CN107909501A - The smell and correlating method of behavior, smell social contact method and device - Google Patents
The smell and correlating method of behavior, smell social contact method and device Download PDFInfo
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- 238000000034 method Methods 0.000 title claims abstract description 59
- 238000005314 correlation function Methods 0.000 claims abstract description 25
- 230000006399 behavior Effects 0.000 claims description 166
- 108090000623 proteins and genes Proteins 0.000 claims description 25
- 102000004169 proteins and genes Human genes 0.000 claims description 24
- 235000006694 eating habits Nutrition 0.000 claims description 12
- 230000003542 behavioural effect Effects 0.000 claims description 11
- 238000013507 mapping Methods 0.000 claims description 11
- 238000004590 computer program Methods 0.000 claims description 8
- 238000004458 analytical method Methods 0.000 claims description 5
- 238000004422 calculation algorithm Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 230000010354 integration Effects 0.000 abstract description 3
- 230000035943 smell Effects 0.000 description 96
- 238000010586 diagram Methods 0.000 description 14
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- 230000006870 function Effects 0.000 description 5
- 238000012986 modification Methods 0.000 description 5
- 230000004048 modification Effects 0.000 description 5
- 235000005911 diet Nutrition 0.000 description 4
- 230000037213 diet Effects 0.000 description 4
- 238000012512 characterization method Methods 0.000 description 3
- 208000035985 Body Odor Diseases 0.000 description 2
- 206010040904 Skin odour abnormal Diseases 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 2
- 238000007405 data analysis Methods 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 239000000796 flavoring agent Substances 0.000 description 2
- 235000019634 flavors Nutrition 0.000 description 2
- 241000894006 Bacteria Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000004071 biological effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000000354 decomposition reaction Methods 0.000 description 1
- 235000005686 eating Nutrition 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 235000013305 food Nutrition 0.000 description 1
- 239000004519 grease Substances 0.000 description 1
- 230000005764 inhibitory process Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 230000028327 secretion Effects 0.000 description 1
- 238000011524 similarity measure Methods 0.000 description 1
- 210000004243 sweat Anatomy 0.000 description 1
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Abstract
This specification embodiment provides a kind of smell and behavior correlating method, by the vaporprint information and behavior characteristic information that obtain user, and determine smell and the incidence relation of behavior by establishing the correlation function of the two, on this basis, it can facilitate in a large amount of smell samples, the similar crowd of behavior is retrieved, to realize that orienting social association provides optimized integration.
Description
Technical field
This specification embodiment is related to Internet technical field, more particularly to a kind of smell and the correlating method of behavior, gas
Taste social activity, smell personal identification method and device.
Background technology
In a networked society, the identity and life characteristic of user how are identified, be to realize accurately network social intercourse circle
Division and the premise of business promotion.
The content of the invention
This specification embodiment provides and a kind of smell and the correlating method of behavior, smell social contact method, the knowledge of smell identity
Other and device.
In a first aspect, this specification embodiment provides a kind of smell and the correlating method of behavior, including：Obtain the gas of user
Taste line information and the behavior characteristic information for obtaining user；Establish reflecting between the vaporprint information and the behavior characteristic information
Relation is penetrated, obtains the smell behavior correlation function of the user；According to the smell behavior correlation function, determine the user's
Smell and the incidence relation of behavior.
Second aspect, this specification embodiment provide a kind of smell social contact method, including：Obtain the gas of multiple targeted customers
Taste line information；According to the smell that learns in advance and the incidence relation of behavior, the vaporprint information of each targeted customer is determined
Corresponding behavior characteristic information；The selected targeted customer with same or like behavior characteristic information, by selected targeted customer
It is determined as orienting social user.
The third aspect, this specification embodiment provide a kind of smell personal identification method, including：Obtain user's to be identified
Vaporprint information；In the vaporprint identification model pre-established, the vaporprint information of the user to be identified is carried out
Matching；If successful match, the corresponding identity information of vaporprint information of the user to be identified is identified.
Fourth aspect, this specification embodiment provide a kind of smell and the associated apparatus of behavior, including：Smell obtains single
Member, for obtaining the vaporprint information of user；Behavior acquiring unit, for obtaining the behavior characteristic information of user；Map unit,
For establishing the mapping relations between the vaporprint information and the behavior characteristic information, the smell behavior of the user is obtained
Correlation function；Determination unit is associated, for according to the smell behavior correlation function, determining smell and the behavior of the user
Incidence relation.
