CN106777382A - Social friends recommend method, device and server - Google Patents
Social friends recommend method, device and server Download PDFInfo
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- 230000006399 behavior Effects 0.000 description 58
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Abstract
Recommend method, device and server the invention discloses a kind of social friends.Wherein, the method comprises the following steps：The social friends recommendation request of request user is received, the recommendation request includes default recommendation condition；In the restriction range of the recommendation condition, the behavioral data of the first association user being associated with the request user accordingly is obtained, the first behavioural characteristic of first association user is extracted from the behavioral data；The second association user with the second behavioural characteristic is searched in presetting database, second behavioural characteristic reaches predetermined matching degree with first behavioural characteristic, it is determined that the user to be recommended being associated with second association user；To the information of user to be recommended described in the request user feedback.The present invention enriches the mode for recommending social good friend, helps user to find the social friends for meeting user's request, improves the intellectuality of Consumer's Experience and product.
Description
Technical field
The present invention relates to Internet technical field, method, device and service are recommended more particularly, to a kind of social friends
Device.
Background technology
Children's wrist-watch is a kind of emerging wearable device for being exclusively used in children, and its is vdiverse in function, can play music, clap
Photo, voice call etc. are taken the photograph, it is deep to be liked by child.With the expansion of its function, children's wrist-watch is also to guarantee children
The direction of safety is developed.
Generally, children's wrist-watch can mutually be bound with the mobile phone of parent.Children's wrist-watch can monitor the behavior of children, and will be corresponding
Data is activation is to parent, so that parent understands the situation of oneself child at any time.For parent, child is always stubborn and stupid active
, parent wishes to find other parents with identical situation, such that it is able to share the gains in depth of comprehension for educating one's children together, and it is existing
Technology has no corresponding friend recommendation method, it is impossible to meet the demand of user.It is existing to recommend social good friend from for another angle
Method it is also excessively single, be unfavorable for product to intelligent direction develop.
The content of the invention
In view of the above problems, the present invention proposes a kind of social friends recommendation method, device and server, enriches recommendation
The mode of social good friend, helps user to find the social friends for meeting user's request, improves the intelligence of Consumer's Experience and product
Energyization.
According to the first aspect of the invention, the present invention provides a kind of social friends recommendation method, comprises the following steps：
The social friends recommendation request of request user is received, the recommendation request includes default recommendation condition；
In the restriction range of the recommendation condition, the first association that obtain is associated with the request user accordingly is used
The behavioral data at family, extracts the first behavioural characteristic of first association user from the behavioral data；
The second association user with the second behavioural characteristic, second behavioural characteristic and institute are searched in presetting database
State the first behavioural characteristic and reach predetermined matching degree, it is determined that the user to be recommended being associated with second association user；
To the information of user to be recommended described in the request user feedback.
Preferably, when the user to be recommended has multiple, the second behavioural characteristic and institute according to the second association user
The matching degree for stating the first behavioural characteristic carries out ranking to the user to be recommended that second association user is associated；
Ranking of the packet of the user to be recommended containing user to be recommended.
Preferably, when not having the second association user of the second behavioural characteristic in presetting database, the matching degree is reduced,
Again the 3rd association user being characterized with the third line is searched, described the third line is characterized and is reached with first behavioural characteristic
Matching degree after reduction, it is determined that the user to be recommended being associated with the 3rd association user.
Preferably, receive the good friend for asking user the to send addition request and ask to send to institute by good friend addition
State recommended user.
Preferably, the addition License Info of recommended user's feedback is received, the recommended user and request user is added
In adding to mutual buddy list.
Preferably, it is described to it is described request user feedback described in user to be recommended information the step of after, also including such as
Lower step：
Control idsplay order is sent to the request user to implement to show default good friend's addition control in user interface.
Preferably, the behavioral data include characterizing first association user within a predetermined period of time behavior by sensing
Multiple behavioral datas of device collection.
Preferably, the step of first behavioural characteristic that first association user is extracted from the behavioral data
Suddenly, specially：The behavior that predetermined quantity is reached in the behavior that the behavioral data is characterized is counted, according to default mapping relations,
It is determined that being mapped in the behavioural characteristic of the behavior.
Preferably, the recommendation condition includes time limit and/or region location.
Preferably, the first user and the social relationships of the second user are parent child relationship.
