CN103164705A - People encircled method and device based on social networking services (SNS) - Google Patents
People encircled method and device based on social networking services (SNS) Download PDFInfo
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- CN103164705A CN103164705A CN2011104148447A CN201110414844A CN103164705A CN 103164705 A CN103164705 A CN 103164705A CN 2011104148447 A CN2011104148447 A CN 2011104148447A CN 201110414844 A CN201110414844 A CN 201110414844A CN 103164705 A CN103164705 A CN 103164705A
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Abstract
The invention discloses a people encircled method and a device based on social networking services (SNS). The method comprises the steps of loading a human face recognizer, detecting human face parts in once uploading photos of a user in a batch mode, generating independent human face pictures and displaying the pictures; and identifying and storing people encircled information by the user according to the displayed human face pictures. When the people encircled method and the device based on the SNS are used, the complexity of user operation can be lowered, and the precision of human face identification is improved.
Description
Technical field
The present invention relates to face recognition technology, particularly a kind of circle people method and device based on social networks (SNS, Social Networking Services).
Background technology
Lifting along with the universal and network bandwidth of network SNS community, the user is in the SNS community, usually with own and good friend's photo upload, share with other users, and the circle people function of utilizing the SNS community software to provide, choose the people face part that best embodies character features, as the picture of sharing with other users, like this, can effectively reduce the data volume of Internet Transmission, can make again other users of browsing pictures more can intuitively obtain the characteristic information of picture, thereby promote user's business experience.Specifically, by circle people function is set in the SNS community software, the user is after upload pictures, start circle people function, and according to the prompting operation of showing, the face characteristic part in the artificial selection photo is got up the face characteristic circle segment in photo, then, generate new picture and issue irising out the people's face that comes.
But existing circle people method needs the face characteristic in user's comparison film partly to carry out technosphere's choosing, and operation is comparatively complicated; Further, the face characteristic part is chosen in the perception of the method User of technosphere choosing, may comprise non-face characteristic in the picture of generation or face characteristic is partly chosen infull situation, and precision is lower; And, for circle people function percentage of intelligibility not or be unfamiliar with the new user of operating process, easily cause maloperation, increased the operational ton of circle people feature operation, reduced user's cognition degree.
Summary of the invention
In view of this, fundamental purpose of the present invention is to propose a kind of circle people method based on social networks, reduces user's operation complexity, improves the recognition of face precision.
Another object of the present invention is to propose a kind of circle people device based on social networks, reduce user's operation complexity, improve the recognition of face precision.
For achieving the above object, the invention provides a kind of circle people method based on social networks, the method comprises: recognition of face device, people's face picture maker and circle people arrange device, wherein,
The recognition of face device, the people face part in upload pictures of batch detection user partly exports the face characteristic that identifies to people's face picture maker;
People's face picture maker, the face characteristic of exporting according to the recognition of face device partly generates people's face picture and shows;
The circle people arranges device, also preserves according to people's face picture identification circle people information that people's face picture maker is showed.
Further comprise:
Broadcasting equipment, the circle people information exchange that the circle people is arranged device sign is crossed circle people sound and is showed in user's buddy list.
Described recognition of face device adopts Haar feature extractor and the iterative algorithm cascade classifier that sets in advance in the computer vision storehouse of increasing income.
Described recognition of face device comprises: gray scale processing module, search window module and face recognition module, wherein,
The gray scale processing module is carried out gray processing to upload pictures and is processed, and forms the picture of GTG;
The search window module is used for the GTG picture of gray scale processing module output is carried out traversal search successively, and the picture region in this search window exports face recognition module to during with each traversal search;
Face recognition module, the picture that the search window module is exported carries out recognition of face, if be identified as non-face feature, notice search window module is carried out next traversal search; If be identified as face characteristic, export people's face picture maker to.
Described recognition of face device further comprises:
Filtering module receives the face characteristic that face recognition module is exported, and filters nested or overlapping face characteristic, then filters the color characteristic in face characteristic zone, exports people's face picture maker to.
In people's face picture of showing, sign has retrtieval frame control, described circle people that device is set to be further used for monitoring the retrtieval frame control that the user clicks displaying, to trigger pulling user's buddy list; Receive good friend's name that the user chooses from the user's buddy list that pulls, be input in the retrtieval frame.
