CN104243276B - A kind of contact person recommends method and device - Google Patents
A kind of contact person recommends method and device Download PDFInfo
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- CN104243276B CN104243276B CN201310247425.8A CN201310247425A CN104243276B CN 104243276 B CN104243276 B CN 104243276B CN 201310247425 A CN201310247425 A CN 201310247425A CN 104243276 B CN104243276 B CN 104243276B
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Abstract
Recommend method the present invention relates to a kind of contact person, comprise the following steps：Obtaining step：When the contact person's recommendation request from client is received, the head portrait of user is obtained according to contact person's recommendation request；Search step：The information of one or more contact persons that search is matched with the head portrait of the user in information database；Recommendation step：The information for searching for the contact person for obtaining is returned into the client, so as to the contact person is recommended into user.The present invention also provides a kind of contact person's recommendation apparatus.The hunting zone of contact person can be expanded using the present invention, be conducive to the expansion of customer relationship chain.
Description
Technical field
The specific embodiment of the invention is related to network communication technology field, and more particularly to a kind of contact person recommends method and dress
Put.
Background technology
With the development of computer technology and network technology, the application of instant messaging class and social class application progressively incorporate
Arrive in daily life.In instant communication class application and social class application, addition contact person is a basic function,
User may search for out the contact by the pet name or account of the input contact person in instant communication class application and social class application
People simultaneously sends addition request.In the case where user does not actively search for contact person, the individual that system can also be set according to user
Automatic the searching out of information such as data, such as local, graduation universities and colleges, work unit associates between user with certain（For example it is same
Township, alumnus, colleague etc.）Contact person recommend user, or other contact persons of common contacts will be possessed recommend user
It is added.Although preferably, the hunting zone of contact person is restricted the way of recommendation practicality of this contact person, is unfavorable for
The expansion of customer relationship chain.
The content of the invention
In view of this, it is necessary to a kind of contact person is provided and recommends method and device, the hunting zone of contact person can be expanded,
Be conducive to the expansion of customer relationship chain.
A kind of contact person recommends method, comprises the following steps：Obtaining step：Pushed away when the contact person from client is received
When recommending request, the head portrait of user is obtained according to contact person's recommendation request；Search step：Search and the use in information database
The information of one or more contact persons of the head portrait matching at family；Recommendation step：The information return that the contact person for obtaining will be searched for should
Client, so as to the contact person is recommended into user.
A kind of contact person's recommendation apparatus, including：Acquisition module, recommends to ask for that ought receive the contact person from client
When asking, the head portrait of user is obtained according to contact person's recommendation request；Search module, for the search in information database and the use
The information of one or more contact persons of the head portrait matching at family；Recommending module, for the information for searching for the contact person for obtaining to be returned
The client is returned, so as to the contact person is recommended into user.
Compared to prior art, contact person of the present invention recommends method and device, is receiving the contact person from client
During recommendation request, the contact person matched with the head portrait of user is searched out from information database and recommends user, connection can be expanded
It is the hunting zone of people, is conducive to the expansion of customer relationship chain.
It is that above and other objects, features and advantages of the invention can be become apparent, preferred embodiment cited below particularly,
And coordinate institute's accompanying drawings, it is described in detail below.
Brief description of the drawings
Environment schematic when Fig. 1 is contact person's recommendation method application provided in an embodiment of the present invention.
The flow chart of contact person's recommendation method that Fig. 2 is provided for first embodiment of the invention.
Fig. 3 is the detail flowchart of step S2 in Fig. 2.
Fig. 4 is the exemplary plot that the information of recommended contact person is shown in client.
The flow chart of contact person's recommendation method that Fig. 5 is provided for second embodiment of the invention.
Fig. 6 is the exemplary plot that the information of recommended contact person is shown in client.
The flow chart of contact person's recommendation method that Fig. 7 is provided for third embodiment of the invention.
Fig. 8 is the exemplary plot that the information of recommended contact person is shown in client.
The block diagram of contact person's recommendation apparatus that Fig. 9 is provided for fourth embodiment of the invention.
