CN107705850A - A kind of method that the exclusive mobile terminal of family is determined based on mobile terminal big data - Google Patents
A kind of method that the exclusive mobile terminal of family is determined based on mobile terminal big data Download PDFInfo
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Abstract
The present invention provides a kind of method that the exclusive mobile terminal of family is determined based on mobile terminal big data, comprises the following steps：A. z=δ+f are based on1(x, y)=δ+x × y structure first function models, wherein, δ is correction parameter, x is the objective parameter that first big data of the third party system based on the service mobile terminal obtains, y is that second big data of the third party system based on the service mobile terminal obtains subjective parameters, and z is the evaluation of estimate of the service mobile terminal；B. whole evaluation of estimate z corresponding to multiple service mobile terminals are obtained based on the first function model；C. the exclusive mobile terminal of the family is determined based on whole evaluation of estimate z corresponding to multiple service mobile terminals.The present invention realizes between multiple service mobile terminals and the information configuration between service mobile terminal and family's mobile terminal and accumulation, more can accurately determine the exclusive mobile terminal of family to match with family mobile terminal.
Description
Technical field
The present invention relates to field of computer technology, more particularly to a kind of determination family based on mobile terminal is exclusive mobile whole
The method at end.
Background technology
Mobile Clinics are gradually popularized with the growing of mobile computer field.Between sufferer and doctor, energy
Information exchange is enough carried out by mobile device or computer equipment, realizes that interrogation is seen a doctor in strange land.In the prior art, common one kind
Mobile diagnosis and treatment scheme includes following technological means：
User inputs the sufferer information such as state of an illness information, personal information to user terminal；
User terminal sends above-mentioned sufferer information to server；
Above-mentioned sufferer information is pushed to doctor terminal by server according to consistency operation logic；
Sufferer validation of information return information of the doctor then based on doctor terminal push, and sent out the return information by doctor terminal
Deliver to server；
Server then pushes the return information to the user terminal.
But prior art is to establish the matching way ratio of the point-to-point connection of doctor and patient, doctor and patient
It is relatively simple, otherwise be patient actively by Systematic selection doctor, or be that doctor passes through Systematic selection patient, such match party
Formula is excessively simple, and the data interaction of user terminal and doctor terminal is isolated, can not realize information configuration between each terminal and
Accumulation, do not consider the matching degree of user terminal and doctor terminal.
The content of the invention
The technical problem that technical solution of the present invention solves is, how according to the big data accumulated in mobile diagnosis and treatment process
It is determined that the exclusive mobile terminal of family matched with family mobile terminal.
In order to solve the above-mentioned technical problem, technical solution of the present invention provides one kind and determines house based on mobile terminal big data
The method of the exclusive mobile terminal in front yard, it is used to determine the family to match with family's mobile terminal from multiple service mobile terminals
Exclusive mobile terminal, comprises the following steps：
A. z=δ+f are based on1(x, y)=δ+x × y structure first function models, wherein, δ is correction parameter, and x is third party
The objective parameter that first big data of the system based on the service mobile terminal obtains, y are that third party system is based on the service
Second big data of mobile terminal obtains subjective parameters, and z is the evaluation of estimate of the service mobile terminal；
B. whole evaluation of estimate z corresponding to multiple service mobile terminals are obtained based on the first function model；
C. the exclusive mobile terminal of the family is determined based on whole evaluation of estimate z corresponding to multiple service mobile terminals.
Preferably, the correction coefficient δ and the service mobile terminal to family's mobile terminal distance are inversely proportional,
The step c comprises the following steps：
C1. whole institute evaluation values z corresponding to multiple service mobile terminals are contrasted, by the institute evaluation values z of maximum
The corresponding service mobile terminal is defined as the exclusive mobile terminal of the family.
Preferably, the correction coefficient δ is obtained in the following manner：
Obtain the position coordinates of the service mobile terminal and the position coordinates of family's mobile terminal；
Calculate the distance of the position coordinates of the service mobile terminal and the position coordinates of family's mobile terminal；
The correction coefficient δ is determined based on the distance.
Preferably, distances of the correction coefficient δ based on the service mobile terminal to family's mobile terminal obtains,
The step c comprises the following steps：
C2. based on whole institute evaluation values z structures normal distributions corresponding to multiple service mobile terminals；
C3. the service mobile terminal corresponding to the institute evaluation values z that standardized normal distribution will be obeyed is defined as the family
The exclusive mobile terminal in front yard.