A kind of circle people method based on social networks, the method comprises:
Load the recognition of face device, the people face part in upload pictures of batch detection user generates independently people's face picture and displaying;
According to people's face picture identification circle people information of showing and preservation.
Further comprise:
The circle people information exchange of sign is crossed circle people sound to be showed in user's buddy list.
Face characteristic in described identification user upload pictures partly comprises:
Obtain upload pictures, upload pictures is carried out gray processing process, form the picture of GTG;
According to the search window that sets in advance, the GTG picture is carried out traversal search successively, and the picture region in this search window is carried out recognition of face during with each traversal search, obtains the face characteristic part.
In people's face picture of showing, sign has retrtieval frame control, and described people's face picture identification circle people information according to showing comprises:
Monitor the retrtieval frame control that the user clicks displaying, trigger pulling user's buddy list;
Receive good friend's name that the user chooses from the user's buddy list that pulls, be input in the retrtieval frame.
The search window that described basis sets in advance carries out traversal search successively to the GTG picture, and the picture region in this search window is carried out recognition of face during with each traversal search, obtains face characteristic and partly comprises:
The initialization search window size;
Determine that search window size is less than the search window size threshold value that sets in advance;
Initialized search window is positioned over the initial position that sets in advance in picture;
Judge whether the search window position has reached the final position that sets in advance in picture, if, search window is amplified according to the enlargement factor that sets in advance, return to carry out and determine that search window size is less than the step of the search window size threshold value that sets in advance; If not, the picture in search window being sent into the recognition of face device identifies;
If be identified as non-face feature, search window is moved to the next position, return to carry out and determine that search window size is less than the step of the search window size threshold value that sets in advance;
If be identified as face characteristic, with current size and the position of using window, preserve as the position rectangle of people's face, and search window is moved to the next position, return to carry out and determine that search window size is less than the step of the search window size threshold value that sets in advance.
As seen from the above technical solutions, a kind of circle people method and device based on social networks that the embodiment of the present invention provides load the recognition of face device, identify successively the face characteristic part in user's upload pictures, generate people's face picture and show; According to people's face picture identification circle people information of showing and preservation.Like this, go out face characteristic part in photo by introduce Automatic face recognition technology batch identification in myspace, help the user to carry out the operation from the moving-coil people in the photo of uploading, reduced user's operation complexity, improved the recognition of face precision.
Description of drawings
Fig. 1 is the circle people method flow schematic diagram based on social networks of the embodiment of the present invention.
Fig. 2 is people's face picture schematic diagram that the embodiment of the present invention is showed.
Fig. 3 is the schematic diagram of embodiment of the present invention deletion people face picture.
Fig. 4 is the schematic flow sheet of the face characteristic part in embodiment of the present invention identification user upload pictures.
Fig. 5 is the schematic diagram that the embodiment of the present invention is chosen good friend's name.
Fig. 6 is the page displaying schematic diagram after the embodiment of the present invention is chosen good friend's name.
Fig. 7 is embodiment of the present invention circle people information display schematic diagram.
Fig. 8 is the circle people apparatus structure schematic diagram based on social networks of the embodiment of the present invention.
Embodiment
For making the purpose, technical solutions and advantages of the present invention clearer, the present invention is described in further detail below in conjunction with the accompanying drawings and the specific embodiments.
Along with computer automation, intelligentized development, recognition of face is as an importance of living things feature recognition, be widely used in fields such as safe access control, video monitoring, tracking and location, thereby existing face recognition technology provides technical conditions for the SNS community service application in instant messaging.In the embodiment of the present invention, people's face in upload pictures is carried out the technosphere select the complex operations of existence and circle to select the lower technical matters of precision for existing, by introducing the recognition of face that is used for the circle people in the SNS community in upload pictures at the face recognition technology that use in the fields such as safe access control, video monitoring, tracking and location, make after user's upload pictures, can automatically identify and calibrate the position (characteristic) of people's face in photo by the recognition of face strategy, and partly generate new picture according to the face characteristic that calibrates; Further, after generating new picture, can also guide the user to carry out mark to new picture, and after clicking confirmation, to in this page, all enclose picture that the people operates generation and respective markers and carry out batch and preserve, thereby help the user to complete circle people operation with stronger guided bone.And, can also on the basis that promotes circle people amount, also be promoted the experience that the user encloses people's function by the information of circle good friend upload pictures by informing.
