CN105426400A - User matching degree determination method and apparatus - Google Patents

User matching degree determination method and apparatus Download PDF

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Publication number
CN105426400A
CN105426400A CN201510719423.3A CN201510719423A CN105426400A CN 105426400 A CN105426400 A CN 105426400A CN 201510719423 A CN201510719423 A CN 201510719423A CN 105426400 A CN105426400 A CN 105426400A
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China
Prior art keywords
parties
matched
matching degree
time
physiological data
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Chinese (zh)
Inventor
李洋
曲原波
田帅
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Beijing Xiaomi Technology Co Ltd
Xiaomi Inc
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Xiaomi Inc
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Priority to CN201510719423.3A priority Critical patent/CN105426400A/en
Publication of CN105426400A publication Critical patent/CN105426400A/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/28Databases characterised by their database models, e.g. relational or object models
    • G06F16/284Relational databases
    • G06F16/285Clustering or classification

Abstract

The present invention discloses a user matching degree determination method and apparatus, and belongs to the field of computers. The method comprises: acquiring reference physiological data of both two to-be-matched users; acquiring real-time physiological data of both the two to-be-matched users over a specified time period; and calculating a first matching degree of both the two to-be-matched users according to the real-time physiological data and the reference physiological data of both the two to-be-matched users. According to the user matching degree determination method and apparatus provided by the present invention, by acquiring the reference physiological data and the real-time physiological data over a specified time period of both the two to-be-matched users and calculating the matching degree of both the two to-be-matched users according to the real-time physiological data and the reference physiological data, the problem that a matching degree determination method in the background technology is short of a theoretic basis and provides unconvincing and inaccurate results is solved while the user matching degree that is calculated according to the physiological data of the user achieves the sound reasoning and convincing effects with accurate results.

Description

The determination methods of user's matching degree and device
Technical field
The present invention relates to computer realm, particularly a kind of determination methods of user's matching degree and device.
Background technology
Matching degree is generally used for reflecting interpersonal similarity degree, and be used for weigh both sides whether can keep in.Along with the development of computer technology and Internet technology, in correlation technique, the matching degree of two parties can be judged by comparing date of birth of two parties, constellation and blood group, or another two parties does test exercise question, compares the answer of two parties test question object to judge the matching degree of two parties.
Summary of the invention
In order to solve the problem of prior art, embodiments provide a kind of determination methods and device of user's matching degree.Described technical scheme is as follows:
On the one hand, provide a kind of determination methods of user's matching degree, described method comprises:
Obtain the reference physiological data of two parties to be matched;
Obtain the non-real time physiological data of described two parties to be matched at the appointed time under section;
According to the non-real time physiological data of described two parties to be matched with reference to physiological data, calculate the first matching degree of described two parties to be matched.
In the first possible embodiment of first aspect, described physiological data comprises shell temperature and/or heartbeat data.
In the embodiment that the second of first aspect is possible, according to the non-real time physiological data of described two parties to be matched with reference to physiological data, calculate the first matching degree of described two parties to be matched, comprising:
According to the non-real time physiological data of described two parties to be matched with reference to physiological data, obtain the physiological data variability index of described two parties to be matched;
According to described physiological data variability index and the first matching degree computing formula, calculate the first matching degree of described two parties to be matched, described first matching degree computing formula is:
p = ( x * y - 1 ) * a n 2 - 1
Wherein, p is described first matching degree, and x is the described physiological data variability index of one of them user, and y is the described physiological data variability index of another user, and a is the full marks of described first matching degree, and n is the full marks of physiology data variation index, and n is not equal to 1.
In the third possible embodiment of first aspect, described method also comprises:
Obtain the habits and customs data of described two parties to be matched, described habits and customs data to comprise between the time for falling asleep of user, WA and at least one item in sport rank.
According to the habits and customs data of described two parties to be matched, calculate the second matching degree of described two parties to be matched.
In conjunction with the third possible embodiment of first aspect and first aspect, in the 4th kind of possible embodiment of first aspect, according to the habits and customs data of described two parties to be matched, calculate the second matching degree of described two parties to be matched, comprising:
According to the time for falling asleep of described two parties to be matched, determine the time for falling asleep coupling mark of described two parties to be matched;
Between the WA according to described two parties to be matched, determine the time match mark of getting up of described two parties to be matched;
According to the sport rank of described two parties to be matched, calculate the sport rank coupling mark of described two parties to be matched;
By described time for falling asleep coupling mark, described in get up time match mark and described sport rank coupling mark be added according to respective weight, calculate the second matching degree of described two parties to be matched.
In conjunction with the 4th kind of possible embodiment of first aspect and first aspect, in the 5th kind of possible embodiment of first aspect, according to the time for falling asleep of described two parties to be matched, determine the time for falling asleep coupling mark of described two parties to be matched, comprising:
Calculate the first difference, described first difference is the difference of described two parties time for falling asleep to be matched;
From default time for falling asleep matching database, obtain the time for falling asleep corresponding with described first difference and mate mark, described default time for falling asleep matching database mates mark for storing described first difference with corresponding time for falling asleep.
In conjunction with the 4th kind of possible embodiment of first aspect and first aspect, in the 6th kind of possible embodiment of first aspect, between the WA according to described two parties to be matched, determine the time match mark of getting up of described two parties to be matched, comprising:
Calculate the second difference, described second difference is the difference between described two parties WA to be matched;
From matching database between default WA, obtain the get up time match mark corresponding with described second difference, between described default WA, matching database is for storing described second difference and corresponding time match mark of getting up.
In conjunction with the 4th kind of possible embodiment of first aspect and first aspect, in the 7th kind of possible embodiment of first aspect, according to the sport rank of described two parties to be matched, calculate the sport rank coupling mark of described two parties to be matched, comprising:
According to the sport rank of described two parties to be matched and the sport rank coupling mark of the described two parties to be matched of sport rank coupling mark computing formula calculating, described sport rank coupling mark computing formula is:
q = a - a b s ( x - y ) * a n - 1
Wherein, q is the sport rank coupling mark of described two parties to be matched, and a is the full marks of described sport rank coupling mark, x is the sport rank of one of them user, and y is the sport rank of another user, and abs is for asking signed magnitude arithmetic(al), n is the full marks of sport rank, and n is not equal to 1.
