CN105159969A - Social network based user recommendation method and apparatus - Google Patents

Social network based user recommendation method and apparatus Download PDF

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CN105159969A
CN105159969A CN201510527527.4A CN201510527527A CN105159969A CN 105159969 A CN105159969 A CN 105159969A CN 201510527527 A CN201510527527 A CN 201510527527A CN 105159969 A CN105159969 A CN 105159969A
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user
physical trait
trait index
index
prompting message
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CN105159969B (en
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林锦滨
刘东林
邓超锋
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Beijing Xiaomi Technology Co Ltd
Xiaomi Inc
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Xiaomi Inc
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    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/01—Social networking

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Abstract

The present disclosure relates to a social network based user recommendation method and apparatus, and belongs to the field of social networks. The method comprises: when a first terminal detects a viewing operation performed on profile information of a second user by a first user, acquiring a first physical characteristic index of the first user and sending the first physical characteristic index to a server; the server receiving the first physical characteristic index sent by the first terminal, and acquiring a second physical characteristic index of the second user viewing profile information of the first user from stored physical characteristic indexes; and when it is determined that the first physical characteristic index and the second physical characteristic index both fall within a preset value range, sending a first recommendation prompt message to the first terminal, and sending a second recommendation prompt message to the second terminal in which the second user is located. The server can recommend a strange user who is mutually interested in the user to the user, thereby improving a recommendation success rate and improving interactivity and fun.

Description

Based on user's recommend method and the device of social networks
Technical field
The disclosure is directed to field of social network, specifically about a kind of user's recommend method based on social networks and device.
Background technology
Along with the development of social networks, the demand that user expands social circle is more and more higher.In order to meet the demand of user, social application server can recommend strange user to user.
For user A, the data information of each user of social application server for storage, can according to the data information of user A, search the user of mating with the data information of user A, when determining that the data information of the data information of user B with user A mates, the data information of user B is sent to user A by social application server, and the data information of user A is sent to user B.
Summary of the invention
In order to solve Problems existing in correlation technique, present disclose provides a kind of user's recommend method based on social networks and device.Described technical scheme is as follows:
According to the first aspect of disclosure embodiment, provide a kind of user's recommend method based on social networks, described method comprises:
Receive the first physical trait index that first terminal sends, described first physical trait index is the physical trait index of first user when checking the second subscriber information message;
From the physical trait index stored, obtain the second physical trait index of described second user when checking first user data information;
When determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, send first to described first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at described second user place, described first recommends prompting message to comprise described second subscriber information message, and described second recommends prompting message to comprise described first user data information.
In another embodiment, described method also comprises:
Judge whether described first user data information mates with described second subscriber information message;
When described first user data information mates with described second subscriber information message, and the second physical trait index described in described first physical trait exponential sum all reach described default value interval time, send described first to described first terminal and recommend prompting message, and send described second recommendation prompting message to described second terminal.
In another embodiment, describedly judge whether described first user data information mates with described second subscriber information message, comprising:
Judge whether the age of described first user mated with the age of described second user; Or,
Judge whether the geographic position of described first user mates with the geographic position of described second user.
In another embodiment, after the first physical trait index that described reception first terminal sends, described method also comprises:
Set up first user mark, corresponding relation between the second user ID and described first physical trait index.
According to the second aspect of disclosure embodiment, provide a kind of user's recommend method based on social networks, described method comprises:
When detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user;
Described first physical trait index is sent to server, described server is made to obtain the second physical trait index of described second user when checking first user data information, when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, described first recommends prompting message to comprise described second subscriber information message;
Show that described first recommends prompting message.
In another embodiment, described when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user, comprising:
When detect described first user to described second subscriber information message check operation time, in the preset duration after current point in time, receive wearable device send multiple health sensed parameter;
Described multiple health sensed parameter is added up, obtains described first physical trait index.
In another embodiment, described described multiple health sensed parameter to be added up, obtains described first physical trait index, comprising:
Calculate the mean value of described multiple health sensed parameter, obtain described first physical trait index; Or,
Calculate described multiple health sensed parameter and value, obtain described first physical trait index; Or,
Calculate the variance of described multiple health sensed parameter, obtain described first physical trait index.
In another embodiment, described health sensed parameter comprises at least one item in palmic rate and body temperature.
In another embodiment, described when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user, comprising:
When detect described first user to the photo of described second user check operation time, obtain the first physical trait index of described first user.
According to the third aspect of disclosure embodiment, provide a kind of user's recommendation apparatus based on social networks, described device comprises:
Receiver module, for receiving the first physical trait index that first terminal sends, described first physical trait index is the physical trait index of first user when checking the second subscriber information message;
Acquisition module, for from the physical trait index stored, obtains the second physical trait index of described second user when checking first user data information;
Sending module, for when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, send first to described first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at described second user place, described first recommends prompting message to comprise described second subscriber information message, and described second recommends prompting message to comprise described first user data information.
In another embodiment, described device also comprises:
Judge module, for judging whether described first user data information mates with described second subscriber information message;
Described sending module, also for mating with described second subscriber information message when described first user data information, and the second physical trait index described in described first physical trait exponential sum all reach described default value interval time, send described first to described first terminal and recommend prompting message, and send described second recommendation prompting message to described second terminal.
In another embodiment, described judge module is also for judging whether the age of described first user mated with the age of described second user; Or, judge whether the geographic position of described first user mates with the geographic position of described second user.
In another embodiment, described device also comprises:
Corresponding relation building module, for setting up first user mark, corresponding relation between the second user ID and described first physical trait index.
According to the fourth aspect of disclosure embodiment, provide a kind of user's recommendation apparatus based on social networks, described device comprises:
Acquisition module, for when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user;
Sending module, for sending described first physical trait index to server, described server is made to obtain the second physical trait index of described second user when checking first user data information, when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, described first recommends prompting message to comprise described second subscriber information message;
Display module, for showing that described first recommends prompting message.
In another embodiment, described acquisition module also for when detect described first user to described second subscriber information message check operation time, in the preset duration after current point in time, receive wearable device send multiple health sensed parameter; Described multiple health sensed parameter is added up, obtains described first physical trait index.