The block diagram of contact person's recommendation apparatus that Figure 10 is provided for fifth embodiment of the invention.
The block diagram of contact person's recommendation apparatus that Figure 11 is provided for sixth embodiment of the invention.
Specific embodiment
Further to illustrate the present invention to realize technological means and effect that predetermined goal of the invention is taken, below in conjunction with
Accompanying drawing and preferred embodiment, to according to specific embodiment of the invention, structure, feature and its effect, describing in detail as after.
Refering to environment schematic when shown in Fig. 1, being contact person's recommendation method application provided in an embodiment of the present invention.At this
In embodiment, the contact person recommends method to be applied in server 1, and the server 1 carries out network and leads to by network 2 and terminal 3
Letter.Wherein, the server 1 can include one or more server, and certain server 1 can also be virtual cloud computing mould
Group.The instantiation of the terminal 3 includes but is not limited to desktop computer, portable computer, mobile phone, panel computer, individual
Digital assistants or other similar arithmetic units.The network 2 can be arbitrary internetwork connection mode, such as internet
（Internet）, mobile Internet（Such as 2G, 3G network that telecom operators provide）, LAN（It is wired or wireless）Deng.
First embodiment
Refering to shown in Fig. 2, first embodiment of the invention provides a kind of contact person and recommends method, and the contact person recommends method bag
Include following steps：
Step S1, when the contact person's recommendation request from client is received, obtains according to contact person's recommendation request
The head portrait of user；
Step S2, the information of one or more contact persons that search is matched with the head portrait of the user in information database；
Step S3, the client is returned by the information for searching for the contact person for obtaining, so as to the contact person is recommended into user.
Recommend method according to above-mentioned contact person, when the contact person's recommendation request from client is received, from information
The contact person matched with the head portrait of user is searched out in database and recommends user, the hunting zone of contact person can be expanded, had
Beneficial to the expansion of customer relationship chain.
In some instances, each step of the above method realizes that details is as follows：
Client described in step S1 is run in the terminal 3, the client for example can be QQ, Skype, wechat,
The client of the client, or Renren Network of the immediate communication tools such as Fetion, the social network sites such as net of being made friends with city.This is instant
Communication tool or social network sites are erected in server 1.
Generally, user is needed first to one login account of application of server 1, is used to by the accessing server by customer end 1.
The login account is, for example, user name, the pet name, password that system distribution or user are voluntarily set etc..When user uses the login account
After number login service device 1, the information that can carry out user in client is set, addition contact person and with the contact person for having added
The operation such as conversate.Etc. head portrait of the information of the user for example including the user, age, location, contact method.It is set
The information of the user for putting is uploaded to server 1, and is saved to the service provider of the immediate communication tool or social network sites in clothes
In the information database set up and safeguard in business device 1.
Described contact person（The un-added contact person of Buddhist monk has been added including the user）Should also be as the instant messaging work
Also warp-wise server 1 has applied for login account for the user of tool or social network sites, the i.e. contact person, can be by the IMU
The accessing server by customer end 1 of news instrument or social network sites.The head portrait of the information of each contact person, such as contact person, age, institute
In ground, contact method etc. are also reside on the information database.In the information database, the user is with each contact person's
Information will all be associated with respective login account.
Described contact person's recommendation request can be sent by client according to the operation of user, it is also possible to automatic by client
Send.For example, when user selects the option of " recommending contact persons " in the user interface of the client, the client is to clothes
Business device 1 sends contact person's recommendation request.Further for example, when user browses the contact person for having added in the user interface of client
When, client can send contact person's recommendation request and the recommended contact person of acquisition from trend server 1, promote user to enter
One step adds recommended contact person.
In an example, can include what the accessing server by customer end 1 was used in contact person's recommendation request
The login account.Therefore, step S1 can be obtained from described information database according to contact person's recommendation request and stepped on this
The information of the user of account relating is recorded, and the head portrait of user is further obtained from the information of the user.In the present embodiment, if
More than the shoulder of user to include the photo or image of face, then the head portrait of the user is defined as real head to the head portrait of user
Picture.But in order to show individual character or hobby, it is non-that user is also possible to upload such as cartoon figure, star's photo, scenery picture etc.
