CN102695121A - Method and system for pushing friend information for user in social network - Google Patents
Method and system for pushing friend information for user in social network Download PDFInfo
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- CN102695121A CN102695121A CN2011100781271A CN201110078127A CN102695121A CN 102695121 A CN102695121 A CN 102695121A CN 2011100781271 A CN2011100781271 A CN 2011100781271A CN 201110078127 A CN201110078127 A CN 201110078127A CN 102695121 A CN102695121 A CN 102695121A
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Abstract
The embodiment of the invention provides a method and a system for pushing friend information and a computer program product, and particularly provides a method and a system for pushing friend information for a user in a social network. The method comprises the following steps of: acquiring the current position information of the user; transmitting the current position information of the user to a server in the social network; acquiring the current position information of friends of the user in the social network; determining nearby friends nearby the user; and pushing the friend information of the nearby friends to the mobile terminal of the user.
Description
Technical field
Each execution mode of the present invention relates to information processing, and more specifically, relates to a kind of being used for to method, system and related computer program product based on user's pushed information of the social networks of computer network.
Background technology
The development of Along with computer technology, the communication technology and various other multimedia transmission technology, it is varied further that the information providing formula becomes.Thus; The informant (such as; Advertiser, news provider, manufacturer etc.) begin to potential audient information to be provided in every way, for example, issue geographical location information of business information and user or the like to the public through computer network, TV network, radio network etc.Informant even beginning come to potential audient its positional information to be provided based on locating information.
Based on location technology and information technology is provided; The user begins to pay close attention to; How obtain to be in the good friend's near the social networks user's the current location information based on the current location at oneself place; And be pushed to user's portable terminal further how based near user and good friend's degree of correlation good friend's the friend information select target from these good friends, and with it.
Summary of the invention
The present invention is intended to address the above problem, and provides technology to combine location technology and information, thus the good friend's near the social networks the user provides current location information.
According to an embodiment of the invention, a kind of method that is used for to user's pushed information is provided, comprising: the current location information that obtains said user through said user's portable terminal; Said user's current location information is sent to the server of said social networks; Obtain the good friend of said user in said social networks current location information; Confirm to be positioned near near the good friend of said user; Near good friend's said friend information is pushed to said user's portable terminal.
According to another embodiment of the present invention, the portable terminal that near good friend's said friend information is pushed to said user also comprises: near said, confirm the target proximity good friend the good friend and the target proximity good friend's who confirms friend information is pushed to said user's portable terminal.
According to another embodiment of the present invention; Provide a kind of user who is used for to social networks to push near the system of the friend information the customer location; Comprise portable terminal and social networking service device, wherein: said portable terminal comprises: locating module is used to obtain said user's current location information; And sending module, be used for current location information is sent to the server of said social networks; Said social networking service device comprises: acquisition module, be used for obtaining the current location information of said user the good friend of said social networks, and near good friend's determination module is used to confirm to be positioned near near the good friend of said user; And the propelling movement module, be used near good friend's said friend information is pushed to said user's portable terminal.
According to another embodiment of the present invention; Said propelling movement module also comprises the target proximity good friend determination module that is used for confirming near said good friend the target proximity good friend, and said propelling movement module also is used for the target proximity good friend's who confirms friend information is pushed to said user's portable terminal.
Utilize each execution mode of the present invention, can in including but not limited to the social networks of single social network sites, be method, equipment and the computer program of user's pushed information.
Description of drawings
In conjunction with accompanying drawing and with reference to following detailed description, the characteristic of each execution mode of the present invention, advantage and other aspects will become more obvious, in the accompanying drawings:
Fig. 1 has schematically shown the sketch map according to the mobile terminal display screen of the user's pushed information in social networks of one embodiment of the present invention.
Fig. 2 has schematically shown the method according to the user's pushed information in social networks of one embodiment of the present invention.
Fig. 3 has schematically shown the method that pushes target proximity good friend's friend information among near the good friend according to the user in social networks of a preferred embodiment of the invention.
Fig. 4 has schematically shown the system according to the user's pushed information in social networks of one embodiment of the present invention.
Fig. 5 has schematically shown the system that pushes target proximity good friend's friend information among near the good friend according to the user in social networks of a preferred embodiment of the invention.
Fig. 6 shows the schematic block diagram that is suitable for being used for putting into practice the computer system of embodiment of the present invention.