In another embodiment, described acquisition module also for calculating the mean value of described multiple health sensed parameter, obtains described first physical trait index; Or, calculate described multiple health sensed parameter and value, obtain described first physical trait index; Or, calculate the variance of described multiple health sensed parameter, obtain described first physical trait index.
In another embodiment, described health sensed parameter comprises at least one item in palmic rate and body temperature.
In another embodiment, described acquisition module also for when detect described first user to the photo of described second user check operation time, obtain the first physical trait index of described first user.
According to the 5th aspect of disclosure embodiment, provide a kind of user's recommendation apparatus based on social networks, described device comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Receive the first physical trait index that first terminal sends, described first physical trait index is the physical trait index of first user when checking the second subscriber information message;
From the physical trait index stored, obtain the second physical trait index of described second user when checking first user data information;
When determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, send first to described first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at described second user place, described first recommends prompting message to comprise described second subscriber information message, and described second recommends prompting message to comprise described first user data information.
According to the 6th aspect of disclosure embodiment, provide a kind of user's recommendation apparatus based on social networks, described device comprises:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
When detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user;
Described first physical trait index is sent to server, described server is made to obtain the second physical trait index of described second user when checking first user data information, when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, described first recommends prompting message to comprise described second subscriber information message;
Show that described first recommends prompting message.
The technical scheme that embodiment of the present disclosure provides can comprise following beneficial effect:
The method and apparatus that the present embodiment provides, by detect when first terminal first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, this the first physical trait index is sent to server, this server receives the first physical trait index that first terminal sends, from the physical trait index stored, obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this the first recommendation prompting message comprises this second subscriber information message, this the second recommendation prompting message comprises this first user data information, then this first terminal shows this first recommendation prompting message, this the second recommendation prompting message of this second terminal display.By this server when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, this the second user is recommended to this first user, and recommend this first user to this second user, can recommend and the mutual interested strange user of this user to user, improve recommendation success ratio, enhance interactive and interesting.
And, when this second physical trait index of this first physical trait exponential sum all reaches this default value interval, and this first user data information is when mating with this second subscriber information message, this the second user is recommended to this first user, and recommend this first user to this second user, the strange user that and data information interested mutually with this user can be recommended to mate to user, improves recommendation success ratio.And, by the strange user recommending and age or geographic position interested mutually with this user to mate to user, improve the accuracy of coupling, and then improve recommendation success ratio.
By setting up first user mark, corresponding relation between the second user ID and described first physical trait index, the first physical trait index of this first user when checking the data information of the second user can being inquired about follow-up, improve search efficiency.
Detected by the health sensed parameter of wearable device to user, thus can calculate mean value and the statistical value such as value or variance of health sensed parameter, statistics obtains the first physical trait index, improves statistics accuracy rate.
Adopt at least one item in the palmic rate and body temperature that can embody user's sense organ, add up the first physical trait index, make this first physical trait index can reflect the interest level of first user to the second user exactly, when then recommending according to the first physical trait index of statistics, improve recommendation success ratio.
Obtain the first physical trait index of this first user when checking the photo of this second user, this the first physical trait index can reflect the interest level of this first user to this second user more exactly, when then recommending according to the first physical trait index of statistics, improve recommendation success ratio.
Should be understood that, it is only exemplary that above general description and details hereinafter describe, and can not limit the disclosure.
Accompanying drawing explanation
Accompanying drawing to be herein merged in instructions and to form the part of this instructions, shows and meets embodiment of the present disclosure, and is used from instructions one and explains principle of the present disclosure.
Fig. 1 is the block diagram of a kind of social networking system according to an exemplary embodiment;
Fig. 2 is the process flow diagram of a kind of user's recommend method based on social networks according to an exemplary embodiment;
Fig. 3 is the process flow diagram of a kind of user's recommend method based on social networks according to an exemplary embodiment;
Fig. 4 is the process flow diagram of a kind of user's recommend method based on social networks according to an exemplary embodiment;
Fig. 5 A is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment;
Fig. 5 B is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment;
Fig. 5 C is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment;
Fig. 6 is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment;
Fig. 7 is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment.
Fig. 8 is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment.
Embodiment
For making object of the present disclosure, technical scheme and advantage clearly understand, below in conjunction with embodiment and accompanying drawing, the disclosure is described in further details.At this, exemplary embodiment of the present disclosure and illustrating for explaining the disclosure, but not as to restriction of the present disclosure.
Fig. 1 is the block diagram of a kind of social networking system according to an exemplary embodiment, as shown in Figure 1, this social networking system comprises: first terminal, the second terminal and server, be connected by social networks between this first terminal with server, this second terminal is connected by social networks with between server.
This second terminal be used for when detect the second user to first user data information check operation time, obtain the second physical trait index of this second user, and send this second physical trait index to server.
The second physical trait index that this server sends for receiving the second terminal, and store this second physical trait index.
This first terminal be used for when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, and send this first physical trait index to server.
This server is also for receiving the first physical trait index that first terminal sends, from the physical trait index stored, obtain this second physical trait index, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this the first recommendation prompting message comprises this second subscriber information message, and this second recommendation prompting message comprises this first user data information.
This first terminal is also for showing this first recommendation prompting message.This second terminal is also for showing this second recommendation prompting message.
The system that the present embodiment provides, by detect when first terminal first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, this the first physical trait index is sent to server, this server receives the first physical trait index that first terminal sends, from the physical trait index stored, obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this the first recommendation prompting message comprises this second subscriber information message, this the second recommendation prompting message comprises this first user data information, then this first terminal shows this first recommendation prompting message, this the second recommendation prompting message of this second terminal display.By this server when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, this the second user is recommended to this first user, and recommend this first user to this second user, can recommend and the mutual interested strange user of this user to user, improve recommendation success ratio, enhance interactive and interesting.