The photo or image of user as user head portrait, in the present embodiment the head portrait of this user be defined as false
Head portrait.
For the ease of subsequent treatment, step S1 will also enter one when the contact person's recommendation request from client is received
Step request user confirms whether the head portrait of the user is true.Specifically, server 1 can send a request user and confirm to be somebody's turn to do
Whether the real confirmation request of the head portrait of user to client is shown that then client receives user and is directed to the confirmation request
The confirmation of input, and the confirmation is back to server 1.If the confirmation reflects that the head portrait of the user is not true
Real, then step S1 will further send prompt message a to client and be shown, so that it is real to point out the user to upload
Head portrait.If the confirmation reflects that the head portrait of the user is true, the head portrait of the step S1 direct access user.
Refering to shown in Fig. 3, step S2 specifically includes following steps：
Step S210, the face in the head portrait of the user is recognized using face recognition technology, obtains face's number of the user
According to.The face recognition technology is the face feature based on people, and face is whether there is in detection image, further if it there is face
Detect face's numbers such as position, distance, size, the profile of each characteristic point of position, size, profile of face etc. and face
According to.Described characteristic point is, for example, major organs or the position of face, such as eyes, nose, face, eyebrow.
Step S211, recognizes the face in the head portrait of each contact person in the information database successively, obtains each contact
The face data of people.The face data data such as including the position of face and each characteristic point, size, profile.
Step S212, contrasts the face data of the user and each contact person successively, obtains the user and each contact person
Face's similarity.Face's similarity can reflect the user similarity overall with the face of respective contacts.For example, i.e.
Make the similarity of the user and each characteristic point of some contact person all not high, but the user and the contact person face's phase
It is high comparing to be also possible to like degree.If the user is very high with the similarity of certain characteristic point of some contact person, the user with
Face's similarity of the contact person is likely to not high.
Step S213, the first predetermined threshold value is reached from described information database by the face's similarity with the user（Example
Such as 80%）One or more contact persons search out to come as the contact person matched with the head portrait of the user, and by this
Or the information of multiple contact persons also searches out from the information database.
In step S3, after the information of the contact person that search is obtained is returned to client, can be with the shape of such as list
Formula shows side by side, or bubbling is displayed in the user interface of client in the form of occurring one by one, so as to the contact person be recommended
To user.Client can also only show a part of information of the contact person, for example, only show head portrait, the place of the contact person
The keynote messages such as ground, age to attract the attention of user, as shown in Figure 4.When the information of shown each contact person is checked, if
User to a certain contact person produce interest, then can to the contact person perform addition operation, after adding successfully, user can with
The contact person of addition conversates.
Second embodiment
In order to further expand the recommended range of contact person, the matching degree of recommended contact person and user's request is improved,
Refering to shown in Fig. 5, second embodiment of the invention provides a kind of contact person and recommends method, its contact person compared to first embodiment
Recommendation method, the step S2 also includes in addition to including the step S210 and step S211：
Step S222, contrasts the data of the user and specified characteristic point in the face data of each contact person successively, obtains
The similarity of the specific characteristic point of the user and each contact person.The specific characteristic point is, for example, the preassigned nose of user
The combination of one characteristic point such as son, eyes, face or multiple characteristic points.The similarity of the specific characteristic point only reflects user with phase
Contact person is answered in the similarity of the specific characteristic point, and can not reflect that the user is similar to face's entirety of respective contacts
Degree.
Step S223, from described information database the similarity with the specific characteristic of user point is reached into second presets
Threshold value（Such as 80%）One or more contact persons as the contact person matched with the head portrait of the user search out come, and
The information of one or more contact persons also is searched out from the information database.Search out contact person and the use come
Family is that for example nose areas are more similar in the specific characteristic point.
Correspondingly, after the step S3 will search for the information return client of the contact person for obtaining, as shown in fig. 6, objective
Family end can also show that the information of the contact person is checked for user, so as to select to add contact person therein.