According to the second aspect of the invention, the present invention provides a kind of social friends recommendation apparatus, including：Receiver module, uses
In the social friends recommendation request for receiving request user, the recommendation request includes default recommendation condition；Extraction module, is used for
In the restriction range of the recommendation condition, the behavior of the first association user being associated with the request user accordingly is obtained
Data, extract the first behavioural characteristic of first association user from the behavioral data；Determining module, for default
The second association user with the second behavioural characteristic, second behavioural characteristic and first behavioural characteristic are searched in database
Predetermined matching degree is reached, it is determined that the user to be recommended being associated with second association user；Feedback module, for being asked to described
Seek the information of user to be recommended described in user feedback.
Preferably, also including ranking module, for when the user to be recommended has multiple, according to the second association user
The user to be recommended that is associated to second association user with the matching degree of first behavioural characteristic of the second behavioural characteristic
Carry out ranking；
Ranking of the packet of the user to be recommended containing user to be recommended.
Preferably, also including weight searching modul, for when the second pass without the second behavioural characteristic in presetting database
During combination family, the matching degree is reduced, the 3rd association user being characterized with the third line is searched again, described the third line is characterized
The matching degree after reducing is reached with first behavioural characteristic, it is determined that the use to be recommended being associated with the 3rd association user
Family.
Preferably, also including request receiving module, the good friend's addition for receiving the request user transmission is asked and will
Good friend's addition request is sent to the recommended user.
Preferably, also including license receiver module, the addition License Info for receiving recommended user's feedback, by institute
State recommended user and request user is added in mutual buddy list.
Preferably, also including good friend's add module, for sending control idsplay order to implement to the request user
User interface shows default good friend's addition control.
Preferably, the behavioral data include characterizing first association user within a predetermined period of time behavior by sensing
Multiple behavioral datas of device collection.
Preferably, the extraction module is used to count the row for reaching predetermined quantity in the behavior that the behavioral data is characterized
For according to default mapping relations, it is determined that being mapped in the behavioural characteristic of the behavior.
Preferably, the recommendation condition includes time limit and/or region location.
Preferably, the first user and the social relationships of the second user are parent child relationship.
According to the third aspect of the invention we, the present invention provides a kind of server, including above-mentioned social friends recommendation apparatus.
Relative to prior art, the present invention has the following technical effect that：
1. the behavioural characteristic of first association user is determined according to the behavioral data, different from prior art with user
Interest or good friend's quantity are the foundation of commending friends, and the present invention is using the behavioural characteristic of association user as recommendation social friends
Foundation, then the user to be recommended being associated with the second association user is searched, wherein, the second recommended user is special with second behavior
Levy and reach predetermined matching degree with first behavioural characteristic, thus, the present invention is by having identical or phase between association user
Like behavioural characteristic, this key element is that user searches user to be recommended, enriches the mode for recommending social good friend, more intelligent.
2. again to request user feedback described in user to be recommended information after, request user can add it is to be recommended preferably
Friend, so as to for user recommends the social friends for meeting user's request, improve Consumer's Experience.
The aspects of the invention or other aspects can more straightforwards in the following description.
Brief description of the drawings
Technical scheme in order to illustrate more clearly the embodiments of the present invention, below will be to that will make needed for embodiment description
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for
For those skilled in the art, on the premise of not paying creative work, can also obtain other attached according to these accompanying drawings
Figure.
Fig. 1 is the structural representation of the system of an embodiment of the present invention；
Fig. 2 recommends the flow chart of method for the social friends of an embodiment of the present invention；
Fig. 3 is the structural representation of the social friends recommendation apparatus of an embodiment of the present invention.
Specific embodiment
In order that those skilled in the art more fully understand the present invention program, below in conjunction with the embodiment of the present invention
Accompanying drawing, is clearly and completely described to the technical scheme in the embodiment of the present invention.
In some flows of description in description and claims of this specification and above-mentioned accompanying drawing, contain according to
Multiple operations of particular order appearance, but it should be clearly understood that these operations can not be according to the suitable of its appearance herein
Sequence is performed or executed in parallel, the sequence number such as 101,102 etc. of operation, is only used for distinguishing each different operation, sequence number
Any execution sequence is not represented for itself.In addition, these flows can include more or less operation, and these operations can
To perform in order or executed in parallel.It should be noted that " first ", " second " herein etc. describes, it is for distinguishing not
Same message, equipment, module etc., does not represent sequencing, and it is different types also not limit " first " and " second ".