In the 8th kind of possible embodiment of first aspect, according to the habits and customs data of described two parties to be matched, after calculating the second matching degree of described two parties to be matched, described method also comprises:
Described first matching degree and described second matching degree are added according to respective weight, obtain the comprehensive matching degree of described two parties to be matched.
Second aspect, provide a kind of judgment means of user's matching degree, described device comprises:
First acquisition module, for obtaining the reference physiological data of two parties to be matched;
Second acquisition module, for obtaining the non-real time physiological data of described two parties to be matched at the appointed time under section;
First computing module, for the non-real time physiological data according to described two parties to be matched with reference to physiological data, calculates the first matching degree of described two parties to be matched.
In the first possible embodiment of second aspect, described physiological data comprises shell temperature and/or heartbeat data.
In the embodiment that the second of second aspect is possible, described first computing module, for:
According to the non-real time physiological data of described two parties to be matched with reference to physiological data, obtain the physiological data variability index of described two parties to be matched;
First matching degree computing unit, for calculating the first matching degree of described two parties to be matched according to the first matching degree computing formula, described first matching degree computing formula is:
p = ( x * y - 1 ) * a n 2 - 1
Wherein, p is described first matching degree, and x is the described physiological data variability index of one of them user, and y is the described physiological data variability index of another user, and a is the full marks of described first matching degree, and n is the full marks of physiology data variation index, and n is not equal to 1.
In the third possible embodiment of second aspect, described device also comprises:
3rd acquisition module, for obtaining the habits and customs data of described two parties to be matched, described habits and customs data to comprise between the time for falling asleep of user, WA and at least one item in sport rank;
Second computing module, for the habits and customs data according to described two parties to be matched, calculates the second matching degree of described two parties to be matched.
In conjunction with the third possible embodiment of second aspect and second aspect, in the 4th kind of possible embodiment of second aspect, described second computing module, comprising:
Time for falling asleep coupling mark determining unit, for the time for falling asleep according to described two parties to be matched, determines the time for falling asleep coupling mark of described two parties to be matched;
To get up time match mark determining unit, for according between the WA of described two parties to be matched, determine the time match mark of getting up of described two parties to be matched;
Sport rank coupling score calculating unit, for the sport rank according to described two parties to be matched, calculates the sport rank coupling mark of described two parties to be matched;
Second matching degree computing unit, for by described time for falling asleep coupling mark, described in get up time match mark and described sport rank coupling mark be added according to respective weight, calculate the second matching degree of described two parties to be matched.
In conjunction with the 4th kind of possible embodiment of second aspect and second aspect, in the 5th kind of possible embodiment of second aspect, described time for falling asleep coupling mark determining unit, for:
Calculate the first difference, described first difference is the difference of described two parties time for falling asleep to be matched;
From default time for falling asleep matching database, obtain the time for falling asleep corresponding with described first difference and mate mark, described default time for falling asleep matching database mates mark for storing described first difference with corresponding time for falling asleep.
In conjunction with the 4th kind of possible embodiment of second aspect and second aspect, in the 6th kind of possible embodiment of second aspect, described in get up time match mark determining unit, for:
Calculate the second difference, described second difference is the difference between described two parties WA to be matched;
From matching database between default WA, obtain the get up time match mark corresponding with described second difference, between described default WA, matching database is for storing described second difference and corresponding time match mark of getting up.
In conjunction with the 4th kind of possible embodiment of second aspect and second aspect, in the 7th kind of possible embodiment of second aspect, described sport rank coupling score calculating unit, for:
According to sport rank and the sport rank coupling mark computing formula of described two parties to be matched, calculate the sport rank coupling mark of described two parties to be matched, described sport rank coupling mark computing formula is:
q = a - a b s ( x - y ) * a n - 1
Wherein, q is the sport rank coupling mark of described two parties to be matched, and a is the full marks of described sport rank coupling mark, x is the sport rank of one of them user, and y is the sport rank of another user, and abs is for asking signed magnitude arithmetic(al), n is the full marks of sport rank, and n is not equal to 1.
In the 8th kind of possible embodiment of second aspect, described device also comprises:
3rd computing module, for described first matching degree and described second matching degree being added according to respective weight, obtains the comprehensive matching degree of described two parties to be matched.
The beneficial effect that the technical scheme that the embodiment of the present invention provides is brought is:
By obtaining the reference physiological data of two parties to be matched and the non-real time physiological data at the appointed time under section, and according to this non-real time physiological data with reference to physiological data, calculate the matching degree of two parties to be matched, solve matching degree determination methods in background technology and lack theoretical foundation, can not be convincing, result is inaccurate problem also, according to user's physiological data calculate user matching degree reach reasonable, result is accurate, compellent effect.
Accompanying drawing explanation
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, below the accompanying drawing used required in describing embodiment is briefly described, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
Figure 1A and Figure 1B is the structural representation that a kind of user's matching degree that the embodiment of the present invention provides judges system.
Fig. 2 is a kind of user's matching degree determination methods process flow diagram that the embodiment of the present invention provides.
Fig. 3 is a kind of user's matching degree determination methods process flow diagram that the embodiment of the present invention provides.
Fig. 4 A is a kind of user's matching degree judgment means structural representation that the embodiment of the present invention provides.
Fig. 4 B is another kind of user's matching degree judgment means structural representation that the embodiment of the present invention provides.
Fig. 5 is the structural representation of a kind of terminal that the embodiment of the present invention provides.
Fig. 6 is the block diagram of a kind of server that the embodiment of the present invention provides.
Embodiment
For making the object, technical solutions and advantages of the present invention clearly, below in conjunction with accompanying drawing, embodiment of the present invention is described further in detail.
Figure 1A is the structural representation that a kind of user's matching degree provided according to the embodiment of the present invention judges system.As shown in Figure 1A, this user's matching degree judges that system can comprise: the first Intelligent worn device 110, second Intelligent worn device 120, first terminal 130 and the second terminal 140;
Wherein, the first Intelligent worn device 110 and the second Intelligent worn device 120 can be the smart machines that motion bracelet, intelligent watch, intelligent ring etc. can gather user's life, physiological data.First terminal 130 and the second terminal 140 can be the intelligent terminals such as smart mobile phone, panel computer and PC (PersonalComputer, PC).The life that it can collect by Intelligent worn device, physiological data in real time or timed sending give the terminal of mating with it, carried out record and the analysis of data by terminal.