In another embodiment, this social networking system can also comprise wearable device, this wearable device is connected with first terminal, and this wearable device, for detecting the current multiple health sensed parameter of this first user, sends multiple health sensed parameter to this first terminal.This first terminal also for receiving the plurality of health sensed parameter, is added up the plurality of health sensed parameter, obtains this first physical trait index.
What deserves to be explained is, this social networks can include but not limited to the software that terminal is installed or application, instant messaging program or social class webpage etc. that operating system carries.
Fig. 2 is the process flow diagram of a kind of user's recommend method based on social networks according to an exemplary embodiment, and as shown in Figure 2, user's recommend method is used for, in server, comprising the following steps:
In step 201, receive the first physical trait index that first terminal sends, this first physical trait index is the physical trait index of first user when checking the second subscriber information message.
In step 202., from the physical trait index stored, obtain the second physical trait index of this second user when checking first user data information.
In step 203, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this the first recommendation prompting message comprises this second subscriber information message, and this second recommendation prompting message comprises this first user data information.
The method that the present embodiment provides, by receiving the first physical trait index of first user when checking the second subscriber information message, from the physical trait index stored, obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this the first recommendation prompting message comprises this second subscriber information message, this the second recommendation prompting message comprises this first user data information, this first terminal is made to show this first recommendation prompting message, this the second recommendation prompting message of this second terminal display.By when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, this the second user is recommended to this first user, and recommend this first user to this second user, can recommend and the mutual interested strange user of this user to user, improve recommendation success ratio, enhance interactive and interesting.
In another embodiment, the method also comprises:
Judge whether this first user data information mates with this second subscriber information message;
When this first user data information mates with this second subscriber information message, and this second physical trait index of this first physical trait exponential sum all reach this default value interval time, send this first recommendation prompting message to this first terminal, and send this second recommendation prompting message to this second terminal.
In another embodiment, this judges whether this first user data information mates with this second subscriber information message, comprising:
Judge whether the age of this first user mated with the age of this second user; Or,
Judge whether the geographic position of this first user mates with the geographic position of this second user.
In another embodiment, after the first physical trait index that this reception first terminal sends, the method also comprises:
Set up first user mark, corresponding relation between the second user ID and this first physical trait index.
Above-mentioned all alternatives, can adopt and combine arbitrarily formation embodiment of the present disclosure, this is no longer going to repeat them.
Fig. 3 is the process flow diagram of a kind of user's recommend method based on social networks according to an exemplary embodiment, and as shown in Figure 3, user's recommend method is used for, in first terminal, comprising the following steps:
In step 301, when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user.
In step 302, this the first physical trait index is sent to server, this server is made to obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, this first recommendation prompting message comprises this second subscriber information message.
In step 303, this first recommendation prompting message is shown.
The method that the present embodiment provides, by when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, this the first physical trait index is sent to server, this server is made to obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, and show this first recommendation prompting message, this the first recommendation prompting message comprises this second subscriber information message.By this server when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, this the second user is recommended to this first user, and recommend this first user to this second user, can recommend and the mutual interested strange user of this user to user, improve recommendation success ratio, enhance interactive and interesting.
In another embodiment, should detect first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, comprising:
When detect this first user to this second subscriber information message check operation time, in the preset duration after current point in time, receive wearable device send multiple health sensed parameter;
The plurality of health sensed parameter is added up, obtains this first physical trait index.
In another embodiment, this is added up the plurality of health sensed parameter, obtains this first physical trait index, comprising:
Calculate the mean value of the plurality of health sensed parameter, obtain this first physical trait index; Or,
Calculate the plurality of health sensed parameter and value, obtain this first physical trait index; Or,
Calculate the variance of the plurality of health sensed parameter, obtain this first physical trait index.
In another embodiment, this health sensed parameter comprises at least one item in palmic rate and body temperature.
In another embodiment, should detect first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, comprising:
When detect this first user to the photo of this second user check operation time, obtain the first physical trait index of this first user.
Above-mentioned all alternatives, can adopt and combine arbitrarily formation embodiment of the present disclosure, this is no longer going to repeat them.
Fig. 4 is the process flow diagram of a kind of user's recommend method based on social networks according to an exemplary embodiment, and as shown in Figure 4, the interaction agent of user's recommend method is first terminal, server and the second terminal, comprises the following steps:
In step 401, when the second terminal detect the second user to first user data information check operation time, obtain the second physical trait index of this second user.
In the present embodiment, the user of the second terminal is called the second user, the user of first terminal is called first user, this first user data information can comprise the photo of this first user, age, constellation, blood group, card information or other information etc., this first user data information can also comprise the user ID of this first user, i.e. first user mark, this first user mark is used for uniquely determining this first user, can be the pet name of this first user or account etc.To this first user data information check operation can for open the displayed page of this first user data information operation, click the operation of the photo of this first user or other operations etc., the present embodiment does not all limit this.
In addition, second subscriber information message can comprise the photo of this second user, age, constellation, blood group, card information or other information etc., this the second subscriber information message can also comprise the user ID of this second user, i.e. the second user ID, this second user ID is used for uniquely determining this second user, can be the pet name of this second user or account etc.To this second subscriber information message check operation can for open the displayed page of this second subscriber information message operation, click the operation of the photo of this second user or other operations etc., the present embodiment does not all limit this.
In the present embodiment, second user of this second terminal can in this second terminal, trigger and operation is checked to this first user data information, when this second terminal detects that this checks operation, represent that this second user is current and check this first user data information, then whether interested in this first user in order to determine this second user, this second terminal is when detecting that this checks operation, obtain the physical trait index that this second user is current, as the second physical trait index, represent that this second user is to the interest level of this first user with this second physical trait index, then can think that this second physical trait index is higher, this second user is interested in this first user, this the second physical trait index is lower, this second user more loses interest in this first user.
Wherein, this second physical trait index can the health sensed parameter current according to this second user be determined, this second physical trait index is for representing the size of the health sensed parameter that this second user is current.This health sensed parameter can comprise the parameter such as palmic rate, body temperature, then this second physical trait index can be the current heartbeat index, body temperature index etc. of this second user, and the present embodiment does not limit this.