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Site preparation is described, it is clear that described embodiment is only a part of embodiment of the invention, rather than whole embodiments.It is based on
Embodiment in the present invention, the every other implementation that those skilled in the art are obtained under the premise of creative work is not made
Example, belongs to the scope of protection of the invention.
Before specifically being discussed to the present invention, it is necessary to following guiding explanation is carried out to the present invention.
System architecture of the invention is as shown in figure 1, including server 11, wearable device 12 and mobile terminal 13.Can wear
Wear equipment 12 and mobile terminal 13 is logged in the user that is logged on corresponding user, and mobile terminal 13 in application program
Mutually bound each other with the user on wearable device 12.The user logged in mobile terminal 13 is i.e. as wearable device 12
Keeper, the highest authority with management wearable device 12 for example adjusts the alarm clock of wearable device 12, checks wearable setting
Operation that standby 12 users are implemented to wearable device 12 etc., supervises such that it is able to the user to wearable device 12
Superintend and direct, to understand its situation in real time.Certainly, the user that is logged in mobile terminal 1 mentioned here 3 and wearable device 12 make
User, its social relationships are typically parent child relationship, can be specifically set membership, father and daughter's relation, mother-child relationship (MCR) or mother and daughter relationship.
The embodiment of the present invention provides a kind of social friends and recommends method, and the method is described from server side, such as Fig. 2 institutes
Show, it comprises the following steps：
S101：The social friends recommendation request of request user is received, the recommendation request includes default recommendation condition.
The mobile terminal logged in request user is provided with corresponding control unit, and the control unit can be specifically empty
Intend button, link or icon etc., it is of course also possible to the physical button being set as on mobile terminal.For example, in the use of mobile terminal
Family interface sets " looking for " button.When user touches or chooses the control unit, the control unit is activated, and then enables
Recommend social friends function, the social friends recommendation request for characterizing request recommending friends is sent to server, server is received
After the recommendation request, the legitimacy of the recommendation request can be verified, whether the user of such as checking request side has corresponding authority,
Or verify the recommendation request whether comprising illegal contents etc..When the recommendation request is legal, server will perform step S101
Subsequent step.Wherein, the recommendation request also includes default recommendation condition, looking into for subsequent server of the recommendation term restriction
Scope is looked for, in subsequent step, through being described in detail.
Certainly, server can recommend social friends from trend user.Specifically, when can recommend for user's setting is predetermined
Between, such as at 8 points in evening Tuesday.If current time is coincide with the recommendation time, implement the present embodiment, perform step S101
And subsequent step.Server can be that all registered users set the same or like recommendation time, or different user sets
The fixed different recommendation time.Certainly, from for user perspective, mobile terminal provides corresponding setting options, it is allowed to which user changes
The recommendation time, further, there is provided corresponding setting options, it is allowed to which user is turned on and off the automatic recommendation function.
S102：In the restriction range of the recommendation condition, first for being associated with the request user accordingly is obtained
The behavioral data of association user, extracts the first behavioural characteristic of first association user from the behavioral data.
It is logged in being preinstalled with microphone, gyroscope, camera, infrared ray sensing on the wearable device of the first association user
Any one or more sensor such as device, shock sensor, blood pressure monitor and displacement transducer, the sensor is coordinated with each other
Work, the user (typically children) to wearable device carries out implementation monitoring, and this monitoring can be round-the-clock real-time
Monitoring, it is also possible to be directed to the temporary monitoring of special time.Can be obtained by monitoring and characterize wearable device local environment
Voice data and view data, the geographic position data for characterizing children present position, the bearing data for characterizing children's sport direction
And the sign data of sign children's torso situation, after above-mentioned initial data is through conclusion and arrangement, can be carried out according to time sequencing
Storage, forms the behavioral data for characterizing child behavior action.Behavior data constitute behavior collection of the children in special time
Close, including the activity that the location of children, health and children are carried out etc..Above-mentioned behavioral data can be stored in can be worn
In wearing equipment or server, in view of the limited storage space of wearable device, is normally stored in server.
Recommendation request includes default recommendation condition, and the recommendation condition can be specifically time limit, region location or the
Hobby of one association user etc..When asking user to send social friends recommendation request, asking the UI Preferences of user has
Corresponding to recommend condition setting window, in the window, request user can select to recommend condition accordingly.The time limit is limited
The time of the first association user behavior, the specifically generation time of behavioral data are determined, the region location defines the first association
The generation place in the behavior place of user, specifically behavioral data.