Based on the system architecture of Figure 1A, can the data interaction such as wireless network or short haul connection form be passed through between first terminal 130 and the second terminal 140, make opposite end can obtain self life, physiological data, to carry out the judgement of user's matching degree by any terminal.But, this deterministic process also can be undertaken by server, see Figure 1B, also cloud server 150 is comprised in the system architecture that this Figure 1B provides, the data upload that first terminal 130 and the second terminal 140 can be recorded, to this cloud server 150, carries out the judgement of user's matching degree by this cloud server 150.
Please refer to Fig. 2, it illustrates the process flow diagram of user's matching degree determination methods that one embodiment of the invention provides, user's matching degree that the present embodiment is applied to shown by Figure 1A or Figure 1B with this user's matching degree determination methods judges system to illustrate, this user's matching degree determination methods can include but not limited to following steps:
In step 210, the reference physiological data of two parties to be matched is obtained.
In a step 220, the non-real time physiological data of two parties to be matched at the appointed time under section is obtained.
In step 230, according to the non-real time physiological data of two parties to be matched with reference to physiological data, the first matching degree of two parties to be matched is calculated.
In sum, user's matching degree determination methods that the present embodiment provides, the reference physiological data of two parties to be matched and the non-real time physiological data at the appointed time under section is obtained by terminal, and according to this non-real time physiological data with reference to physiological data, calculate the matching degree of two parties to be matched, solve matching degree determination methods in background technology and lack theoretical foundation, can not be convincing, result is inaccurate problem also, according to user's physiological data calculate user matching degree reach reasonable, result is accurate, compellent effect.
Please refer to Fig. 3, it illustrates the process flow diagram of user's matching degree determination methods that one embodiment of the invention provides, the present embodiment is applied to this user's matching degree determination methods user's matching degree that Figure 1A introduces and judges system to illustrate, this user's matching degree determination methods can include but not limited to following steps:
In the step 310, first terminal obtains the reference physiological data of two parties to be matched.
Inventor recognizes, when the psychology of people changes, the phenomenons such as the appearance palpitating speed that can can't help, body temperature rising, therefore, by physiological data collection and monitoring, can know the emotion fluctuation situation of active user.And in order to accurately know intensity of variation, need a datum line as a reference, therefore, in this step 310, need the reference physiological data getting both sides to be matched.This reference physiological data can reflect the history physiological characteristic of user.In an embodiment of the present disclosure, physiological data can comprise the arbitrary categorical data in shell temperature and heartbeat data.
Below, the disclosure will initiate data interaction for first terminal, judge system based on the user's matching degree shown in Figure 1A, and technical process first terminal being obtained to the reference physiological data of two parties to be matched is described.
In the system architecture shown in Figure 1A, the user's physiological data collected uploads in the first terminal and the second terminal mated with it by the first Intelligent worn device and the second Intelligent worn device.First terminal is asked to the second terminal initiating equipment pairing request or interpolation good friend according to the second terminal user identification or the second terminal device identify label, first terminal user ID or first terminal equipment identities mark are carried in this device pairing request or interpolation good friend request, second terminal is matched with first terminal apparatus for establishing and is connected or is added to good friend mutually after the agreement operation of the second terminal user being detected.First terminal requires with after the second terminal user carries out the operation of matching degree judgement receiving first terminal user, from the physiological data that first terminal stores, extract the reference physiological data of first terminal user, in addition, first terminal sends data acquisition request to the second terminal, this data acquisition request carries first terminal user ID, after second terminal receives this data acquisition request, extract first terminal user ID, and based on this first terminal user ID display data authorization options, second terminal detects that the second terminal user is to after the trigger action of this data grant option, the reference physiological data of the second terminal user is sent to first terminal, follow-up determining step is carried out by first terminal.
And in another embodiment of the present disclosure, this first terminal is when obtaining the reference physiological data of two parties to be matched, can also be undertaken by cloud server, that is to say, this user's matching degree judges that system can also adopt the form as Figure 1B, in the system architecture shown in Figure 1B, this physiological data is uploaded to cloud server after receiving user's physiological data that first Intelligent worn device of mating with it and the second Intelligent worn device upload by first terminal and the second terminal.First terminal requires with after the second terminal user carries out the operation of matching degree judgement receiving first terminal user, the reference physiological data of first terminal user is downloaded from cloud server, in addition, first terminal sends data acquisition request to the second terminal, this data acquisition request carries first terminal user ID, after second terminal receives this data acquisition request, extract first terminal user ID, and based on this first terminal user ID display data authorization options, second terminal detects that the second terminal user is to after the trigger action of this data grant option, data grant license is provided to first terminal, first terminal downloads the reference physiological data of the second terminal user from cloud server based on this data grant license.
In addition, in the system architecture shown in Figure 1B, first terminal can also from the reference physiological data self obtaining first terminal user, simultaneously, first terminal obtains the reference physiological data of the second terminal user from cloud server, or first terminal can obtain the reference physiological data of first terminal user from cloud server, first terminal obtains the reference physiological data of the second terminal user from the second terminal simultaneously.
In step 320, first terminal obtains the non-real time physiological data of two parties to be matched at the appointed time under section.
Above-mentioned fixed time section can be to judging the time period that the matching degree of two parties to be matched is significant, as blind date time, first time meet time, equal time section when seeing a film.The disclosure does not limit the selected mode of above-mentioned fixed time section, and in the specific implementation, this fixed time section can be that user selectes voluntarily, also can be select according to the stroke of user, or selectes according to the calendar of terminal.
Below, the disclosure initiates the system architecture shown in data interaction and Figure 1A by for first terminal, and technical process first terminal being obtained to the non-real time physiological data of two parties to be matched at the appointed time under section is described.
First Intelligent worn device and the second Intelligent worn device send the acquisition time of user's physiological data and the data collected to first terminal and the second terminal.First terminal is after obtaining the reference physiological data of two parties to be matched, from the physiological data that first terminal stores, extract the non-real time physiological data that data acquisition time drops on the first terminal user in above-mentioned fixed time section, above-mentioned fixed time section is sent to the second terminal by first terminal, data acquisition time drops in above-mentioned fixed time section by the second terminal, and the non-real time physiological data of the second terminal user is sent to first terminal.
In a step 330, first terminal, according to the non-real time physiological data of two parties to be matched with reference to physiological data, obtains the physiological data variability index of two parties to be matched.
First terminal calculates the non-real time physiological data of two parties to be matched and the difference with reference to physiological data, the number percent with reference to physiological data is accounted for again based on this difference, from the corresponding relation of preset percentage and physiological data variability index, obtain the physiological data variability index corresponding with this number percent.