Fig. 1 is the circle people method flow schematic diagram based on social networks of the embodiment of the present invention.Referring to Fig. 1, this flow process comprises:
In this step, by loading the recognition of face device, the people face part in upload pictures of batch detection user generates independently people's face picture and displaying.Adopt the recognition of face device computer vision storehouse (OpenCV that increases income, Open Source Computer Vision Library) the Haar feature extractor that sets in advance in carries out the face characteristic Classification and Identification in conjunction with iterative algorithm Adboost cascade classifier, is the face characteristic zone in order to some picture region of identifying in photo.
In practical application, can directly use the Haar feature and the Adboost cascade classifier that train for people's face in advance in OPENCV, thereby need not to train again.By the photo input recognition of face device that will upload, the recognition of face device calls Haar feature extractor and the Adboost cascade classifier in OPENCV, the feature that comprises in extraction photo classification zone, mate with pre-stored face characteristic storehouse, to determine that whether feature in this specification area is as face characteristic.
Detailed processing procedure about Haar feature extractor and Adboost cascade classifier comparison film in OPENCV and employing OpenCV carry out tagsort identification specifically can referring to the correlation technique document, not repeat them here.
Fig. 2 is people's face picture schematic diagram that the embodiment of the present invention is showed.Referring to Fig. 2, the user is in the upload pictures success and after having edited photo and describing, for example, and for every photo arranges the sign linked text box, have the photo of people's face to pull out separately in the photo that the recognition of face device can be uploaded this, and the head portrait in comparison film is done independent displaying.
The user can delete the one or two people's face information that displays.As shown in Figure 3, Fig. 3 is the schematic diagram of embodiment of the present invention deletion people face picture, shows the deletion control by mouse being moved to people's face picture upper right corner, triggering, and clicks the deletion control in the people's face picture upper right corner of showing, thereby deletes this people's face picture.
Fig. 4 is the schematic flow sheet of the face characteristic part in embodiment of the present invention identification user upload pictures.Referring to Fig. 4, this flow process comprises:
In this step, by starting and loading the recognition of face device, the photo of uploading is imported in the recognition of face device, the recognition of face device is by calling Haar feature extractor and the Adboost cascade classifier in OPENCV, and comparison film carries out recognition of face to be processed.
In this step, all photos of uploading are converted to the picture of GTG.
In this step, by minimum dimension and the full-size that search window is set, can guarantee follow-up precision of carrying out recognition of face: if the feature of the picture in minimum search window does not satisfy face characteristic, show that the picture in this search window is not people's face; If the feature of the picture in minimum search window satisfies face characteristic, can further expand search window size.
Certainly, in practical application, also can adopt the search window of fixed measure.
Whether step 204 judges search window size greater than the search window size threshold value that sets in advance, if so, and execution in step 211, otherwise, execution in step 205;
Step 205 is positioned over initialized search window the initial position that sets in advance in picture;
In this step, the position that sets in advance is the follow-up initial position that travels through.For example, initialized search window is positioned over the upper left corner of picture, thereby realizes the initialization of search window position.
Step 206 judges whether the search window position has reached the final position that sets in advance in picture, if so, and execution in step 207, otherwise, execution in step 208;
In this step, when the search window position reached the final position that sets in advance in picture, for example, the lower right corner of picture showed that search window has traveled through this photo.
Step 207 is amplified search window according to the enlargement factor that sets in advance;
In this step, be that life size multiply by a change rate a with the size change over of search window, for example, a=1.1.
Step 208 is sent the picture in search window into the recognition of face device and is identified, if be identified as non-face feature, and execution in step 209, if be identified as face characteristic, execution in step 210;
In this step, the recognition of face device identifies the picture behaviour face of input, execution in step 210; If be not people's face, abandon the picture in this search window, execution in step 209.
Step 209 moves to the next position with search window, returns to execution in step 206;
Step 210 with current size and the position of using window, is preserved as the position rectangle of people's face, returns to execution in step 209;
In this step, if the recognition of face device identifies the picture behaviour face of input, the width and the position that show the current search window are a face characteristic, be stored as the face characteristic of filtration to be optimized, after storage is complete, search window is moved to the next position of picture according to the strategy that sets in advance, then the picture in the inputted search window is sent into the recognition of face device and identify, so circulation is until travel through complete picture.