In sum, the contact person of the present embodiment recommends method, can only by the connection similar to the specific characteristic of user point
Be that people recommends user, further expand the recommended range of contact person, and improve recommended contact person and user's request
With degree.
3rd embodiment
Recommended to enrich the species of recommended contact person, the recommended range of further expansion contact person, and improving
Contact person and user's request matching degree, refering to shown in Fig. 7, third embodiment of the invention proposes a kind of contact person recommendation side
Method, it recommends method compared to the contact person of first embodiment, and the step S2 is removed includes the step S210 and step S211
Outward, also include：
Step S232, contrasts the data of the user and each character pair point in the face data of each contact person successively, obtains
To the user and the similarity of each character pair point of each contact person, for example, respectively obtain the nose and contact person A of the user
The similarity of face of the similarity of nose, the face of the user and contact person A etc..
Step S233, from described information database the similarity with the character pair of user point is reached into the 3rd presets
Threshold value（Such as 80%）One or more contact persons as the contact person matched with the head portrait of user search out come, and will
The information of one or more contact persons also searches out from the information database.For example, contact person A and the nose of user
Similarity reaches 80%, and contact person B and the similarity of the face of user reach 80%, the similarity of contact person C and the eyes of user
80% is reached, then all searches out by the information of contact person A, contact person B and contact person C from information database.
Correspondingly, the step S3 can will search out the information of the contact person for coming according to the phase of contact person and the user
The characteristic point classification for reaching the 3rd predetermined threshold value like degree is back to client and is shown, so as to the contact categories be recommended
User.For example, the characteristic point for reaching the 3rd predetermined threshold value with the similarity of the user in each contact person has three classes, respectively eye
Eyeball, nose and face, then client can show the contact person that three classes are recommended, respectively similar to the eyes of user first
Class contact person, the Equations of The Second Kind contact person and to the face of user similar threeth class contact person similar to the nose of user, such as Fig. 8
It is shown.
In sum, the contact person of the present embodiment recommends method, can enrich the species of recommended contact person, further
Expand the recommended range of contact person, and improve the matching degree of recommended contact person and user's request.
Fourth embodiment
Refering to shown in Fig. 9, fourth embodiment of the invention provides a kind of contact person's recommendation apparatus 100, and it includes acquisition module
101st, search module 102 and recommending module 103.It is appreciated that above-mentioned each module refers to computer program or program segment, use
In certain one or more specific function of execution.Additionally, the differentiation of above-mentioned each module does not represent actual program code and must yet
Must be separate.
Acquisition module 101, for when the contact person's recommendation request from client is received, being recommended according to the contact person
The head portrait of acquisition request user.
Specifically, acquisition module 101 will also be asked further when the contact person's recommendation request from client is received
User is asked to confirm whether the head portrait of the user is true.If the head portrait of the user is untrue, acquisition module 101 is pointed out on the user
Pass real head portrait.If the head portrait of the user is true, acquisition module 101 obtains the head of user according to contact person's recommendation request
Picture.
Search module 102, one or more matched with the head portrait of the user for the search in information database are contacted
The information of people.The search module 102 specifically includes the identification contrast search submodule of submodule 111 and first of submodule 110, first
112。
The identification submodule 110, for the face in the head portrait that the user is recognized using face recognition technology, is somebody's turn to do
The face data of user, and the face in the head portrait of each contact person in the information database is recognized successively, obtain each connection
It is the face data of people.
The first contrast submodule 111, the face data for contrasting the user and each contact person successively is somebody's turn to do
User and face's similarity of each contact person.
The first search submodule 112, for reaching the face's similarity with the user from described information database
One or more contact persons to the first predetermined threshold value search out as the contact person matched with the head portrait of the user, and
The information of one or more contact persons also is searched out from the information database.
Recommending module 103, for the information for searching for the contact person for obtaining to be returned into the client, so as to the contact person be pushed away
Recommend to user.Specifically, client can check the presentation of information of the contact person for user on a user interface, if user
Interest is produced to a certain contact person, then addition operation can be performed to the contact person.
