CN104243276A - Method and device for contact person recommendation - Google Patents
Method and device for contact person recommendation Download PDFInfo
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- CN104243276A CN104243276A CN201310247425.8A CN201310247425A CN104243276A CN 104243276 A CN104243276 A CN 104243276A CN 201310247425 A CN201310247425 A CN 201310247425A CN 104243276 A CN104243276 A CN 104243276A
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Abstract
The invention relates to a method for contact person recommendation. The method includes the following steps of acquisition, searching and recommendation, wherein in the acquisition step, when a contact person recommendation request from a client side is received, a head portrait of a user is acquired according to the contact person recommendation request; in the searching step, an information database is searched for information of one or more contact persons matched with the head portrait of the user; in the recommendation step, the found information of the contact persons is returned to the client side, so that the contact persons are recommended to the user. The invention further provides a device for contact person recommendation. By the utilization of the method and device, the searching range of the contact persons can be enlarged and expansion of a user relationship link is facilitated.
Description
Technical field
The specific embodiment of the invention relates to network communication technology field, particularly a kind of contact person's recommend method and device.
Background technology
Along with the development of computer technology and network technology, the application of instant messaging class and social class are applied and have progressively been dissolved in daily life.In instant communication class application and the application of social class, adding contact person is a basic function, and user, by inputting the pet name or the account of contact person in instant communication class application and the application of social class, can search out this contact person and send and add request.When user not active searching contact person, the personal information that system also can be arranged according to user, such as local, the graduation information automatic search such as universities and colleges, work unit go out to be had certain contact person associating (such as fellow villager, alumnus, colleague etc.) and recommends user between user, or other contact persons having common contacts are recommended user adds.Although the way of recommendation practicality of this contact person is better, the hunting zone of contact person is restricted, and is unfavorable for the expansion of customer relationship chain.
Summary of the invention
In view of this, be necessary to provide a kind of contact person's recommend 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's recommend method, comprises the following steps: obtaining step: when receiving the contact person's recommendation request from client, obtains the head portrait of user according to this contact person's recommendation request; Search step: the information of searching for one or more contact persons of mating with the head portrait of this user in information database; Recommendation step: the information of searching for the contact person obtained is returned this client, thus this contact person is recommended user.
A kind of contact person's recommendation apparatus, comprising: acquisition module, for when receiving the contact person's recommendation request from client, obtains the head portrait of user according to this contact person's recommendation request; Search module, for searching for the information of one or more contact persons of mating with the head portrait of this user in information database; Recommending module, for the information of searching for the contact person obtained is returned this client, thus recommends user by this contact person.
Compared to prior art, contact person's recommend method of the present invention and device, when receiving the contact person's recommendation request from client, from information database, search out the contact person of mating with the head portrait of user recommend user, the hunting zone of contact person can be expanded, be conducive to the expansion of customer relationship chain.
For above and other object of the present invention, feature and advantage can be become apparent, preferred embodiment cited below particularly, and coordinate institute's accompanying drawings, be described in detail below.
Accompanying drawing explanation
Environment schematic during contact person's recommend method application that Fig. 1 provides for the embodiment of the present invention.
The flow chart of contact person's recommend method that Fig. 2 provides for first embodiment of the invention.
Fig. 3 is the detail flowchart of step S2 in Fig. 2.
Fig. 4 is for showing the exemplary plot of the information of the contact person recommended in client.
The flow chart of contact person's recommend method that Fig. 5 provides for second embodiment of the invention.
Fig. 6 is for showing the exemplary plot of the information of the contact person recommended in client.
The flow chart of contact person's recommend method that Fig. 7 provides for third embodiment of the invention.
Fig. 8 is for showing the exemplary plot of the information of the contact person recommended in client.
The block diagram of contact person's recommendation apparatus that Fig. 9 provides for fourth embodiment of the invention.
The block diagram of contact person's recommendation apparatus that Figure 10 provides for fifth embodiment of the invention.
The block diagram of contact person's recommendation apparatus that Figure 11 provides for sixth embodiment of the invention.