Preferably, in the step c3, if multiple institute evaluation values z obey standardized normal distribution, perform
Following steps：
C4. the spy of the service mobile terminal corresponding to multiple institute evaluation values z of standardized normal distribution will be obeyed
Sign code is sent to family's mobile terminal；
C5. the instruction based on family's mobile terminal determines the exclusive mobile terminal of the family.
Preferably, the objective parameter x is obtained in the following way；
Based on x=f2(a, b, c, d)=a × b × log (c × d) builds second function model, wherein, a is the service
The frequency quantity of mobile terminal processing data, b are the success rate of the service mobile terminal processing data, and c moves for the service
The species number of dynamic terminal processes data, d are the number for third party's mobile terminal that data interaction occurs with the service mobile terminal
Amount；
The objective parameter x corresponding to the service mobile terminal is determined based on the second function model.
Preferably, the subjective parameters y is obtained in the following way；
Based on y=f3(g, h, j)=g × h × j builds the 3rd function model, wherein, g is third party system to the clothes
The evaluation coefficient of business mobile terminal, h are the frequency ratio of the service mobile terminal processing data, and j is mobile whole for the service
Hold the efficiency of processing data；
The subjective parameters y corresponding to the service mobile terminal is determined based on the 3rd function model.
Preferably, the evaluation coefficient g is determined in the following manner：
The service mobile terminal produces some data flows during processing data；
The third party system captures critical data from some data flows and based on the quantity of the critical data
Determine the evaluation coefficient g.
Preferably, the critical data includes positive data and negative data, wherein, the third party system often grabs
Once the positive data is then adjusted to the evaluation coefficient g and increased once, and the third party system often grabs once described negative
Data are then adjusted and reduced once to the evaluation coefficient g.
Preferably, the correction parameter δ is also modified in the following manner：
The service mobile terminal sends fisrt feature data to third party system；
The third party system, which is counted in the data that the service mobile terminal is sent, there are the fisrt feature data
Frequency；
If the frequency for the fisrt feature data occur in the data that the service mobile terminal is sent exceedes first threshold,
Then adjust and increase the correction coefficient δ, if there is the frequency of the fisrt feature data in the data that the service mobile terminal is sent
Not less than the first threshold, then the correction coefficient δ is adjusted and reduced.
The present invention is based on specific algorithm between multiple service mobile terminals and service mobile terminal and family move
Data interaction between terminal is handled, and realizes between multiple service mobile terminals and service mobile terminal and family move
Information configuration and accumulation between dynamic terminal, not only pass through the data interaction between service mobile terminal and family's mobile terminal
It is determined that matching degree therebetween, also by the data interaction between multiple service mobile terminals to specific service mobile terminal
Evaluated, and then the matching degree between service mobile terminal and family's mobile terminal be modified, so as to judge whether by
The specific service mobile terminal is as the exclusive mobile terminal of family.
Brief description of the drawings
The detailed description made by reading with reference to the following drawings to non-limiting example, other features of the invention,
Objects and advantages will become more apparent upon：
Fig. 1 shows the embodiment of the present invention, and one kind determines the exclusive shifting of family based on mobile terminal big data
The schematic flow sheet of the method for dynamic terminal；
Fig. 2 shows one embodiment of the present of invention, and one kind determines the exclusive movement of family based on mobile terminal big data
The schematic flow sheet of the method for terminal；
Fig. 3 shows one embodiment of the present of invention, the schematic flow sheet of the acquisition modes of the correction coefficient δ；
Fig. 4 shows one embodiment of the present of invention, the schematic flow sheet of the acquisition modes of the objective parameter x；
Fig. 5 shows one embodiment of the present of invention, the schematic flow sheet of the acquisition modes of the subjective parameters y；
Fig. 6 shows one embodiment of the present of invention, the schematic flow sheet of the evaluation coefficient g determination modes；And
Fig. 7 shows one embodiment of the present of invention, the schematic flow sheet of the correcting mode of the correction coefficient δ.