Embodiment
Flow chart in the accompanying drawing and block diagram illustrate the system according to various embodiments of the invention, architectural framework in the cards, function and the operation of method and computer program product.In this, each square frame in flow chart or the block diagram can be represented the part of module, block or a code, and the part of said module, block or code comprises one or more executable instructions that are used to realize the logic function stipulated.Should be noted that also the order that the function that is marked in the square frame also can be marked to be different from the accompanying drawing takes place in some realization as replacement.For example, in fact the square frame that two adjoining lands are represented can be carried out basically concurrently, and they also can be carried out by opposite order sometimes, and this decides according to related function.Also be noted that; Each square frame in block diagram and/or the flow chart and the combination of the square frame in block diagram and/or the flow chart; Can realize with the hardware based system of the special use of function that puts rules into practice or operation, perhaps can use the combination of specialized hardware and computer instruction to realize.
In order to understand the present invention better; It should be noted that; According to the embodiment of the present invention, term " social network sites " or " social networks " (social network) be point to the special object interested or just together the people of " saunter " the Web website of virtual community is provided.The member communicates through voice, chat, instant message, video conference and blog etc., and this service provides the good friend's who gets in touch other members method usually to the member.This website can also be as the media of meeting in person." social network sites " or " social networks " be to " virtual community " (group use the internet each other with regard to anything so that busy communicating) the 21 century term.
Social networks provides other members with this social networks to communicate and mutual ability to its user (also can be described as the member).In use, the member adds social networks, hopes that to it a plurality of other members that connect add connection then.Connection can be added by member's explicitly, and for example the member selects to become specific other members of good friend; Perhaps based on member's common trait (for example, the alumnus of identical educational institution) and create automatically by social networks.As in this use, term " good friend " is meant that the member passes through any other member that this website forms connection, related or relation with it.(but this is not necessarily) that connection in the social networks is normally two-way, so term " member " and " good friend " possibly depend on reference system.Connection between the member can be direct connection; Yet some execution mode of social networks allows the indirect connection via one-level or multistage connection.In addition, term " good friend " is not to necessarily require the member in actual life, to be actually friend's (when one of member is trade company or other entities, generally especially like this); It only hints the connection in the social networks.
An embodiment of the invention provide a kind of method and system of the user's pushed information in social networks.According to the method for the invention with system in, as the user in the social networks during in certain geographical location, this user may hope to obtain the good friend's near the social networks its current location information.Fig. 1 has presented the sketch map according to the mobile terminal display screen of the user's pushed information in social networks of the present invention.Shown in the left-hand side of Fig. 1, user's portable terminal can regularly perhaps obtain this user's current location information aperiodically.Then, through portable terminal, this user's current location information is sent to the server of social networks (mark 101).Server has received this user's current location information.From the server of social networks, obtain the good friend of this user in this social networks current location information.According to the ID of user in social networks, from the data in server storehouse, extract this user's historical behavior data then.According to user's historical behavior data computation user and the whereabouts characteristic matching degree between the interest matching degree between cohesion attribute, analysis user and the good friend between the good friend and user and the good friend in real-life position.The target proximity good friend that will satisfy certain condition through weighting algorithm is pushed to this user's portable terminal (mark 102).Thereby on user's portable terminal, notify the friend information of user about near the target proximity good friend it (mark 103), shown in the right-hand side of Fig. 1.
Fig. 2 has schematically shown the method according to the user's pushed information in social networks of one embodiment of the present invention.According to the method for the invention 200, at step 201 place, obtain this user's current location information.At step 202 place, this user's current location information is sent to the server of social networks.Said transmit operation can be automatically to send also to send according to user's instruction.At step 203 place, from the server of social networks, obtain the good friend of this user in this social networks current location information.At step 204 place, confirm to be positioned near near the good friend of this user.At step 205 place, near good friend's said friend information is pushed to this user's portable terminal.
Fig. 3 has schematically shown the method that pushes target proximity good friend's friend information among near the good friend according to the user in social networks of a preferred embodiment of the invention.As shown in Figure 3, according to the method for the invention 300, at step 301 place, this user obtains this user's current location information through portable terminal.At step 302 place, this user's current location information is sent to the server of social networks.Said transmit operation can be automatically to send also to send according to user's instruction.At step 303 place, from the server of social networks, obtain the good friend of this user in this social networks current location information.At step 304 place, confirm to be positioned near near the good friend of this user.At step 305 place, near said, confirm the target proximity good friend the good friend.At step 306 place, said target proximity good friend's friend information is pushed to this user's portable terminal.
