein, in the embodiment of the present application, when two characteristic informations carry out similarity-rough set, if any in characteristic information
5 kinds or 5 kinds or more of information is identical, then two characteristic information similarity meet demands.
Wherein, in the embodiment of the present application, the method also includes:
User behavior data after being merged；
User behavior data after merging is analyzed, obtain user behavior data in video data, image data,
Lteral data；
Video data, image data, lteral data publicity pattern are obtained respectively, and publicity pattern is that user oneself uploads or turns
Hair；
Video data, image data, lteral data the first minor sort of progress are incited somebody to action to obtain, the data that user oneself uploads are come
Before the data of forwarding；
Two minor sorts are carried out to the data after the first minor sort, video data, image data, lteral data is obtained and thumbs up
Number and number of reviews, based on thumbing up the descending sequence of number to video data, image data, the secondary row of lteral data
Sequence, if thumbing up, number is identical, and number of reviews is more, arrange it is forward, if thumb up number and number of reviews it is all the same if arrange it is random
Front and back sequence；
It is based on two minor sorts as a result, the user behavior data after sequence is shown in this social platform.
Wherein, the behavioral data of user has very much, but is much to social nonsensical or secondary data, we
Method can be therefrom ranked up, and preferential merging shows that the critical data that can represent user behavior is shown, convenient for accurate
Show the behavior of user, it is social convenient for accurately carrying out.
Wherein, in the embodiment of the present application, the user behavior data after being merged；
User behavior data after merging is analyzed, obtain user behavior data in video data, image data,
Lteral data；
The video data of acquisition, image data, lteral data are analyzed, video data, image data, text are obtained
The corresponding keyword of data matches keyword with video data, image data, lteral data；
When user A clicks the social interface of user B in this social platform, based on user A selection keyword, to
User behavior data disclosed in the B of family is preferentially ranked up according to keyword.
Wherein, this method can also show that content is ranked up to merging, and can be come according to the hobby of user, such as keyword
It is ranked up, fast and accurately searches out the user behavior data for oneself wanting to see from user behavior data convenient for user.
Wherein, in the embodiment of the present application, when user operates in social platform, social platform obtains user's
User behavior data, and the user behavior data of acquisition is showed into user, and provided for user and allow this user behavior
Data merge the option for showing and this user behavior data not being allowed to merge displaying；
Operation is marked for this user behavior data in selection based on user, if allowing to merge displaying
Data are then labeled as 1, are then labeled as 2 if the data for not allowing to merge displaying；
The user's mark in other multiple social platforms that will acquire be 1 user behavior and this social platform on should
The user behavior that user's mark is 1 merges.
Wherein, in the embodiment of the present application, this method also provides privacy selection for user, if user is on workbench
User behavior data do not need to be merged into social platform, then user can be marked, and avoid being merged, meet user
Individual demand.
Wherein, in the embodiment of the present application, the method also includes:
User behavior data after being merged；
User behavior data after merging is analyzed, obtain user behavior data in video data, image data,
Lteral data；
Video data, image data, lteral data publicity pattern are obtained respectively, and publicity pattern is that user oneself uploads or turns
Hair；
Video data, image data, lteral data the first minor sort of progress are incited somebody to action to obtain, the data that user oneself uploads are come
Before the data of forwarding；
Two minor sorts are carried out to the data after the first minor sort, video data, the image that comment is participated in user or is thumbed up
Data, lteral data carry out priority ordering.
Wherein, in the embodiment of the present application, user can add permission list in social platform, by the user after merging
After behavior carries out social sharing in this social platform, other users can carry out corresponding according to the permission of member in permission list
It checks.
Although preferred embodiments of the present invention have been described, it is created once a person skilled in the art knows basic
Property concept, then additional changes and modifications may be made to these embodiments.So it includes excellent that the following claims are intended to be interpreted as
It selects embodiment and falls into all change and modification of the scope of the invention.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
Mind and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (8)
1. merging the method for showing social sharing information based on user behavior, which is characterized in that the described method includes:
Obtain user behavior of the user in other multiple social platforms, the user in other multiple social platforms that will acquire
User behavior and this social platform on the user behavior of the user merge；
User behavior after merging is carried out to social sharing in this social platform；
Wherein, user behavior is merged and is specifically included:
Classify to the user behavior data in social platform, obtains preliminary classification result；
User behavior data in each preliminary classification classification is subjected to similarity-rough set, similarity is met to the use of preset requirement
Family behavioral data is divided into similar subclass, and the user behavior data not being divided into similar subclass is divided into solely
In vertical subclass；
User behavior data in similar subclass is compared, the lesser user behavior data of data volume, Mei Gexiang are deleted
Like only retaining the maximum user behavior data of data volume in subclass；
The user behavior data of all subclass is merged.