Wherein, the corresponding relation of above-mentioned number percent and physiological data variability index can be as shown in table 1:
Table 1
Number percent Physiological data variability index
5% 1
10% 2
20% 3
…… ……
It should be noted that, the method for expressing of the corresponding relation shown in above-mentioned table 1, difference method for expressing and triumph data variation index etc., only for exemplary illustration, can not limit the disclosure.
In step 340, first terminal, according to above-mentioned physiological data variability index and the first matching degree computing formula, calculates the first matching degree of two parties to be matched.
Above-mentioned first matching degree computing formula is:
p = ( x * y - 1 ) * a n 2 - 1
Wherein, p is described first matching degree, and x is the described physiological data variability index of one of them user, and y is the described physiological data variability index of another user, and a is the full marks of described first matching degree, and n is the full marks of physiology data variation index, and n is not equal to 1.
Such as, the full marks of the first matching degree are 100, and the full marks of physiological data variability index are 4, and the physiological data variability index of one of them user is 2, and the physiological data variability index of another user is 3, then first matching degree of these two users is:
p = ( 2 * 3 - 1 ) * 100 4 2 - 1 = 5 * 100 15 ≈ 33.33
By above-mentioned first matching degree, can know, between user to be matched, whether there is same or analogous emotion fluctuation situation.Such as, for the both sides of blind date, if first matching degree of two people is higher, then can think to there is good opinion mutually between this two people.
After determining the first matching degree, if the first matching degree is greater than predetermined threshold value, then show the first matching degree at first terminal, or by first terminal, the first matching degree is sent to the second terminal, first terminal and the second terminal is made all to show the first matching degree, to promote further understanding.
Certainly, if two parties to be matched also wants there is further understanding to the other side, then the process of following step 350 to 370 can be carried out, to judge the matching degree of both sides' habits and customs.This automatically can carry out the judgement of habits and customs matching degree while the first matching degree calculates, or carry out when the first matching degree is greater than certain value, also can carry out according to the selection of user, the disclosure does not limit this.
In step 350, first terminal obtains the habits and customs data of two parties to be matched, and wherein habits and customs data to comprise between the time for falling asleep of user, WA and at least one item in sport rank.
Wherein, sport rank is that motion duration, motion intense degree etc. according to user are comprehensively analyzed and obtained, and can be used for reacting the exercise habit of user, in an embodiment of the present disclosure, sport rank is higher, and user more likes motion.
Below, the disclosure initiates the system architecture shown in data interaction and Figure 1A by for first terminal, and technical process first terminal being obtained to the habits and customs data of two parties to be matched is described.
Acquisition between time for falling asleep and WA comprises recording process and acquisition process.Recording process can comprise: the first Intelligent worn device and the second Intelligent worn device detect the palmic rate, respiratory rate etc. of user, the data obtained by above-mentioned measurement, through comprehensive analyze can obtain user time for falling asleep, between WA.Such as, when user enters sleep state, the palmic rate of user slows down, and respiratory rate also slows down, then be now the time for falling asleep of user; And user's WA, the palmic rate of user accelerates gradually, and respiratory rate also accelerates gradually, between the WA being now user.Acquisition process can comprise: first terminal is between the WA of the habits and customs extracting data first terminal user self stored and time for falling asleep, second terminal after the mandate obtaining the second terminal user, between the WA sending the second terminal user to first terminal and time for falling asleep.
In addition, the first Intelligent worn device and the second Intelligent worn device can also carry out record to the motion of user, the record etc. of milimeter number, duration and other sports eventss that such as user runs every day.By can obtain the sport rank of user to the analysis of user movement duration and sports events kind.Such as, more than user's walking every day 12000 step being sport rank 4 grades, more than user's walking every day 9000 step is sport rank 3 grades etc.First terminal between the sport rank acquisition process of two parties to be matched and WA and the acquisition process of time for falling asleep in like manner, do not repeat them here.
In step 360, first terminal, according to the habits and customs data of two parties to be matched, calculates the second matching degree of two parties to be matched.
In an embodiment of the present disclosure, step 360 can also comprise the following steps 361 to step 364:
Step 361, first terminal, according to the time for falling asleep of two parties to be matched, determines the time for falling asleep coupling mark of two parties to be matched.
Time for falling asleep due to user directly can react the habits and customs of user, therefore, and can using the time for falling asleep of two parties to be matched as its key factor whether can be in step with in life of measurement.
In one embodiment, this step 361 can comprise the steps: that first terminal calculates the first difference, and this first difference is the difference of two parties time for falling asleep to be matched.First terminal, from default time for falling asleep matching database, obtains the time for falling asleep corresponding with above-mentioned first difference and mates mark, wherein presets time for falling asleep matching database and mates mark for storing the first difference with corresponding time for falling asleep.
Wherein, the first difference mate the corresponding relation of mark with time for falling asleep can be as shown in table 2:
Table 2
First difference Time for falling asleep coupling mark
1 hour 100
1 hour 50 minutes 70
2 hours 30 minutes 40
…… ……
It should be noted that, the corresponding relation shown in above-mentioned table 2, difference method for expressing and time for falling asleep coupling fraction representation method is only exemplary, can not limit the disclosure.
Step 362, first terminal, according between the WA of two parties to be matched, determines the time match mark of getting up of two parties to be matched.
With time for falling asleep in like manner, whether mate between WA is also weigh the two parties to be matched important references factor of whether being in step with on the living conditions.
In an embodiment of the present disclosure, this step 362 can comprise the steps: that first terminal calculates the second difference, and this second difference is the difference between two parties WA to be matched.First terminal, from matching database between default WA, obtains the get up time match mark corresponding with above-mentioned second difference, wherein to preset between WA matching database for storing the second difference and corresponding time match mark of getting up.
Wherein, the second difference can be as shown in table 3 with the corresponding relation of time match mark of getting up:
Table 3
Second difference To get up time match mark
50 minutes 100
2 hours 50 minutes 40
3 hours 30 minutes 10
…… ……
It should be noted that, the corresponding relation shown in above-mentioned table 3, difference method for expressing and time match mark of getting up are only exemplary, can not limit the disclosure.
Step 363, first terminal, according to the sport rank of two parties to be matched, calculates the sport rank coupling mark of two parties to be matched.
In an embodiment of the present disclosure, this step 363 can comprise:
The sport rank of first terminal base area coupling two parties and sport rank coupling mark computing formula, calculate the sport rank coupling mark of two parties to be matched, wherein sport rank coupling mark computing formula is:
q = a - a b s ( x - y ) * a n - 1
Wherein, q is the sport rank coupling mark of two parties to be matched, and a is the full marks of sport rank coupling mark, x is the sport rank of one of them user, and y is the sport rank of another user, and abs is for asking signed magnitude arithmetic(al), n is sport rank full marks, and n is not equal to 1.
Such as, the sport rank of one of them user is 1, and the sport rank of another user is 3, and the full marks of sport rank are 5, and the full marks of sport rank coupling mark are 100 points, then the sport rank coupling mark of these two users is:
q = 100 - a b s ( 3 - 1 ) * 100 5 - 1 = 100 - 2 * 25 = 50
Step 364, time for falling asleep mated mark by first terminal, get up time match mark and sport rank coupling mark are added according to respective weight, calculates the second matching degree of two parties to be matched.
Such as, the weight of time for falling asleep coupling mark is 30%, the weight of time match mark of getting up is 30%, the weight of sport rank coupling mark is 40%, the time for falling asleep coupling mark of two parties to be matched is 100, time match mark of getting up is 40, and sport rank coupling mark is 50, then the second matching degree of two parties to be matched is:
B=100*30%+40*30%+50*40%=62
Wherein, B represents the second matching degree.
In step 370, the first matching degree and the second matching degree are added according to respective weight by first terminal, obtain the comprehensive matching degree of two parties to be matched.
Certainly, when calculating the matching degree of habits and customs, above-mentioned time for falling asleep also can be adopted to mate mark, at least one item carries out in get up time match mark and sport rank coupling mark, the disclosure does not do concrete restriction.
Because the first matching degree and the second matching degree are for representing the matching degree of different aspect, therefore, weight can be set respectively for this first matching degree and the second matching degree, this weight can be arranged by system default, can also be arranged voluntarily by two parties to be matched, such as, if a certain user requires higher to the coupling of habits and customs, then the weight of this second matching degree can be set to the weight being greater than the first matching degree, the concrete set-up mode of the disclosure to weight is not construed as limiting.
Such as, the weight of the first matching degree is the weight of the 80%, second matching degree is 20%, and the first matching degree of two parties to be matched is the 33.33, second matching degree is 62, then the comprehensive matching degree of these two users is:
C=33.33*80%+62*20%=39.06
Wherein, C represents comprehensive matching degree.
It should be noted that, in the specific implementation, only can calculate the first matching degree and the second matching degree, and not carry out the calculating of comprehensive matching degree.
In an embodiment of the present disclosure, the first matching degree calculated, the second matching degree and comprehensive matching degree are sent to the second terminal by first terminal, first terminal and the second terminal show the first matching degree, the second matching degree and comprehensive matching degree respectively, can know whether mate in every respect between two people to make both sides.
In addition, misunderstanding and embarrassment in order to prevent two parties to be matched, only can show any one in the first matching degree, the second matching degree and comprehensive matching degree, the disclosure to concrete which matching degree of display is not construed as limiting.
In sum, user's matching degree determination methods that the present embodiment provides, the reference physiological data of two parties to be matched and the non-real time physiological data at the appointed time under section is obtained by terminal, and according to this non-real time physiological data with reference to physiological data, calculate the matching degree of two parties to be matched, solve matching degree determination methods in background technology and lack theoretical foundation, can not be convincing, result is inaccurate problem also, according to user's physiological data calculate user matching degree reach reasonable, result is accurate, compellent effect.
Above-described embodiment is that the executive agent judged as user's matching degree for first terminal is described, but, in another embodiment that the disclosure provides, can also based on system architecture as shown in Figure 1B, the executive agent judged as user's matching degree by cloud server, that is to say, the physiological data and habits and customs data etc. of both sides to be matched is obtained by cloud server, to carry out matching treatment, obtaining the first matching degree, in second matching degree and comprehensive matching degree after at least one item, obtained matching degree is sent to respectively first terminal and the second terminal, make first terminal user and the second terminal user can check the matching degree of both sides.
Following is device embodiment of the present invention, may be used for performing embodiment of the method for the present invention.For the details do not disclosed in apparatus of the present invention embodiment, please refer to embodiment of the method for the present invention.
Please refer to Fig. 4 A, it illustrates the structural representation of user's matching degree judgment means that one embodiment of the invention provides, this user's matching degree judgment means includes but not limited to:
First acquisition module 410, for obtaining the reference physiological data of two parties to be matched.
Second acquisition module 420, for obtaining the non-real time physiological data of two parties to be matched at the appointed time under section.
First computing module 430, for the non-real time physiological data according to two parties to be matched with reference to physiological data, calculates the first matching degree of two parties to be matched.
In an embodiment of the present disclosure, the above-mentioned at least one comprised with reference to physiological data and non-real time physiological data in shell temperature and heartbeat data.
In an embodiment of the present disclosure, the first computing module 430, for:
According to the non-real time physiological data of two parties to be matched with reference to physiological data, obtain the physiological data variability index of two parties to be matched.
According to physiological data variability index and the first matching degree computing formula, calculate the first matching degree of two parties to be matched, the first matching degree computing formula is:
p = ( x * y - 1 ) * a n 2 - 1
Wherein, p is the first matching degree, and x is the physiological data variability index of one of them user, and y is the physiological data variability index of another user, and a is the full marks of the first matching degree, and n is the full marks of physiology data variation index, and n is not equal to 1.
See Fig. 4 B, in another embodiment of the present disclosure, additionally provide another kind of user's matching degree judgment means, this device, based on the example structure of above-mentioned Fig. 4 A, also comprises:
3rd acquisition module 440, for obtaining the habits and customs data of two parties to be matched, habits and customs data to comprise between the time for falling asleep of user, WA and at least one item in sport rank.
Second computing module 450, for the habits and customs data according to two parties to be matched, calculates the second matching degree of two parties to be matched.
In an embodiment of the present disclosure, the second computing module 450, comprising:
Time for falling asleep coupling mark determining unit, for the time for falling asleep according to two parties to be matched, determines the time for falling asleep coupling mark of two parties to be matched.
To get up time match mark determining unit, for according between the WA of two parties to be matched, determine the time match mark of getting up of two parties to be matched.
Sport rank coupling score calculating unit, for the sport rank according to two parties to be matched, calculates the sport rank coupling mark of two parties to be matched.