Step 211 from the face characteristic of filtration to be optimized of storage, is filtered nested or overlapping face characteristic;
Step 212 is filtered the color characteristic in face characteristic zone;
In this step, filtering out color is not obviously people's face undetermined of people's face, thereby obtains the picture region with face characteristic part.Flow process about the color characteristic that filters nested or overlapping face characteristic and face characteristic zone specifically can referring to the correlation technique document, not repeat them here.
In practical application, also can replace with searching algorithm arbitrarily, for example judge first that color goes to judge the picture region with after color filtering again.
In this step, the user has the photo of people's face to pull out separately in the upload pictures success and after having edited photo and describing in the photo that the page can be uploaded this, and the head portrait in comparison film does independent displaying, in order to carry out more application.
Further, the user can also delete the people's face picture that identifies.
Preferably, people's face picture of displaying carries retrtieval frame control, the link information of respective user buddy list.Be that the user clicks retrtieval frame control, trigger the user's buddy list that ejects the corresponding link of retrtieval frame control.Like this, can further facilitate the user and enclose people's setting.
Like this, automatically identify and calibrate face characteristic part in photo by introducing the recognition of face device, and partly generate new picture according to the face characteristic that calibrates, need not the user and carry out technosphere's choosing, reduced operation complexity; Further, the recognition of face device automatically in comparison film face characteristic identify, can not cause maloperation, make the whole face characteristic parts of bag in the picture of generation, precision is high, has effectively improved the cognition degree of user for the circle people.
Step 102 arranges circle people's information and preserves according to people's face picture of showing.
In this step, the user clicks the retrtieval frame control of people's face picture below of displaying, triggers pulling user's buddy list, the user can from the user's buddy list that pulls, choose good friend's name, the input marking Input, after clicking preservation, complete the circle people operation of sign circle people information.
Fig. 5 is the schematic diagram that the embodiment of the present invention is chosen good friend's name.Referring to Fig. 5, the user clicks the linked text box of people's face picture, triggers and pulls user's buddy list, and the user chooses good friend's name corresponding to people's face picture, input text frame from the user's buddy list that pulls.
Fig. 6 is the page displaying schematic diagram after the embodiment of the present invention is chosen good friend's name.Referring to Fig. 6, in the text box below people's face picture, show good friend's name that the user chooses.
Further, also comprise:
Step 103 is crossed circle people sound with the circle people information exchange that arranges and is showed in user's buddy list.
In this step, after preserving circle people information, will enclose people's information exchange and cross circle people sound and show in user's buddy list.For example, show in circle people sound: Wang Yang has been enclosed out by Yang Xue in photo and has waited.
Fig. 7 is embodiment of the present invention circle people information display schematic diagram.Referring to Fig. 7, showing has text message and corresponding upload pictures and people's face picture of irising out, and for example, text message can be that Wang Yang has been enclosed out by Yang Xue in photo, and, Yang Xue: upload pictures.
Fig. 8 is the circle people apparatus structure schematic diagram based on social networks of the embodiment of the present invention.Referring to Fig. 8, this device comprises: recognition of face device, people's face picture maker and circle people arrange device, wherein,
The recognition of face device is identified the face characteristic part in user's upload pictures successively, partly exports the face characteristic that identifies to people's face picture maker;
People's face picture maker, the face characteristic of exporting according to the recognition of face device partly generates people's face picture and shows;
The circle people arranges device, also preserves according to people's face picture identification circle people information that people's face picture maker is showed.
Preferably, this device further comprises:
Broadcasting equipment, the circle people information exchange that the circle people is arranged device sign is crossed circle people sound and is showed in user's buddy list.
Wherein,
The recognition of face device comprises: gray scale processing module, search window module and face recognition module (not shown), wherein,
The gray scale processing module is carried out gray processing to upload pictures and is processed, and forms the picture of GTG;
The search window module is used for the GTG picture of gray scale processing module output is carried out traversal search successively, and the picture region in this search window exports face recognition module to during with each traversal search;
Face recognition module, the picture that the search window module is exported carries out recognition of face, if be identified as non-face feature, notice search window module is carried out next traversal search; If be identified as face characteristic, export people's face picture maker to.