The specific work process of each module for more than, the contact person that can be provided with further reference to first embodiment of the invention
Recommendation method, is not repeated herein.
In sum, contact person's recommendation apparatus 100 of the present embodiment receive the contact person from client recommend please
When asking, the contact person matched with the head portrait of user is searched out from information database and recommends user, can expand contact person's
Hunting zone, is conducive to the expansion of customer relationship chain.
5th embodiment
Refering to shown in Figure 10, fifth embodiment of the invention provides a kind of contact person's recommendation apparatus 200, and it is real compared to the 4th
Apply contact person's recommendation apparatus 100 of example, the search module 102 in addition to including the identification submodule 110, also including second pair
Submodule 122 is searched for than submodule 121 and second.
The second contrast submodule 121, for being specified in the face data for contrasting the user and each contact person successively
The data of characteristic point, obtain the similarity of the user and the specific characteristic point of each contact person.The specific characteristic point is, for example,
The combination of one characteristic point such as the preassigned nose of user, eyes, face or multiple characteristic points.
It is described second search submodule 122, for from described information database by with the specific characteristic of user point
One or more contact persons that similarity reaches the second predetermined threshold value search as the contact person matched with the head portrait of the user
Rope out, and the information of one or more contact persons also is searched out from the information database.
The specific work process of each module for more than, the contact person that can be provided with further reference to second embodiment of the invention
Recommendation method, is not repeated herein.
In sum, contact person's recommendation apparatus 200 of the present embodiment can only will be similar to the specific characteristic of user point
Contact person recommends user, further expands the recommended range of contact person, and improve recommended contact person with user's request
Matching degree.
Sixth embodiment
Refering to shown in Figure 11, sixth embodiment of the invention provides a kind of contact person's recommendation apparatus 300, and it is real compared to the 4th
Apply contact person's recommendation apparatus 100 of example, the search module 102 in addition to including the identification submodule 110, also including the 3rd pair
Submodule 132 is searched for than submodule 131 and the 3rd.
The 3rd contrast submodule 131, it is each right in face data of the user with each contact person for contrasting successively
The data of characteristic point are answered, the similarity of the user and each character pair point of each contact person is obtained.
It is described 3rd search submodule 132, for from described information database by with the character pair of user point
One or more contact persons that similarity reaches the 3rd predetermined threshold value search for as the contact person matched with the head portrait of user
Out, and by the information of one or more contact persons also search out to come from the information database.
Correspondingly, the recommending module 103 can will search out the information of the contact person for coming according to contact person and the use
The characteristic point classification that the similarity at family reaches the 3rd predetermined threshold value is back to client and is shown, so as to by the contact categories
Recommend user.
The specific work process of each module for more than, the contact person that can be provided with further reference to third embodiment of the invention
Recommendation method, is not repeated herein.
In sum, contact person's recommendation apparatus 300 of the present embodiment can enrich the species of recommended contact person, enter one
Step expands the recommended range of contact person, and improves the matching degree of recommended contact person and user's request.
Additionally, the embodiment of the present invention also provides a kind of computer-readable recording medium, it is stored with computer and can perform
Instruction, above-mentioned computer-readable recording medium is, for example, nonvolatile memory such as CD, hard disk or flash memory.It is above-mentioned
Computer executable instructions be used to allowing computer or the similar arithmetic unit complete above-mentioned contact person's recommendation method
Various operations.
The above, is only presently preferred embodiments of the present invention, and any formal limitation is not made to the present invention, though
So the present invention is disclosed as above with preferred embodiment, but is not limited to the present invention, any those skilled in the art, not
Depart from the range of technical solution of the present invention, when making a little change using the technology contents of the disclosure above or be modified to equivalent change
The Equivalent embodiments of change, as long as being, without departing from technical solution of the present invention content, to implement to more than according to technical spirit of the invention
Any brief introduction modification, equivalent variations and modification that example is made, still fall within the range of technical solution of the present invention.