Second matching degree computing unit, for time for falling asleep being mated mark, get up time match mark and sport rank coupling mark be added according to respective weight, calculates the second matching degree of two parties to be matched.
In an embodiment of the present disclosure, above-mentioned time for falling asleep coupling mark determining unit, for:
Calculate the first difference, this first difference is the difference of two parties time for falling asleep to be matched.
From default time for falling asleep matching database, obtain the time for falling asleep corresponding with above-mentioned first difference and mate mark, wherein preset time for falling asleep matching database and mate mark for storing the first difference with corresponding time for falling asleep.
In an embodiment of the present disclosure, above-mentioned time match mark determining unit of getting up, for:
Calculate the second difference, this second difference is the difference between two parties WA to be matched.
From matching database between default WA, obtaining the get up time match mark corresponding with above-mentioned second difference, wherein presetting between WA matching database for storing the second difference and corresponding time match mark of getting up.
In an embodiment of the present disclosure, above-mentioned sport rank coupling score calculating unit, for:
According to sport rank and the sport rank coupling mark computing formula of two parties to be matched, calculate the sport rank coupling mark of two parties to be matched, sport rank coupling mark computing formula is:
q = a - a b s ( x - y ) * a n - 1
Wherein, q is the sport rank coupling mark of two parties to be matched, and a is the full marks of sport rank coupling mark, x is the sport rank of one of them user, and y is the sport rank of another user, and abs is for asking signed magnitude arithmetic(al), n is the full marks of sport rank, and n is not equal to 1.
In an embodiment of the present disclosure, above-mentioned user's matching degree judgment means also comprises:
3rd computing module 460, for the first matching degree and described second matching degree being added according to respective weight, calculates the comprehensive matching degree of two parties to be matched.
In sum, user's matching degree judgment means that the present embodiment provides, the reference physiological data of two parties to be matched and the non-real time physiological data at the appointed time under section is obtained by the first acquisition module and the second acquisition module, first computing module is according to this non-real time physiological data with reference to physiological data, calculate the matching degree of two parties to be matched, solve matching degree determination methods in background technology and lack theoretical foundation, can not be convincing, result is inaccurate problem also, calculating user's matching degree according to user's physiological data reaches reasonable, result is accurate, compellent effect.
It should be noted that: user's matching degree judgment means that above-described embodiment provides is when judging user's matching degree, 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 device is divided into different functional modules, to complete all or part of function described above.In addition, the embodiment of user's matching degree judgment means that above-described embodiment provides and user's matching degree determination methods belongs to same design, and its specific implementation process refers to embodiment of the method, repeats no more here.
Fig. 5 is the block diagram of a kind of terminal 500 according to an exemplary embodiment, and this terminal may be used for performing the user's matching degree determination methods provided in each embodiment above-mentioned.See Fig. 5, this terminal 500 comprises:
Terminal 500 can comprise RF (RadioFrequency, radio frequency) circuit 510, the storer 520 including one or more computer-readable recording mediums, input block 530, display unit 540, sensor 550, voicefrequency circuit 560, WiFi (WirelessFidelity, Wireless Fidelity) module 570, include the parts such as processor 580 and power supply 590 that more than or processes core.It will be understood by those skilled in the art that the restriction of the not structure paired terminal of the terminal structure shown in Fig. 5, the parts more more or less than diagram can be comprised, or combine some parts, or different parts are arranged.Wherein:
RF circuit 510 can be used for receiving and sending messages or in communication process, the reception of signal and transmission, especially, after being received by the downlink information of base station, transfer to more than one or one processor 580 to process; In addition, base station is sent to by relating to up data.Usually, RF circuit 510 includes but not limited to antenna, at least one amplifier, tuner, one or more oscillator, subscriber identity module (SIM) card, transceiver, coupling mechanism, LNA (LowNoiseAmplifier, low noise amplifier), diplexer etc.In addition, RF circuit 110 can also by radio communication and network and other devices communicatings.Described radio communication can use arbitrary communication standard or agreement, include but not limited to GSM (GlobalSystemofMobilecommunication, global system for mobile communications), GPRS (GeneralPacketRadioService, general packet radio service), CDMA (CodeDivisionMultipleAccess, CDMA), WCDMA (WidebandCodeDivisionMultipleAccess, Wideband Code Division Multiple Access (WCDMA)), LTE (LongTermEvolution, Long Term Evolution), Email, SMS (ShortMessagingService, Short Message Service) etc.
Storer 520 can be used for storing software program and module, and processor 580 is stored in software program and the module of storer 520 by running, thus performs the application of various function and data processing.Storer 520 mainly can comprise storage program district and store data field, and wherein, storage program district can store operating system, application program (such as sound-playing function, image player function etc.) etc. needed at least one function; Store data field and can store the data (such as voice data, phone directory etc.) etc. created according to the use of terminal 500.In addition, storer 520 can comprise high-speed random access memory, can also comprise nonvolatile memory, such as at least one disk memory, flush memory device or other volatile solid-state parts.Correspondingly, storer 520 can also comprise Memory Controller, to provide the access of processor 580 and input block 530 pairs of storeies 520.
Input block 530 can be used for the numeral or the character information that receive input, and produces and to arrange with user and function controls relevant keyboard, mouse, control lever, optics or trace ball signal and inputs.Particularly, input block 530 can comprise Touch sensitive surface 531 and other input equipments 532.Touch sensitive surface 531, also referred to as touch display screen or Trackpad, user can be collected or neighbouring touch operation (such as user uses any applicable object or the operations of annex on Touch sensitive surface 531 or near Touch sensitive surface 531 such as finger, stylus) thereon, and drive corresponding coupling arrangement according to the formula preset.Optionally, Touch sensitive surface 531 can comprise touch detecting apparatus and touch controller two parts.Wherein, touch detecting apparatus detects the touch orientation of user, and detects the signal that touch operation brings, and sends signal to touch controller; Touch controller receives touch information from touch detecting apparatus, and converts it to contact coordinate, then gives processor 580, and the order that energy receiving processor 580 is sent also is performed.In addition, the polytypes such as resistance-type, condenser type, infrared ray and surface acoustic wave can be adopted to realize Touch sensitive surface 531.Except Touch sensitive surface 531, input block 530 can also comprise other input equipments 532.Particularly, other input equipments 532 can include but not limited to one or more in physical keyboard, function key (such as volume control button, switch key etc.), trace ball, mouse, control lever etc.