Server is parsed corresponding after the social friends recommendation request for receiving request user from the recommendation request
Recommendation condition.So as in the restriction range of the condition of recommendation, obtain the first association being associated with the request user accordingly
The behavioral data of user.In a kind of example, it is " nearest three months " to recommend condition, then server will obtain the first association user
Behavioral data in nearest three months, recommendation condition can also be " school ", then server will obtain the first association user and exist
The behavioral data that school produces.Specifically, the corresponding information of request user, such as user name, account coding etc., foundation are obtained
Above-mentioned user profile searches the first association user being associated with request user, and then reads the row of first association user again
It is data.Wherein, request user specifically refers to request user and the first association user with the incidence relation of the first association user
It is mutual contact person, or refers to that request user binds each other with the first association user.It is being applied to the scene of the present embodiment
When, request user is " father and mother ", and the first association user is relative " children ", and request user ties up each other with the first association user
It is fixed.
In some cases, the user being associated with request user may have multiple, and in this case, server can be given tacit consent to
It is first with the user that is associated of request user for the first association user or acquiescence it is more with request user mutual (chat record
Quantity it is more or chat frequency it is higher) user be the first association user.But being arranged such may be not easy to user and use.
Thus in another implementation, when the user for detecting and request user is associated has multiple, to request user feedback
User associated there's information, is associated so as to the mobile terminal display logged in request user is multiple with request user
User selects for user, when asking user to select a certain association user, selected association user is fed back into server,
Server will the user be set as the first association user, so as to obtain the behavioral data of first association user.
After the behavioral data for getting the first association user, wherein each behavioral data is parsed, determine the row
By the behavior of the first association user that data are characterized.When user behavior is determined according to behavioral data, sign need to be considered
The voice data and view data of the first association user local environment, the geographical position number for characterizing the first association user present position
According to, characterize the first association user direction of motion bearing data, characterize the first association user health sign data and
Time data etc..
In one implementation, the mapping relations list of behavioral data and behavior can be preset, in the mapping relations
In list, same behavior has corresponding behavioral data.Acquired each behavioral data is matched to the mapping relations
In list, it may be determined that be mapped in the behavior of behavior data.In a kind of example, the geographic position data of association user is characterized and closed
Combination family is in basketball court, and motion bearing data characterizes association user and changes repeatedly in a short time, and sign data characterizes association
The arm of user has and swings repeatedly, summary data, and in mapping relations list, the corresponding behavior of above-mentioned data is to make basket
Ball.In another example, the geographic position data of association user characterizes association user and is located at kindergarten, and voice data characterizes it
Local environment has the sound of many children, and in mapping relations list, the corresponding behavior of above-mentioned data is to play noisy with child.
In another implementation, the computation model of predeterminable behavioral data exports the behavior by the computation model
Behavior corresponding to data.The computation model can simulate the possible corresponding behavior of behavioral data, then by between each data
Contact, behavior of the output with maximum likelihood.As above example, the geographical position of user is shown as basketball court, then can simulate
Corresponding behavior is probably to play basketball, pass by basketball court etc., and its motion orientation changes repeatedly in a short time, then can simulate
Corresponding behavior is probably rotating, plays games or sit roller-coaster etc. in recreation ground, and the swing repeatedly of arm can then be simulated
Going out corresponding behavior is on foot, pats jobbie etc..Consider the association between above-mentioned various actions data, it may be determined that its behavior
Most likely play basketball.
Certainly, the behavior of the first association user is not limited to example, specifically determines that the data of its behavior are also not necessarily limited to example institute
Be given, those skilled in the art can determine the first association when concrete application scene is combined according to corresponding behavioral data
The behavior of user, will not be described here.
After its behavior is determined according to behavioral data, statistics each behavior in the range of the restriction of behavior data occurs
Number of times, filters out behavior of the occurrence number more than pre-determined number, then according to the mapping relations row of default behavior and behavioural characteristic
Table, determines the behavioural characteristic of the first association user.Wherein, the restriction scope of behavioral data is the restriction scope of recommendation condition.OK
The embodiment of the behavioural habits or behavioral characteristic that are user is characterized, the more behavior of occurrence number is often the straight of its behavioural characteristic
Performance is connect, therefore the screening to its behavior in the range of the restriction of behavioral data is set, only will appear from number of times more than pre-determined number
Behavior as determine its behavioural characteristic foundation.