5th aspect, this specification embodiment provide a kind of smell social device, including：Vaporprint acquiring unit, is used for
Obtain the vaporprint information of multiple targeted customers；Behavioural information determination unit, for according to the smell and behavior learnt in advance
Incidence relation, determine the corresponding behavior characteristic information of vaporprint information of each targeted customer；The social unit of orientation, is used for
The selected targeted customer with same or like behavior characteristic information, selected targeted customer is determined as orienting social user.
6th aspect, this specification embodiment provide a kind of smell identity recognition device, including：Vaporprint acquiring unit,
For obtaining the vaporprint information of user to be identified；Matching unit, in the vaporprint identification model pre-established,
The vaporprint information of the user to be identified is matched；Recognition unit, for identifying the smell of the user to be identified
The corresponding identity information of line information.
7th aspect, this specification embodiment provide a kind of server, including memory, processor and are stored in memory
Computer program that is upper and can running on a processor, the processor realize side described in any of the above-described when performing described program
The step of method.
Eighth aspect, this specification embodiment provide a kind of computer-readable recording medium, are stored thereon with computer journey
The step of sequence, which realizes any of the above-described the method when being executed by processor.
This specification embodiment has the beneficial effect that：
The embodiment of the present invention is by obtaining the vaporprint information and behavior characteristic information of user, and by establishing the pass of the two
Connection function determines smell and the incidence relation of behavior, on this basis, can facilitate in a large amount of smell samples, retrieve behavior class
As crowd, to realize that orienting social association provides optimized integration.Simultaneously as vaporprint can only table requisition family, therefore can
Can recognize that place's user identity by vaporprint information.
Brief description of the drawings
Fig. 1 is this specification embodiment application scenarios schematic diagram；
Fig. 2 realizes schematic diagram for this specification embodiment；
Fig. 3 is the smell that this specification embodiment first aspect provides and the correlating method flow chart of behavior；
Fig. 4 is the smell social contact method flow chart that this specification embodiment second aspect provides；
Fig. 5 is the smell personal identification method flow chart that this specification embodiment third aspect provides；
Fig. 6 is the smell that this specification embodiment fourth aspect provides and the associated apparatus structure diagram of behavior；
Fig. 7 is the smell social device structure diagram that the aspect of this specification embodiment the 5th provides；
Fig. 8 is the smell identity recognition device structure diagram that the aspect of this specification embodiment the 6th provides；
Fig. 9 is the server architecture schematic diagram that the aspect of this specification embodiment the 7th provides.
Embodiment
In order to better understand the above technical scheme, below by attached drawing and specific embodiment to this specification embodiment
Technical solution be described in detail, it should be understood that the specific features in this specification embodiment and embodiment are to this explanation
The detailed description of book embodiment technical solution, rather than the restriction to this specification technical solution, in the case where there is no conflict,
Technical characteristic in this specification embodiment and embodiment can be mutually combined.
Fig. 1 is referred to, is this specification embodiment application scenarios schematic diagram.Terminal 100 is located at user side, with network side
Server 200 communicates.Data obtaining module 101 in terminal 100 is used for the vaporprint information for obtaining user and user behavior is special
Reference ceases, and the information of acquisition is supplied to server 200；In server 200 smell analysis module 201 be used for associate smell and
Behavior, according to smell carry out identification, smell social activity etc..
Referring to Fig. 2, schematic diagram is realized for this specification embodiment.By gathering user's vaporprint information and user behavior
Characteristic information, it is exemplary in Fig. 2 to have shown that user behavior characteristic information includes diet information, habits and customs information, living environment letter
Breath；By establishing associating for vaporprint information and behavior characteristic information, user behavior preference data can be obtained, example in Fig. 2
Property shown that user behavior preference data includes preferred diet data, daily routines preference data, social preference data.In addition, by
In vaporprint can only table requisition family, therefore can recognize that place's user identity by vaporprint information.
In a first aspect, this specification embodiment provides a kind of smell and the correlating method of behavior, please refer to Fig.3, including step
Rapid S301-S303.
S301：Obtain the vaporprint information of user and obtain the behavior characteristic information of user.
Vaporprint information refers to a kind of distinguishing mark for immune protein that body odor carries, just as the face and fingerprint one of people
Sample is unique.Inherent as it can be seen that everyone has the vaporprint of uniqueness, and all one's life all without change, this
The main body of smell is constituted, will not be changed with other environment.
Obtaining the process of the vaporprint information of user can be：Collect the immune protein identification letter of user's body carrying
Breath；According to immune protein identification information, the vaporprint information of user is obtained.Specifically use can be collected by detection sensor
The immune protein identification information that family body carries；The immune protein identification information collected is handled again and (filters out edge
Data etc.) obtain the vaporprint information of characterization user's smell.
Except vaporprint, human body entirety smell is by ethnic group, gene, habits and customs, eating habit and climatic environment etc.
What many factors determined.As the influence of various external world's smells in life, and the secretion of the human body such as sweat, grease are being subject to
After the decomposition of bacterium, the smell given out can all be mixed with theme, so as to produce various smells.Therefore except obtaining
Take the behavior characteristic information that user is also obtained outside vaporprint information.
In order to establish associating for smell and behavior, it is also necessary to obtain the behavior characteristic information of user.Behavior characteristic information can
To understand being include being made of user biological and social factor or caused behavioral characteristic characterization information, including but not limited to user
Eating habit information, habits and customs information, living environment information etc..
Specifically, the behavior characteristic information of user can be obtained by following manner：Collect eating habit information, the life of user
Habits information and/or living environment information living；According to eating habit information, habits and customs information and/or living environment information, obtain
To behavior characteristic information.
For example, collect the eating habit information of user, can by questionnaire survey or based on modes such as big data analysis,
The eating habit of user is obtained, such as is collected into the diet that user A likes eating spicy flavor.Similarly, the life for collecting user is practised
Used information and living environment information, can also be obtained by questionnaire survey or based on modes such as big data analysis.
S302：The mapping relations between vaporprint information and behavior characteristic information are established, the smell behavior for obtaining user is closed
Join function.
Smell behavior correlation function is a superposition of multiple independent mapping relations, therefore can be drawn by modes such as modelings
Vaporprint and behavior characteristic information (including characteristic information of society and biological activity) mapping relations, you can obtain one than calibrated
True smell behavior correlation function.Period needs the input and interative computation by big data.For example, smell behavior correlation function
It is expressed as：Z=∑ f (i)；Wherein f (i) represents vaporprint information and behavior characteristic information；I is according to the number of the information that need to be superimposed
Value.
S303：According to smell behavior correlation function, the smell of user and the incidence relation of behavior are determined.
Due to the vaporprint information of user be it is unique, can by vaporprint information be user smell
ID；The behavior characteristic information of user similarly is abstracted as the behavior ID of user, and (behavior ID can be the key that represents user behavior
Word；Such as：" spicy ", " working from 9am to 5pm job family ", " body-building intelligent " etc.).By determining smell behavior correlation function, that is, establish
The incidence relation of vaporprint information and behavior characteristic information；Therefore associating for smell and behavior can be obtained on this basis
System.
As it can be seen that the embodiment of the present invention is by obtaining the vaporprint information and behavior characteristic information of user, and by establishing two
The correlation function of person determines smell and the incidence relation of behavior, on this basis, can facilitate in a large amount of smell samples, retrieve
The similar crowd of behavior, to realize that orienting social association provides optimized integration.Simultaneously as vaporprint can only table requisition family,
Therefore it can recognize that place's user identity by vaporprint information.
Second aspect, based on same inventive concept, this specification embodiment provides a kind of smell social contact method.Referring to Fig. 4,
The smell social contact method flow chart provided for this specification embodiment second aspect, including step S401-S403.
S401：Obtain the vaporprint information of multiple targeted customers.
Vaporprint information refers to a kind of distinguishing mark for immune protein that body odor carries, just as the face and fingerprint one of people
Sample is unique.Inherent as it can be seen that everyone has the vaporprint of uniqueness, and all one's life all without change, this
The main body of smell is constituted, will not be changed with other environment.
Obtaining the process of the vaporprint information of user can be：Collect the immune protein identification letter of user's body carrying
Breath；According to immune protein identification information, the vaporprint information of user is obtained.Specifically use can be collected by detection sensor
The immune protein identification information that family body carries；The immune protein identification information collected is handled again and (filters out edge
Data etc.) obtain the vaporprint information of characterization user's smell.
It is oriented social according to smell, it is necessary to obtain the gas of the social multiple targeted customers of pending orientation to realize
Taste line information.
S402：According to the smell that learns in advance and the incidence relation of behavior, the vaporprint of each targeted customer is determined
The corresponding behavior characteristic information of information.
Can by the odiferous information to numerous number of users and the acquisition of behavior characteristic information and analysis, learn to smell with
The incidence relation of behavior；Wherein it is determined that active user's smell and the process of behavior incidence relation can be：Gather active user's
Vaporprint information and the behavior characteristic information for obtaining active user；Establish the vaporprint information and behavioural characteristic of the active user
Mapping relations between information, obtain the smell behavior correlation function of the active user；According to the smell of the active user
Behavior correlation function, determines the smell of the active user and the incidence relation of behavior.
S403：The selected targeted customer with same or like behavior characteristic information, selected targeted customer is determined as
The social user of orientation.
Wherein, selecting the mode of the targeted customer with same or like behavior characteristic information can be：Calculated by clustering
Method clusters behavior characteristic information, so that the selected targeted customer with same or like behavior characteristic information.
For example, it is assumed that four targeted customers A, B, C, D are oriented with social analysis and control.If the behavior of user A
Characteristic information includes behavior -1, behavior -2, behavior -3；The behavior characteristic information of user B include behavior -1, behavior -2, behavior -3,
Behavior -4；The behavior characteristic information of user C includes behavior -6, behavior -7, behavior -8；The behavior characteristic information of user D includes row
For -5, behavior -9, behavior -10.Social activity then can be oriented by analyzing the similarity of the characteristic information between above-mentioned user
Division.Assuming that by similarity measure or cluster calculation, determine that user A with user B is the user with similar behavioral characteristic, because
This selected user A and user B is the social user of orientation.
In a kind of optional mode, after determining to orient social user, it can also establish between the social user of orientation
Contact.By establishing the contact oriented between social user, the social purpose of orientation is realized.For example, establishing, orientation is social to be used
Contact between family includes but not limited to：Any user oriented in social user is pushed to other in the social user of orientation
User's (good friend's push)；And/or establish social circle's (circle push) of the social user of orientation；And/or will be social with orientation
The business information that the behavior characteristic information of user is associated is pushed to the social user of orientation (such as to all liking determining for spicy diet
Restaurant or the food of spicy flavor are pushed to social user).
In a kind of optional mode, after the contact oriented between social user is established, society can also be oriented to establishing
Hand over the result of contact between user to be monitored, and according to monitored results to the member of the social user of orientation into Mobile state tune
It is whole.Example four targeted customers A, B, C, D still as the aforementioned, it is assumed that after by user A and user B push mutually, such as
Fruit is not received by user A, further according to fresh target user (assuming that new user E, F etc.) or can occur what behavioural characteristic changed
User's (assuming that user's C behavioural characteristics change into similar to user A) finds new orientation social activity user for user A.
As it can be seen that by smell social contact method, on smell and behavior association base is established, than more conveniently in a large amount of gas
In taste sample, the similar crowd of behavior is retrieved, so as to fulfill the social association of orientation.
The third aspect, based on same inventive concept, this specification embodiment provides a kind of smell personal identification method, please join
Examine Fig. 5, including step S501-S503.
S501：Obtain the vaporprint information of user to be identified；
S502：In the vaporprint identification model pre-established, the vaporprint information progress to user to be identified
Match somebody with somebody.
S503：If successful match, the corresponding identity information of vaporprint information of user to be identified is identified.
In a kind of optional mode, further include：
S504：If it fails to match, judge whether the user to be identified has typing authority；
S505：If the user to be identified has typing authority, by the vaporprint information and body of the user to be identified
Part information learning is into the vaporprint identification model.
In a kind of optional mode, further include：By learning the vaporprint information and identity information of numerous number of users, build
It is vertical to obtain the vaporprint identification model；Wherein：The vaporprint information and identity information for learning active user include：Collection
The immune protein identification information of active user's body carrying is obtained, the vaporprint is obtained according to the immune protein identification information
Information；Obtain the identity information of active user；Establish the vaporprint information of active user and the correspondence of identity information.
As it can be seen that due to vaporprint information can one specific user of unique identification therefore by be in advance based on vaporprint information with
The smell identification model of the correspondence of identity information can go out subscriber identity information by odor identification.This is in current biology
Brand-new field in feature recognition (fingerprint recognition, recognition of face, iris recognition), can be widely used in safety check, monitoring,
The occasions such as gate inhibition.
Fourth aspect, based on same inventive concept, this specification embodiment provides a kind of smell and the associated apparatus of behavior,
Fig. 6 is refer to, which includes：
Smell acquiring unit 601, for obtaining the vaporprint information of user；
Behavior acquiring unit 602, for obtaining the behavior characteristic information of user；
Map unit 603, for establishing the mapping relations between the vaporprint information and the behavior characteristic information, obtains
To the smell behavior correlation function of the user；
Determination unit 604 is associated, for according to the smell behavior correlation function, determining smell and the behavior of the user
Incidence relation.
In a kind of optional mode, the smell acquiring unit 601 includes：
Subelement 6011 is gathered, for collecting the immune protein identification information of user's body carrying；
Vaporprint obtains subelement 6012, for according to the immune protein identification information, obtaining the vaporprint letter of user
Breath.
In a kind of optional mode, the behavior acquiring unit 602 includes：
Information collects subelement 6021, for collecting the eating habit information, habits and customs information and/or life cycle of user
Border information；
Behavioural characteristic determination subelement 6022, for according to the eating habit information, habits and customs information and/or life
Environmental information, obtains the behavior characteristic information.
5th aspect, based on same inventive concept, this specification embodiment provides a kind of smell social device device, please join
Fig. 7 is examined, which includes：
Vaporprint acquiring unit 701, for obtaining the vaporprint information of multiple targeted customers；
Behavioural information determination unit 702, for according to the smell and the incidence relation of behavior learnt in advance, determining each
The corresponding behavior characteristic information of vaporprint information of a targeted customer；
The social unit 703 of orientation, for the selected targeted customer with same or like behavior characteristic information, by what is selected
Targeted customer is determined as orienting social user.
In a kind of optional mode, which further includes：
Unit 704, for by the odiferous information to numerous number of users and the acquisition of behavior characteristic information and point
Analysis, study to smell and behavior incidence relation；Wherein,
The unit 704 determines that active user's smell and the process of the incidence relation of behavior include：Collection is current to be used
The vaporprint information at family simultaneously obtains the behavior characteristic information of active user；Establish vaporprint information and the behavior of the active user
Mapping relations between characteristic information, obtain the smell behavior correlation function of the active user；According to the active user's
Smell behavior correlation function, determines the smell of the active user and the incidence relation of behavior.
In a kind of optional mode, the social unit 703 of orientation is specifically used for：Behavioural characteristic is believed by clustering algorithm
Breath is clustered, so that the selected targeted customer with same or like behavior characteristic information.
In a kind of optional mode, which further includes：
Orientation social connections establish unit 705, for establishing the contact oriented between social user；The social connection of orientation
System establishes unit 705 and is specifically used for：Any user oriented in social user is pushed to other use in the social user of orientation
Family；And/or establish the social circle of the social user of orientation；And/or will be related to the behavior characteristic information of the social user of orientation
The business information of connection is pushed to the social user of the orientation.
In a kind of optional mode, which further includes：Monitoring unit 706 is oriented, for establishing orientation social activity to described
The result of contact between user is monitored；Orient adjustment unit 707, for according to monitored results to the social user's of orientation
Member adjusts into Mobile state.
6th aspect, based on same inventive concept, this specification embodiment provides a kind of smell identity recognition device, please join
Fig. 8 is examined, which includes：
Vaporprint acquiring unit 801, for obtaining the vaporprint information of user to be identified；
Matching unit 802, in the vaporprint identification model pre-established, to the gas of the user to be identified
Taste line information is matched；
Recognition unit 803, for identifying the corresponding identity information of vaporprint information of the user to be identified.
In a kind of optional mode, which further includes：
Typing unit 804, for when it fails to match, judging whether the user to be identified has typing authority；If institute
Stating user to be identified has typing authority, then learns the vaporprint information of the user to be identified and identity information to the gas
Taste is tatooed in part identification model.
In a kind of optional mode, further include：
Model foundation unit 805, for the vaporprint information and identity information by learning numerous number of users, is established
To the vaporprint identification model；Wherein：Learning the vaporprint information of active user and the process of identity information includes：Adopt
Collection obtains the immune protein identification information of active user's body carrying, and the smell is obtained according to the immune protein identification information
Line information；Obtain the identity information of active user；Establish the vaporprint information of active user and the correspondence of identity information.
7th aspect, based on knowing with smell in previous embodiment and behavior correlating method, smell social contact method, smell identity
The same inventive concept of other method, the present invention also provides a kind of server, as shown in figure 9, including memory 904, processor 902
And the computer program that can be run on memory 904 and on processor 902 is stored in, the processor 902 performs the journey
The either method of smell described previously and behavior correlating method, smell social contact method, smell personal identification method is realized during sequence
Step.
Wherein, in fig.9, bus architecture (being represented with bus 900), bus 900 can include any number of interconnection
Bus and bridge, bus 900 deposited what the one or more processors including being represented by processor 902 and memory 904 represented
The various circuits of reservoir link together.Bus 900 can also will ancillary equipment, voltage-stablizer and management circuit etc. it
Various other circuits of class link together, these are all it is known in the art, therefore, no longer being carried out further to it herein
Description.Bus interface 906 provides interface between bus 900 and receiver 901 and transmitter 903.Receiver 901 and transmitter
903 can be same element, i.e. transceiver, there is provided for the unit to communicate over a transmission medium with various other devices.Place
Reason device 902 is responsible for bus 900 and common processing, and memory 904 can be used for storage processor 902 and perform behaviour
Used data when making.
Eighth aspect, based on knowing with smell in previous embodiment and behavior correlating method, smell social contact method, smell identity
The inventive concept of other method, the present invention also provides a kind of computer-readable recording medium, is stored thereon with computer program, the journey
Smell described previously and behavior correlating method, smell social contact method, smell personal identification method are realized when sequence is executed by processor
Either method the step of.
This specification is with reference to the method, equipment (system) and computer program product according to this specification embodiment
Flowchart and/or the block diagram describes.It should be understood that it can be realized by computer program instructions every in flowchart and/or the block diagram
The combination of flow and/or square frame in one flow and/or square frame and flowchart and/or the block diagram.These computers can be provided
Processor of the programmed instruction to all-purpose computer, special purpose computer, Embedded Processor or other programmable data processing devices
To produce a machine so that the instruction performed by computer or the processor of other programmable data processing devices produces use
In setting for the function that realization is specified in one flow of flow chart or multiple flows and/or one square frame of block diagram or multiple square frames
It is standby.
These computer program instructions, which may also be stored in, can guide computer or other programmable data processing devices with spy
Determine in the computer-readable memory that mode works so that the instruction being stored in the computer-readable memory, which produces, to be included referring to
Make the manufacture of equipment, the commander equipment realize in one flow of flow chart or multiple flows and/or one square frame of block diagram or
The function of being specified in multiple square frames.
These computer program instructions can be also loaded into computer or other programmable data processing devices so that counted
Series of operation steps is performed on calculation machine or other programmable devices to produce computer implemented processing, thus in computer or
The instruction performed on other programmable devices is provided and is used for realization in one flow of flow chart or multiple flows and/or block diagram one
The step of function of being specified in a square frame or multiple square frames.
Although having been described for the preferred embodiment of this specification, those skilled in the art once know basic wound
The property made concept, then can make these embodiments other change and modification.So appended claims are intended to be construed to include
Preferred embodiment and all change and modification for falling into this specification scope.
Obviously, those skilled in the art can carry out this specification various modification and variations without departing from this specification
Spirit and scope.In this way, if these modifications and variations of this specification belong to this specification claim and its equivalent skill
Within the scope of art, then this specification is also intended to comprising including these modification and variations.
Claims (24)
1. a kind of smell and the correlating method of behavior, including：
Obtain the vaporprint information of user and obtain the behavior characteristic information of user；
The mapping relations between the vaporprint information and the behavior characteristic information are established, obtain the smell behavior of the user
Correlation function；
According to the smell behavior correlation function, the smell of the user and the incidence relation of behavior are determined.
2. according to the method described in claim 1, the vaporprint information for obtaining user includes：
Collect the immune protein identification information of user's body carrying；
According to the immune protein identification information, the vaporprint information of user is obtained.
3. according to the method described in claim 1, the behavior characteristic information for obtaining user includes：
Collect eating habit information, habits and customs information and/or the living environment information of user；
According to the eating habit information, habits and customs information and/or living environment information, the behavior characteristic information is obtained.
4. a kind of smell social contact method, including：
Obtain the vaporprint information of multiple targeted customers；
According to the smell and the incidence relation of behavior learnt in advance, determine that the vaporprint information of each targeted customer is corresponding
Behavior characteristic information；
The selected targeted customer with same or like behavior characteristic information, selected targeted customer is determined as orienting social use
Family.
5. according to the method described in claim 4, obtaining by the odiferous information to numerous number of users and behavior characteristic information
Take and analyze, the incidence relation of study to smell and behavior；Wherein,
Determine that active user's smell and the process of behavior incidence relation include：Gather the vaporprint information of active user and obtain and work as
The behavior characteristic information of preceding user；The mapping established between the vaporprint information of the active user and behavior characteristic information is closed
System, obtains the smell behavior correlation function of the active user；According to the smell behavior correlation function of the active user, determine
The smell of the active user and the incidence relation of behavior.
6. according to the method described in claim 4, the selected targeted customer with same or like behavior characteristic information wraps
Include：
Behavior characteristic information is clustered by clustering algorithm, so that the selected mesh with same or like behavior characteristic information
Mark user.
7. according to claim 4-6 any one of them methods, after determining to orient social user, further include：It is fixed to establish
Contact between social user；
The contact established between the social user of orientation includes：
Any user oriented in social user is pushed to the other users in the social user of orientation；And/or establish orientation society
Hand over the social circle of user；And/or the business information associated with the behavior characteristic information of the social user of orientation is pushed to institute
State the social user of orientation.
8. according to the method described in claim 7, after the contact established and oriented between social user, further include：
The result of the contact established between the social user of orientation is monitored；
The member of the social user of orientation is adjusted into Mobile state according to monitored results.
9. a kind of smell personal identification method, including：
Obtain the vaporprint information of user to be identified；
In the vaporprint identification model pre-established, the vaporprint information of the user to be identified is matched；
If successful match, the corresponding identity information of vaporprint information of the user to be identified is identified.
10. according to the method described in claim 9, further include：
If it fails to match, judge whether the user to be identified has typing authority；
If the user to be identified has typing authority, the vaporprint information of the user to be identified and identity information are learnt
Into the vaporprint identification model.
11. the method according to claim 9 or 10, further includes：By learn numerous number of users vaporprint information and
Identity information, foundation obtain the vaporprint identification model；Wherein：
The vaporprint information and identity information for learning active user include：Collect the immune protein of active user's body carrying
Identification information, the vaporprint information is obtained according to the immune protein identification information；Obtain the identity information of active user；Build
The vaporprint information of vertical active user and the correspondence of identity information.
12. a kind of smell and the associated apparatus of behavior, including：
Smell acquiring unit, for obtaining the vaporprint information of user；
Behavior acquiring unit, for obtaining the behavior characteristic information of user；
Map unit, for establishing the mapping relations between the vaporprint information and the behavior characteristic information, obtains described
The smell behavior correlation function of user；
Determination unit is associated, for according to the smell behavior correlation function, determining the smell of the user and associating for behavior
Relation.
13. device according to claim 12, the smell acquiring unit includes：
Subelement is gathered, for collecting the immune protein identification information of user's body carrying；
Vaporprint obtains subelement, for according to the immune protein identification information, obtaining the vaporprint information of user.
14. device according to claim 12, the behavior acquiring unit includes：
Information collects subelement, for collecting the eating habit information, habits and customs information and/or living environment information of user；
Behavioural characteristic determination subelement, for being believed according to the eating habit information, habits and customs information and/or living environment
Breath, obtains the behavior characteristic information.
15. a kind of smell social device, including：
Vaporprint acquiring unit, for obtaining the vaporprint information of multiple targeted customers；
Behavioural information determination unit, for according to the smell and the incidence relation of behavior learnt in advance, determining each target
The corresponding behavior characteristic information of vaporprint information of user；
The social unit of orientation, for the selected targeted customer with same or like behavior characteristic information, selected target is used
Family is determined as orienting social user.
16. device according to claim 15, further includes：Unit, for passing through the smell to numerous number of users
The acquisition and analysis of information and behavior characteristic information, study to smell and behavior incidence relation；Wherein, the unit determines
The process of active user's smell and the incidence relation of behavior includes：Gather the vaporprint information of active user and obtain active user
Behavior characteristic information；The mapping relations between the vaporprint information of the active user and behavior characteristic information are established, are obtained
The smell behavior correlation function of the active user；According to the smell behavior correlation function of the active user, described work as is determined
The smell of preceding user and the incidence relation of behavior.
17. device according to claim 15, the social unit of orientation is specifically used for：It is special to behavior by clustering algorithm
Reference breath is clustered, so that the selected targeted customer with same or like behavior characteristic information.
18. according to claim 15-17 any one of them devices, further include：Orientation social connections establish unit, for establishing
Contact between the social user of orientation；The orientation social connections are established unit and are specifically used for：Appointing in social user will be oriented
One user is pushed to the other users in the social user of orientation；And/or establish the social circle of the social user of orientation；And/or
The business information associated with the behavior characteristic information of the social user of orientation is pushed to the social user of the orientation.
19. device according to claim 18, further includes：
Monitoring unit is oriented, for being monitored to the result of the contact established between the social user of orientation；
Adjustment unit is oriented, for being adjusted according to monitored results to the member of the social user of orientation into Mobile state.
20. a kind of smell identity recognition device, including：
Vaporprint acquiring unit, for obtaining the vaporprint information of user to be identified；
Matching unit, in the vaporprint identification model pre-established, believing the vaporprint of the user to be identified
Breath is matched；
Recognition unit, for identifying the corresponding identity information of vaporprint information of the user to be identified.
21. device according to claim 20, further includes：
Typing unit, for when it fails to match, judging whether the user to be identified has typing authority；It is if described to be identified
User has typing authority, then learns the vaporprint information of the user to be identified and identity information to the vaporprint identity
In identification model.
22. the device according to claim 20 or 21, further includes：
Model foundation unit, for the vaporprint information and identity information by learning numerous number of users, foundation obtains described
Vaporprint identification model；Wherein：Learning the vaporprint information of active user and the process of identity information includes：Collect
The immune protein identification information that active user's body carries, obtains the vaporprint according to the immune protein identification information and believes
Breath；Obtain the identity information of active user；Establish the vaporprint information of active user and the correspondence of identity information.
23. a kind of server, including memory, processor and storage are on a memory and the computer that can run on a processor
The step of program, the processor realizes any one of claim 1-11 the method when performing described program.
24. a kind of computer-readable recording medium, is stored thereon with computer program, power is realized when which is executed by processor
Profit requires the step of any one of 1-11 the methods.
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| CN201711270317.7A CN107909501B (en) | 2017-12-05 | 2017-12-05 | Smell and behavior association method, smell social method and device |
| TW107134752A TWI684885B (en) | 2017-12-05 | 2018-10-02 | Correlation method of odor and behavior, odor social method and device |
| PCT/CN2018/110753 WO2019109740A1 (en) | 2017-12-05 | 2018-10-18 | Method for associating smell with behavior, and smell-based social method and apparatus |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019109740A1 (en) * | 2017-12-05 | 2019-06-13 | 阿里巴巴集团控股有限公司 | Method for associating smell with behavior, and smell-based social method and apparatus |
| CN111401129A (en) * | 2020-02-10 | 2020-07-10 | 吉利汽车研究院（宁波）有限公司 | Intelligent smell recognition system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103530546A (en) * | 2013-10-25 | 2014-01-22 | 东北大学 | Identity authentication method based on mouse behaviors of user |
| CN104850647A (en) * | 2015-05-28 | 2015-08-19 | 国家计算机网络与信息安全管理中心 | Microblog group discovering method and microblog group discovering device |
| WO2016066883A1 (en) * | 2014-10-31 | 2016-05-06 | Nokia Technologies Oy | Apparatus and method for dealing with ambient smell |
| CN106777382A (en) * | 2017-02-13 | 2017-05-31 | 北京奇虎科技有限公司 | Social friends recommend method, device and server |
| CN107421557A (en) * | 2017-07-21 | 2017-12-01 | 深圳天珑无线科技有限公司 | Determination method, intelligent terminal and the device with store function on navigation purpose ground |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| PE20071101A1 (en) * | 2005-08-31 | 2007-12-21 | Amgen Inc | POLYPEPTIDES AND ANTIBODIES |
| US20080055049A1 (en) * | 2006-07-28 | 2008-03-06 | Weill Lawrence R | Searching methods |
| GB0600488D0 (en) * | 2006-01-11 | 2006-02-22 | Glaxo Group Ltd | Immunoglobulins |
| EP2149380A1 (en) * | 2008-07-29 | 2010-02-03 | Medivet Pharma, S.L. | Veterinary immunotherapy compositions for the Aged Related Cognitive Dysfunction. |
| CN106570082B (en) * | 2016-10-19 | 2019-11-05 | 浙江工业大学 | A kind of friends method for digging of combination network topology characteristic and user behavior characteristics |
| CN107909501B (en) * | 2017-12-05 | 2020-12-01 | 创新先进技术有限公司 | Smell and behavior association method, smell social method and device |
-
2017
- 2017-12-05 CN CN201711270317.7A patent/CN107909501B/en active Active
-
2018
- 2018-10-02 TW TW107134752A patent/TWI684885B/en active
- 2018-10-18 WO PCT/CN2018/110753 patent/WO2019109740A1/en active Application Filing
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103530546A (en) * | 2013-10-25 | 2014-01-22 | 东北大学 | Identity authentication method based on mouse behaviors of user |
| WO2016066883A1 (en) * | 2014-10-31 | 2016-05-06 | Nokia Technologies Oy | Apparatus and method for dealing with ambient smell |
| CN104850647A (en) * | 2015-05-28 | 2015-08-19 | 国家计算机网络与信息安全管理中心 | Microblog group discovering method and microblog group discovering device |
| CN106777382A (en) * | 2017-02-13 | 2017-05-31 | 北京奇虎科技有限公司 | Social friends recommend method, device and server |
| CN107421557A (en) * | 2017-07-21 | 2017-12-01 | 深圳天珑无线科技有限公司 | Determination method, intelligent terminal and the device with store function on navigation purpose ground |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019109740A1 (en) * | 2017-12-05 | 2019-06-13 | 阿里巴巴集团控股有限公司 | Method for associating smell with behavior, and smell-based social method and apparatus |
| CN111401129A (en) * | 2020-02-10 | 2020-07-10 | 吉利汽车研究院（宁波）有限公司 | Intelligent smell recognition system |
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| CN107909501B (en) | 2020-12-01 |
| WO2019109740A1 (en) | 2019-06-13 |
| TWI684885B (en) | 2020-02-11 |
| TW201928739A (en) | 2019-07-16 |
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