Preferably, the recognition of face device also comprises:
Filtering module receives the face characteristic that face recognition module is exported, and filters nested or overlapping face characteristic, then filters the color characteristic in face characteristic zone, exports people's face picture maker to.
By as seen above-mentioned, circle people method and the device based on social networks of the embodiment of the present invention, by introduce the Automatic face recognition technology in myspace, the user is after upload pictures, and recognition of face device batch identification goes out the face characteristic part in photo, and the guiding user carries out the batch mark, help the user to carry out operating from the moving-coil people in the photo of uploading, reduced user's operation complexity, improved the recognition of face precision, made the circle people become more accurate; Further, by the automatic identification to the face characteristic part, given prominence to face characteristic information, increased user's experience, also made people's face picture with respect to original photo, what comprise contains much information as reducing, effectively saved and transmitted required resource, can propagate in the community better.
The above is only preferred embodiment of the present invention, is not for limiting protection scope of the present invention.Within the spirit and principles in the present invention all, any modification of doing, be equal to and replace and improvement etc., within all should being included in protection scope of the present invention.
Claims (11)
1. the circle people device based on social networks, is characterized in that, this device comprises: recognition of face device, people's face picture maker and circle people arrange device, wherein,
The recognition of face device, the people face part in upload pictures of batch detection user partly exports the face characteristic that identifies to people's face picture maker;
People's face picture maker, the face characteristic of exporting according to the recognition of face device partly generates people's face picture and shows;
The circle people arranges device, also preserves according to people's face picture identification circle people information that people's face picture maker is showed.
2. device as claimed in claim 1, is characterized in that, further comprises:
Broadcasting equipment, the circle people information exchange that the circle people is arranged device sign is crossed circle people sound and is showed in user's buddy list.
3. device as claimed in claim 2, is characterized in that, described recognition of face device adopts Haar feature extractor and the iterative algorithm cascade classifier that sets in advance in the computer vision storehouse of increasing income.
4. device as claimed in claim 3, is characterized in that, described recognition of face device comprises: gray scale processing module, search window module and face recognition module, wherein,
The gray scale processing module is carried out gray processing to upload pictures and is processed, and forms the picture of GTG;
The search window module is used for the GTG picture of gray scale processing module output is carried out traversal search successively, and the picture region in this search window exports face recognition module to during with each traversal search;
Face recognition module, the picture that the search window module is exported carries out recognition of face, if be identified as non-face feature, notice search window module is carried out next traversal search; If be identified as face characteristic, export people's face picture maker to.
5. device as claimed in claim 4, is characterized in that, described recognition of face device further comprises:
Filtering module receives the face characteristic that face recognition module is exported, and filters nested or overlapping face characteristic, then filters the color characteristic in face characteristic zone, exports people's face picture maker to.
6. device as claimed in claim 5, is characterized in that, in people's face picture of displaying, sign has retrtieval frame control, described circle people that device is set to be further used for monitoring the retrtieval frame control that the user clicks displaying, triggers pulling user's buddy list; Receive good friend's name that the user chooses from the user's buddy list that pulls, be input in the retrtieval frame.
7. the circle people method based on social networks, is characterized in that, the method comprises:
Load the recognition of face device, the people face part in upload pictures of batch detection user generates independently people's face picture and displaying;
According to people's face picture identification circle people information of showing and preservation.
8. method as claimed in claim 7, is characterized in that, further comprises:
The circle people information exchange of sign is crossed circle people sound to be showed in user's buddy list.
9. method as claimed in claim 8, is characterized in that, the face characteristic in described identification user upload pictures partly comprises:
Obtain upload pictures, upload pictures is carried out gray processing process, form the picture of GTG;
According to the search window that sets in advance, the GTG picture is carried out traversal search successively, and the picture region in this search window is carried out recognition of face during with each traversal search, obtains the face characteristic part.
10. method as claimed in claim 9, is characterized in that, in people's face picture of displaying, sign has retrtieval frame control, and described people's face picture identification circle people information according to showing comprises:
Monitor the retrtieval frame control that the user clicks displaying, trigger pulling user's buddy list;
Receive good friend's name that the user chooses from the user's buddy list that pulls, be input in the retrtieval frame.