In the mapping relations list of the behavior and behavioural characteristic, same user has one or more behavioural characteristics, together
One behavioural characteristic can be mapped in one or more behaviors, and these multiple behaviors have corresponding denominator, the denominator
The as embodiment of behavioural characteristic.For example, the behavior of user is played basketball, run, then can determine that its behavioural characteristic is moved for love.With
The behavior at family have reading, write, English learning, then can determine its behavioural characteristic for like study.
S103：The second association user with the second behavioural characteristic is searched in presetting database, second behavior is special
Levy and reach predetermined matching degree with first behavioural characteristic, it is determined that the user to be recommended being associated with second association user.
After the behavioural characteristic that first association user is determined, search the second association with the second behavioural characteristic and use
Family, wherein, the second behavioural characteristic reaches predetermined matching degree with first behavioural characteristic.In the database of server, storage
There is the behavioral data of multiple second association users.According to behavior data, it may be determined that the behavioural characteristic of the second association user.
When determining the behavioural characteristic of the second association user, it may be determined that its behavioural characteristic is to recommend the behavior in the range of constraint special
Levy, it is also possible to be defined as its historical behavior feature.According to the relevance between behavioural characteristic, the matching between behavioural characteristic is determined
Degree, when behavioural characteristic has multiple, according to the number of identical behavioural characteristic, determines its matching degree, for example, the first association user
Behavioural characteristic to play basketball, read a book, the behavioural characteristic of the second association user is to see TV, play basketball, the joint act of the two
It is characterized in play basketball, then the first association user has certain matching degree with the second association user.It is of course also possible to according to behavior
Subordinate relation or closeness relation between feature, determine its matching degree.For example, the behavioural characteristic of the first association user is transported for love
Dynamic, study, the behavioural characteristic of the second association user is to read a book, play basketball, and the joint act of the two is characterized in correlation, then
First association user has certain matching degree with the second association user.The concrete numerical value of the matching degree is specified by system.
Server is searched in presetting database and reaches predetermined matching degree with the first behavioural characteristic of the first association user
Second behavioural characteristic of the second association user, then according to binding relationship, it is determined that waiting of being associated with second association user pushes away
Recommend user.When the present embodiment is applied to, the first association user and the second association user are child user, are closed with first respectively
Combination family and the associated user of the second association user are then corresponding father and mother.Thus be associated with the second association user wait push away
It refers to the user mutually bound with the second association user to recommend user.
S104：To the information of user to be recommended described in the request user feedback.
After the user to be recommended being associated with the second association user with the identical behavioural characteristic is found, by this
The feedback of the information of user to be recommended is to asking user.The information of the user to be recommended for being fed back includes the user of user to be recommended
The information such as name, address, phone, personal brief introduction.Certainly, user to be recommended can set the disclosed information of permission, so that only to please
Asking user feedback allows disclosed information, will be protected as privacy of user for nonpublic information.When user's to be recommended
When quantity has multiple, server can be sent to request user the information of all users to be recommended with tabular form.
On the basis of above-described embodiment, it is necessary to which with reference to specific application example, the present invention will be described.Above-mentioned
Mobile terminal is specially mobile phone, and wearable device is specially children's wrist-watch.Cellphone subscriber is the father and mother of children wrist-watch user.Youngster
The use of virgin wrist-watch need to be provided with SIM, and the card number of the SIM is the user account as the children using children's wrist-watch,
The user logged on mobile phone mutually binds with the child user.
User uses the corresponding application program of mobile phone open, enters into social friends and recommends interface, clicks on " looking for " and presses
Key, opens social friends recommendation function, has concurrently set recommendation condition for " school ", to ask to search social friends.Service
Device will read the information of request user, then search the child user mutually bound with request user, meanwhile, search child user
Behavioral data in school, and the behavioural characteristic of the child user is determined according to behavior data, if the child user
Behavioural characteristic is to like football and like reading.Server will search the same behavioral trait for having and liking football and like reading
Child user, then the user to be recommended mutually bound with the child user is determined, so as to by the feedback of the information of the user to be recommended
To request user, realize to its recommending friends.