Embodiment
The method provided by the invention that the exclusive mobile terminal of family is determined based on mobile terminal big data, it is used for from multiple
The exclusive mobile terminal of family to match with family's mobile terminal, specifically, multiple services are determined in service mobile terminal
Mobile terminal can be understood as being moved by mobile phone, notebook computer or the tablet personal computer of multiple doctors individual control, the family
Dynamic terminal can be understood as by mobile phone, notebook computer or tablet personal computer of single either multiple non-physician individual controls etc.,
Mobile phone, notebook computer or the tablet personal computer of the single doctor's individual control of the exclusive mobile terminal of family.In order to more preferable
Technical scheme is set clearly to show, the invention will be further described below in conjunction with the accompanying drawings.
Fig. 1 shows the embodiment of the present invention, and one kind determines the exclusive shifting of family based on mobile terminal big data
The method of dynamic terminal, comprises the following steps：
Step S101 is first carried out, based on z=δ+f1(x, y)=δ+x × y structure first function models, wherein, δ is school
Positive parameter, x are the objective parameter that first big data of the third party system based on the service mobile terminal obtains, and y is third party
Second big data of the system based on the service mobile terminal obtains subjective parameters, and z is the evaluation of estimate of the service mobile terminal.
Specifically, the distance determination that the correction parameter δ can be based on the service mobile terminal to family's mobile terminal, may be used also
Determined with the degree of association based on the service mobile terminal and family's mobile terminal.More specifically, based on the service
The distance of mobile terminal to family's mobile terminal determines that the mode of the correction parameter δ will be described below in embodiment and said
It is bright, and the degree of association of the service mobile terminal and family's mobile terminal can pass through service mobile terminal visiting institute
The number for stating family's mobile terminal determines that visiting number can move eventually by locking the service mobile terminal and the family
The position at end and determine, such as determine by GPS the position of the service mobile terminal and family's mobile terminal respectively
Position, when the position of the service mobile terminal is less than specific threshold to the position of family's mobile terminal, that is, determine institute
State service mobile terminal and visit family's mobile terminal once, change as one kind, this can also be realized by dipper system
Scheme, or this programme is realized by the confirmation of family's mobile terminal, it will not be described here.
Further, the objective parameter x is that first big data of the third party system based on the service mobile terminal obtains
.Specifically, in the application of reality, A service mobile terminals log in the third party system and are issued to the third party system
System, first specific data of the third party system statistics A service mobile terminals in regular job, the first specific data
Obtained during mainly being interacted by A service mobile terminals with third party's mobile terminal, third party's terminal both can be
Family's mobile terminal, can also be other service mobile terminals.More specifically, family's mobile terminal or other
Service mobile terminal can send pending data to A service mobile terminals, and A service mobile terminals are described pending to what is received
Data are handled, and are obtained it will be appreciated by those skilled in the art that the first specific data can both be based on the pending data,
It can also be based on the result acquisition to being obtained after pending data processing, be also based on third party's movement
The data of terminal obtain.Art technology technical staff understands that the third party system counts the first specific data and obtained
First big data of the service mobile terminal.
Further, subjective parameters y is that second big data of the third party system based on the service mobile terminal obtains.Tool
Body, in the application of reality, A service mobile terminals log in the third party system and are issued to the third party system, institute
Second specific data of the third party system statistics A service mobile terminals in regular job are stated, the second specific data are main
Obtained by counting the A service mobile terminals operation behavior of itself.More specifically, family's mobile terminal or other
Service mobile terminal can send pending data to A service mobile terminals, and the second specific data take typically by analysis A
Business mobile terminal obtains to the behavioural characteristic of the pending data received, such as can be directly by analyzing A services
Mobile terminal handle behavioural trait and obtain, in another example can also by A service mobile terminals processing row evaluated and
Obtain.Art technology technical staff understands that the third party system counts the second specific data and obtains the service shifting
Second big data of dynamic terminal.
Further, evaluation of estimate z is quantification index corresponding to the service mobile terminal.Specifically, in the application of reality
In, third party system is by determining correction parameter δ, the objective parameter x and subjective parameters y, Jin Erji of some service mobile terminal
Formula in step S101 obtains the evaluation of estimate z of the service mobile terminal.