In a preferred embodiment, confirm near user's good friend through following operation.In order to confirm near near the good friend user's current location, a threshold value about distance is set, express friendship friend's the distance reference value of current location of current location distance users of this threshold value table.For example can this threshold value be set to 500 meters.Be appreciated that this threshold value can be set to other values, for example be set to littler (as 200 meters) or bigger (for example 1000 meters) or the like.The positional information of relevant user's current location sends to the server of social networks and is stored in wherein, for example can be stored in the database in the server.Similarly, user's good friend's positional information also sends to the server of community network and is stored in wherein.Then; The positional information of the positional information of user's current location and its good friend's current location is compared; If the absolute value of its comparative result is less than threshold value, then confirms this good friend near this user, and further this good friend is confirmed as near near the good friend user's the current location.Thereby, can near good friend's all friend information be pushed to the user.
In a preferred embodiment, server all is not pushed near all good friends user's portable terminal, but through the degree of correlation between calculating user and near the good friend, and the target proximity good friend among near the good friend is pushed to this user.
User and near good friend's the degree of correlation be based on said user the historical behavior data and said near good friend's historical behavior data confirm.User's historical behavior data and near good friend historical behavior data are from the server of social networks, to obtain.User's historical behavior data and near good friend historical behavior data can include but not limited to following data: user and near good friend in social networks from create or transmit content-data from other website, user and near between the good friend interbehavior data and user and near good friend's historical position related data or the like.Above mentioned content-data for example can comprise: the user went to certain place and on social networks, had delivered model, for example restaurant, bar, sports center, shopping center or the like.Thereby server extracts data and formed the content-data that the user created certainly in social activity was played from model on the backstage.Interbehavior data between user and the good friend for example can comprise: the Visitor Logs data that exchange visits every day between the user, the message record data of leaving a message each other between the user are replied answer record data of model or the like mutually between the user.
Further, can calculate the cohesion attribute between user and near the good friend according to the interbehavior data between user and near the good friend.Can also according to user and near good friend in said social networks from creating or transmitting content-data from other website, calculate user and near good friend's interest matching degree.In addition, can calculate user and near good friend's the actual whereabouts characteristic and the matching degree in geographical position according to user and near good friend's historical position related data.The matching degree in said cohesion attribute, interest matching degree and actual whereabouts characteristic and geographical position can be referred to as the behavior related data.The characteristic value of the one or more behavior related datas in a plurality of behavior related datas is calculated.The characteristic value that calculates is computed weighted to obtain the degree of correlation.Wherein, weighting algorithm is relevant with the characteristic value of cohesion, interest matching degree, position these three behavior related datas of whereabouts matching degree, and these three characteristic values all are the linearity growth that adds up with user's corelation behaviour explicitly.Should be appreciated that, can also calculate user and good friend's the degree of correlation to other behavior related datas.Above-mentioned behavior related data illustrates rather than limits the present invention as just example.Describe weighting algorithm below in detail to the characteristic value of three behavior related datas.
The cohesion attribute
For example, user A and its all good friends have the cohesion attribute.For example through comparison position information, confirm good friend user B be positioned at user A near.Afterwards; Detect the characteristic value of the cohesion attribute of user A and certain good friend user B; If this characteristic value reaches the characteristic value of the cohesion of certain threshold value or user A and good friend user B when in the tabulation of the characteristic value of all good friend users' of user A cohesion, being arranged in forward position (absolute cohesion or cohesion) relatively, for example, be arranged in top 10; So just this good friend user B is confirmed as the target proximity good friend, thereby the friend information of good friend user B is pushed to the portable terminal of user A.Alternatively, also can the first threshold P about the cohesion attribute be set to user A.If the characteristic value of the cohesion attribute of good friend user B greater than first threshold P, is then confirmed as the target proximity good friend with this good friend user B, thereby the friend information of good friend user B is pushed to the portable terminal of user A.
The characteristic value of cohesion attribute is relevant with a plurality of data.For example, the characteristic value of user and good friend's cohesion attribute and the frequency of interaction between user and good friend, intensity positive correlation.And can be relevant with the function of specific social networks.For example, exchange visits the average every day between the user 1 time, average every day leave a message each other surpass 2 and/or to the concern ratio of the other side UGC (the original content of user) greater than 80%, it is very high then can to define both sides' cohesion.For another example, according to the function that server provided, the setting that can initiatively add between the user, for example certain good friend is set to the special good friend of oneself, confirms that then user and this good friend's cohesion is very high, and then the characteristic value of cohesion attribute is just big more.
The interest matching degree combines with position whereabouts matching degree
What the present invention can also use interest matching degree and position whereabouts matching degree combines to confirm the target proximity good friend.For example through comparison position information, confirm good friend user B be positioned at user A near.Afterwards; When detection user A combines threshold value M with the combined value of the characteristic value of position whereabouts matching degree greater than first with the characteristic value of the interest matching degree of certain good friend user B; So just this good friend user B is confirmed as the target proximity good friend, thereby the friend information of good friend user B is pushed to the portable terminal of user A.If user A and good friend user B are about the matching times of certain interest/position higher (for example, 3 times) or have the match point (for example 3 identical match points) of a plurality of interest/positions, then this all will improve the combined value of above-mentioned two characteristic values.
Literal, the content description of content created or shared through the extraction user, and keyword coupling and ranking operation, the point of interest of analysis user and weight thereof carried out.According to good friend's relation of user, analyze its good friend's point of interest and weight thereof in the same way simultaneously, thereby confirm the interest matching degree.According to the interest matching degree between the user, draw interest matching degree attribute.All in the daily record that oneself is delivered, repeatedly mention " outdoor exercises " like two users; Explain that then the two matching degree on " outdoor exercises " this point of interest is higher; This moment was if one of them user went to certain family " outdoor exercises " shop, and was then more valuable to another user.
Through extracting user and good friend thereof position attribution (for example, attributes such as visiting time, locations and regions, place classification, visiting frequency) before, the matching degree of analysis user and good friend's position characteristics and calculating location attribute.Two user's matching degrees like same type place in similar time is gone to the same area are higher, and repeatedly go to the matching degree in same place higher in similar time.For example, two users go to eat Hunan cuisine through the weekend of being everlasting, and explain that two users matching degree on the whereabouts of position is higher.If one of them user repeatedly gone to a new Hunan cuisine shop, maybe be more valuable to another user, another user maybe also can be interested.
Cohesion attribute, interest matching degree combine with position whereabouts matching degree
In the testing process of above-mentioned cohesion attribute; According to the characteristic value of the cohesion attribute of good friend user B or combining according to interest matching degree and position whereabouts matching degree; Judge that this good friend user B is not the target proximity good friend; Then can further judge; (P＞Q) and user A and good friend user's interest matching degree and the associated value of position whereabouts matching degree combine threshold value M to combine threshold value N (between the M＞N) with second first to the characteristic value that detects user A and the cohesion attribute of certain good friend user B between first threshold P and the second threshold value Q; If satisfy this two conditions simultaneously, then this good friend user B confirmed as the target proximity good friend, thereby the friend information of good friend user B is pushed to the portable terminal of user A.
Fig. 4 has schematically shown the system 400 according to the user's pushed information in social networks of one embodiment of the present invention.The system that user to social networks pushes near the friend information the customer location that is used for according to embodiment of the present invention can comprise portable terminal 401 and social networking service device 404.Portable terminal can comprise: be used to obtain the locating module 402 of said user's current location information, and the sending module 403 that is used for current location information is sent to the server of said social networks.The social networking service device can comprise and is used for obtaining the acquisition module 405 of said user at the good friend's of said social networks current location information; Be used to confirm to be positioned near near the good friend's determination module 406 of said user, and the propelling movement module 407 that is used near good friend's said friend information is pushed to said user's portable terminal.
Fig. 5 has schematically shown the system 500 that pushes target proximity good friend's friend information among near the good friend according to the user in social networks of a preferred embodiment of the invention, can comprise portable terminal 501 and social networking service device 504 equally.Portable terminal can comprise: be used to obtain the locating module 502 of said user's current location information, and the sending module 503 that is used for current location information is sent to the server of said social networks.The social networking service device can comprise and is used for obtaining the acquisition module 505 of said user at the good friend's of said social networks current location information; Be used to confirm to be positioned near good friend's determination module 506 of the good friend of said user near near; And be used near good friend's said friend information is pushed to the propelling movement module 507 of said user's portable terminal, and wherein push module 507 and also comprise and be used for the target proximity good friend determination module 508 that near said good friend confirms the target proximity good friend.
In this system 500; Near good friend's determination module 506 can also be used for said user's good friend's current location information and said user's current location information are compared; If the comparative result of said user's good friend's current location information and said user's current location information is lower than threshold value, the said good friend who then confirms said user is near said user.Said target proximity good friend determination module 508 comprises: based on said user's historical behavior data and near said good friend's historical behavior data, confirm the module of said user and near said good friend's the degree of correlation; And according to said user and said near good friend's the degree of correlation confirm said target proximity good friend's module; Wherein, said user's historical behavior data and near said good friend's historical behavior data are obtained from said server.For fear of fuzzy the present invention, above-mentioned two modules do not illustrate in the drawings.
According to system of the present invention; Can also comprise: the behavior related data is set up module 509, is used for setting up one of following at least behavior related data according to said user's historical behavior data and near said good friend's historical behavior data: cohesion attribute, said user and near said good friend's between said user and near the said good friend interest matching degree and said user and near said good friend's the actual whereabouts characteristic and the matching degree in geographical position.
The behavior related data is set up module 509 and can be comprised: be used for calculating the module of the cohesion attribute between said user and near the said good friend according to the interbehavior data between said user and near the said good friend; And/or be used for according to said user and said near the good friend at said social networks from creating or transmitting content-data from other website, calculate the module of said user and near said good friend's interest matching degree; And/or be used for according to said user and said near good friend's historical position related data, calculate the module of matching degree in said user and said annex good friend's actual whereabouts characteristic and geographical position.For fear of fuzzy the present invention, above-mentioned two modules do not illustrate in the drawings.
Based on said user's historical behavior data and said near good friend's historical behavior data, confirm said user and said near good friend's the module of the degree of correlation comprise: the module that is used for calculating the characteristic value of the one or more behavior related datas of said behavior related data; And be used for the characteristic value that calculates is computed weighted to obtain the module of the said degree of correlation.
The social networking service device also comprises DBM 510, is used to store said user and good friend's thereof said positional information and said historical behavior data.
In system according to the present invention, the calculating of the comparison of user and near good friend's current location and user and near good friend's the degree of correlation and above-mentioned reference are described according to the method for the invention similar, for not fuzzy the present invention, this no longer tired stating.
In each embodiment of the present invention, user's current location information can include but not limited to one of following at least information: latitude and longitude information, cell_id information and wifi information or the like.In one embodiment of the invention, friend information can include but not limited to one of following at least information: good friend's quantity, good friend's head portrait, good friend's name, good friend's current location information and good friend's current behavior or behavior once or the like.In addition; According to an embodiment of the invention; Said friend information complete or collected works can include but not limited to the information of forms such as text, image, audio frequency and video by the various media informations of the user in the social networks with mode perception such as vision, the sense of hearing, senses of touch.
In each embodiment of the present invention, portable terminal can include but not limited to: mobile phone, portable mobile apparatus, beep-pager, personal digital assistant or the like.
Fig. 6 shows the schematic block diagram that is suitable for being used for putting into practice the computer system of embodiment of the present invention.As shown in Figure 6, computer system can comprise: CPU (CPU) 601, RAM (random access memory) 602, ROM (read-only memory) 603, system bus 604, hard disk controller 605, KBC 606, serial interface controller 607, parallel interface controller 608, display controller 609, hard disk 610, keyboard 611, serial external equipment 612, parallel external equipment 613 and display 614.In these equipment, with system bus 604 coupling CPU 601, RAM 602, ROM 603, hard disk controller 605, KBC 606, serialization controller 607, parallel controller 608 and display controller 609 arranged.Hard disk 610 and hard disk controller 605 couplings; Keyboard 611 and KBC 606 couplings; Serial external equipment 612 and serial interface controller 607 couplings, parallel external equipment 613 and parallel interface controller 608 couplings, and display 614 and display controller 609 couplings.Should be appreciated that the described structured flowchart of Fig. 6 illustrates just to the purpose of example, rather than limitation of the scope of the invention.In some cases, can increase or reduce some equipment as the case may be.
Should be appreciated that the described structured flowchart of Fig. 6 illustrates just to the purpose of example, rather than limitation of the scope of the invention.In some cases, can increase or reduce some equipment as the case may be.
Especially, except that the hardware execution mode, execution mode of the present invention can be realized through the form of computer program.For example, can realize through computer program referring to figs. 2 and 3 method of describing 200 and method 300 respectively.This computer program can be stored in RAM for example shown in Figure 6 604, ROM 604, hard disk 610 and/or any suitable storage medium, perhaps downloads on the computer system 600 from suitable position through network.Computer program can comprise the computer code part, and it comprises can be by the program command of proper process equipment (for example, the CPU shown in Fig. 6 601) execution.Said program command can comprise the instruction that is used to realize above-described method 200 and method 300 at least.
Should be noted that execution mode of the present invention can realize through the combination of hardware, software or software and hardware.Hardware components can utilize special logic to realize; Software section can be stored in the memory, and by suitable instruction execution system, for example microprocessor or special designs hardware are carried out.Those having ordinary skill in the art will appreciate that can use a computer executable instruction and/or be included in the processor control routine of above-mentioned equipment and method realizes, for example provides such code on such as the mounting medium of disk, CD or DVD-ROM, such as the programmable memory of read-only memory (firmware) or the data medium such as optics or electronic signal carrier.Equipment of the present invention and module thereof can by such as very lagre scale integrated circuit (VLSIC) or gate array, such as the semiconductor of logic chip, transistor etc., or realize such as the hardware circuit of the programmable hardware device of field programmable gate array, programmable logic device etc.; Also can use the software of carrying out by various types of processors to realize, also can by the combination of above-mentioned hardware circuit and software for example firmware realize.
Although should be noted that the plurality of modules or the submodule of the equipment of in above-detailed, having mentioned, this division only is not enforceable.In fact, according to the embodiment of the present invention, the characteristic of above-described two or more modules and function can be specialized in a module.Otherwise the characteristic of an above-described module and function can further be divided into by a plurality of modules to be specialized.For example, the target proximity good friend determination module 508 among Fig. 5 can be arranged near good friend's determination module 506 rather than be arranged in and push module 507.
In addition, although described the operation of the inventive method in the accompanying drawings with particular order,, this is not that requirement or hint must be carried out these operations according to this particular order, or the operation shown in must carrying out all could realize the result of expectation.On the contrary, the step of describing in the flow chart can change execution sequence.Additionally or alternatively, can omit some step, a plurality of steps merged into a step carry out, and/or a step is decomposed into a plurality of steps carries out.
Though described the present invention, should be appreciated that the present invention is not limited to disclosed embodiment with reference to some embodiments.The present invention is intended to contain included various modifications and equivalent arrangements in spirit and the scope of accompanying claims.The scope of accompanying claims meets the most wide in range explanation, thereby comprises all such modifications and equivalent structure and function.
Claims (20)
1. method that is used for to user's pushed information comprises:
Obtain said user's current location information;
Said user's current location information is sent to the server of said social networks;
Obtain the good friend of said user in said social networks current location information;
Confirm to be positioned near near the good friend of said user;
Near good friend's said friend information is pushed to said user's portable terminal.
2. method according to claim 1, the portable terminal that near good friend's said friend information is pushed to said user also comprises: near said, confirm the target proximity good friend the good friend and the target proximity good friend's who confirms friend information is pushed to said user's portable terminal.
3. method according to claim 1 and 2, wherein, confirm to be positioned near near the good friend of said user and also comprise:
Said user's good friend's current location information and said user's current location information are compared; If the comparative result of said user's good friend's current location information and said user's current location information is lower than threshold value, the said good friend who then confirms said user is near said user.
4. method according to claim 2, wherein, confirm the good friend that near said target proximity good friend's step also comprises:
Based on said user's historical behavior data and near said good friend's historical behavior data, confirm said user and near said good friend's the degree of correlation; And
The degree of correlation according to said user and near said good friend is confirmed said target proximity good friend;
Wherein, said user's historical behavior data and near said good friend's historical behavior data are obtained from said server.
5. method according to claim 4, wherein, said user's historical behavior data and near said good friend's historical behavior data comprise one of following at least information:
Said user and said near the good friend in said social networks from create or transmit from the content-data of other website, said user and said near between the good friend interbehavior data and said user and said near good friend's historical position related data.
6. method according to claim 4 also comprises:
Set up one of following at least behavior related data according to said user's historical behavior data and near said good friend's historical behavior data:
Cohesion attribute, said user and near said good friend's between said user and near the said good friend interest matching degree and said user and near said good friend's the actual whereabouts characteristic and the matching degree in geographical position.
7. according to claim 5 or 6 described methods, wherein, according to said user's historical behavior data and said near good friend's the historical behavior data step of setting up one of following at least behavior related data comprise:
According to the interbehavior data between said user and near the said good friend, calculate the cohesion attribute between said user and near the said good friend; And/or
According to said user and said near the good friend in said social networks from creating or transmitting content-data from other website, calculate said user and near said good friend's interest matching degree; And/or
According to said user and near said good friend's historical position related data, calculate said user and said annex good friend's the actual whereabouts characteristic and the matching degree in geographical position.
8. method according to claim 6, wherein, the step of said definite said user and near said good friend's the degree of correlation comprises:
Calculate the characteristic value of one or more behavior related datas in the said behavior related data;
The characteristic value that calculates is computed weighted to obtain the said degree of correlation.
9. method according to claim 1, wherein, said user's current location information comprises one of following at least information:
Latitude and longitude information, cell_id information and wifi information.
10. method according to claim 1, wherein, said friend information comprises one of following at least information:
Good friend's quantity, good friend's head portrait, good friend's name, good friend's current location information and good friend's current behavior or behavior once.
11. a user who is used for to social networks pushes near the system of the friend information the customer location, comprises portable terminal and social networking service device, wherein:
Said portable terminal comprises:
Locating module is used to obtain said user's current location information, and
Sending module is used for current location information is sent to the server of said social networks;
Said social networking service device comprises:
Acquisition module is used for obtaining the current location information of said user the good friend of said social networks,
Near good friend's determination module is used to confirm to be positioned near near the good friend of said user; And
Push module, be used near good friend's said friend information is pushed to said user's portable terminal.
12. system according to claim 11; Wherein, Said propelling movement module also comprises the target proximity good friend determination module that is used for confirming near said good friend the target proximity good friend, and said propelling movement module also is used for the target proximity good friend's who confirms friend information is pushed to said user's portable terminal.
13. according to claim 11 or 12 described systems, wherein, near said good friend's determination module also is used for:
Said user's good friend's current location information and said user's current location information are compared; If the comparative result of said user's good friend's current location information and said user's current location information is lower than threshold value, the said good friend who then confirms said user is near said user.
14. system according to claim 12, wherein, said target proximity good friend determination module comprises:
Based on said user's historical behavior data and near said good friend's historical behavior data, confirm the module of said user and near said good friend's the degree of correlation; And
Confirm said target proximity good friend's module according to said user and near said good friend's the degree of correlation;
Wherein, said user's historical behavior data and near said good friend's historical behavior data are obtained from said server.
15. system according to claim 14 also comprises:
The behavior related data is set up module, is used for setting up one of following at least behavior related data according to said user's historical behavior data and near said good friend's historical behavior data:
Cohesion attribute, said user and near said good friend's between said user and near the said good friend interest matching degree and said user and near said good friend's the actual whereabouts characteristic and the matching degree in geographical position.
16. system according to claim 14; Wherein, Said user's historical behavior data and said near good friend's historical behavior data comprise at least said user and said near the good friend in said social networks from create or transmit from the content-data of other website, said user and said near between the good friend interbehavior data and said user and said near a kind of data in good friend's the historical position related data, and said behavior related data is set up module and is comprised:
Be used for calculating the module of the cohesion attribute between said user and near the said good friend according to the interbehavior data between said user and near the said good friend; And/or
Be used for according to said user and said near the good friend at said social networks from creating or transmitting content-data from other website, calculate the module of said user and near said good friend's interest matching degree; And/or
Be used for according to said user and said near good friend's historical position related data, calculate the module of matching degree in said user and said annex good friend's actual whereabouts characteristic and geographical position.
17. system according to claim 15 based on said user's historical behavior data and near said good friend's historical behavior data, confirms that the module of said user and near said good friend's the degree of correlation comprises:
Be used for calculating the module of the characteristic value of the one or more behavior related datas of said behavior related data; And
Be used for the characteristic value that calculates is computed weighted to obtain the module of the said degree of correlation.
18. system according to claim 11, wherein, said social networking service device also comprises:
DBM is used to store said user and good friend's thereof said positional information and said historical behavior data.
19. system according to claim 11, wherein, said user's current location information comprises one of following at least information:
Latitude and longitude information, cell_id information and wifi information.
20. system according to claim 11, wherein, said friend information comprises one of following at least information:
Good friend's quantity, good friend's head portrait, good friend's name, good friend's current location information and good friend's current behavior or behavior once.
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