The current health sensed parameter of this second user can be carried out detection by wearable device and be obtained, and this wearable device can be Intelligent bracelet, intelligent necklace or other wearable devices, and the present embodiment does not limit this.
That is to say, this second user wears wearable device, this second terminal is connected with wearable device, this wearable device detects the health sensed parameter of this second user, sends to this second terminal, when this second terminal detect this second user to this first user data information check operation time, can in the preset duration after current point in time, receive the health sensed parameter that wearable device sends, according to the health sensed parameter received, obtain this second physical trait index.
Such as, this wearable device can in this preset duration, and detect multiple health sensed parameter of this second user, then this second terminal receives the plurality of health sensed parameter, adds up the plurality of health sensed parameter, obtains this second physical trait index.
Wherein, this preset duration can be preset by this second terminal, and can be 10 seconds, 30 seconds etc., the present embodiment limit this.
During practical application, when this second terminal detect this second user to this first user data information check operation time, can to the acquisition request of this wearable device transmission to health sensed parameter, when this wearable device receives this acquisition request, start timing, and start the health sensed parameter detecting this second user, when the duration that this wearable device is added up reaches this preset duration, the multiple health sensed parameter detected are sent to this second terminal.When this second terminal receives the plurality of health sensed parameter, the plurality of health sensed parameter is added up, obtain this second physical trait index.Or, this wearable device detects the health sensed parameter of this second user in real time, send to this second terminal, then when this second terminal detect this second user to this first user data information check operation time, start timing, and start the multiple health sensed parameter obtaining the transmission of this wearable device, when the duration added up reaches preset duration, this second terminal is added up multiple health sensed parameter that this gets, and obtains this second physical trait index.
Wherein, this second terminal is added up the plurality of health sensed parameter, obtains the process of this second physical trait index, can comprise the following steps any one in 4011,4012 and 4013:
4011, calculate the mean value of the plurality of health sensed parameter, obtain this second physical trait index.
Such as, this preset duration is 30 seconds, this second terminal is detecting in 30 seconds after this checks operation, receive 6 palmic rates (beat/min) that this wearable device sends, be respectively 90,85,80,80,75,70, then this second terminal calculates the mean value of 6 health sensed parameter is 80, and namely this second physical trait index is 80.
4012, calculate the plurality of health sensed parameter and value, obtain this second physical trait index.
4013, calculate the variance of the plurality of health sensed parameter, obtain this second physical trait index.
It should be noted that, the present embodiment only calculates any one in the mean value of the plurality of health sensed parameter and value and variance with this second terminal, is that example is described as this second physical trait index.And in actual applications, this second terminal can also calculate the statistical value of the other types of the plurality of health sensed parameter, as this second physical trait index, the present embodiment does not limit this.
It should be noted that, the present embodiment only for this second terminal detect this second user to arbitrary data information of this first user check operation time obtain this second physical trait index and be described, and in actual applications, can think that the physical trait index of this second user when checking the photo of this first user best embodies this second user to the interest level of this first user, then this second terminal can detect this second user to the photo of this first user check operation time, obtain this second physical trait index.And this second terminal detect this second user to the data information of this first user except photo check operation time, the physical trait index of this second user can be obtained, also can not obtain the physical trait index of this second user, the present embodiment does not limit this.
In step 402, this second terminal to server sends this second physical trait index.
When this second terminal obtains this second physical trait index, send this second physical trait index to this server.And, this second terminal can also obtain this second user ID and this first user mark, this second user ID and this first user mark is sent, to represent that this second physical trait index is the physical trait index of this second user when checking this first user data information to this server.
In step 403, this server receives this second physical trait index, and stores this second physical trait index.
In the present embodiment, this server can be social application server, and first terminal and this second terminal all can install social application, applied, carry out alternately with this server by social activity.This social activity application can be instant messaging application or information display application etc., and the present embodiment does not limit this.
When this server receives this second physical trait index, first can store this second physical trait index.Such as, this server can set up the second user ID, first user mark with this second physical trait index between corresponding relation, to represent that this second physical trait index is the physical trait index of this second user when checking the data information of this first user.
Based on the citing of step 4011, the second physical trait index that this second terminal calculates is 80, then the corresponding relation that this server is set up can be as shown in table 1 below, and wherein, this second user ID is B, and this first user is designated A.
Table 1
User ID Physical trait index
B-A 80
In step 404, when first terminal detect this first user to this second subscriber information message check operation time, obtain the first physical trait index of this first user.
When this first terminal detect this first user to this second subscriber information message check operation time, can in the preset duration after current point in time, multiple health sensed parameter that the wearable device that reception is connected with this first terminal sends, the plurality of health sensed parameter is added up, obtains this first physical trait index.Its detailed process and step 401 similar, do not repeat them here.
In step 405, this first terminal sends this first physical trait index to server.
When this first terminal obtains this first physical trait index, send this first physical trait index to this server.And, this first terminal can also obtain this first user mark and this second user ID, this first user mark and this second user ID is sent, to represent that this first physical trait index is the physical trait index of this first user when checking this second subscriber information message to this server.
In a step 406, this server receives this first physical trait index, from the physical trait index stored, obtains this second physical trait index.
This server has stored multiple physical trait index, when this server receives this first physical trait index, from the physical trait index stored, can obtain this second physical trait parameter.
Such as, this server according to this first user mark and this second user ID, in the corresponding relation set up in advance, can being inquired about the physical trait index of this second user when checking this first user data information, namely inquiring about this second physical trait index.
In addition, when this server receives this first physical trait index, this first physical trait index can be stored, this storing process and above-mentioned steps 403 similar, do not repeat them here.
In step 407, when this server determines that this second physical trait index of this first physical trait exponential sum all reaches default value interval, step 408 and 410 is performed.
Wherein, this default value interval can comprise the first default value, and is used to indicate the numerical range being greater than this first default value, if this default value interval can be (60 ,+∞).Or this default value interval can comprise the second default value, and is used to indicate the numerical range being less than this second default value, if this default value interval can be (-∞, 75).Or, this default value interval can comprise this first default value and this second default value, then this default value interval is used to indicate and is greater than this first default value and the numerical range being less than this second default value, if this default value interval can be (60,75).In practical application, this default value is interval can be preset by the physical trait index of this server according to human body under normal circumstances, and the present embodiment does not limit this.
In the present embodiment, can think when this first physical trait index reaches default value interval, represent that this first user is interested in this second user, and when this first physical trait index does not reach default value interval, represent that this first user is lost interest in this second user.When this second physical trait index reaches this default value interval, represent that this second user is interested in this first user, and when this second physical trait index does not reach this default value interval, represent that this second user loses interest in this first user.
In the present embodiment, when this server gets this first physical trait parameter and this second physical trait parameter, judge whether this first physical trait parameter and this second physical trait parameter all reach this default value interval, when determining that the first physical trait parameter and this second physical trait parameter all reach this default value interval, represent that this first user is interested in and this second user is also interested in this first user this second user, then this first user can be recommended this second user by this server, and this second user is recommended this first user.
Based on the citing of step 403, suppose that default value interval is for (75,95), this the first physical trait index is 85, and this server is inquired about corresponding relation as shown in table 1, and obtaining the second physical trait index is 80, because this first physical trait index 85 and this second physical trait index 80 all reach default value interval (75,95), then this first user can be recommended this second user by this server, and this second user is recommended this first user.
It should be noted that, the present embodiment is only interval for same default value, and in actual applications, dissimilar user physical trait index is under normal circumstances different, then judging that the default value interval that dissimilar user adopts time whether interested in other users also can difference.Such as, the palmic rate of schoolgirl is generally greater than boy student, then it is interval that the default value interval adopted when judging that whether schoolgirl user is interested in other users can be greater than the default value adopted when judging that whether boy student user is interested in other users.
In addition, this server can also judge whether this first user data information mates with this second subscriber information message, when this first user data information mates with this second subscriber information message, and this second physical trait index of this first physical trait exponential sum all reach this default value interval time, this first user could be recommended this second user, this second user is recommended this first user.
Wherein, this server judges whether this first user data information mates with this second subscriber information message, can comprise the following steps any one in (1), (2) and (3):
(1) judge whether the age of this first user mated with the age of this second user.
This server can arrange multiple age bracket, as less than 10 years old, 10-20 year, 20-30 year etc., this server can according to this first user data information and this second subscriber information message, obtain the age of this first user and the age of this second user, judge whether the age of this first user and the age of this second user belong to same age bracket, when the age of this first user and the age of this second user belong to same age bracket, determine the age of this first user and the age-matched of this second user, now can determine that this first user data information mates with this second subscriber information message.
(2) judge whether the geographic position of this first user mates with the geographic position of this second user.
This server can according to this first user data information and this second subscriber information message, determine the geographic position of this first user and the geographic position of this second user, calculate the distance between the geographic position of this first user and the geographic position of this second user, judge whether this distance is less than predeterminable range, when this distance is less than this predeterminable range, determine that the geographic position of this first user is mated with the geographic position of this second user, now can determine that this first user data information mates with this second subscriber information message.
(3) judge whether the age of this first user mated with the age of this second user, and judge whether the geographic position of this first user mates with the geographic position of this second user.When determine the age of this first user with the age-matched of this second user and the geographic position of this first user is mated with the geographic position of this second user time, can determine that this first user data information mates with this second subscriber information message.
It should be noted that, except age and geographic position, this server can also judge whether the data information of the other types of this first user mates with the data information of this second user respective type, and the present embodiment does not limit this.
In a step 408, this server sends first to this first terminal and recommends prompting message.
In step 409, when this first terminal receives this first recommendation prompting message, show this first recommendation prompting message.
This second user is added to good friend for pointing out this first user by this first recommendation prompting message, at least comprise this second subscriber information message, this the first recommendation prompting message can also comprise prompting message, as " find that you check the photo of user B, he is added to good friend ".
When this first terminal receives this first recommendation prompting message, can eject recommendation window, show this first recommendation prompting message, and show interpolation option in this recommendation window, then first user can check this first recommendation prompting message.Or, this first terminal can arrange prompting message aggregation page, the prompting message received is shown in this prompting message aggregation page, when this first terminal receives this first recommendation prompting message, this first recommendation prompting message can be shown and add option in this prompting message aggregation page, this first user can open prompting message aggregation page, checks this first recommendation prompting message in this prompting message aggregation page.
When this first user wishes pay close attention to this second user or wish this second user to be added to good friend, this interpolation option can be clicked, when this first terminal detects the clicking operation to this interpolation option, send to this server and add request, this interpolation request comprises this second user ID, when this server receives this second user ID, can directly this second user ID be added in the customer relationship chain of this first user mark.Or, this server can also send to this second terminal and add request, this interpolation request comprises this first user mark, when this second terminal receives this interpolation request, show that this first user identifies, when the confirmation operation that this second user identifies this first user being detected, represent that this second user agrees to this first user to be added to good friend, then this second terminal sends to this server and agrees to add message, when this server receives this agreement interpolation message, this second user ID is added in the customer relationship chain of this first user mark, and this first user mark is added in the customer relationship chain of this second user ID, now, this first user mark and this second user ID become good friend, chat messages can be transmitted mutually or check the status information that the other side issues.
In step 410, this server sends second to this second terminal and recommends prompting message.
In step 411, when this second terminal receives this second recommendation prompting message, show this second recommendation prompting message.
This first user is added to good friend for pointing out this second user by this second recommendation prompting message, at least comprise this first user data information, this the second recommendation prompting message can also comprise prompting message, as " find that you check the photo of user A, he is added to good friend ".
When this second terminal receives this second recommendation prompting message, can eject recommendation window, show this second recommendation prompting message, and show interpolation option in this recommendation window, then the second user can check this second recommendation prompting message.Or, this second terminal can arrange prompting message aggregation page, the prompting message received is shown in this prompting message aggregation page, when this second terminal receives this second recommendation prompting message, this second recommendation prompting message can be shown and add option in this prompting message aggregation page, this second user can open prompting message aggregation page, checks this second recommendation prompting message in this prompting message aggregation page.
This second user can click this interpolation option, pay close attention to this first user or this first user is added to good friend, the process that in this process and above-mentioned steps 409, this first user is paid close attention to this second user or this second user is added to good friend is similar, does not repeat them here.
The method that the present embodiment provides, by detect when first terminal first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, this the first physical trait index is sent to server, this server receives the first physical trait index that first terminal sends, from the physical trait index stored, obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this first terminal shows this first recommendation prompting message, this the second recommendation prompting message of this second terminal display.By this server when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, this the second user is recommended to this first user, and recommend this first user to this second user, can recommend and the mutual interested strange user of this user to user, improve recommendation success ratio, enhance interactive and interesting.
Fig. 5 A is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment.See Fig. 5 A, this device comprises receiver module 501, acquisition module 502 and sending module 503.
Receiver module 501 is configured to the first physical trait index sent for receiving first terminal, and this first physical trait index is the physical trait index of first user when checking the second subscriber information message;
Acquisition module 502 is configured to, for from the physical trait index stored, obtain the second physical trait index of this second user when checking first user data information;
Sending module 503 is configured to for when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this the first recommendation prompting message comprises this second subscriber information message, and this second recommendation prompting message comprises this first user data information.
The device that the present embodiment provides, by receiving the first physical trait index of first user when checking the second subscriber information message, from the physical trait index stored, obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, send first to this first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at this second user place, this the first recommendation prompting message comprises this second subscriber information message, this the second recommendation prompting message comprises this first user data information, this first terminal is made to show this first recommendation prompting message, this the second recommendation prompting message of this second terminal display.By when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, this the second user is recommended to this first user, and recommend this first user to this second user, can recommend and the mutual interested strange user of this user to user, improve recommendation success ratio, enhance interactive and interesting.
See Fig. 5 B, in another embodiment, this device also comprises:
Judge module 504 is configured to for judging whether this first user data information mates with this second subscriber information message;
This sending module 503 is also configured to for mating with this second subscriber information message when this first user data information, and this second physical trait index of this first physical trait exponential sum all reach this default value interval time, send this first recommendation prompting message to this first terminal, and send this second recommendation prompting message to this second terminal.
In another embodiment, this judge module 504 is also configured to for judging whether the age of this first user mated with the age of this second user; Or, judge whether the geographic position of this first user mates with the geographic position of this second user.
See Fig. 5 C, in another embodiment, this device also comprises:
Corresponding relation building module 505 is configured to for setting up first user mark, corresponding relation between the second user ID and this first physical trait index.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
It should be noted that: the user's recommendation apparatus based on social networks that above-described embodiment provides is when recommending user, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, inner structure by equipment is divided into different functional modules, to complete all or part of function described above.In addition, the user's recommendation apparatus based on social networks that above-described embodiment provides belongs to same design with the user's recommend method embodiment based on social networks, and its specific implementation process refers to embodiment of the method, repeats no more here.
Fig. 6 is the block diagram of a kind of user's recommendation apparatus based on social networks according to an exemplary embodiment.See Fig. 6, this device comprises acquisition module 601, sending module 602 and display module 603.
Acquisition module 601 be configured to for when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user;
Sending module 602 is configured to for sending this first physical trait index to server, this server is made to obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, this first recommendation prompting message comprises this second subscriber information message;
Display module 603 is configured to for showing this first recommendation prompting message.
The device that the present embodiment provides, by when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of this first user, this the first physical trait index is sent to server, this server is made to obtain the second physical trait index of this second user when checking first user data information, when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, and show this first recommendation prompting message, this the first recommendation prompting message comprises this second subscriber information message.By this server when determining that this second physical trait index of this first physical trait exponential sum all reaches default value interval, this the second user is recommended to this first user, and recommend this first user to this second user, can recommend and the mutual interested strange user of this user to user, improve recommendation success ratio, enhance interactive and interesting.
In another embodiment, this acquisition module 601 be also configured to for when detect this first user to this second subscriber information message check operation time, in preset duration after current point in time, receive multiple health sensed parameter that wearable device sends; The plurality of health sensed parameter is added up, obtains this first physical trait index.
In another embodiment, this acquisition module 601 is also configured to the mean value for calculating the plurality of health sensed parameter, obtains this first physical trait index; Or, calculate the plurality of health sensed parameter and value, obtain this first physical trait index; Or, calculate the variance of the plurality of health sensed parameter, obtain this first physical trait index.
In another embodiment, this health sensed parameter comprises at least one item in palmic rate and body temperature.
In another embodiment, this acquisition module 601 be also configured to for when detect this first user to the photo of this second user check operation time, obtain the first physical trait index of this first user.
About the device in above-described embodiment, wherein the concrete mode of modules executable operations has been described in detail in about the embodiment of the method, will not elaborate explanation herein.
It should be noted that: the user's recommendation apparatus based on social networks that above-described embodiment provides is when recommending user, only be illustrated with the division of above-mentioned each functional module, in practical application, can distribute as required and by above-mentioned functions and be completed by different functional modules, inner structure by equipment is divided into different functional modules, to complete all or part of function described above.In addition, the user's recommendation apparatus based on social networks that above-described embodiment provides belongs to same design with the user's recommend method embodiment based on social networks, and its specific implementation process refers to embodiment of the method, repeats no more here.
Fig. 7 is the block diagram of a kind of user's recommendation apparatus 700 based on social networks according to an exemplary embodiment.Such as, device 700 may be provided in a server.With reference to Fig. 7, device 700 comprises processing components 722, and it comprises one or more processor further, and the memory resource representated by storer 732, can such as, by the instruction of the execution of processing components 722, application program for storing.The application program stored in storer 732 can comprise each module corresponding to one group of instruction one or more.In addition, processing components 722 is configured to perform instruction, to perform above-mentioned user's recommend method based on social networks.
Device 700 can also comprise the power management that a power supply module 726 is configured to actuating unit 700, and a wired or wireless network interface 750 is configured to device 700 to be connected to network, and input and output (I/O) interface 758.Device 700 can operate the operating system based on being stored in storer 732, such as WindowsServer tM, MacOSX tM, Unix tM, Linux tM, FreeBSD tMor it is similar.