Further, step S102 is performed, multiple service mobile terminals pair are obtained based on the first function model
The whole evaluation of estimate z answered.Specifically, in step S102 the determination of multiple service mobile terminals according to family's mobile terminal and
Selection, multiple service mobile terminals are selected advantageously according to the position of family's mobile terminal, such as can be according to institute
Some ad-hoc location for stating family's mobile terminal selects multiple service mobile terminals, can also be moved eventually according to the family
Multiple ad-hoc locations of the frequent appearance at end select multiple service mobile terminals, change as one kind, can also authorize institute
That states family's mobile terminal actively selects multiple service mobile terminals.More specifically, multiple service mobile terminals
Once it is determined that the evaluation of estimate z of multiple service mobile terminals is then calculated according to the step S101.
Further, step S103 is performed, institute is determined based on whole evaluation of estimate z corresponding to multiple service mobile terminals
State the exclusive mobile terminal of family.Specifically, it is determined that the mode of the exclusive mobile terminal of family can pass through third party system root
According to certain regular determination, the home services terminal can also be authorized actively to select, latter embodiments will be explained in detail as
What determines the exclusive mobile terminal of the family by third party system, will not be described here.
Fig. 2 shows one embodiment of the present of invention, and one kind determines the exclusive movement of family based on mobile terminal big data
The method of terminal, comprises the following steps：
Step S201 is first carried out, based on z=δ+f1(x, y)=δ+f2(a, b, c, d) × f3(g, h, j) builds the first letter
Exponential model, those skilled in the art can combine step S101 content understanding step S201.
Wherein, Fig. 3 shows the acquisition modes of the correction coefficient δ, specifically comprises the following steps：
Step S2011 is performed, obtains the position coordinates of the service mobile terminal and the position of family's mobile terminal
Coordinate.Specifically, after the service mobile terminal and family's mobile terminal are registered in third party system, third party system
System is authorized to the positional information for capturing the service mobile terminal and family's mobile terminal in real time, and this step can
To be realized according to existing location technology, will not be described here.
Step S2012 is performed, calculates the position coordinates of the service mobile terminal and the position of family's mobile terminal
The distance of coordinate.It will be appreciated by those skilled in the art that the service mobile terminal and institute can be calculated by conventional java language
Distance realizes this step between stating the theodolite place of family's mobile terminal.Specifically, this step obtains the distance and need not made
For real distance, it may be said that be logical reach, in a preferred embodiment, if requiring the range information of high accuracy
If, or by the acquisition of third-party map software api interfaces.
Step S2013 is performed, the correction coefficient δ is determined based on the distance.Specifically, can be by the tool of the distance
Body numerical value is converted into the correction coefficient δ, is also based on certain proportionate relationship and simulates the specific correction system
Number δ numerical value, if it will be appreciated by those skilled in the art that determining the correction coefficient δ by way of simulation, it is preferable that it is described away from
It is inversely proportional from the correction coefficient δ, i.e. the distance values are bigger, then the correction coefficient δ is smaller, the distance values
Smaller, then the correction coefficient δ is bigger.
Further, Fig. 4 shows the acquisition modes of the objective parameter x, specifically comprises the following steps：
Step S2014 is performed, based on x=f2(a, b, c, d)=a × b × log (c × d) builds second function model, its
In, a is the frequency quantity of the service mobile terminal processing data, and b is the success rate of the service mobile terminal processing data,
C is the species number of the service mobile terminal processing data, and d is the third party that data interaction occurs with the service mobile terminal
The quantity of mobile terminal.With reference to step S101 description, family's mobile terminal or other service mobile terminals can take to A
Business mobile terminal sends pending data, and A service mobile terminals are handled the pending data received, in this reality
To apply in example, the first particular data packet corresponding to A service mobile terminals includes the number that third party's mobile terminal sends pending data,
The species number of whole pending datas of transmission, the ratio that whole results are approved by third party's mobile terminal, third party
The quantity of mobile terminal, correspondingly, the first big data corresponding to A service mobile terminals are four variables a, b, c, d.