In one embodiment, after step S103, also comprise the following steps：Receive the good friend that the request user sends
Addition request is simultaneously sent to the recommended user good friend addition request.
Specifically, while to the information of user to be recommended described in request user feedback, also to where request user
Mobile terminal send default good friend's addition control idsplay order, according to the instruction, mobile terminal will show this in user interface
Good friend adds control.Good friend addition control can be associated with the information of user to be recommended, so that show together, and each is treated
Recommended user can set good friend addition control.The effect of good friend addition control is to allow that user adds and treats that request is used
Family is good friend, and it can be specifically virtual key, link or icon etc..Request user is reading the information of user to be recommended
Afterwards, it is good friend if desired for the user to be recommended is added, the good friend can be chosen to add control, the good friend adds control and then swashed
Living, the good friend that request addition good friend is characterized so as to be sent to server adds request, and server parses good friend addition request, from
It is middle to determine that the good friend adds the targeted object of request, then good friend addition request is sent good extremely with what request user was chosen
The related user to be recommended of friend's addition control, to wait whether the user to be recommended allows addition.
Further, the mobile terminal where user to be recommended, can be in user circle after good friend addition request is received
Face display good friend's addition message.When user to be recommended clicks on the message with the details for checking the message, mobile terminal will show
Default bullet frame, in the bullet frame, be provided with request user information and it is default allow addition control and refusal addition control
Part.User to be recommended can know the relevant information of request user, and then be needed according to itself, decide whether that license is added
Friend.If user's license request user to be recommended adds good friend, this can be chosen to allow to add control, and then to server feedback table
Levy the addition License Info that license request user adds good friend.
After server receives the information, the user to be recommended and request user are added to mutual buddy list
In, make two people turn into good friend, while server also can to will the user to be recommended and request user push sign two people into
It is the message of good friend.Mobile terminal also provides corresponding chat window, and user to be recommended and request user can be by the chat windows
Mouth carries out communication exchange.
Certainly, if user to be recommended is not intended to request user and adds oneself for good friend, refusal addition control can be clicked on
The addition that refusal request user addition good friend is characterized to server feedback is refused information by part, terminal device, and then refuses request
The request of user, while by the information of request user feedback user's refusal addition to be recommended.
Further, user to be recommended can set the good friend's addition request for not receiving other users, so that other are used
Family cannot be through the above way added to good friend.User to be recommended can also set corresponding validation problem, when request is used
Family request addition its when being good friend, corresponding validation problem bullet frame can be ejected, after the request correct answer of user input, will be automatic
Addition request user is good friend.This mode simplifies user's operation, has also taken into account security.
In one embodiment, when the user to be recommended has multiple, according to the second behavior of the second association user
Feature carries out ranking with the matching degree of first behavioural characteristic to the user to be recommended that second association user is associated；Institute
State the ranking of the packet containing user to be recommended of user to be recommended.
Second behavioural characteristic can have with the matching degree of first behavioural characteristic and turn to the concrete numerical values such as percentage.Work as row
It is characterized during with multiple, according to the number and second of identical behavioural characteristic in the second behavioural characteristic and first behavioural characteristic
The ratio of behavioural characteristic and/or the first behavioural characteristic sum, determines its matching degree.For example, the behavioural characteristic of the first association user
To play basketball, reading a book, the behavioural characteristic of the second association user is to see TV, play basketball, and the joint act of the two is characterized in make basket
Ball, then the first association user and the matching degree of the second association user are 50%.It is of course also possible to according between behavioural characteristic from
Category relation or closeness relation determine matching degree, and subordinate pass is belonged in the behavioural characteristic of concrete foundation second and first behavioural characteristic
The number of the behavioural characteristic of system or closeness relation and the second behavioural characteristic and/or the ratio of the first behavioural characteristic sum, determine it
Matching degree.For example, the behavioural characteristic of the first association user is love motion, study, the behavioural characteristic of the second association user be reading,
Play basketball, the matching degree of the two behavioural characteristic is 50%.When behavioural characteristic only has one, according to the second behavioural characteristic and first
Behavioural characteristic similarity determines its matching degree, for example, the behavioural characteristic of the first association user is moved for love, the second association user
Behavioural characteristic is reading, and the behavioural characteristic of the 3rd association user is to play soccer, then the 3rd association user and the first association user row
The matching degree being characterized is better than the second association user.