2. according to claim 1 merge the method for showing social sharing information based on user behavior, which is characterized in that obtain
User behavior of the family in other multiple social platforms is taken to specifically include:
It establishes characteristic and extracts model, characteristic extracts model for extracting characteristic information in subscriber data, characteristic information
It include: head image information, nickname information, age information, hobby information, self-introduction information, birthday by information, beaching accommodation ID
Information, history positioning position information；
Subscriber data of the user in this social platform is obtained, model is extracted based on characteristic and subscriber data obtains user and exists
The fisrt feature information of this social platform；
It is connect with the Database of other social platforms, database of the model from other social platforms is extracted based on characteristic
It is middle to extract corresponding characteristic information group respectively；
Fisrt feature information is matched with characteristic information group, matches the similar features information of similarity meet demand；
Based on the corresponding similar users ID in other social platforms of similar features acquisition of information similar features information；
Based on similar users ID, user behavior of the similar users ID in corresponding social platform is obtained.
3. according to claim 2 merge the method for showing social sharing information based on user behavior, which is characterized in that when
When two characteristic informations carry out similarity-rough set, if any 5 kinds or 5 kinds or more of information is identical in characteristic information, two spies
Reference ceases similarity meet demand.
4. according to claim 1 merge the method for showing social sharing information based on user behavior, which is characterized in that institute
State method further include:
User behavior data after being merged；
User behavior data after merging is analyzed, video data, image data, text in acquisition user behavior data
Data；
Video data, image data, lteral data publicity pattern are obtained respectively, and publicity pattern is that user oneself uploads or forwards；
Video data, image data, lteral data the first minor sort of progress are incited somebody to action to obtain, the data that user oneself uploads are come into forwarding
Data before；
Two minor sorts are carried out to the data after the first minor sort, video data, image data, lteral data is obtained and thumbs up number
And number of reviews, based on thumbing up the descending sequence of number to video data, image data, two minor sort of lteral data, if
It is identical to thumb up number, then number of reviews is more, arrange it is forward, if thumb up number and number of reviews it is all the same if arrange random front and back
Sequence；
It is based on two minor sorts as a result, the user behavior data after sequence is shown in this social platform.
5. according to claim 1 merge the method for showing social sharing information based on user behavior, which is characterized in that
User behavior data after being merged；
User behavior data after merging is analyzed, video data, image data, text in acquisition user behavior data
Data；
The video data of acquisition, image data, lteral data are analyzed, video data, image data, lteral data are obtained
Corresponding keyword matches keyword with video data, image data, lteral data；
When user A clicks the social interface of user B in this social platform, based on the keyword of user A selection, to user B
Disclosed user behavior data is preferentially ranked up according to keyword.
6. according to claim 1 merge the method for showing social sharing information based on user behavior, which is characterized in that when
For user when operating in social platform, social platform obtains the user behavior data of user, and by user's row of acquisition
User is showed for data, and providing for user allows this user behavior data to merge displaying and do not allow this user
Behavioral data merges the option of displaying；
Operation is marked for this user behavior data, if the data for allowing to merge displaying in selection based on user
It is then labeled as 1, is then labeled as 2 if the data for not allowing to merge displaying；
The user's mark in other multiple social platforms that will acquire is the user in 1 user behavior and this social platform
It is merged labeled as 1 user behavior.
7. according to claim 1 merge the method for showing social sharing information based on user behavior, which is characterized in that institute
State method further include:
User behavior data after being merged；
User behavior data after merging is analyzed, video data, image data, text in acquisition user behavior data
Data；
Video data, image data, lteral data publicity pattern are obtained respectively, and publicity pattern is that user oneself uploads or forwards；
Video data, image data, lteral data the first minor sort of progress are incited somebody to action to obtain, the data that user oneself uploads are come into forwarding
Data before；
To after the first minor sort data carry out two minor sorts, to user participate in comment or thumb up video data, image data,
Lteral data carries out priority ordering.