Further, illustrated with a specific example, family's mobile terminal and other service mobile terminals
50 pending datas were sent altogether in 1 month to A service mobile terminals, A service mobile terminals only handle 10 times, then a
Numerical value be 10；A service mobile terminals, which handle 10 pending datas, can obtain 10 results, if 10 results
Approve that then the numerical value of the b is 1 by family's mobile terminal or other service mobile terminals, if at only 9
Reason result approves that then the numerical value of the b is 0.9 by family's mobile terminal or other service mobile terminals；A takes
10 pending datas of business mobile terminal processing are divided multiple species, and conventional dividing mode is the species by disease,
If 10 pending datas can belong to 4 different diseases, the numerical value of the c is 4；If share 2 families to move
Dynamic terminal and 4 other service mobile terminals send pending data to A service mobile terminals, although A service mobile terminals are only
10 pending datas are handled, but A service mobile terminals pass through third party system and 2 family's mobile terminals and 4
Other individual service mobile terminals have carried out interaction, then the numerical value of the d is 6, similarly, although A service mobile terminals are only handled
10 pending datas, but only carried out interaction with wherein 1 family's mobile terminal, then the numerical value of the d is 1, interaction side
Formula is usually evaluation mutually, the mutually mode such as message or Online talking.
Step S2015 is performed, it is described objective corresponding to the service mobile terminal to be determined based on the second function model
Parameter x.Specifically, with reference to the description in step S2021, with the accumulation of the first specific data of A service mobile terminals, it is corresponding
The first big data be also continually changing, correspondingly, four variables a, b, c, d are constantly to become corresponding to A service mobile terminals
Change, third party system is when particular point in time calculates objective parameter x corresponding to A service mobile terminals, according to the special time
Objective parameter x is calculated in four variable quantities a, b, c, d and second function model corresponding to point.
Further, Fig. 5 shows the acquisition modes of the subjective parameters y, specifically comprises the following steps：
Step S2016 is performed, based on y=f3(g, h, j)=g × h × j builds the 3rd function model, wherein, g is the 3rd
Method, system is to the evaluation coefficient of the service mobile terminal, and h is the frequency ratio of the service mobile terminal processing data, and j is
The efficiency of the service mobile terminal processing data.With reference to step S101 description, A service mobile terminals log in the third party
System is simultaneously issued to the third party system, and family's mobile terminal or other service mobile terminals can be serviced to A and moved
Terminal sends pending data, and the third party system counts second specific data of the A service mobile terminals in regular job,
In the present embodiment, the second particular data packet includes whole evaluating datas of the third party system to A service mobile terminals, and A services move
The par for the pending data that dynamic terminal is handled in section at a fixed time, A service mobile terminals draw result
Average time, correspondingly, the second big data are three variables g, h, j.
Further, illustrated with a specific example, 40 pending datas of A service mobile terminal coprocessing and
To 40 results, third party system is weighed out according to evaluation of third party's mobile terminal to 40 results and taken for A
The evaluating data of business mobile terminal, the preferably evaluating data is digitized that specific measurement pattern has a variety of, this area skill
Art personnel can combine existing evaluation system and realize；Third party system obtains always according to the interval time between 40 results
To the frequency ratio of A service mobile terminals, the frequency ratio can be a simple average or with statistics
The concrete numerical value that principle obtains, for example, whole interval times between counting two neighboring result, afterwards will be all
After interval time is added divided by 39 obtain the frequency ratio of A service mobile terminals；Third party system is always according to each processing of acquisition
As a result the required time obtains the efficiency of A service mobile terminals, and the efficiency can be a simple average or fortune
The concrete numerical value obtained with Principle of Statistics, for example, statistics obtains the time needed for result, its concrete mode is exactly
Calculate A service mobile terminals and receive pending data to the time drawn needed for result, 40 results are corresponding
All Time be added again divided by 39 obtain the efficiency of A service mobile terminals.
In a preferred embodiment, as shown in fig. 6, the evaluation coefficient g is determined by following steps：
Step S301 is first carried out, the service mobile terminal produces some data flows during processing data.Tool
Body, in the application of reality, the mode of the service mobile terminal processing data have it is a variety of, such as by uploading text data
Mode processing data, in another example the processing data by way of determining garbled data, those skilled in the art can be in this base
Different changes is done on plinth, will not be described here.More specifically, exemplified by uploading text data, the service mobile terminal
The text data of upload processing data by way of multiple packets are transferred into third party system, the transmission of multiple packets
During i.e. produce some data flows；Exemplified by determining garbled data, third party system provides more to the service mobile terminal
Individual data are screened for the service mobile terminal, and the service mobile terminal often selects once then to produce a data flow, accordingly
Ground, the service mobile terminal produce some data flows during repeatedly selecting.
