CN104601435A - Method and device for recommending friends - Google Patents
Method and device for recommending friends Download PDFInfo
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- CN104601435A CN104601435A CN201310539819.0A CN201310539819A CN104601435A CN 104601435 A CN104601435 A CN 104601435A CN 201310539819 A CN201310539819 A CN 201310539819A CN 104601435 A CN104601435 A CN 104601435A
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Abstract
Each embodiment of the invention relates to a method and a device for recommending friends. Specifically, the method, for example, can include the steps of: training a user characteristic set relevant to the characteristics of a test user; classifying candidate users according to the user characteristic set; recommending the friends to the candidate user which is classified to be a target recommending user. Furthermore, the device corresponding to the method is provided. According to the method and device for recommending the friends, smaller classifying errors can be obtained, and thereby the friends can be recommended to the candidate user efficiently.
Description
Technical field
The embodiments of the present invention relate generally to field of social network, and more specifically, the embodiments of the present invention relate to a kind of method and apparatus for commending friends.
Background technology
Along with the development of Web2.0 technology, social network has incorporated in the life of people gradually.In community network, a typical problem is exactly the friend circle helping user to set up oneself fast.Usually, website can by friend recommendation, search for and browse displaying etc. and help user and find more friend.Friend recommendation is divided into again two kinds of approach, and a kind of user of being initiatively browses, and is a kind ofly pushed to user by system.Wherein initiatively pushing good friend to user by system is a kind of system action with certain invasion property.To inappropriate user's commending friends, the current good friend's number of such as user reached that it can manage to greatest extent time, possible aggravate users, causes harmful effect, therefore how to design a set of screening and screen which user the mechanism of recommended good friend to become very valuable.
Summary of the invention
In order to solve the problem, in the present context, one of the object of each execution mode of the present invention is to provide a kind of method and apparatus for commending friends.
Embodiment there is provided a kind of method for commending friends according to some of one aspect of the invention, such as, can comprise: train the user characteristics set be associated with its feature for test subscriber; Classify according to described user characteristics set versus candidate user; And to being classified as the candidate user commending friends of target recommendation user.
Embodiment there is provided a kind of method for commending friends according to some of one aspect of the invention, wherein said test subscriber can be 100,500 or 1000 users of computing equipment random choose.
According to some execution mode of one aspect of the invention, provide a kind of method for commending friends, wherein said user characteristics set can comprise at least one in following user characteristics: user has good friend's number, learns recommend number of times, user by having logged in recommended number and user that in frequency, social networks, user does not add as a friend since recommending plusing good friend number of times, the nearest login time of user, user's hour of log-on, user's registration to website New function degree of participation to user's commending friends number of times, user.
According to some execution mode of one aspect of the invention, provide a kind of method for commending friends, wherein carry out classification according to described user characteristics set versus candidate user and can comprise and candidate user is categorized as target according to described user characteristics set and recommends user and be not suitable for recommending user.
According to some execution mode of one aspect of the invention, provide a kind of method for commending friends, wherein carry out classification according to described user characteristics set versus candidate user and can comprise and utilize Naive Bayes Classifier to classify to candidate user according to described user characteristics set.
According to a further aspect of the invention some embodiment there is provided a kind of equipment for commending friends, such as, can comprise: trainer, is configured to train for test subscriber the user characteristics set be associated with its feature; Sorter, is configured to classify according to described user characteristics set versus candidate user; And recommendation apparatus, be configured to the candidate user commending friends to being classified as target recommendation user.
According to a further aspect of the invention some embodiment there is provided a kind of equipment for commending friends, and wherein said test subscriber can be 100,500 or 1000 users of computing equipment random choose.
Some execution mode according to a further aspect of the invention, provide a kind of equipment for commending friends, wherein said user characteristics set can comprise at least one in following user characteristics: user has good friend's number, learns recommend number of times, user by having logged in recommended number and user that in frequency, social networks, user does not add as a friend since recommending plusing good friend number of times, the nearest login time of user, user's hour of log-on, user's registration to website New function degree of participation to user's commending friends number of times, user.
Some execution mode according to a further aspect of the invention, provide a kind of equipment for commending friends, wherein carry out classification according to described user characteristics set versus candidate user and can comprise and candidate user is categorized as target according to described user characteristics set and recommends user and be not suitable for recommending user.
Some execution mode according to a further aspect of the invention, provide a kind of equipment for commending friends, wherein carry out classification according to described user characteristics set versus candidate user and can comprise and utilize Naive Bayes Classifier to classify to candidate user according to described user characteristics set.
The exemplary solution that exemplary embodiment of the invention provides at least can bring following significant technique effect: utilize Naive Bayes Classifier to classify to candidate user, less error in classification can be obtained, thus efficiently to candidate user commending friends.
Accompanying drawing explanation
By reference to accompanying drawing reading detailed description hereafter, above-mentioned and other objects of exemplary embodiment of the invention, feature and advantage will become easy to understand.In the accompanying drawings, show some execution modes of the present invention by way of example, and not by way of limitation, wherein:
Fig. 1 diagrammatically illustrates the applied environment according to exemplary embodiment of the invention;
Fig. 2 diagrammatically illustrates according to exemplary embodiment of the invention, method flow diagram for commending friends;
Fig. 3 diagrammatically illustrates according to exemplary embodiment of the invention, equipment block diagram for commending friends; And
Fig. 4 diagrammatically illustrates to be benefited from exemplary embodiment of the invention and can be the block diagram of the mobile terminal of exemplary embodiment of the invention exemplary device.
In the accompanying drawings, identical or corresponding label represents identical or corresponding part.
Embodiment
Below with reference to some illustrative embodiments, principle of the present invention and spirit are described.Should be appreciated that providing these execution modes is only used to enable those skilled in the art understand better and then realize the present invention, and not limit the scope of the invention by any way.
In this article, term " social network sites " or " social networks " be point to special object interested or just together the people of " saunter " Web site of virtual community is provided.Member is communicated with blog etc. by voice, chat, instant message, video conference, and this service provides the method for the good friend of other members of contact usually to member.This website can also be used as the medium of in person meeting." social network sites " or " social networks " be for " virtual community " (group use internet each other with regard to anything so that busyly to communicate) 21 century term.
Social networks provides to its member (or claiming user) and carries out communicating and mutual ability with other members of this social networks.In use, member adds social networks, then wishes that other members multiple connected add connection to it.Connection can be added by member's explicitly, and such as member selection will become other members specific of good friend; Or based on member common trait (such as, the alumnus of identical educational institution) and automatically created by social networks.As used herein, term " good friend " refers to that member forms with it connection, association or any other member of relation by this website.(but this not necessarily) that connection in social networks is normally two-way, therefore term " member " and " good friend " may depend on reference system.Connection between member can be direct connection; But some execution mode of social networks allows the indirect connection via one-level or multistage connection.In addition, term " good friend " the non-essential member of requirement be actually in actual life friend (one of member be trade company or other entities time, generally especially like this); It only implies the connection in social networks.
Below in conjunction with accompanying drawing, the specific embodiment of the present invention is described.
First with reference to figure 1, wherein figure 1 illustrate the system 10 that can use according to the embodiment of the present invention wherein, comprise and can carry out by network multiple communication equipments of communicating.System 10 can comprise combination in any that is wired or wireless network, and wherein these networks include but not limited to the one or more ad hoc network etc. between mobile telephone network, WLAN (wireless local area network) (LAN), Bluetooth personal local area network, ethernet lan, token LAN, wide area network, the Internet, communication equipment.System 10 can comprise wire communication facility and Wireless Telecom Equipment.
Such as, system 10 shown in Fig. 1 comprises mobile telephone network 11 and the Internet 28.Connection towards the Internet 28 can include but not limited to that long distance wireless connects, short-distance radio connects, and various wired connection, and wired connection includes but not limited to telephone wire, cable line, power line etc.
The exemplary communication device of system 10 can include but not limited to mobile phone 12, composite type PDA and mobile phone 14, PDA16, integrated messaging device (IMD) 18, desktop computer 20, and notebook 22.Communication equipment can be fixing or be mobile when being carried by the people in advancing.Some or all of communication equipment can be sent and receipt of call and message by the wireless connections 25 of leading to base station 24, and are communicated with service provider by the wireless connections 25 towards base station 24.Base station 24 can be connected to the webserver 26, and this server 26 supports the communication between mobile telephone network 11 and the Internet 28.System 10 can comprise additional communication equipment and dissimilar communication equipment.Communication equipment can direct communication each other.
Should be appreciated that base station 24 is only the representative of the network equipment for wireless access, the present invention is unrestricted in this regard.According to some other illustrative embodiments of the present invention, alternative base station 24 can be come by WiFi access point.In addition, it should also be understood that, communication equipment can use various transmission technology to communicate, include but not limited to, code division multiple access (CDMA), global system for mobile communications (GSM), universal mobile telecommunications system (UMTS), time division multiple access (TDMA), frequency division multiple access (FDMA), transmission control protocol/Internet protocol (TCP/IP), short messaging service (SMS), multimedia information transferring service (MMS), Email, Transit time flow meter service (IMS), bluetooth, IEEE802.11 etc.Communication equipment can use various medium to communicate, and includes but not limited to, wireless, infrared, laser, cable connection etc.
Below in conjunction with the application scenarios of Fig. 1, be described with reference to Figure 2 the method 200 for commending friends according to exemplary embodiment of the invention.
It will be appreciated that, in the following description, using the exemplary representation (hereinafter referred to as terminal 12) of mobile phone 12 (any one mobile phone 12 in Fig. 1) as terminal, it is by network access equipment (any one network access equipment 24 in Fig. 1; Such as, base station 24 or WiFi access point 24), via the webserver 26 accessing Internet 28; Using the server (hereinafter referred to as server 20) of desktop computer 20 as the website providing commending friends to serve (such as, social network sites).
As shown in Figure 2, according to an illustrative embodiment of the invention, in step S201, can comprise and train for test subscriber the user characteristics set be associated with its feature.
For the application scenarios of Renren Network, selecting a collection of a small amount of test subscriber, attempting carrying out friend recommendation when not adding screening to it.In an illustrative embodiments, wherein said test subscriber can be 100,500 or 1000 users of computing equipment random choose.Under ensureing that user has learned the prerequisite of recommending, observe the follow-up behavior in the one section time, if it had one or many acceptance action to above-mentioned recommendation, and initiate good friend's application to the other side, then assert that this kind of user is for target recommendation user; And refuse always or ignore the user of above-mentioned recommendation, then assert that above-mentioned promotion expo produces invasion to this kind of user is be not suitable for recommending user.
After having learned that target is recommended user's set and is not suitable for recommending user's set, need to carry out induction and conclusion to the feature of these users, so that screen from the user do not seen a system, thus judged whether this user can recommend.In an illustrative embodiments, wherein said user characteristics set can comprise at least one in following user characteristics: user has good friend's number, learns recommend number of times, user by having logged in recommended number and user that in frequency, social networks, user does not add as a friend since recommending plusing good friend number of times, the nearest login time of user, user's hour of log-on, user's registration to website New function degree of participation to user's commending friends number of times, user.
As shown in Figure 2, according to an illustrative embodiment of the invention, in step S202, can comprise and classifying according to described user characteristics set versus candidate user.
Usually can classify to candidate user according to user characteristics set, the training of wherein user characteristics set refers to the behavior in a small amount of test subscriber's a period of time mentioned above.In an illustrative embodiments, wherein carry out classification according to described user characteristics set versus candidate user and can comprise and candidate user is categorized as target according to described user characteristics set and recommends user and be not suitable for recommending user.
In an illustrative embodiments, wherein carry out classification according to described user characteristics set versus candidate user and can comprise and wherein carry out classification according to described user characteristics set versus candidate user and comprise and utilize Naive Bayes Classifier to classify to candidate user according to described user characteristics set.Wherein Naive Bayes Classifier is one of grader the most widely, rises in classical mathematics theory, has solid Fundamentals of Mathematics, and stable classification effectiveness.Meanwhile, the required parameter estimated of model-naive Bayesian is little, and not too responsive to missing data, algorithm is also fairly simple.Theoretically, model-naive Bayesian has less error rate compared with other sorting techniques.
As shown in Figure 2, according to an illustrative embodiment of the invention, in step S203, the candidate user commending friends to being classified as target recommendation user can be comprised.
Generally speaking, utilize model-naive Bayesian, the user possessing what feature can be calculated and be applicable to recommended good friend.The candidate user application the embodiments of the present invention of commending friends regularly can screen and can recommend crowd all, can effectively avoid aggravate users to cause harmful effect.
Describe according to exemplary embodiment of the invention, after method 200 for commending friends, following reference diagram 3 to according to exemplary embodiment of the invention, be described in detail for the equipment 300 of commending friends.
Fig. 3 show according to exemplary embodiment of the invention, for the schematic block diagram of the equipment 300 of commending friends.Equipment 300 such as can comprise: trainer 301, is configured to train for test subscriber the user characteristics set be associated with its feature; Sorter 302, is configured to classify according to described user characteristics set versus candidate user; And recommendation apparatus 303, be configured to the candidate user commending friends to being classified as target recommendation user.
For clarity, in figure 3 and the sub-device that comprises of each device not shown.But, should be appreciated that the device recorded in equipment 300 is corresponding with the step in the method 200 described with reference to figure 2 respectively.Thus, the operation described for the method 200 of Fig. 2 above and feature are equally applicable to equipment 300 and the device wherein comprised and sub-device, do not repeat them here.
Should be appreciated that equipment 300 can profit realize in various manners.Such as, in some embodiments, equipment 300 can utilize software and/or firmware module to realize.In addition, equipment 300 also can utilize hardware module to realize.Such as, equipment 300 can be implemented as integrated circuit (IC) chip or application-specific integrated circuit (ASIC) (ASIC).Equipment 300 also can be implemented as SOC (system on a chip) (SOC).In addition, equipment 300 also can utilize the combination of hardware module and software and/or firmware module to realize.Other modes that are known or exploitation in the future are also feasible now, and scope of the present invention is unrestricted in this regard.
Below with reference to Fig. 4, it illustrates the schematic block diagram of the mobile terminal 400 be suitable for for putting into practice embodiment of the present invention.In the example depicted in fig. 4, mobile terminal 400 is mobile devices with wireless communication ability.But, be appreciated that this is only exemplary and nonrestrictive.The mobile terminal of other types also easily can adopt embodiments of the present invention, the voice of such as portable digital-assistant (PDA), beep-pager, mobile computer, mobile TV, game station, laptop computer, camera, video tape recorder, GPS device and other types and text communication system.Fixed mobile terminal easily can use embodiments of the present invention equally.
Mobile terminal 400 comprises one or antenna 418, and it operationally communicates with receiver 416 with transmitter 414.Mobile terminal 400 also comprises processor 412 or other treatment elements, and it provides the signal going to transmitter 414 and the signal received from receiver 416 respectively.Signal comprises the signaling information of the air-interface standard according to suitable cellular system, and comprises user speech, the data of reception and/or the data of user's generation.In this regard, mobile terminal 400 can utilize one or more air-interface standard, communication protocol, modulation type and access style to operate.Exemplarily, mobile terminal 400 can operate according to any agreement in multiple first generation, the second generation, the third generation and/or forth generation communication protocol etc.Such as, mobile terminal 400 can operate according to the second generation (G) wireless communication protocol IS-136 (TDMA), GSM and IS-95 (CDMA), or operate according to the third generation (G) wireless communication protocol of such as UMTS, CDMA2000, WCDMA and TD-SCDMA, or operate according to forth generation (4G) wireless communication protocol and/or similar agreement.
Be appreciated that processor 412 comprises the circuit needed for the function realizing mobile terminal 400.Such as, processor 412 can comprise digital signal processor device, micro processor device, various analog to digital converter, digital to analog converter and other support circuit.The control of mobile terminal 400 and signal processing function distribute betwixt according to these equipment ability separately.Processor 412 can also be included in the function of modulating and before transmission, message and data being carried out to convolutional encoding and intertexture thus.Processor 412 can also comprise internal voice coder in addition, and can comprise internal data modem.In addition, processor 412 can comprise the function operated one or more software programs that can store in memory.Such as, processor 412 can operate linker, such as traditional Web browser.Linker can allow mobile terminal 400 such as to transmit and receive web content (such as location-based content and/or other web page contents) according to WAP (wireless application protocol) (WAP), HTML (Hypertext Markup Language) (HTTP) etc. then.
Mobile terminal 400 can also comprise user interface, and it such as can comprise earphone or loud speaker 424, ringer 422, microphone 426, display screen 428 and handwriting equipment 431, and all these equipment are all coupled to processor 412.Mobile terminal 400 can comprise keypad 430.Keypad 430 can comprise traditional numerical key (0-9) and relative keys (#, *), and for other keys of operating mobile terminal 400.Alternatively, keypad 430 can comprise traditional QWERTY arrangements of keypad.Keypad 430 can also comprise the various soft keys be associated with function.Mobile terminal 400 can also comprise acceleration induction module 436, for catching the action (motion) that user makes.
Particularly, display screen 428 can comprise touch-screen and/or contiguous formula screen, user can by direct control screen operating mobile terminal 400.Now, display screen 428 serves as both input equipment and output equipment simultaneously.In such execution mode, handwriting equipment 431 can be configured for the input receiving user and provided on display screen 428 by such as common pen, special stylus and/or finger, comprises and gives directions input and gesture input.
In addition, mobile terminal 400 can comprise the interface equipment of such as joystick or other are for input interface.Mobile terminal 400 also comprises battery 434, such as vibrating battery group, for the various circuit supplies needed for operating mobile terminal 400, and provides mechanical oscillation as detecting output alternatively.
Mobile terminal 400 may further include Subscriber Identity Module (UIM) 438.UIM438 normally has the memory devices of internal processor.UIM438 such as can comprise subscriber identity module (SIM), Universal Integrated Circuit Card (UICC), Universal Subscriber Identity module (USIM), removable Subscriber Identity Module (R-UIM) etc.UIM438 stores the cell relevant to mobile subscriber usually.
Mobile terminal 400 can also have memory.Such as, mobile terminal 400 can comprise volatile memory 440, such as, comprise the volatile random access memory (RAM) of the cache area temporarily stored for data.Mobile terminal 400 can also comprise other nonvolatile memories 442, and it can be Embedded and/or moveable.Nonvolatile memory 442 additionally or alternatively can comprise such as EEPROM and flash memory etc.Memory can Arbitrary Term in multiple information segment of using of memory mobile terminal 400 and data, to realize the function of mobile terminal 400.
Should be appreciated that the structured flowchart described in Fig. 4 illustrates just to the object of example, instead of limitation of the scope of the invention.In some cases, can increase or reduce some equipment as the case may be.