So as to carry out ranking to corresponding user to be recommended according to the matching degree, to the to be recommended of the request user feedback
The packet of user contains the ranking, asks the user interface of user and will show the user profile and its ranking of user to be recommended.Or
Person, request user where mobile terminal will read the ranking, and according to the ranking by the information of user to be recommended according to list
Form carries out priority ranking.Consequently facilitating user distinguishes, more favourable user finds the social good friend for meeting its demand, further
Lifting Consumer's Experience.
In one embodiment, when not having the second association user of the second behavioural characteristic in presetting database, reduce
The numerical value of set matching degree, and the 3rd association user being characterized with the third line is searched again, described the third line is spy
Levy and reach the matching degree after reducing with first behavioural characteristic, it is determined that the use to be recommended being associated with the 3rd association user
Family.
In view of the behavioural characteristic difference between different association users is various, and the wearable device of association user can be collected
Behavioral data it is also otherwise varied, search the second behavioural characteristic the second association user when, it is likely that occur without relative users
Result.In this case, it is possible to decrease the numerical value of set matching degree, search again.Matching degree after reduction is according to association
User situation rationally determines, meanwhile, the minimum of matching degree is set with, the matching degree after reduction must not be less than the minimum.This
Embodiment considers the otherness of behavioural characteristic between different association users, can change matching value according to lookup result, so that
More hommization.
The embodiment of the present invention additionally provides a kind of social friends recommendation apparatus, as shown in figure 3, it includes：Receiver module
201, the social friends recommendation request for receiving request user, the recommendation request includes default recommendation condition；Extract mould
Block 202, in the restriction range of the recommendation condition, obtaining the first association being associated with the request user accordingly
The behavioral data of user, extracts the first behavioural characteristic of first association user from the behavioral data；Determining module
203, for searching the second association user with the second behavioural characteristic, second behavioural characteristic and institute in presetting database
State the first behavioural characteristic and reach predetermined matching degree, it is determined that the user to be recommended being associated with second association user；Feedback mould
Block 204, for the information to user to be recommended described in the request user feedback.
In one embodiment, also including ranking module, for when the user to be recommended has multiple, according to second
The matching degree of the second behavioural characteristic of association user and first behavioural characteristic is to treating that second association user is associated
Recommended user carries out ranking；
Ranking of the packet of the user to be recommended containing user to be recommended.
In one embodiment, also including weight searching modul, for when in presetting database do not have the second behavioural characteristic
The second association user when, reduce the matching degree, the 3rd association user being characterized with the third line, the described 3rd are searched again
Behavioural characteristic and first behavioural characteristic reach the matching degree after reducing, it is determined that with treating that the 3rd association user is associated
Recommended user.
In one embodiment, also including request receiving module, for receiving good friend's addition that the request user sends
Ask and send to the recommended user good friend addition request.
In one embodiment, also including license receiver module, the addition license for receiving recommended user's feedback
Information, the recommended user and request user are added in mutual buddy list.
In one embodiment, also including good friend's add module, for sending control idsplay order to the request user
To implement to show default good friend's addition control in user interface.
In one embodiment, the behavioral data includes characterizing the first association user behavior within a predetermined period of time
By sensor gather multiple behavioral datas.
In one embodiment, the extraction module 202 is used to count and reach in the behavior that the behavioral data is characterized
The behavior of predetermined quantity, according to default mapping relations, it is determined that being mapped in the behavioural characteristic of the behavior.
In one embodiment, the recommendation condition includes time limit and/or region location.
In one embodiment, the first user and the social relationships of the second user are parent child relationship.
The embodiment of the present invention also provides a kind of server, and it includes the social friends recommendation apparatus of above-described embodiment.
The embodiment of above-mentioned social friends recommendation apparatus and server, may be referred to above-mentioned social friends and recommends method part
Embodiment, will not be described here.
It is apparent to those skilled in the art that, for convenience and simplicity of description, the system of foregoing description,
The specific work process of device and unit, may be referred to the corresponding process in preceding method embodiment, will not be repeated here.
In several embodiments provided herein, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Divide, only a kind of division of logic function there can be other dividing mode when actually realizing, for example multiple units or component
Can combine or be desirably integrated into another system, or some features can be ignored, or do not perform.It is another, it is shown or
The coupling each other for discussing or direct-coupling or communication connection can be the indirect couplings of device or unit by some interfaces
Close or communicate to connect, can be electrical, mechanical or other forms.