Claims (16)
1. a kind of contact person recommends method, it is characterised in that the method is comprised the following steps：
Obtaining step：When the contact person's recommendation request from client is received, obtained according to contact person's recommendation request and used
The head portrait at family；
Search step：The face in the head portrait of the user is recognized, the face data of the user is obtained；In information database successively
The face in the head portrait of each contact person is recognized, the face data of each contact person is obtained, search is matched with the head portrait of the user
One or more contact persons information；
Recommendation step：The information for searching for the contact person for obtaining is returned into the client, so as to the contact person is recommended into user.
2. contact person as claimed in claim 1 recommends method, it is characterised in that the obtaining step includes：
When the contact person's recommendation request from client is received, the user is asked to confirm whether the head portrait of the user is true；
If the head portrait of the user is untrue, the user is pointed out to upload real head portrait；
If the head portrait of the user is true, the head portrait of the user is obtained according to contact person's recommendation request.
3. contact person as claimed in claim 1 recommends method, it is characterised in that described information database includes being related
The information of people, the information of the contact person includes the head portrait of contact person.
4. contact person as claimed in claim 3 recommends method, it is characterised in that the search step also includes：
The face data of the user and each contact person is contrasted successively, obtains face's similarity of the user and each contact person；
The face's similarity with the user is reached into one or more of the first predetermined threshold value from described information database to contact
People searches out as the contact person matched with the head portrait of the user.
5. contact person as claimed in claim 3 recommends method, it is characterised in that the face data includes each characteristic point of face
Data.
6. contact person as claimed in claim 5 recommends method, it is characterised in that the search step also includes：
The data of the user and specified characteristic point in the face data of each contact person are contrasted successively, are obtained the user and are joined with each
It is the similarity of the specific characteristic point of people；
From described information database by the similarity with the specific characteristic of user point reach one of the second predetermined threshold value or
Multiple contact persons search out as the contact person matched with the head portrait of the user.
7. contact person as claimed in claim 5 recommends method, it is characterised in that the search step also includes：
Contrast the data of each character pair point in the face data of the user and each contact person successively, obtain the user and each
The similarity of each character pair point of contact person；
From described information database by the similarity with the character pair of user point reach one of the 3rd predetermined threshold value or
Multiple contact persons search out as the contact person matched with the head portrait of the user.
8. contact person as claimed in claim 7 recommends method, it is characterised in that the recommendation step also includes：
The information that the contact person for coming will be searched out reaches the spy of the 3rd predetermined threshold value according to the similarity of contact person and the user
Levy a classification and be back to client, so as to the contact categories are recommended into user.
9. a kind of contact person's recommendation apparatus, it is characterised in that the device includes：
Acquisition module, for when the contact person's recommendation request from client is received, being obtained according to contact person's recommendation request
Take the head portrait at family；
Search module, the letter of one or more contact persons matched with the head portrait of the user for the search in information database
Breath, the search module also includes identification submodule, is used for：The face in the head portrait of the user is recognized, the face of the user is obtained
Portion's data；The face in the head portrait of each contact person in the information database is recognized successively, obtains face's number of each contact person
According to；
Recommending module, for the information for searching for the contact person for obtaining to be returned into the client, so as to the contact person is recommended into use
Family.
10. contact person's recommendation apparatus as claimed in claim 9, it is characterised in that the acquisition module is used for：
When the contact person's recommendation request from client is received, the user is asked to confirm whether the head portrait of the user is true；
If the head portrait of the user is untrue, the user is pointed out to upload real head portrait；
If the head portrait of the user is true, the head portrait of the user is obtained according to contact person's recommendation request.
11. contact person's recommendation apparatus as claimed in claim 9, it is characterised in that described information database includes all
It is the information of people, the information of the contact person includes the head portrait of contact person.
12. contact person's recommendation apparatus as claimed in claim 11, it is characterised in that the search module also includes：
First contrast submodule, the face data for contrasting the user and each contact person successively, obtain the user and each
Face's similarity of contact person；
First search submodule, for the face's similarity with the user to be reached into the first default threshold from described information database
One or more contact persons of value search out as the contact person matched with the head portrait of the user.