It should be noted that embodiments of the present invention can be realized by the combination of hardware, software or software and hardware.Hardware components can utilize special logic to realize; Software section can store in memory, and by suitable instruction execution system, such as microprocessor or special designs hardware perform.Those having ordinary skill in the art will appreciate that above-mentioned equipment and method can use computer executable instructions and/or be included in processor control routine to realize, such as, on the programmable memory of mounting medium, such as read-only memory (firmware) or the data medium of such as optics or electrical signal carrier of such as disk, CD or DVD-ROM, provide such code.Equipment of the present invention and module thereof can be realized by the hardware circuit of the programmable hardware device of the semiconductor of such as very lagre scale integrated circuit (VLSIC) or gate array, such as logic chip, transistor etc. or such as field programmable gate array, programmable logic device etc., also with the software simulating performed by various types of processor, also can be realized by the combination such as firmware of above-mentioned hardware circuit and software.
Although it should be noted that the some devices or sub-device that are referred to equipment in above-detailed, this division is only not enforceable.In fact, according to the embodiment of the present invention, the Characteristic and function of two or more devices above-described can be specialized in one apparatus.Otherwise, the Characteristic and function of an above-described device can Further Division for be specialized by multiple device.
In addition, although describe the operation of the inventive method in the accompanying drawings with particular order, this is not that requirement or hint must perform these operations according to this particular order, or must perform the result that all shown operation could realize expectation.On the contrary, the step described in flow chart can change execution sequence.Additionally or alternatively, some step can be omitted, multiple step be merged into a step and perform, and/or a step is decomposed into multiple step and perform.
Although describe the present invention with reference to some embodiments, should be appreciated that, the present invention is not limited to disclosed embodiment.The present invention is intended to contain the interior included various amendment of spirit and scope and the equivalent arrangements of claims.The scope of claims meets the most wide in range explanation, thus comprises all such amendments and equivalent structure and function.
Claims (10)
1., for a method for commending friends, comprising:
The user characteristics set be associated with its feature is trained for test subscriber;
Classify according to described user characteristics set versus candidate user; And
To the candidate user commending friends being classified as target recommendation user.
2. method according to claim 1, wherein said test subscriber is 100,500 or 1000 users of computing equipment random choose.
3. method according to claim 1, wherein said user characteristics set comprises at least one in following user characteristics: user has good friend's number, learns recommend number of times, user by having logged in recommended number and user that in frequency, social networks, user does not add as a friend since recommending plusing good friend number of times, the nearest login time of user, user's hour of log-on, user's registration to website New function degree of participation to user's commending friends number of times, user.
4. method according to claim 1, wherein carries out classification according to described user characteristics set versus candidate user and comprises and candidate user is categorized as target according to described user characteristics set and recommends user and be not suitable for recommending user.
5. the method according to Claims 1-4, wherein carries out classification according to described user characteristics set versus candidate user and comprises and utilize Naive Bayes Classifier to classify to candidate user according to described user characteristics set.
6., for an equipment for commending friends, comprising:
Trainer, is configured to train for test subscriber the user characteristics set be associated with its feature;
Sorter, is configured to classify according to described user characteristics set versus candidate user; And
Recommendation apparatus, is configured to the candidate user commending friends to being classified as target recommendation user.
7. equipment according to claim 6, wherein said test subscriber is 100,500 or 1000 users of computing equipment random choose.
8. equipment according to claim 6, wherein said user characteristics set comprises at least one in following user characteristics: user has good friend's number, learns recommend number of times, user by having logged in recommended number and user that in frequency, social networks, user does not add as a friend since recommending plusing good friend number of times, the nearest login time of user, user's hour of log-on, user's registration to website New function degree of participation to user's commending friends number of times, user.
9. equipment according to claim 6, wherein carries out classification according to described user characteristics set versus candidate user and comprises and candidate user is categorized as target according to described user characteristics set and recommends user and be not suitable for recommending user.
10., according to the equipment described in claim 6 to 9, wherein carry out classification according to described user characteristics set versus candidate user and comprise and utilize Naive Bayes Classifier to classify to candidate user according to described user characteristics set.
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| CN201310539819.0A CN104601435A (en) | 2013-10-30 | 2013-10-30 | Method and device for recommending friends |
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| CN201310539819.0A CN104601435A (en) | 2013-10-30 | 2013-10-30 | Method and device for recommending friends |
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