Display unit 540 can be used for the various graphical user interface showing information or the information being supplied to user and the terminal 500 inputted by user, and these graphical user interface can be made up of figure, text, icon, video and its combination in any.Display unit 540 can comprise display panel 541, optionally, the form such as LCD (LiquidCrystalDisplay, liquid crystal display), OLED (OrganicLight-EmittingDiode, Organic Light Emitting Diode) can be adopted to configure display panel 541.Further, Touch sensitive surface 531 can cover display panel 541, when Touch sensitive surface 531 detects thereon or after neighbouring touch operation, send processor 580 to determine the type of touch event, on display panel 541, provide corresponding vision to export with preprocessor 580 according to the type of touch event.Although in Figure 5, Touch sensitive surface 531 and display panel 541 be as two independently parts realize input and input function, in certain embodiments, can by Touch sensitive surface 531 and display panel 541 integrated and realize input and output function.
Terminal 500 also can comprise at least one sensor 550, such as optical sensor, motion sensor and other sensors.Particularly, optical sensor can comprise ambient light sensor and proximity transducer, and wherein, ambient light sensor the light and shade of environmentally light can regulate the brightness of display panel 541, proximity transducer when terminal 500 moves in one's ear, can cut out display panel 541 and/or backlight.As the one of motion sensor, Gravity accelerometer can detect the size of all directions (are generally three axles) acceleration, size and the direction of gravity can be detected time static, can be used for identifying the application (such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating) of mobile phone attitude, Vibration identification correlation function (such as passometer, knock) etc.; As for terminal 500 also other sensors such as configurable gyroscope, barometer, hygrometer, thermometer, infrared ray sensor, do not repeat them here.
Voicefrequency circuit 560, loudspeaker 561, microphone 562 can provide the audio interface between user and terminal 500.Voicefrequency circuit 560 can by receive voice data conversion after electric signal, be transferred to loudspeaker 561, by loudspeaker 561 be converted to voice signal export; On the other hand, the voice signal of collection is converted to electric signal by microphone 562, voice data is converted to after being received by voicefrequency circuit 560, after again voice data output processor 580 being processed, through RF circuit 510 to send to such as another terminal, or export voice data to storer 520 to process further.Voicefrequency circuit 560 also may comprise earphone jack, to provide the communication of peripheral hardware earphone and terminal 500.
WiFi belongs to short range wireless transmission technology, and terminal 500 can help user to send and receive e-mail by WiFi module 570, browse webpage and access streaming video etc., and its broadband internet wireless for user provides is accessed.Although Fig. 5 shows WiFi module 570, be understandable that, it does not belong to must forming of terminal 500, can omit in the scope of essence not changing invention as required completely.
Processor 580 is control centers of terminal 500, utilize the various piece of various interface and the whole mobile phone of connection, software program in storer 520 and/or module is stored in by running or performing, and call the data be stored in storer 520, perform various function and the process data of terminal 500, thus integral monitoring is carried out to mobile phone.Optionally, processor 580 can comprise one or more process core; Preferably, processor 580 accessible site application processor and modem processor, wherein, application processor mainly processes operating system, user interface and application program etc., and modem processor mainly processes radio communication.Be understandable that, above-mentioned modem processor also can not be integrated in processor 580.
Terminal 500 also comprises the power supply 590 (such as battery) of powering to all parts, preferably, power supply can be connected with processor 580 logic by power-supply management system, thus realizes the functions such as management charging, electric discharge and power managed by power-supply management system.Power supply 590 can also comprise one or more direct current or AC power, recharging system, power failure detection circuit, power supply changeover device or the random component such as inverter, power supply status indicator.
Although not shown, terminal 500 can also comprise camera, bluetooth module etc., does not repeat them here.Specifically in the present embodiment, the display unit of terminal is touch-screen display, and terminal also includes storer, and one or more than one program, one of them or more than one program are stored in storer, and are configured to be performed by more than one or one processor.Described more than one or one routine package is containing the instruction for performing end side operation in above-mentioned Fig. 1 and Fig. 2 and its embodiment.
Fig. 6 is the block diagram of a kind of server 600 according to an exemplary embodiment.With reference to Fig. 6, server 600 comprises processing components 622, and it comprises one or more processor further, and the memory resource representated by storer 632, can such as, by the instruction of the execution of processing element 622, application program for storing.The application program stored in storer 632 can comprise each module corresponding to one group of instruction one or more.In addition, processing components 622 is configured to perform instruction, to perform above-mentioned resources use right limit determination methods.
Server 600 can also comprise the power management that a power supply module 626 is configured to perform server 600, and a wired or wireless network interface 650 is configured to server 600 to be connected to network, and input and output (I/O) interface 658.Server 600 can operate the operating system based on being stored in storer 632, such as WindowsServer tM, MacOSX tM, Unix tM, Linux tM, FreeBSD tMor it is similar.
One of ordinary skill in the art will appreciate that all or part of step realizing above-described embodiment can have been come by hardware, the hardware that also can carry out instruction relevant by program completes, described program can be stored in a kind of computer-readable recording medium, the above-mentioned storage medium mentioned can be ROM (read-only memory), disk or CD etc.
The foregoing is only preferred embodiment of the present invention, not in order to limit the present invention, within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.

Claims (18)

1. a determination methods for user's matching degree, is characterized in that, described method comprises:
Obtain the reference physiological data of two parties to be matched;
Obtain the non-real time physiological data of described two parties to be matched at the appointed time under section;
According to the non-real time physiological data of described two parties to be matched with reference to physiological data, calculate the first matching degree of described two parties to be matched.
2. method according to claim 1, is characterized in that, described physiological data comprises shell temperature and/or heartbeat data.
3. method according to claim 1, is characterized in that, according to the non-real time physiological data of described two parties to be matched with reference to physiological data, calculates the first matching degree of described two parties to be matched, comprising:
According to the non-real time physiological data of described two parties to be matched with reference to physiological data, obtain the physiological data variability index of described two parties to be matched;
According to described physiological data variability index and the first matching degree computing formula, calculate the first matching degree of described two parties to be matched, described first matching degree computing formula is:
p = ( x * y - 1 ) * a n 2 - 1
Wherein, p is described first matching degree, and x is the described physiological data variability index of one of them user, and y is the described physiological data variability index of another user, and a is the full marks of described first matching degree, and n is the full marks of physiology data variation index, and n is not equal to 1.