11. method as claimed in claim 9, it is characterized in that, the search window that described basis sets in advance carries out traversal search successively to the GTG picture, and the picture region in this search window is carried out recognition of face during with each traversal search, obtains face characteristic and partly comprises:
The initialization search window size;
Determine that search window size is less than the search window size threshold value that sets in advance;
Initialized search window is positioned over the initial position that sets in advance in picture;
Judge whether the search window position has reached the final position that sets in advance in picture, if, search window is amplified according to the enlargement factor that sets in advance, return to carry out and determine that search window size is less than the step of the search window size threshold value that sets in advance; If not, the picture in search window being sent into the recognition of face device identifies;
If be identified as non-face feature, search window is moved to the next position, return to carry out and determine that search window size is less than the step of the search window size threshold value that sets in advance;
If be identified as face characteristic, with current size and the position of using window, preserve as the position rectangle of people's face, and search window is moved to the next position, return to carry out and determine that search window size is less than the step of the search window size threshold value that sets in advance.
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105260487A (en) * | 2015-11-24 | 2016-01-20 | 上海斐讯数据通信技术有限公司 | Picture managing method and device |
| CN105302428A (en) * | 2014-07-29 | 2016-02-03 | 腾讯科技（深圳）有限公司 | Social network-based dynamic information display method and device |
| CN107562838A (en) * | 2017-08-24 | 2018-01-09 | 百度在线网络技术（北京）有限公司 | A kind of method and apparatus for image information collecting |
| CN107729889A (en) * | 2017-11-27 | 2018-02-23 | 广东欧珀移动通信有限公司 | Image processing method and device, electronic equipment, computer-readable recording medium |
| CN110033388A (en) * | 2019-03-06 | 2019-07-19 | 百度在线网络技术（北京）有限公司 | Method for building up, device and the server of social networks |
| WO2023045650A1 (en) * | 2021-09-24 | 2023-03-30 | 腾讯科技（深圳）有限公司 | Message display method and apparatus, computer device, storage medium, and program product |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101533520A (en) * | 2009-04-21 | 2009-09-16 | 腾讯数码（天津）有限公司 | Portrait marking method and device |
-
2011
- 2011-12-13 CN CN2011104148447A patent/CN103164705A/en active Pending
Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101533520A (en) * | 2009-04-21 | 2009-09-16 | 腾讯数码（天津）有限公司 | Portrait marking method and device |
Non-Patent Citations (1)
| Title |
|---|
| 春露: "关于圈人的二三事", 《电脑迷》, 30 September 2007 (2007-09-30), pages 92 * |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105302428A (en) * | 2014-07-29 | 2016-02-03 | 腾讯科技（深圳）有限公司 | Social network-based dynamic information display method and device |
| CN105302428B (en) * | 2014-07-29 | 2020-07-28 | 腾讯科技（深圳）有限公司 | Dynamic information display method and device based on social network |
| CN105260487A (en) * | 2015-11-24 | 2016-01-20 | 上海斐讯数据通信技术有限公司 | Picture managing method and device |
| CN107562838A (en) * | 2017-08-24 | 2018-01-09 | 百度在线网络技术（北京）有限公司 | A kind of method and apparatus for image information collecting |
| CN107729889A (en) * | 2017-11-27 | 2018-02-23 | 广东欧珀移动通信有限公司 | Image processing method and device, electronic equipment, computer-readable recording medium |
| CN107729889B (en) * | 2017-11-27 | 2020-01-24 | Oppo广东移动通信有限公司 | Image processing method and device, electronic equipment and computer readable storage medium |
| CN110033388A (en) * | 2019-03-06 | 2019-07-19 | 百度在线网络技术（北京）有限公司 | Method for building up, device and the server of social networks |
| CN110033388B (en) * | 2019-03-06 | 2022-07-08 | 百度在线网络技术（北京）有限公司 | Social relationship establishing method and device and server |
| WO2023045650A1 (en) * | 2021-09-24 | 2023-03-30 | 腾讯科技（深圳）有限公司 | Message display method and apparatus, computer device, storage medium, and program product |
| US11876771B2 (en) | 2021-09-24 | 2024-01-16 | Tencent Technology (Shenzhen) Company Ltd | Message display method and apparatus, computer device, storage medium, and program product |
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