Fig. 8 is the block diagram of a kind of user's recommendation apparatus 800 based on social networks according to an exemplary embodiment.Such as, device 800 can be mobile phone, computing machine, digital broadcast terminal, messaging devices, game console, tablet device, Medical Devices, body-building equipment, personal digital assistant etc.
With reference to Fig. 8, device 800 can comprise following one or more assembly: processing components 802, storer 804, power supply module 806, multimedia groupware 808, audio-frequency assembly 810, the interface 812 of I/O (I/O), sensor module 814, and communications component 816.
The integrated operation of the usual control device 800 of processing components 802, such as with display, call, data communication, camera operation and record operate the operation be associated.Processing components 802 can comprise one or more processor 820 to perform instruction, to complete all or part of step of above-mentioned method.In addition, processing components 802 can comprise one or more module, and what be convenient between processing components 802 and other assemblies is mutual.Such as, processing components 802 can comprise multi-media module, mutual with what facilitate between multimedia groupware 808 and processing components 802.
Storer 804 is configured to store various types of data to be supported in the operation of device 800.The example of these data comprises for any application program of operation on device 800 or the instruction of method, contact data, telephone book data, message, picture, video etc.Storer 804 can be realized by the volatibility of any type or non-volatile memory device or their combination, as static RAM (SRAM), Electrically Erasable Read Only Memory (EEPROM), Erasable Programmable Read Only Memory EPROM (EPROM), programmable read only memory (PROM), ROM (read-only memory) (ROM), magnetic store, flash memory, disk or CD.
The various assemblies that power supply module 806 is device 800 provide electric power.Power supply module 806 can comprise power-supply management system, one or more power supply, and other and the assembly generating, manage and distribute electric power for device 800 and be associated.
Multimedia groupware 808 is included in the screen providing an output interface between described device 800 and user.In certain embodiments, screen can comprise liquid crystal display (LCD) and touch panel (TP).If screen comprises touch panel, screen may be implemented as touch-screen, to receive the input signal from user.Touch panel comprises one or more touch sensor with the gesture on sensing touch, slip and touch panel.Described touch sensor can the border of not only sensing touch or sliding action, but also detects the duration relevant to described touch or slide and pressure.In certain embodiments, multimedia groupware 808 comprises a front-facing camera and/or post-positioned pick-up head.When device 800 is in operator scheme, during as screening-mode or video mode, front-facing camera and/or post-positioned pick-up head can receive outside multi-medium data.Each front-facing camera and post-positioned pick-up head can be fixing optical lens systems or have focal length and optical zoom ability.
Audio-frequency assembly 810 is configured to export and/or input audio signal.Such as, audio-frequency assembly 810 comprises a microphone (MIC), and when device 800 is in operator scheme, during as call model, logging mode and speech recognition mode, microphone is configured to receive external audio signal.The sound signal received can be stored in storer 804 further or be sent via communications component 816.In certain embodiments, audio-frequency assembly 810 also comprises a loudspeaker, for output audio signal.
I/O interface 812 is for providing interface between processing components 802 and peripheral interface module, and above-mentioned peripheral interface module can be keyboard, some striking wheel, button etc.These buttons can include but not limited to: home button, volume button, start button and locking press button.
Sensor module 814 comprises one or more sensor, for providing the state estimation of various aspects for device 800.Such as, sensor module 814 can detect the opening/closing state of device 800, the relative positioning of assembly, such as described assembly is display and the keypad of device 800, the position of all right pick-up unit 800 of sensor module 814 or device 800 1 assemblies changes, the presence or absence that user contacts with device 800, the temperature variation of device 800 orientation or acceleration/deceleration and device 800.Sensor module 814 can comprise proximity transducer, be configured to without any physical contact time detect near the existence of object.Sensor module 814 can also comprise optical sensor, as CMOS or ccd image sensor, for using in imaging applications.In certain embodiments, this sensor module 814 can also comprise acceleration transducer, gyro sensor, Magnetic Sensor, pressure transducer or temperature sensor.
Communications component 816 is configured to the communication being convenient to wired or wireless mode between device 800 and other equipment.Device 800 can access the wireless network based on communication standard, as WiFi, 2G or 3G, or their combination.In one exemplary embodiment, communications component 816 receives from the broadcast singal of external broadcasting management system or broadcast related information via broadcast channel.In one exemplary embodiment, described communications component 816 also comprises near-field communication (NFC) module, to promote junction service.Such as, can based on radio-frequency (RF) identification (RFID) technology in NFC module, Infrared Data Association (IrDA) technology, ultra broadband (UWB) technology, bluetooth (BT) technology and other technologies realize.
In the exemplary embodiment, device 800 can be realized, for performing above-mentioned user's recommend method by one or more application specific integrated circuit (ASIC), digital signal processor (DSP), digital signal processing appts (DSPD), programmable logic device (PLD) (PLD), field programmable gate array (FPGA), controller, microcontroller, microprocessor or other electronic components.
In the exemplary embodiment, additionally provide a kind of non-transitory computer-readable recording medium comprising instruction, such as, comprise the storer 804 of instruction, above-mentioned instruction can perform said method by the processor 820 of device 800.Such as, described non-transitory computer-readable recording medium can be ROM, random access memory (RAM), CD-ROM, tape, floppy disk and optical data storage devices etc.
A kind of non-transitory computer-readable recording medium, when the instruction in described storage medium is performed by the processor of terminal, the user's recommend method based on social networks making terminal can perform this instructions to provide.
Those skilled in the art, at consideration instructions and after putting into practice invention disclosed herein, will easily expect other embodiment of the present disclosure.The application is intended to contain any modification of the present disclosure, purposes or adaptations, and these modification, purposes or adaptations are followed general principle of the present disclosure and comprised the undocumented common practise in the art of the disclosure or conventional techniques means.Instructions and embodiment are only regarded as exemplary, and true scope of the present disclosure and spirit are pointed out by claim below.
Should be understood that, the disclosure is not limited to precision architecture described above and illustrated in the accompanying drawings, and can carry out various amendment and change not departing from its scope.The scope of the present disclosure is only limited by appended claim.

Claims (20)

1. based on user's recommend method of social networks, it is characterized in that, described method comprises:
Receive the first physical trait index that first terminal sends, described first physical trait index is the physical trait index of first user when checking the second subscriber information message;
From the physical trait index stored, obtain the second physical trait index of described second user when checking first user data information;
When determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, send first to described first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at described second user place, described first recommends prompting message to comprise described second subscriber information message, and described second recommends prompting message to comprise described first user data information.
2. method according to claim 1, is characterized in that, described method also comprises:
Judge whether described first user data information mates with described second subscriber information message;
When described first user data information mates with described second subscriber information message, and the second physical trait index described in described first physical trait exponential sum all reach described default value interval time, send described first to described first terminal and recommend prompting message, and send described second recommendation prompting message to described second terminal.
3. method according to claim 2, is characterized in that, describedly judges whether described first user data information mates with described second subscriber information message, comprising:
Judge whether the age of described first user mated with the age of described second user; Or,
Judge whether the geographic position of described first user mates with the geographic position of described second user.
4. method according to claim 1, is characterized in that, after the first physical trait index that described reception first terminal sends, described method also comprises:
Set up first user mark, corresponding relation between the second user ID and described first physical trait index.
5. based on user's recommend method of social networks, it is characterized in that, described method comprises:
When detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user;
Described first physical trait index is sent to server, described server is made to obtain the second physical trait index of described second user when checking first user data information, when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, described first recommends prompting message to comprise described second subscriber information message;
Show that described first recommends prompting message.
6. method according to claim 5, is characterized in that, described when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user, comprising:
When detect described first user to described second subscriber information message check operation time, in the preset duration after current point in time, receive wearable device send multiple health sensed parameter;
Described multiple health sensed parameter is added up, obtains described first physical trait index.
7. method according to claim 6, is characterized in that, describedly adds up described multiple health sensed parameter, obtains described first physical trait index, comprising:
Calculate the mean value of described multiple health sensed parameter, obtain described first physical trait index; Or,
Calculate described multiple health sensed parameter and value, obtain described first physical trait index; Or,
Calculate the variance of described multiple health sensed parameter, obtain described first physical trait index.
8. method according to claim 6, is characterized in that, described health sensed parameter comprises at least one item in palmic rate and body temperature.
9. method according to claim 5, is characterized in that, described when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user, comprising:
When detect described first user to the photo of described second user check operation time, obtain the first physical trait index of described first user.
10. based on user's recommendation apparatus of social networks, it is characterized in that, described device comprises:
Receiver module, for receiving the first physical trait index that first terminal sends, described first physical trait index is the physical trait index of first user when checking the second subscriber information message;
Acquisition module, for from the physical trait index stored, obtains the second physical trait index of described second user when checking first user data information;
Sending module, for when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, send first to described first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at described second user place, described first recommends prompting message to comprise described second subscriber information message, and described second recommends prompting message to comprise described first user data information.
11. devices according to claim 10, is characterized in that, described device also comprises:
Judge module, for judging whether described first user data information mates with described second subscriber information message;
Described sending module, also for mating with described second subscriber information message when described first user data information, and the second physical trait index described in described first physical trait exponential sum all reach described default value interval time, send described first to described first terminal and recommend prompting message, and send described second recommendation prompting message to described second terminal.
12. devices according to claim 11, is characterized in that, described judge module is also for judging whether the age of described first user mated with the age of described second user; Or, judge whether the geographic position of described first user mates with the geographic position of described second user.
13. devices according to claim 10, is characterized in that, described device also comprises:
Corresponding relation building module, for setting up first user mark, corresponding relation between the second user ID and described first physical trait index.
14. 1 kinds, based on user's recommendation apparatus of social networks, is characterized in that, described device comprises:
Acquisition module, for when detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user;
Sending module, for sending described first physical trait index to server, described server is made to obtain the second physical trait index of described second user when checking first user data information, when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, described first recommends prompting message to comprise described second subscriber information message;
Display module, for showing that described first recommends prompting message.
15. devices according to claim 14, it is characterized in that, described acquisition module also for when detect described first user to described second subscriber information message check operation time, in the preset duration after current point in time, receive wearable device send multiple health sensed parameter; Described multiple health sensed parameter is added up, obtains described first physical trait index.
16. devices according to claim 15, is characterized in that, described acquisition module also for calculating the mean value of described multiple health sensed parameter, obtains described first physical trait index; Or, calculate described multiple health sensed parameter and value, obtain described first physical trait index; Or, calculate the variance of described multiple health sensed parameter, obtain described first physical trait index.
17. devices according to claim 15, is characterized in that, described health sensed parameter comprises at least one item in palmic rate and body temperature.
18. devices according to claim 14, is characterized in that, described acquisition module also for when detect described first user to the photo of described second user check operation time, obtain the first physical trait index of described first user.
19. 1 kinds, based on user's recommendation apparatus of social networks, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
Receive the first physical trait index that first terminal sends, described first physical trait index is the physical trait index of first user when checking the second subscriber information message;
From the physical trait index stored, obtain the second physical trait index of described second user when checking first user data information;
When determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, send first to described first terminal and recommend prompting message, and send the second recommendation prompting message to second terminal at described second user place, described first recommends prompting message to comprise described second subscriber information message, and described second recommends prompting message to comprise described first user data information.
20. 1 kinds, based on user's recommendation apparatus of social networks, is characterized in that, comprising:
Processor;
For the storer of storage of processor executable instruction;
Wherein, described processor is configured to:
When detect first user to the second subscriber information message check operation time, obtain the first physical trait index of described first user;
Described first physical trait index is sent to server, described server is made to obtain the second physical trait index of described second user when checking first user data information, when determining that the second physical trait index described in described first physical trait exponential sum all reaches default value interval, return the first recommendation prompting message, described first recommends prompting message to comprise described second subscriber information message;
Show that described first recommends prompting message.
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