4. method according to claim 1, is characterized in that, described method also comprises:
Obtain the habits and customs data of described two parties to be matched, described habits and customs data to comprise between the time for falling asleep of user, WA and at least one item in sport rank;
According to the habits and customs data of described two parties to be matched, calculate the second matching degree of described two parties to be matched.
5. method according to claim 4, is characterized in that, according to the habits and customs data of described two parties to be matched, calculates the second matching degree of described two parties to be matched, comprising:
According to the time for falling asleep of described two parties to be matched, determine the time for falling asleep coupling mark of described two parties to be matched;
Between the WA according to described two parties to be matched, determine the time match mark of getting up of described two parties to be matched;
According to the sport rank of described two parties to be matched, calculate the sport rank coupling mark of described two parties to be matched;
By described time for falling asleep coupling mark, described in get up time match mark and described sport rank coupling mark be added according to respective weight, calculate the second matching degree of described two parties to be matched.
6. method according to claim 5, is characterized in that, according to the time for falling asleep of described two parties to be matched, determines the time for falling asleep coupling mark of described two parties to be matched, comprising:
Calculate the first difference, described first difference is the difference of described two parties time for falling asleep to be matched;
From default time for falling asleep matching database, obtain the time for falling asleep corresponding with described first difference and mate mark, described default time for falling asleep matching database mates mark for storing described first difference with corresponding time for falling asleep.
7. method according to claim 5, is characterized in that, between the WA according to described two parties to be matched, determines the time match mark of getting up of described two parties to be matched, comprising:
Calculate the second difference, described second difference is the difference between described two parties WA to be matched;
From matching database between default WA, obtain the get up time match mark corresponding with described second difference, between described default WA, matching database is for storing described second difference and corresponding time match mark of getting up.
8. method according to claim 5, is characterized in that, according to the sport rank of described two parties to be matched, calculates the sport rank coupling mark of described two parties to be matched, comprising:
According to sport rank and the sport rank coupling mark computing formula of described two parties to be matched, calculate the sport rank coupling mark of described two parties to be matched, described sport rank coupling mark computing formula is:
q = a - a b s ( x - y ) * a n - 1
Wherein, q is the sport rank coupling mark of described two parties to be matched, and a is the full marks of described sport rank coupling mark, x is the sport rank of one of them user, and y is the sport rank of another user, and abs is for asking signed magnitude arithmetic(al), n is the full marks of sport rank, and n is not equal to 1.
9. method according to claim 1, is characterized in that, according to the habits and customs data of described two parties to be matched, after calculating the second matching degree of described two parties to be matched, described method also comprises:
Described first matching degree and described second matching degree are added according to respective weight, obtain the comprehensive matching degree of described two parties to be matched.
10. a judgment means for user's matching degree, is characterized in that, described device comprises:
First acquisition module, for obtaining the reference physiological data of two parties to be matched;
Second acquisition module, for obtaining the non-real time physiological data of described two parties to be matched at the appointed time under section;
First computing module, for the non-real time physiological data according to described two parties to be matched with reference to physiological data, calculates the first matching degree of described two parties to be matched.
11. devices according to claim 10, is characterized in that, described physiological data comprises shell temperature and/or heartbeat data.
12. devices according to claim 10, is characterized in that, described first computing module is used for:
According to the non-real time physiological data of described two parties to be matched with reference to physiological data, obtain the physiological data variability index of described two parties to be matched;
According to described physiological data variability index and the first matching degree computing formula, calculate the first matching degree of described two parties to be matched, described first matching degree computing formula is:
p = ( x * y - 1 ) * a n 2 - 1
Wherein, p is described first matching degree, and x is the described physiological data variability index of one of them user, and y is the described physiological data variability index of another user, and a is the full marks of described first matching degree, and n is the full marks of physiology data variation index, and n is not equal to 1.
13. devices according to claim 10, is characterized in that, described device also comprises:
3rd acquisition module, for obtaining the habits and customs data of described two parties to be matched, described habits and customs data to comprise between the time for falling asleep of user, WA and at least one item in sport rank;
Second computing module, for the habits and customs data according to described two parties to be matched, calculates the second matching degree of described two parties to be matched.
14. devices according to claim 13, is characterized in that, described second computing module, comprising:
Time for falling asleep coupling mark determining unit, for the time for falling asleep according to described two parties to be matched, determines the time for falling asleep coupling mark of described two parties to be matched;
To get up time match mark determining unit, for according between the WA of described two parties to be matched, determine the time match mark of getting up of described two parties to be matched;
Sport rank coupling score calculating unit, for the sport rank according to described two parties to be matched, calculates the sport rank coupling mark of described two parties to be matched;
Second matching degree computing unit, for by described time for falling asleep coupling mark, described in get up time match mark and described sport rank coupling mark be added according to respective weight, calculate the second matching degree of described two parties to be matched.
15. devices according to claim 14, is characterized in that, described time for falling asleep coupling mark determining unit is used for:
Calculate the first difference, described first difference is the difference of described two parties time for falling asleep to be matched;
From default time for falling asleep matching database, obtain the time for falling asleep corresponding with described first difference and mate mark, described default time for falling asleep matching database mates mark for storing described first difference with corresponding time for falling asleep.
16. devices according to claim 14, is characterized in that, described in get up time match mark determining unit for:
Calculate the second difference, described second difference is the difference between described two parties WA to be matched;
From matching database between default WA, obtain the get up time match mark corresponding with described second difference, between described default WA, matching database is for storing described second difference and corresponding time match mark of getting up.
17. devices according to claim 14, is characterized in that, described sport rank coupling score calculating unit is used for:
According to sport rank and the sport rank coupling mark computing formula of described two parties to be matched, calculate the sport rank coupling mark of described two parties to be matched, described sport rank coupling mark computing formula is:
q = a - a b s ( x - y ) * a n - 1
Wherein, q is the sport rank coupling mark of described two parties to be matched, and a is the full marks of described sport rank coupling mark, x is the sport rank of one of them user, and y is the sport rank of another user, and abs is for asking signed magnitude arithmetic(al), n is the full marks of sport rank, and n is not equal to 1.
18. devices according to claim 10, is characterized in that, described device also comprises:
3rd computing module, for described first matching degree and described second matching degree being added according to respective weight, obtains the comprehensive matching degree of described two parties to be matched.
CN201510719423.3A 2015-10-29 2015-10-29 User matching degree determination method and apparatus Pending CN105426400A (en)

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