8. according to claim 1 merge the method for showing social sharing information based on user behavior, which is characterized in that use
Family can add permission list in social platform, and the user behavior after merging is carried out to social sharing in this social platform
Afterwards, other users can be checked accordingly according to the permission of member in permission list.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810871000.7A CN109063130B (en) | 2018-08-02 | 2018-08-02 | Method for merging and displaying social sharing information based on user behaviors |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810871000.7A CN109063130B (en) | 2018-08-02 | 2018-08-02 | Method for merging and displaying social sharing information based on user behaviors |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109063130A true CN109063130A (en) | 2018-12-21 |
| CN109063130B CN109063130B (en) | 2021-09-03 |
Family
ID=64832627
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810871000.7A Active CN109063130B (en) | 2018-08-02 | 2018-08-02 | Method for merging and displaying social sharing information based on user behaviors |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109063130B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111353001A (en) * | 2018-12-24 | 2020-06-30 | 杭州海康威视数字技术股份有限公司 | Method and device for classifying users |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101901252A (en) * | 2010-06-23 | 2010-12-01 | 中兴通讯股份有限公司 | Method for integrating same user data on multiple websites and integration platform |
| CN101916274A (en) * | 2010-08-11 | 2010-12-15 | 魏新成 | Method and system for polymerization display of LinkUGC (User Generated Content) |
| CN103632294A (en) * | 2013-12-20 | 2014-03-12 | 互动通天图信息技术有限公司 | Method for integrating user data based on media and third-party data platform |
| US20150039539A1 (en) * | 2013-08-02 | 2015-02-05 | Telefonaktiebolaget L M Ericsson (Publ) | Method and Apparatus For Propagating User Preference Information in a Communications Network |
| CN104361502A (en) * | 2014-04-24 | 2015-02-18 | 科技谷（厦门）信息技术有限公司 | Analysis method of passenger behavior data |
| CN105450507A (en) * | 2015-12-02 | 2016-03-30 | 小米科技有限责任公司 | Method and device for sharing information in social network |
| CN106897937A (en) * | 2017-02-15 | 2017-06-27 | 北京小米移动软件有限公司 | A kind of method and apparatus for showing social sharing information |
-
2018
- 2018-08-02 CN CN201810871000.7A patent/CN109063130B/en active Active
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101901252A (en) * | 2010-06-23 | 2010-12-01 | 中兴通讯股份有限公司 | Method for integrating same user data on multiple websites and integration platform |
| CN101916274A (en) * | 2010-08-11 | 2010-12-15 | 魏新成 | Method and system for polymerization display of LinkUGC (User Generated Content) |
| US20150039539A1 (en) * | 2013-08-02 | 2015-02-05 | Telefonaktiebolaget L M Ericsson (Publ) | Method and Apparatus For Propagating User Preference Information in a Communications Network |
| CN103632294A (en) * | 2013-12-20 | 2014-03-12 | 互动通天图信息技术有限公司 | Method for integrating user data based on media and third-party data platform |
| CN104361502A (en) * | 2014-04-24 | 2015-02-18 | 科技谷（厦门）信息技术有限公司 | Analysis method of passenger behavior data |
| CN105450507A (en) * | 2015-12-02 | 2016-03-30 | 小米科技有限责任公司 | Method and device for sharing information in social network |
| CN106897937A (en) * | 2017-02-15 | 2017-06-27 | 北京小米移动软件有限公司 | A kind of method and apparatus for showing social sharing information |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111353001A (en) * | 2018-12-24 | 2020-06-30 | 杭州海康威视数字技术股份有限公司 | Method and device for classifying users |
| WO2020135420A1 (en) * | 2018-12-24 | 2020-07-02 | 杭州海康威视数字技术股份有限公司 | Method and apparatus for classifying users |
| CN111353001B (en) * | 2018-12-24 | 2023-08-18 | 杭州海康威视数字技术股份有限公司 | Method and device for classifying users |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109063130B (en) | 2021-09-03 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11146520B2 (en) | Sharing images and image albums over a communication network | |
| US10402917B2 (en) | Color-related social networking recommendations using affiliated colors | |
| US10726081B2 (en) | Systems and methods of matching style attributes | |
| CN103377258B (en) | Method and apparatus for carrying out classification display to micro-blog information | |
| Zhang et al. | Hotel recommendation based on user preference analysis | |
| Loni et al. | Fashion 10000: an enriched social image dataset for fashion and clothing | |
| CN104283842B (en) | Subject Manager method and system | |
| Kairam et al. | Snap decisions? How users, content, and aesthetics interact to shape photo sharing behaviors | |
| US11907282B2 (en) | Method, apparatus, system, and non-transitory computer readable medium for performing image search verification using an online platform | |
| Daraghmi et al. | We are so close, less than 4 degrees separating you and me! | |
| CN105103181A (en) | Persona chooser | |
| CN106445977A (en) | Picture pushing method and device | |
| CN112989169A (en) | Target object identification method, information recommendation method, device, equipment and medium | |
| CN103842997A (en) | Searching for and creating an adaptive content | |
| CN109063130A (en) | Merge the method for showing social sharing information based on user behavior | |
| Larson et al. | Using crowdsourcing to capture complexity in human interpretations of multimedia content | |
| Jamjuntra et al. | Social network user identification | |
| KR20220015875A (en) | Apparatus for providing photo content sharing service that provides photo room chat service | |
| US20140095465A1 (en) | Method and apparatus for determining rank of web pages based upon past content portion selections | |
| CN107222398A (en) | social message control method, device, storage medium and computer equipment | |
| US20170149719A1 (en) | Method for providing social network service with dual accounts of interest and identification | |
| Gomes et al. | Measuring media-based social interactions provided by smartphone applications in social networks | |
| JP6879407B1 (en) | Information processing system and information processing method | |
| Choeh et al. | Mobile push personalization and user experience | |
| KR20220015871A (en) | Apparatus for providing photo room photo content sharing service by face recognition in photo and address book mapping |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20200805 Address after: 510000 room 711, floor 7, No. 733 (1), Dongfeng East Road, Yuexiu District, Guangzhou City, Guangdong Province (only for office use) Applicant after: GUANGZHOU TENTCOO SOFTWARE TECHNOLOGY Co.,Ltd. Address before: 510000 Guangdong Guangzhou Haizhuqu District Xingang East Road 1000 1103, 1104, 1105, 1106 rooms Applicant before: GUANGZHOU YOUMI TECHNOLOGY Co.,Ltd. |
|
| TA01 | Transfer of patent application right | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |