CN103209111A - Method and system for building user relationship - Google Patents
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- CN103209111A CN103209111A CN2012100075545A CN201210007554A CN103209111A CN 103209111 A CN103209111 A CN 103209111A CN 2012100075545 A CN2012100075545 A CN 2012100075545A CN 201210007554 A CN201210007554 A CN 201210007554A CN 103209111 A CN103209111 A CN 103209111A
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Abstract
The invention discloses a method and system for building user relationship. The method comprises the steps of utilizing a preset algorithm to perform calculation between users which do not establish the relationship; sending recommendation information to a first user and providing an access for users to select recommendation acceptance or non-acceptance when a second user is required to be recommended to the first user; preserving selection information of the first user when the user relationship can not be established between the first user and the second user according to the selection information of the first user; and performing attribute monitoring to users corresponding to the preserved selection information and re-sending the recommendation information to the first user or the second user so as to establish the user relationship between the first user and the second user when attribute of the first user and/or the second user meets a preset condition. System computing resources can be prevented from being wasted in the user relationship establishing process of potential users.
Description
Technical field
The present invention relates to computer instant messaging field, particularly relate to the method and system of setting up customer relationship.
Background technology
In the instant communications field, have certain relation between the instant communication users end, for example, the good friend is exactly wherein a kind of.The good friend is in the instant messaging, by the instant messaging object with substantial connection of instant communication users setting.
At first, good friend's setting need be by side's instant communication users after learning the other side's information such as number of the account, by the entrance that provides on the instant communication terminal interface, sending one requires the other side to add it to be good friend's solicited message, the other side judges whether to receive it and is the good friend after receiving information, if receive, then become the good friend of this instant communication users, enjoy this instant communication users good friend's right and instant communication mode.
Current social network sites is in order to set up more customer relationship, allow more potential user's opening relationships, propose multiple algorithm the user has been mated calculating, recommended some user who does not also have opening relationships understanding and opening relationships mutually according to the coupling result calculated.Usually by recommending user class like friend recommendation such as " you can knowable people ", " the interested people of possibility ", " people who has several common friends " in the page after user's login, the user can select to add the other side for the good friend or add concern etc., the other side can select plusing good friend or concern, also can be without any response.If the other side selects to respond, then the mode of Hui Yinging is and sets up good friend's relation or concern mutually.
When specific implementation, the friend recommendation of current social network sites is to provide the recommendation of may making friends in the respective page position after system mates each attribute of user, the user is chosen as " adding as a friend " or ignores, when the user selects to add as a friend, system can send a good friend of interpolation application to the other side, when treating that the other side sees this Request Notices, can determine whether to agree good friend's application of the other side, also can select to ignore.In fact this interpolation good friend application is a kind of deferred information affirmation mechanism, sends request to the opposing party by a side, and awaits a response, in case the opposing party obtains request, is responding or is paying no attention to this message of back and namely wither away.
Though customer relationship commending system of the prior art is conducive to set up relation between more potential user, realize from technology, because each recommendation is only once effective, therefore, if after once recommending, the user does not accept, then this message is withered away immediately; Recommend if rethink between these two users in the future, then system need re-use information such as attribute of user, and calculates in conjunction with certain algorithm, thereby causes the waste to system resources in computation.
Summary of the invention
The invention provides the method and system of setting up customer relationship, can avoid causing the waste to system resources in computation setting up in the process of customer relationship between the more potential user.
The invention provides following scheme:
A kind of method of setting up customer relationship comprises:
The algorithm that utilization is preset is not calculating between the user of opening relationships as yet;
When calculating to recommend second user for first user time, send recommendation information to described first user, and provide to the user and to select to accept the entrance recommending and do not accept to recommend;
In the time can't directly between described first user and described second user, setting up customer relationship according to described first user's selection information, preserve described first user's selection information;
User to the selection information correspondence of preserving carries out the attribute monitoring, when monitoring described first user and/or second user when occurring meeting the attribute of prerequisite, again send recommendation information to described first user or second user, in order between described first user and described second user, set up customer relationship.
Wherein, described in the time can't directly between described first user and described second user, setting up customer relationship according to described first user's selection information, preserve described first user's selection information, comprising:
When described first user when not accepting to recommend entrance to enter, preserves described first user's selection information by described.
Preferably,, also comprise when not accepting to recommend entrance to enter by described as described first user:
According to described first user and second attribute of user, mark the temporary transient user who does not recommend to described first user, the described temporary transient user who does not recommend to described first user comprises: have the user of like attribute with described second user, and have the user of customer relationship with described second user.
Wherein, described in the time can't directly between described first user and described second user, setting up customer relationship according to described first user's selection information, preserve described first user's selection information, comprising:
When described first user recommends entrance to enter by described acceptance, if do not recommend described first user to described second user, perhaps, once recommend described first user but described second user does not recommend entrance to enter from described acceptance to described second user, then preserved described first user's selection information.
Preferably, also comprise:
Carry out the weight adjustment according to described selection information to resending recommendation information.
Preferably, also comprise:
When described first user recommends entrance to enter by described acceptance, judge whether once to recommend described first user to described second user, and described second user recommends entrance to enter from described acceptance, if then set up customer relationship between described first user and described second user.
A kind of system that sets up customer relationship comprises:
Computing unit is used for utilizing the algorithm that presets, and is not calculating between the user of opening relationships as yet;
Recommendation unit is used for sending recommendation information when calculating need recommend second user for first user time to described first user, and provides to select to accept to recommend to reach to the user and do not accept the entrance recommended;
Preserve the unit, be used in the time can't directly between described first user and described second user, setting up customer relationship according to described first user's selection information, preserving described first user's selection information;
Again recommendation unit, be used for the user of the selection information correspondence of preserving is carried out the attribute monitoring, when monitoring described first user and/or second user when occurring meeting the attribute of prerequisite, again send recommendation information to described first user or second user, in order between described first user and described second user, set up customer relationship.
Wherein, described preservation unit comprises:
First preserves subelement, is used for when not accepting to recommend entrance to enter, preserving described first user's selection information by described as described first user.
Preferably, also comprise:
Indexing unit, be used for when described first user by described when not accepting to recommend entrance to enter, according to described first user and second attribute of user, mark the temporary transient user who does not recommend to described first user, the described temporary transient user who does not recommend to described first user comprises: have the user of like attribute with described second user, and have the user of customer relationship with described second user.
Wherein, described preservation unit comprises:
Second preserves subelement, be used for when described first user recommends entrance to enter by described acceptance, if do not recommend described first user to described second user, perhaps, once recommend described first user but described second user does not recommend entrance to enter from described acceptance to described second user, then preserved described first user's selection information.
Preferably, also comprise:
Adjustment unit is used for carrying out the weight adjustment according to described selection information to resending recommendation information.
Preferably, also comprise:
Customer relationship is set up the unit, be used for when described first user recommends entrance to enter by described acceptance, judge whether once to recommend described first user to described second user, and described second user recommends entrance to enter from described acceptance, if then between described first user and described second user, set up customer relationship.
According to specific embodiment provided by the invention, the invention discloses following technique effect:
By the present invention, recommending to set up in the process of customer relationship with other users to the user, if temporarily can't directly between two users, set up customer relationship, can temporarily preserve user's selection information, if in follow-up monitor procedure, find that the attribute of prerequisite has appearred meeting in the user, then can recommend again.Therefore, once recommend to have survival, when recommending again, do not need to re-use algorithm and calculate, the computational resource in can the saving system.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, to do to introduce simply to the accompanying drawing of required use among the embodiment below, apparently, accompanying drawing in describing below only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the flow chart of the method that provides of the embodiment of the invention;
Fig. 2 is the schematic diagram of the system that provides of the embodiment of the invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, the every other embodiment that those of ordinary skills obtain belongs to the scope of protection of the invention.
Referring to Fig. 1, the method for setting up customer relationship that the embodiment of the invention provides may further comprise the steps:
S101: utilize the algorithm that presets, do not calculating between the user of opening relationships as yet;
The algorithm that presets described here can adopt the algorithm in the prior art, perhaps comprehensively use multiple algorithm, certainly, specifically adopt which kind of algorithm or adopt which algorithm, can determine according to the needs in the practical application, to the not influence of specific implementation of the embodiment of the invention, therefore in detail, concrete algorithm is described in detail no longer also here.
S102: when calculating to recommend second user for first user time, send recommendation information to described first user, and provide to the user and to select to accept the entrance recommending and do not accept to recommend;
When finding to recommend second user to first user, just can send recommendation information to first user, first user can find this recommendation information in the interface after its login.Unlike the prior art, in embodiments of the present invention, not only for the user provides the entrance of accepting recommendation, can also provide the entrance of not accepting to recommend for the user.For example, when being that first user is when recommending to add second user for the good friend, can provide for the user " liking " reach " disliking " or, " think understanding " reach " not thinking understanding " two entrances (but can pass through mode such as action button as user's operation entry) etc., first user is after receiving the recommendation information of system, if like second user, wish that adding second user is the good friend, then can click " liking " button; Otherwise if dislike second user, temporarily not wanting to add second user is the good friend, then can click " disliking " button.
S103: in the time can't directly between described first user and described second user, setting up customer relationship according to described first user's selection information, preserve first user's selection recommendation information;
When first user enters according to the entrance that system provides, selected to accept or do not accepted after the recommendation, can be according to first user's selection situation, and relevant this first user who preserves before and the mutual selection situation between second user, judge whether directly opening relationships between first user and second user, if can, then directly set up the customer relationship between this first user and second user.
For example, if first user selects to like second user, and select to find after the information through recommendation information and the user who preserved before the inquiry, once recommended first user to second user before, and second user also selected to like first user, then just can directly set up customer relationship between first user and second user.
Otherwise, if first user has selected to like second user, but do not recommend first user to second user as yet before, perhaps, though recommended first user to second user before, but second user has selected to dislike first user, then can't directly set up customer relationship between first user and second user.
Perhaps, if first user has selected to dislike second user, then no matter before whether recommended first user to second user, no matter whether second user likes first user, temporarily all can't directly set up customer relationship between first user and second user.
Above-mentioned which kind of situation no matter occurs, as long as temporarily can't directly between first user and second user, set up customer relationship according to first user's selection information, in embodiments of the present invention, all can preserve this recommendation information.Also be, at once recommending, even temporarily fail directly successfully to set up customer relationship between first user and second user, the embodiment of the invention neither directly allow this time recommends to wither away, but it is preserved, follow-up can proceeding on the basis of this recommendation recommends to operate.Need to prove, preservation recommendation information described in the embodiment of the invention, can refer to, to once second user be recommended this logout of first user gets off, like this, if follow-up need between first user and second user, set up customer relationship again the time, calculate with regard to not needing to re-use the algorithm described in the step S101, save computational resource.
Certainly, in actual applications, in recommendation information of preservation, can also preserve first user's selection information, this selection information can be weighted for follow-up recommendation again or (for example fall power, the selection information of preserving is to like, then the weight of recommending again can increase, if selection information is to dislike, then the weight of recommending again can descend), perhaps, if follow-uply also recommended first user to second user, then can also provide the foundation of judgement for whether directly between first user and second user, setting up customer relationship.
Specifically when preserving recommendation information and user's selection information, can adopt in first user and/or the second user's data storehouse mode of preserving " the accurate groups of users that concerns " to realize, and can be divided into a plurality of groups according to user's different choice situation.For example, when recommending to add second user for the good friend to first user, if first user selects to like second user, but find not recommend first user to second user as yet, perhaps selected to dislike first user before second user, then can in first user and/or the second user's data storehouse, store this selection information for follow-up use, at this moment, relation between first user and second user can be called a kind of " accurate good friend's relation ", second user will appear at first user's in " accurate good friend group ", first user also will appear at second user's in " accurate good friend group ", and first user and second user can check in oneself the accurate good friend group to comprise which user.
Perhaps, if first user has selected to dislike second user, but, find not recommend first user to second user as yet, perhaps, second user once selected to like first user before finding, then can in first user and/or the second user's data storehouse, store this selection information for follow-up use equally, at this moment, because first user and second user have a side to like the opposing party, therefore, the relation between first user and second user can be called a kind of " accurate good friend's relation " equally, second user will appear at first user's in " accurate good friend group ", and first user also will appear in second user's " accurate good friend group ".
In addition, if first user has selected to dislike second user, and find before when recommending first user to second user, second user had once selected also to dislike first user, prove that then these two users may be temporarily not know each other mutually really, therefore, relation between first user and second user can be called a kind of " accurate stranger's relation ", second user will appear at first user's in " accurate stranger group ", first user also will appear at second user's in " accurate stranger group ", equally, first user and second user can check in oneself the accurate stranger group to comprise which user.
S104: the user to the recommendation information correspondence of preserving carries out the attribute monitoring, when monitoring described first user and/or second user when occurring meeting the attribute of prerequisite, again send described recommendation information to described first user or second user, in order between described first user and described second user, set up customer relationship.
For the recommendation information of preserving, in embodiments of the present invention, can carry out the attribute monitoring to the user of these recommendation information correspondences, if when finding that first user and/or second user occur meeting the attribute of prerequisite, then can send described recommendation information to first user or second user again.That is to say, if after once recommending, find, temporarily can't directly between first user and second user, set up customer relationship, then according to this recommendation, temporarily in certain threshold range (comprising time, place, hobby, industry etc.), can temporarily not recommend to have certain other similar or contact users to second user to first user; Simultaneously, also can monitor first user and second attribute of user, the attribute of prerequisite appears meeting if find first user and/or second user, for example, find the user that first user liked to have occurred among second user's the good friend, etc., then can again second user be recommended first user.Perhaps, if second user had formerly selected to dislike first user, be when liking second user and first user selects, then in the process that first user and second attribute of user are monitored, when finding to recommend again, can send recommendation information to second user again.
Certainly as mentioned before, when determining whether again second user to be recommended first user, can also be with the selection information before first user and/or second user as foundation.For example, if first user and second user appear at the other side's in " accurate good friend group " respectively, then the weight of recommending again can increase; If first user and second user appear at the other side's in " accurate stranger group " respectively, the probability of then recommending again can be too not high, and therefore the weight that can recommend again reduces.If monitor the attribute that has occurred meeting prerequisite between first user and second user certainly, then still can recommend again.Certainly, at different situations, again the prerequisite of Tui Jianing can be not quite similar, for example, at above-mentioned condition of between accurate stranger, recommending again can be, if having meet or other to get close to activity, two of discoveries (can find by the modes such as daily record that supervisory user was delivered, for example, monitoring the name that first user delivers is called in the daily record of " party ", the keywords such as name that second user occurred, can learn that then first user and second user may take place or meet or get close to activity), then again second user is recommended first user, etc.
As seen, system can offer the different friend recommendation of user A on the basis of various algorithms, supposes wherein to have one to be user B, and the information of the user B that the system of user A provides is judged, tells whether system likes user B.Can storage is corresponding in the database of own and/or user B if user A likes user B like information so that following the use, user A or system can obtain user A and like remarkable quantity and information, and user B or system can obtain to like the people's of user B quantity and information.After user A selects to like user B, system can be in the database of user A or user B match user B whether like the information of user A, if system discovery user B also liked user A, then system is connected to good friend's relation with user A and user B automatically.
After if user A selects to dislike user B, the information that whether has user B to like or dislike user A can be sought by system, if user B likes user A, the selection that system matches the storage both sides automatically, form a kind of accurate good friend's relation, system can temporarily tie up to (the time in certain threshold range according to this pass, the place, hobby, industry etc.) do not recommend to have certain friend similar or contact with user B to user A, afterwards, attribute to user A and user B is monitored, in case occur the people that user A likes among the good friend of user B, then system can prepare to recommend again user B to give user A in advance, and the weight of recommending user A strengthens.If user B dislikes user A, illustrate that then user A and user B the other side are unsatisfied with, at this moment, because the likelihood ratio of understanding is lower more mutually, so the probability of Tui Jianing can be not high yet again, at this moment, both sides form a kind of accurate stranger's relation, and the weight of recommending again to be familiar with can be lower, certainly, can calculate between them recommended probability again according to the accurate stranger's who calculates threshold value, for example, application detects both sides under the line of social networks meet or the activity of getting close to, and can improve both sides' the rank that concerns, and can be directly recommended rapidly, form good friend's relation or accurate good friend relation.
In order to understand the technical scheme that the embodiment of the invention provides better, with the example in the practical application, the embodiment of the invention is introduced in more detail below.
Suppose that Xiao Ming signs in in the social networking system, by system recommendation a friend little red, Xiao Ming thinks that the little red industry degree of correlation with oneself is very high, be again the contemporary, want to be familiar with little red, select to like her, system finds automatically, for a short time, redly in browsing before Xiao Ming has also been made the selection of liking, at this moment, system is namely Xiao Ming with redly couple together the good friend who becomes in the social networks and concern for a short time.
When Xiao Ming selects to dislike little when red, system can be according to little each red attribute, comparative analysis Xiao Ming's attribute, avoid recommending Xiao Ming and the little red various similar or related friends that exist, when the object that exists Xiao Ming to like among the little red good friend, can weaken the above-mentioned strategy recommended avoided, when various attribute compatible degrees more and more higher, the people who is liked by Xiao Ming among the little red good friend is more and more, Xiao Ming and theys' compatible degree is more and more higher and when surpassing certain threshold value, system recommends little red in Xiao Ming's understanding again, and promotes Xiao Ming and little red formation good friend relation.In this process, the little red Xiao Ming that likes or dislike, become an important evidence that both sides is concerned judgement, can define be as the criterion good friend or accurate stranger relation, automatically judge the height of the both sides' compatible degree this relationship strength of going forward one by one or go down according to system, so that reflection both sides' a kind of far and near relation.
Do not form the Xiao Ming of the relation of good friend on the line and little red, in actual life, meet or carried out the activity of getting close to, system is by detecting and be prompted to again both sides someway, can confirm and makes both sides form good friend's relation the recommendation that system provides when both sides feel that the other side is the people who oneself wants to be familiar with.
In a word, in embodiments of the present invention, recommending to set up in the process of customer relationship with other users to the user, if temporarily can't directly between two users, set up customer relationship, can temporarily preserve recommendation information, if in follow-up monitor procedure, find that the attribute of prerequisite has appearred meeting in the user, then can recommend again.Therefore, once recommend to have survival, when recommending again, do not need to re-use algorithm and calculate, the computational resource in can the saving system.
Corresponding with the method for setting up customer relationship that the embodiment of the invention provides, the embodiment of the invention also provides a kind of system that sets up customer relationship, and referring to Fig. 2, this system can comprise:
Again recommendation unit 204, be used for the user of the selection information correspondence of preserving is carried out the attribute monitoring, when monitoring described first user and/or second user when occurring meeting the attribute of prerequisite, again send recommendation information to described first user or second user, in order between described first user and described second user, set up customer relationship.
Wherein, preserving unit 203 can comprise:
First preserves subelement, is used for when not accepting to recommend entrance to enter, preserving described first user's selection information by described as described first user.
In actual applications, this system can also comprise:
Indexing unit, be used for when described first user by described when not accepting to recommend entrance to enter, according to described first user and second attribute of user, mark the temporary transient user who does not recommend to described first user, the described temporary transient user who does not recommend to described first user comprises: have the user of like attribute with described second user, and have the user of customer relationship with described second user.
Perhaps, preserving unit 203 also can comprise:
Second preserves subelement, be used for when described first user recommends entrance to enter by described acceptance, if do not recommend described first user to described second user, perhaps, once recommend described first user but described second user does not recommend entrance to enter from described acceptance to described second user, then preserved described first user's selection information.
In actual applications, this system can also comprise:
Adjustment unit is used for carrying out the weight adjustment according to described selection information to resending recommendation information.
In addition, this system can also comprise:
Customer relationship is set up the unit, be used for when described first user recommends entrance to enter by described acceptance, judge whether once to recommend described first user to described second user, and described second user recommends entrance to enter from described acceptance, if then between described first user and described second user, set up customer relationship.
In a word, set up in the system at the customer relationship that the embodiment of the invention provides, recommending to set up in the process of customer relationship with other users to the user, if temporarily can't directly between two users, set up customer relationship, can temporarily preserve recommendation information, if in follow-up monitor procedure, find that the attribute of prerequisite has appearred meeting in the user, then can recommend again.Therefore, once recommend to have survival, when recommending again, do not need to re-use algorithm and calculate, the computational resource in can the saving system.
As seen through the above description of the embodiments, those skilled in the art can be well understood to the present invention and can realize by the mode that software adds essential general hardware platform.Based on such understanding, the part that technical scheme of the present invention contributes to prior art in essence in other words can embody with the form of software product, this computer software product can be stored in the storage medium, as ROM/RAM, magnetic disc, CD etc., comprise that some instructions are with so that a computer equipment (can be personal computer, server, the perhaps network equipment etc.) carry out the described method of some part of each embodiment of the present invention or embodiment.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, and identical similar part is mutually referring to getting final product between each embodiment, and each embodiment stresses is difference with other embodiment.Especially, for device or system embodiment, because it is substantially similar in appearance to method embodiment, so describe fairly simplely, relevant part gets final product referring to the part explanation of method embodiment.Apparatus and system embodiment described above only is schematic, wherein said unit as the separating component explanation can or can not be physically to separate also, the parts that show as the unit can be or can not be physical locations also, namely can be positioned at a place, perhaps also can be distributed on a plurality of network element.Can select wherein some or all of module to realize the purpose of present embodiment scheme according to the actual needs.Those of ordinary skills namely can understand and implement under the situation of not paying creative work.
More than to the method and system of setting up customer relationship provided by the present invention, be described in detail, used specific case herein principle of the present invention and execution mode are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, part in specific embodiments and applications all can change.In sum, this description should not be construed as limitation of the present invention.
Claims (12)
1. a method of setting up customer relationship is characterized in that, comprising:
The algorithm that utilization is preset is not calculating between the user of opening relationships as yet;
When calculating to recommend second user for first user time, send recommendation information to described first user, and provide to the user and to select to accept the entrance recommending and do not accept to recommend;
In the time can't directly between described first user and described second user, setting up customer relationship according to described first user's selection information, preserve described first user's selection information;
User to the selection information correspondence of preserving carries out the attribute monitoring, when monitoring described first user and/or second user when occurring meeting the attribute of prerequisite, again send recommendation information to described first user or second user, in order between described first user and described second user, set up customer relationship.
2. method according to claim 1 is characterized in that, and is described in the time can't directly setting up customer relationship between described first user and described second user according to described first user's selection information, preserves described first user's selection information, comprising:
When described first user when not accepting to recommend entrance to enter, preserves described first user's selection information by described.
3. method according to claim 2 is characterized in that, when described first user, also comprises when not accepting to recommend entrance to enter by described:
According to described first user and second attribute of user, mark the temporary transient user who does not recommend to described first user, the described temporary transient user who does not recommend to described first user comprises: have the user of like attribute with described second user, and have the user of customer relationship with described second user.
4. method according to claim 1 is characterized in that, and is described in the time can't directly setting up customer relationship between described first user and described second user according to described first user's selection information, preserves described first user's selection information, comprising:
When described first user recommends entrance to enter by described acceptance, if do not recommend described first user to described second user, perhaps, once recommend described first user but described second user does not recommend entrance to enter from described acceptance to described second user, then preserved described first user's selection information.
5. according to each described method of claim 1 to 4, it is characterized in that, also comprise:
Carry out the weight adjustment according to described selection information to resending recommendation information.
6. method according to claim 1 is characterized in that, also comprises:
When described first user recommends entrance to enter by described acceptance, judge whether once to recommend described first user to described second user, and described second user recommends entrance to enter from described acceptance, if then set up customer relationship between described first user and described second user.
7. a system that sets up customer relationship is characterized in that, comprising:
Computing unit is used for utilizing the algorithm that presets, and is not calculating between the user of opening relationships as yet;
Recommendation unit is used for sending recommendation information when calculating need recommend second user for first user time to described first user, and provides to select to accept to recommend to reach to the user and do not accept the entrance recommended;
Preserve the unit, be used in the time can't directly between described first user and described second user, setting up customer relationship according to described first user's selection information, preserving described first user's selection information;
Again recommendation unit, be used for the user of the selection information correspondence of preserving is carried out the attribute monitoring, when monitoring described first user and/or second user when occurring meeting the attribute of prerequisite, again send recommendation information to described first user or second user, in order between described first user and described second user, set up customer relationship.
8. system according to claim 7 is characterized in that, described preservation unit comprises:
First preserves subelement, is used for when not accepting to recommend entrance to enter, preserving described first user's selection information by described as described first user.
9. system according to claim 8 is characterized in that, also comprises:
Indexing unit, be used for when described first user by described when not accepting to recommend entrance to enter, according to described first user and second attribute of user, mark the temporary transient user who does not recommend to described first user, the described temporary transient user who does not recommend to described first user comprises: have the user of like attribute with described second user, and have the user of customer relationship with described second user.
10. system according to claim 7 is characterized in that, described preservation unit comprises:
Second preserves subelement, be used for when described first user recommends entrance to enter by described acceptance, if do not recommend described first user to described second user, perhaps, once recommend described first user but described second user does not recommend entrance to enter from described acceptance to described second user, then preserved described first user's selection information.
11. according to each described system of claim 7 to 10, it is characterized in that, also comprise:
Adjustment unit is used for carrying out the weight adjustment according to described selection information to resending recommendation information.
12. system according to claim 7 is characterized in that, also comprises:
Customer relationship is set up the unit, be used for when described first user recommends entrance to enter by described acceptance, judge whether once to recommend described first user to described second user, and described second user recommends entrance to enter from described acceptance, if then between described first user and described second user, set up customer relationship.
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| CN2012100075545A CN103209111A (en) | 2012-01-11 | 2012-01-11 | Method and system for building user relationship |
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| CN2012100075545A CN103209111A (en) | 2012-01-11 | 2012-01-11 | Method and system for building user relationship |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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