In a specific example, the diabetes that the service mobile terminal processing one family mobile terminal is sent are sick
Number of cases evidence, exemplified by uploading text data, the nosogenesis that the service mobile terminal introduces diabetes first produces one
Packet, the specific case load is then directed to again it is judged that the type of diabetes produces a packet again, then for the spy
Fixed case data provide diagnosis and treatment suggestion and produce a packet, then provide daily points for attention for the specific case data
A packet is produced, then sends comfort property sentence to family's mobile terminal and produces a packet, the packet exists
Data flow is generated in transmitting procedure.Change as one kind, exemplified by determining garbled data, third party system can be based on same class
As logical order a series of garbled data be provided screened for the service mobile terminal, correspondingly, the service is mobile whole
End determines that garbled data produces data flow every time.
Secondly step S302 is performed, third party system captures critical data from some data flows and is based on the pass
The quantity of key data determines the evaluation coefficient g.Specifically, exemplified by uploading text data, the process of critical data is captured i.e.
To capture the process of Anchor Text, the Anchor Text corresponding to the critical data from packet, the Anchor Text is appreciated that
For text information.More specifically, third party system pre-sets keyword, can contrast the keyword and the Anchor Text
The implication of corresponding text information, it is described if the implication of keyword text information corresponding with the Anchor Text is close
Critical data may determine that as positive data, if the keyword is different from the implication of text information corresponding to the Anchor Text,
Then the critical data may determine that as negative data, wherein, the third party system often grabs once the positive data
Then the evaluation coefficient g is adjusted and increased once, the third party system often grabs once the negative data then to the evaluation
Coefficient g is adjusted and reduced once, and specifically adjusting amplitude can be according to sets itself, it is preferable that is increased or is adjusted and reduced without view, every time adjustment
Amplitude be all identical.
Further, step S2017 is performed, is determined based on the 3rd function model corresponding to the service mobile terminal
The subjective parameters y.Specifically, with reference to the description in step S2031, with the product of the second specific data of A service mobile terminals
Tired, its corresponding second big data is also continually changing, and correspondingly, three variables g, h, j are corresponding to A service mobile terminals
Continually changing, third party system is when particular point in time calculates subjective parameters y corresponding to A service mobile terminals, according to the spy
Fix time a little corresponding to three variables g, h, j and the 3rd function model the subjective parameters y is calculated.
Further, it will be appreciated by those skilled in the art that acquisition correction coefficient δ, objective parameter x, master shown in Fig. 3 to Fig. 5
That sees parameter y has no sequencing, can be obtained, can also be obtained simultaneously with random order according to actual conditions, can also be according to
Secondary acquisition.
Further, on this basis, first function model conversation is equation below：Z=δ+f1(x, y)=δ+x × y=
δ+a × b × log (c × d)+g × h × j, evaluation of estimate z are quantification index corresponding to the service mobile terminal.Specifically, when need
When determining the evaluation of estimate of A service mobile terminals, the instantiation with reference to shown in Fig. 3 to Fig. 5, A service mobile terminals pair are obtained
Correction parameter δ, objective parameter x and the subjective parameters y answered, and the evaluation of A service mobile terminals is obtained according to the formula after conversion
Value.
Further, step S202 is performed, multiple service mobile terminals pair are obtained based on the first function model
The whole evaluation of estimate z answered, this step is similar with step S102, be will not be described here.
Further, step S203 is performed, based on whole institute's evaluation values z structures corresponding to multiple service mobile terminals
Normal distribution is built, it will be appreciated by those skilled in the art that normal distribution is also named in normal distribution, it is the one of continuous random variable probability distribution
Kind, it is different from unit according to the average of stochastic variable, the size of standard deviation and has different distributional patterns, specifically, just
State distribution is the theoretical foundation of many statistical methods, and in the present embodiment, institute evaluation values z is stochastic variable, in structure just
During state is distributed, then remaining evaluation of estimate z is arranged in by its basic principle to select a maximum evaluation of estimate z first
Maximum evaluation of estimate z both sides simultaneously ensure that the left and right sides is substantially symmetric, if whole institute evaluation values z can all be arranged in maximum
Evaluation of estimate z both sides, then choose whole institute evaluation values z structures normal distributions；Correspondingly, if in whole institute evaluation values z
A part is arranged in maximum evaluation of estimate z both sides, can also choose the part structure normal distribution in whole institute evaluation values z.