13. contact person's recommendation apparatus as claimed in claim 11, it is characterised in that the face data includes each feature of face
The data of point.
14. contact person's recommendation apparatus as claimed in claim 13, it is characterised in that the search module also includes：
Second contrast submodule, the number for contrasting specified characteristic point in face data of the user with each contact person successively
According to obtaining the similarity of the specific characteristic point of the user and each contact person；
Second search submodule, for the similarity with the specific characteristic of user point to be reached into the from described information database
One or more contact persons of two predetermined threshold values search out as the contact person matched with the head portrait of the user.
15. contact person's recommendation apparatus as claimed in claim 13, it is characterised in that the search module also includes：
3rd contrast submodule, the number for contrasting each character pair point in face data of the user with each contact person successively
According to obtaining the similarity of each character pair point of the user and each contact person；
3rd search submodule, for the similarity with the character pair of user point to be reached into the from described information database
One or more contact persons of three predetermined threshold values search out as the contact person matched with the head portrait of the user.
16. contact person's recommendation apparatus as claimed in claim 15, it is characterised in that the recommending module is additionally operable to：
The information that the contact person for coming will be searched out reaches the spy of the 3rd predetermined threshold value according to the similarity of contact person and the user
Levy a classification and be back to client, so as to the contact categories are recommended into user.
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| CN201310247425.8A CN104243276B (en) | 2013-06-20 | 2013-06-20 | A kind of contact person recommends method and device |
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| CN201310247425.8A CN104243276B (en) | 2013-06-20 | 2013-06-20 | A kind of contact person recommends method and device |
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Families Citing this family (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105100193B (en) * | 2015-05-26 | 2018-12-11 | 小米科技有限责任公司 | Cloud business card recommended method and device |
| CN106341378A (en) * | 2015-07-15 | 2017-01-18 | 中兴通讯股份有限公司 | Chat establishing method, terminal, server and chat system |
| CN105069073B (en) * | 2015-07-30 | 2019-12-13 | 小米科技有限责任公司 | Contact information recommendation method and device |
| US10127435B2 (en) | 2015-09-25 | 2018-11-13 | American Express Travel Related Services Company, Inc. | Systems and methods for authenticating facial biometric data against secondary sources |
| CN107154890B (en) * | 2016-03-02 | 2020-09-18 | 腾讯科技（深圳）有限公司 | Method, device and system for adding contact persons in social network |
| CN106096009A (en) * | 2016-06-23 | 2016-11-09 | 北京小米移动软件有限公司 | Method for generating message and device |
| CN110147486B (en) * | 2017-10-16 | 2021-10-29 | 中国电信股份有限公司 | Friend recommendation method and device |
| CN110032579A (en) * | 2019-03-14 | 2019-07-19 | 深圳市六度人和科技有限公司 | A kind of contact person's recommended method, device, computer equipment and storage medium |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102118510A (en) * | 2011-03-17 | 2011-07-06 | 宇龙计算机通信科技(深圳)有限公司 | Contact correlation method, server and mobile terminal |
| CN102831202A (en) * | 2012-08-08 | 2012-12-19 | 中兴通讯股份有限公司 | Method and system for pushing recommended friends to users of social network site |
| CN102831176A (en) * | 2012-07-30 | 2012-12-19 | 东莞宇龙通信科技有限公司 | Method and server for recommending friends |
-
2013
- 2013-06-20 CN CN201310247425.8A patent/CN104243276B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102118510A (en) * | 2011-03-17 | 2011-07-06 | 宇龙计算机通信科技(深圳)有限公司 | Contact correlation method, server and mobile terminal |
| CN102831176A (en) * | 2012-07-30 | 2012-12-19 | 东莞宇龙通信科技有限公司 | Method and server for recommending friends |
| CN102831202A (en) * | 2012-08-08 | 2012-12-19 | 中兴通讯股份有限公司 | Method and system for pushing recommended friends to users of social network site |
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