Embodiment
For further setting forth the present invention for the technological means that realizes predetermined goal of the invention and take and effect, below in conjunction with accompanying drawing and preferred embodiment, to according to the specific embodiment of the present invention, structure, feature and effect thereof, be described in detail as follows.
Consult shown in Fig. 1, the environment schematic during contact person's recommend method application provided for the embodiment of the present invention.In the present embodiment, this contact person's recommend method is applied in server 1, and this server 1 carries out network service by network 2 and terminal 3.Wherein, this server 1 can comprise one or more server, and this server 1 also can be that virtual cloud calculates module certainly.The instantiation of this terminal 3 includes, but are not limited to desktop computer, portable computer, mobile phone, panel computer, personal digital assistant or other similar arithmetic unit.This network 2 can be arbitrary internetwork connection mode, such as the Internet (Internet), mobile Internet (as 2G, 3G network that telecom operators provide), local area network (LAN) (wired or wireless) etc.
First embodiment
Consult shown in Fig. 2, first embodiment of the invention provides a kind of contact person's recommend method, and this contact person's recommend method comprises the following steps:
Step S1, when receiving the contact person's recommendation request from client, obtains the head portrait of user according to this contact person's recommendation request;
Step S2, searches for the information of one or more contact persons of mating with the head portrait of this user in information database;
Step S3, returns the information of searching for the contact person obtained to this client, thus this contact person is recommended user.
According to above-mentioned contact person's recommend method, when receiving the contact person's recommendation request from client, from information database, search out the contact person of mating with the head portrait of user recommend user, the hunting zone of contact person can be expanded, be conducive to the expansion of customer relationship chain.
In some instances, said method each step to realize details as follows:
Client described in step S1 runs in described terminal 3, and this client-side, as the client that can be the immediate communication tool such as QQ, Skype, micro-letter, Fetion, also can be Renren Network, the client of the social network sites such as net of making friends with city.This immediate communication tool or social network sites are erected in server 1.
Usually, user needs first to apply for a login account to server 1, in order to pass through this accessing server by customer end 1.This login account is such as the user name, the pet name, password etc. that system assignment or user are arranged voluntarily.After user uses this login account logon server 1, the information can carrying out user in client is arranged, add contact person and with the operation such as the contact person added conversates.The information of described user such as comprises the head portrait, age, location, contact method etc. of this user.The information of set user is uploaded to server 1, and the service provider being saved to this immediate communication tool or social network sites sets up and in safeguard information database in the server 1.
Described contact person also should be (comprise this user and added the un-added contact person of Buddhist monk) user of this immediate communication tool or social network sites, namely this contact person has also applied for login account to server 1, can pass through the accessing server by customer end 1 of this immediate communication tool or social network sites.The information of each contact person, the head portrait, age, location, contact method etc. of such as contact person are also stored in this information database.In this information database, this user associates with respective login account with the information of each contact person.
Described contact person's recommendation request can be sent by the operation of client according to user, also automatically can be sent by client.Such as, when selecting the option of " recommending contact persons " in the user interface of user in this client, namely this client sends this contact person's recommendation request to server 1.Also such as, when browsing the contact person added in the user interface of user in client, client can send this contact person's recommendation request from trend server 1 and also obtain the contact person recommended, and promotes that user adds recommended contact person further.
In an example, the described login account that this accessing server by customer end 1 uses can be comprised in described contact person's recommendation request.Therefore, step S1 can obtain the information of the user associated with this login account from described information database according to this contact person's recommendation request, and from the information of this user, obtain the head portrait of user further.In the present embodiment, comprise photo or the image of face if the head portrait of user is more than the shoulder of user, then the head portrait of this user is defined as real head portrait.But in order to show individual character or hobby, user also likely uploads the photo of the non-user such as such as cartoon figure, star's photo, scenery picture or the image head portrait as user, and the head portrait of this user is defined as false head portrait in the present embodiment.
For the ease of subsequent treatment, step S1 is when receiving the contact person's recommendation request from client, and also by asking user to confirm further, whether the head portrait of this user is true.Specifically, server 1 can send a request user and confirm whether the head portrait of this user confirms that request to client shows really, then client receives the confirmation that user inputs for this confirmation request, and this confirmation is back to server 1.If this confirmation reflects that the head portrait of this user is untrue, then step S1 shows sending an information further to client, thus points out this user to upload real head portrait.If this confirmation reflects that the head portrait of this user is true, then step S1 directly obtains the head portrait of this user.
Consult shown in Fig. 3, step S2 specifically comprises the following steps:
Step S210, uses the face in the head portrait of this user of face recognition technology identification, obtains the face data of this user.This face recognition technology is the face feature based on people, whether there is face in detected image, if there is face, detects the face data such as the position of each characteristic point of the position of face, size, profile etc. and face, distance, size, profile further.Described characteristic point is such as major organs or the position of face, as eyes, nose, face, eyebrow etc.
Step S211, identifies the face in the head portrait of each contact person in this information database successively, obtains the face data of each contact person.This face data comprises the data such as position, size, profile of face and each characteristic point.
Step S212, contrasts the face data of this user and each contact person successively, obtains face's similarity of this user and each contact person.This face's similarity can reflect the similarity of face's entirety of this user and respective contacts.Such as, even if the similarity of each characteristic point of this user and some contact persons is not high, but this user is also likely higher with face's similarity of this contact person.If the similarity of certain characteristic point of this user and some contact persons is very high, face's similarity of this user and this contact person also may not be high.
Step S213, search for out as described contact person of mating with the head portrait of this user using with one or more contact persons that face's similarity of this user reaches the first predetermined threshold value (such as 80%) from described information database, and the information of this one or more contact person is also searched for out from this information database.
In step S3, search for after the information of this contact person obtained is returned to client, can show side by side with the form of such as list, or be presented at the user interface of client with the form bubbling occurred one by one, thus this contact person is recommended user.Client also only can show a part of information of this contact person, such as, only show the keynote messages such as the head portrait of this contact person, location, age to attract the attention of user, as shown in Figure 4.When checking the information of shown each contact person, if user becomes interested to a certain contact person, then can perform interpolation operation to this contact person, add successfully, user can conversate with this contact person added.
Second embodiment
In order to expand the recommended range of contact person further, improve the matching degree of contact person and the user's request recommended, consult shown in Fig. 5, second embodiment of the invention provides a kind of contact person's recommend method, it is compared to contact person's recommend method of the first embodiment, described step S2, except comprising described step S210 and step S211, also comprises:
Step S222, contrasts the data of specifying characteristic point in the face data of this user and each contact person successively, obtains the similarity of this specific characteristic point of this user and each contact person.This specific characteristic point is such as the combination of characteristic points such as the preassigned nose of user, eyes, face or multiple characteristic point.The similarity of this specific characteristic point only reflects user and the respective contacts similarity at this specific characteristic point, and can not reflect the similarity of face's entirety of this user and respective contacts.
Step S223, the one or more contact persons similarity of the specific characteristic point with this user being reached the second predetermined threshold value (such as 80%) from described information database search for out as described contact person of mating with the head portrait of this user, and also search for out from this information database by the information of this one or more contact person.The contact person that searches for out and this user just at this specific characteristic point, such as nose areas is more similar.
Correspondingly, after the information of searching for this contact person obtained is returned client by described step S3, as shown in Figure 6, the information that client also can show this contact person is checked for user, thus selects to add contact person wherein.
In sum, contact person's recommend method of the present embodiment, only can recommend user by contact person similar for the specific characteristic point to user, expand the recommended range of contact person further, and improves the matching degree of contact person and the user's request recommended.
3rd embodiment
In order to the kind of the abundant contact person recommended, the recommended range of further expansion contact person, and improve the matching degree of contact person and the user's request recommended, consult shown in Fig. 7, third embodiment of the invention proposes a kind of contact person's recommend method, it is compared to contact person's recommend method of the first embodiment, and described step S2, except comprising described step S210 and step S211, also comprises:
Step S232, contrast the data of each character pair point in the face data of this user and each contact person successively, obtain the similarity of each character pair point of this user and each contact person, such as, obtain similarity of the face of the similarity of nose of the nose of this user and contact person A, the face of this user and contact person A etc. respectively.
Step S233, the one or more contact persons similarity of the character pair point with this user being reached the 3rd predetermined threshold value (such as 80%) from described information database search for out as described contact person of mating with the head portrait of user, and also search for out from this information database by the information of this one or more contact person.Such as, the similarity of the nose of contact person A and user reaches 80%, the similarity of the face of contact person B and user reaches 80%, and the similarity of the eyes of contact person C and user reaches 80%, then all search for out by the information of contact person A, contact person B and contact person C from information database.
Correspondingly, described step S3 can by the information of contact person of searching for out be back to client according to the characteristic point classification that the similarity of contact person and this user reaches the 3rd predetermined threshold value and show, thus this contact categories is recommended user.Such as, the characteristic point reaching the 3rd predetermined threshold value in each contact person with the similarity of this user has three classes, be respectively eyes, nose and face, then client can show the contact person that three classes are recommended, be respectively the first kind contact person similar to the eyes of user, the Equations of The Second Kind contact person similar to the nose of user and the three class contact person similar to the face of user, as shown in Figure 8.
In sum, contact person's recommend method of the present embodiment, can enrich the kind of recommended contact person, expands the recommended range of contact person further, and improves the matching degree of contact person and the user's request recommended.
4th embodiment
Consult shown in Fig. 9, fourth embodiment of the invention provides a kind of contact person's recommendation apparatus 100, and it comprises acquisition module 101, search module 102 and recommending module 103.Be appreciated that above-mentioned each module refers to computer program or program segment, for performing certain one or more specific function.In addition, the differentiation of above-mentioned each module does not represent actual program code and must separate yet.
Acquisition module 101, for when receiving the contact person's recommendation request from client, obtains the head portrait of user according to this contact person's recommendation request.
Specifically, acquisition module 101 is when receiving the contact person's recommendation request from client, and also by asking user to confirm further, whether the head portrait of this user is true.If the head portrait of this user is untrue, then acquisition module 101 points out this user to upload real head portrait.If the head portrait of this user is true, then acquisition module 101 obtains the head portrait of user according to this contact person's recommendation request.
Search module 102, for searching for the information of one or more contact persons of mating with the head portrait of this user in information database.This search module 102 specifically comprises recognin module 110, first and contrasts submodule 111 and the first search submodule 112.
Described recognin module 110, for using the face in the head portrait of this user of face recognition technology identification, obtain the face data of this user, and identify the face in the head portrait of each contact person in this information database successively, obtain the face data of each contact person.
Described first contrast submodule 111, for contrasting the face data of this user and each contact person successively, obtains face's similarity of this user and each contact person.
Described first search submodule 112, for searching for out as described contact person of mating with the head portrait of this user using with one or more contact persons that face's similarity of this user reaches the first predetermined threshold value from described information database, and the information of this one or more contact person is also searched for out from this information database.
Recommending module 103, for the information of searching for the contact person obtained is returned this client, thus recommends user by this contact person.Specifically, the information displaying of this contact person can be checked for user by client on a user interface, if user becomes interested to a certain contact person, then can perform interpolation operation to this contact person.
For the specific works process of above each module, contact person's recommend method that can provide with further reference to first embodiment of the invention, no longer repeats at this.
In sum, contact person's recommendation apparatus 100 of the present embodiment is when receiving the contact person's recommendation request from client, from information database, search out the contact person of mating with the head portrait of user recommend user, the hunting zone of contact person can be expanded, be conducive to the expansion of customer relationship chain.
5th embodiment
Consult shown in Figure 10, fifth embodiment of the invention provides a kind of contact person's recommendation apparatus 200, it is compared to contact person's recommendation apparatus 100 of the 4th embodiment, and described search module 102, except comprising described recognin module 110, also comprises the second contrast submodule 121 and the second search submodule 122.
Described second contrast submodule 121, for contrast this user and each contact person successively face data in specify the data of characteristic point, obtain the similarity of this specific characteristic point of this user and each contact person.This specific characteristic point is such as the combination of characteristic points such as the preassigned nose of user, eyes, face or multiple characteristic point.
Described second search submodule 122, one or more contact persons for the similarity of the specific characteristic point with this user being reached the second predetermined threshold value from described information database search for out as described contact person of mating with the head portrait of this user, and also search for out from this information database by the information of this one or more contact person.
For the specific works process of above each module, contact person's recommend method that can provide with further reference to second embodiment of the invention, no longer repeats at this.
In sum, contact person similar for the specific characteristic point to user only can be recommended user by contact person's recommendation apparatus 200 of the present embodiment, expands the recommended range of contact person further, and improves the matching degree of contact person and the user's request recommended.
6th embodiment
Consult shown in Figure 11, sixth embodiment of the invention provides a kind of contact person's recommendation apparatus 300, it is compared to contact person's recommendation apparatus 100 of the 4th embodiment, and described search module 102, except comprising described recognin module 110, also comprises the 3rd contrast submodule 131 and the 3rd search submodule 132.
Described 3rd contrast submodule 131, for contrast this user and each contact person successively face data in the data of each character pair point, obtain the similarity of each character pair point of this user and each contact person.
Described 3rd search submodule 132, one or more contact persons for the similarity of the character pair point with this user being reached the 3rd predetermined threshold value from described information database search for out as described contact person of mating with the head portrait of user, and also search for out from this information database by the information of this one or more contact person.
Correspondingly, described recommending module 103 can by the information of contact person of searching for out be back to client according to the characteristic point classification that the similarity of contact person and this user reaches the 3rd predetermined threshold value and show, thus this contact categories is recommended user.
For the specific works process of above each module, contact person's recommend method that can provide with further reference to third embodiment of the invention, no longer repeats at this.
In sum, contact person's recommendation apparatus 300 of the present embodiment can enrich the kind of recommended contact person, expands the recommended range of contact person further, and improves the matching degree of contact person and the user's request recommended.
In addition, the embodiment of the present invention also provides a kind of computer-readable recording medium, is stored with computer executable instructions, and above-mentioned computer-readable recording medium is such as nonvolatile memory such as CD, hard disk or flash memory.Above-mentioned computer executable instructions completes various operations in above-mentioned contact person's recommend method for allowing computer or similar arithmetic unit.
The above, it is only preferred embodiment of the present invention, not any pro forma restriction is done to the present invention, although the present invention discloses as above with preferred embodiment, but and be not used to limit the present invention, any those skilled in the art, do not departing within the scope of technical solution of the present invention, make a little change when the technology contents of above-mentioned announcement can be utilized or be modified to the Equivalent embodiments of equivalent variations, in every case be do not depart from technical solution of the present invention content, according to any brief introduction amendment that technical spirit of the present invention is done above embodiment, equivalent variations and modification, all still belong in the scope of technical solution of the present invention.
Claims (18)
1. contact person's recommend method, is characterized in that, the method comprises the following steps:
Obtaining step: when receiving the contact person's recommendation request from client, obtains the head portrait of user according to this contact person's recommendation request;
Search step: the information of searching for one or more contact persons of mating with the head portrait of this user in information database;
Recommendation step: the information of searching for the contact person obtained is returned this client, thus this contact person is recommended user.
2. contact person's recommend method as claimed in claim 1, it is characterized in that, described obtaining step comprises:
When receiving the contact person's recommendation request from client, whether the head portrait of this user is true to ask this user to confirm;
If the head portrait of this user is untrue, then this user is pointed out to upload real head portrait;
If the head portrait of this user is true, then obtain the head portrait of this user according to this contact person's recommendation request.
3. contact person's recommend method as claimed in claim 1, it is characterized in that, described information database comprises the information of All Contacts, and the information of this contact person comprises the head portrait of contact person.
4. contact person's recommend method as claimed in claim 3, it is characterized in that, described search step also comprises:
Identify the face in the head portrait of this user, obtain the face data of this user;
Identify the face in the head portrait of each contact person in this information database successively, obtain the face data of each contact person.
5. contact person's recommend method as claimed in claim 4, it is characterized in that, described search step also comprises:
Contrast the face data of this user and each contact person successively, obtain face's similarity of this user and each contact person;
Search for out as described contact person of mating with the head portrait of this user using with one or more contact persons that face's similarity of this user reaches the first predetermined threshold value from described information database.
6. contact person's recommend method as claimed in claim 4, it is characterized in that, described face data comprises the data of each characteristic point of face.
7. contact person's recommend method as claimed in claim 6, it is characterized in that, described search step also comprises:
Contrast the data of specifying characteristic point in the face data of this user and each contact person successively, obtain the similarity of the specific characteristic point of this user and each contact person;
The one or more contact persons similarity of the specific characteristic point with this user being reached the second predetermined threshold value from described information database search for out as described contact person of mating with the head portrait of this user.
8. contact person's recommend method as claimed in claim 6, it is characterized in that, described search step also comprises:
Contrast the data of each character pair point in the face data of this user and each contact person successively, obtain the similarity of each character pair point of this user and each contact person;
The one or more contact persons similarity of the character pair point with this user being reached the 3rd predetermined threshold value from described information database search for out as described contact person of mating with the head portrait of this user.
9. contact person's recommend method as claimed in claim 8, it is characterized in that, described recommendation step also comprises:
By the information of contact person of searching for the out characteristic point classification that reaches the 3rd predetermined threshold value according to the similarity of contact person and this user be back to client, thus this contact categories is recommended user.
10. contact person's recommendation apparatus, is characterized in that, this device comprises:
Acquisition module, for when receiving the contact person's recommendation request from client, obtains the head portrait of user according to this contact person's recommendation request;
Search module, for searching for the information of one or more contact persons of mating with the head portrait of this user in information database;
Recommending module, for the information of searching for the contact person obtained is returned this client, thus recommends user by this contact person.
11. contact person's recommendation apparatus as claimed in claim 10, it is characterized in that, described acquisition module is used for:
When receiving the contact person's recommendation request from client, whether the head portrait of this user is true to ask this user to confirm;
If the head portrait of this user is untrue, then this user is pointed out to upload real head portrait;
If the head portrait of this user is true, then obtain the head portrait of this user according to this contact person's recommendation request.
12. contact person's recommendation apparatus as claimed in claim 10, it is characterized in that, described information database comprises the information of All Contacts, and the information of this contact person comprises the head portrait of contact person.
13. contact person's recommendation apparatus as claimed in claim 12, it is characterized in that, described search module also comprises recognin module, for:
Identify the face in the head portrait of this user, obtain the face data of this user;
Identify the face in the head portrait of each contact person in this information database successively, obtain the face data of each contact person.
14. contact person's recommendation apparatus as claimed in claim 13, it is characterized in that, described search module also comprises:
First contrast submodule, for contrasting the face data of this user and each contact person successively, obtains face's similarity of this user and each contact person;
First search submodule, for searching for out as described contact person of mating with the head portrait of this user using with one or more contact persons that face's similarity of this user reaches the first predetermined threshold value from described information database.
15. contact person's recommendation apparatus as claimed in claim 13, it is characterized in that, described face data comprises the data of each characteristic point of face.
16. contact person's recommendation apparatus as claimed in claim 15, it is characterized in that, described search module also comprises:
Second contrast submodule, for contrast this user and each contact person successively face data in specify the data of characteristic point, obtain the similarity of the specific characteristic point of this user and each contact person;
Second search submodule, searches for out as described contact person of mating with the head portrait of this user for the one or more contact persons similarity of the specific characteristic point with this user being reached the second predetermined threshold value from described information database.
17. contact person's recommendation apparatus as claimed in claim 15, it is characterized in that, described search module also comprises:
3rd contrast submodule, for contrast this user and each contact person successively face data in the data of each character pair point, obtain the similarity of each character pair point of this user and each contact person;
3rd search submodule, searches for out as described contact person of mating with the head portrait of this user for the one or more contact persons similarity of the character pair point with this user being reached the 3rd predetermined threshold value from described information database.
18. contact person's recommendation apparatus as claimed in claim 17, is characterized in that, described recommending module also for:
By the information of contact person of searching for the out characteristic point classification that reaches the 3rd predetermined threshold value according to the similarity of contact person and this user be back to client, thus this contact categories is recommended user.
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| US20170091533A1 (en) * | 2015-09-25 | 2017-03-30 | American Express Travel Related Services Company, Inc. | Systems and methods for authenticating facial biometric data against secondary sources |
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