Further, step S204 is performed, the service corresponding to the institute evaluation values z of standardized normal distribution that will obey moves
Dynamic terminal is defined as the exclusive mobile terminal of the family.Specifically, according to statistical concepts, standardized normal distribution is normal distribution
One kind, its average and standard deviation are all fixed, average 0, standard deviation 1, and correspondingly, standard is from whole institutes accordingly
The institute evaluation values z of standardized normal distribution is obeyed in selection in evaluation values z.Preferably, obedience standard can be determined in this step
Multiple evaluation of estimate z of normal distribution, correspondingly, multiple evaluation of estimate z correspond to multiple service mobile terminals, multiple service movements
Multiple condition codes corresponding to it are sent to family's mobile terminal, family's mobile terminal actively selection wherein one by terminal
The individual service mobile terminal is as the exclusive mobile terminal of the family.
It is also based on as previous embodiment and a change case of embodiment, correction coefficient δ therein
Actual conditions are adjusted, specifically, the flow chart of the correcting mode for the correction coefficient δ that Fig. 7 is shown, including following step
Suddenly：
Step S401 is performed, the service mobile terminal sends fisrt feature data to third party system.Specifically, in reality
In the application on border, data interaction is carried out between the service mobile terminal and third party system, wherein, the fisrt feature data
Third party system can be sent to by the service mobile terminal in the case where meeting certain condition, it is preferable that when the service movement
When terminal reaches the position of family's mobile terminal, the service mobile terminal moves its device code and the family eventually
The position coordinates at end is sent to the third party system as fisrt feature data, and the third party system is by the fisrt feature
Data markers.
Further, on this basis, step S402 is performed, the third party system counts the service mobile terminal hair
Occurs the frequency of the fisrt feature data in the data sent.Specifically, the service mobile terminal is in prolonged operation
Substantial amounts of data constantly can be sent to the third party system, the third party system is according to the institute marked in step S401
State fisrt feature data and the number of the fisrt feature data occur from service mobile terminal extraction.It is if in fact, described
The number that service mobile terminal reaches family's mobile terminal locations is more, then the number of the fisrt feature data occurs then
It is bigger.
Further, on this basis, step S403 is performed, if there is institute in the data that the service mobile terminal is sent
The frequency for stating fisrt feature data exceedes first threshold, then adjusts and increase the correction coefficient δ, if what the service mobile terminal was sent
Occur the frequency of the fisrt feature data in data not less than the first threshold, then adjust and reduce the correction coefficient δ.This area
Technical staff understands, in the aforementioned embodiment, is determined according to the distance of the service mobile terminal and family's mobile terminal
The correction coefficient δ, during reality, although B service mobile terminals and family's mobile terminal is closer to the distance,
But B service mobile terminals rarely occur in the position of family's mobile terminal, although on the contrary, C service mobile terminals and
Family's mobile terminal it is distant, but C service mobile terminals frequently appear in the position of family's mobile terminal,
In order to more accurately determine the exclusive mobile terminal of the family, the correction coefficient δ is revised in this change case,
That is, the distance not only according to the service mobile terminal and family's mobile terminal determines the correction coefficient δ, always according to institute
State service mobile terminal and appear in correction coefficient δ described in the frequency amendment of family's mobile terminal locations.
The specific embodiment of the present invention is described above.It is to be appreciated that the invention is not limited in above-mentioned
Particular implementation, those skilled in the art can make various deformations or amendments within the scope of the claims, this not shadow
Ring the substantive content of the present invention.
Claims (10)
1. a kind of method that the exclusive mobile terminal of family is determined based on mobile terminal big data, it is used for mobile eventually from multiple services
The exclusive mobile terminal of family to match with family's mobile terminal is determined in end, it is characterised in that comprise the following steps：
A. z=δ+f are based on1(x, y)=δ+x × y structure first function models, wherein, δ is correction parameter, and x is third party system
The objective parameter that the first big data based on the service mobile terminal obtains, y are that third party system is based on the service movement
The subjective parameters that second big data of terminal obtains, z are the evaluation of estimate of the service mobile terminal；
B. whole evaluation of estimate z corresponding to multiple service mobile terminals are obtained based on the first function model；
C. the exclusive mobile terminal of the family is determined based on whole evaluation of estimate z corresponding to multiple service mobile terminals.