The unit that is illustrated as separating component can be or may not be it is physically separate, it is aobvious as unit
The part for showing can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be according to the actual needs selected to realize the mesh of this embodiment scheme
's.
In addition, during each functional unit in each embodiment of the invention can be integrated in a processing unit, it is also possible to
It is that unit is individually physically present, it is also possible to which two or more units are integrated in a unit.Above-mentioned integrated list
Unit can both be realized in the form of hardware, it would however also be possible to employ the form of SFU software functional unit is realized.
One of ordinary skill in the art will appreciate that all or part of step in the various methods of above-described embodiment is can
Completed with instructing the hardware of correlation by program, the program can be stored in a computer-readable recording medium, storage
Medium can include：Read-only storage (ROM, Read Only Memory), random access memory (RAM, Random
Access Memory), disk or CD etc..
A kind of server provided by the present invention is described in detail above, for the general technology people of this area
Member, according to the thought of the embodiment of the present invention, will change in specific embodiments and applications, in sum,
This specification content should not be construed as limiting the invention.
Claims (10)
1. a kind of social friends recommend method, it is characterised in that comprise the following steps：
The social friends recommendation request of request user is received, the recommendation request includes default recommendation condition；
In the restriction range of the recommendation condition, the first association user that acquisition is associated with the request user accordingly
Behavioral data, extracts the first behavioural characteristic of first association user from the behavioral data；
The second association user with the second behavioural characteristic, second behavioural characteristic and described the are searched in presetting database
One behavioural characteristic reaches predetermined matching degree, it is determined that the user to be recommended being associated with second association user；
To the information of user to be recommended described in the request user feedback.
2. method according to claim 1, it is characterised in that：
It is special according to the second behavioural characteristic of the second association user and first behavior when the user to be recommended has multiple
The matching degree levied carries out ranking to the user to be recommended that second association user is associated；
Ranking of the packet of the user to be recommended containing user to be recommended.
3. method according to claim 1, it is characterised in that：
When not having the second association user of the second behavioural characteristic in presetting database, the matching degree is reduced, tool is searched again
Have the 3rd association user that the third line is characterized, described the third line be characterized with first behavioural characteristic reach after reducing
With degree, it is determined that the user to be recommended being associated with the 3rd association user.
4. method according to claim 1, it is characterised in that also comprise the following steps：
Receive the good friend for asking user the to send addition request and ask to send to the recommended user by good friend addition.
5. method according to claim 4, it is characterised in that also comprise the following steps：
The addition License Info of recommended user's feedback is received, it is mutual good that the recommended user and request user are added to
In friendly list.
6. method according to claim 4, it is characterised in that：It is described to ask user to be recommended described in user feedback to described
Information the step of after, also comprise the following steps：
Control idsplay order is sent to the request user to implement to show default good friend's addition control in user interface.
7. method according to claim 1, it is characterised in that：
The behavioral data include characterizing first association user within a predetermined period of time behavior by sensor gather it is many
Individual behavioral data.
8. method according to claim 1, it is characterised in that：
It is described first association user is extracted from the behavioral data the first behavioural characteristic the step of, specially：System
The behavior that predetermined quantity is reached in the behavior that the behavioral data is characterized is counted, according to default mapping relations, it is determined that being mapped in this
The behavioural characteristic of behavior.
9. a kind of social friends recommendation apparatus, it is characterised in that including：
Receiver module, the social friends recommendation request for receiving request user, the recommendation request includes default recommendation bar
Part；
Extraction module, in the restriction range of the recommendation condition, obtaining what is be associated with the request user accordingly
The behavioral data of the first association user, extracts the first behavioural characteristic of first association user from the behavioral data；
Determining module, for searching the second association user with the second behavioural characteristic, second row in presetting database
It is characterized and reaches predetermined matching degree with first behavioural characteristic, it is determined that the use to be recommended being associated with second association user
Family；
Feedback module, for the information to user to be recommended described in the request user feedback.
10. a kind of server, it is characterised in that including the social friends recommendation apparatus described in claim 9.
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| CN201710077731.XA CN106777382A (en) | 2017-02-13 | 2017-02-13 | Social friends recommend method, device and server |
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| CN201710077731.XA CN106777382A (en) | 2017-02-13 | 2017-02-13 | Social friends recommend method, device and server |
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