2. the method according to claim 1 for determining the exclusive mobile terminal of family, it is characterised in that the correction coefficient δ
It is inversely proportional with the distance of the service mobile terminal to family's mobile terminal, the step c comprises the following steps：
C1. whole institute evaluation values z corresponding to multiple service mobile terminals are contrasted, the institute evaluation values z of maximum is corresponding
The service mobile terminal be defined as the exclusive mobile terminal of the family.
3. the method according to claim 2 for determining the exclusive mobile terminal of family, it is characterised in that the correction coefficient δ
Obtain in the following manner：
Obtain the position coordinates of the service mobile terminal and the position coordinates of family's mobile terminal；
Calculate the distance of the position coordinates of the service mobile terminal and the position coordinates of family's mobile terminal；
The correction coefficient δ is determined based on the distance.
4. the method according to claim 1 for determining the exclusive mobile terminal of family, it is characterised in that the correction coefficient δ
Distance based on the service mobile terminal to family's mobile terminal obtains, and the step c comprises the following steps：
C2. based on whole institute evaluation values z structures normal distributions corresponding to multiple service mobile terminals；
C3. it is special that the service mobile terminal corresponding to the institute evaluation values z that standardized normal distribution will be obeyed is defined as the family
Belong to mobile terminal.
5. the method according to claim 4 for determining the exclusive mobile terminal of family, it is characterised in that in the step c3
In, if multiple institute evaluation values z obey standardized normal distribution, perform following steps：
C4. the condition code of the service mobile terminal corresponding to multiple institute evaluation values z of standardized normal distribution will be obeyed
It is sent to family's mobile terminal；
C5. the instruction based on family's mobile terminal determines the exclusive mobile terminal of the family.
6. the method for the exclusive mobile terminal of determination family according to any one of claim 1-5, it is characterised in that described
Objective parameter x is obtained in the following way；
Based on x=f2(a, b, c, d)=a × b × log (c × d) builds second function model, wherein, a is mobile eventually for the service
The frequency quantity of processing data is held, b is the success rate of the service mobile terminal processing data, and c is the service mobile terminal
The species number of processing data, d are the quantity for third party's mobile terminal that data interaction occurs with the service mobile terminal；
The objective parameter x corresponding to the service mobile terminal is determined based on the second function model.
7. the method according to claim 6 for determining the exclusive mobile terminal of family, it is characterised in that the subjective parameters y
Obtain in the following way；
Based on y=f3(g, h, j)=g × h × j builds the 3rd function model, wherein, g is that third party system moves to the service
The evaluation coefficient of terminal, h are the frequency ratio of the service mobile terminal processing data, and j is service mobile terminal processing
The efficiency of data；
The subjective parameters y corresponding to the service mobile terminal is determined based on the 3rd function model.
8. the method according to claim 7 for determining the exclusive mobile terminal of family, it is characterised in that the evaluation coefficient g
Determine in the following manner：
The service mobile terminal produces some data flows during processing data；
The third party system captures critical data from some data flows and the quantity based on the critical data determines
The evaluation coefficient g.
9. the method according to claim 8 for determining the exclusive mobile terminal of family, it is characterised in that the critical packet
Positive data and negative data are included, wherein, the third party system often grabs once the positive data then to the evaluation
Coefficient g, which is adjusted, to be increased once, and the third party system often grabs once the negative data and then adjusts and reduce one to the evaluation coefficient g
It is secondary.
10. the method according to any one of claim 1 to 9 for determining the exclusive mobile terminal of family, it is characterised in that institute
Correction parameter δ is stated also to be modified in the following manner：
The service mobile terminal sends fisrt feature data to third party system；
The third party system, which is counted in the data that the service mobile terminal is sent, there is the frequency of the fisrt feature data；
If the frequency for the fisrt feature data occur in the data that the service mobile terminal is sent exceedes first threshold, adjust
Increase the correction coefficient δ, if the frequency for the fisrt feature data occur in the data that the service mobile terminal is sent does not surpass
The first threshold is crossed, then adjusts and reduce the correction coefficient δ.
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