CN107656963A - Vehicle owner identification method and device, computer equipment and computer-readable recording medium - Google Patents
Vehicle owner identification method and device, computer equipment and computer-readable recording medium Download PDFInfo
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Abstract
The present invention provides a kind of vehicle owner identification method and device, computer equipment and computer-readable recording medium.Its method includes：From network log, the characteristic parameter of user to be identified is obtained, characteristic parameter comprises at least search characteristics parameter of the user to be identified in preset time period；Using the vehicle owner identification device of training in advance, according to the characteristic parameter of user to be identified, whether the identity for identifying user to be identified is car owner.Technical scheme, the deficiencies in the prior art can be made up, without the participation of user, it is based only upon the network log of internet, just the user of car owner's identity can be accurately and efficiently identified, and then the popularization of the market business after automobile can more targetedly be carried out according to the car owner of identification.
Description
【Technical field】
The present invention relates to Computer Applied Technology field, more particularly to a kind of vehicle owner identification method and device, calculating
Machine equipment and computer-readable recording medium.
【Background technology】
With the increase of car ownership, important composition portion of the market as the automobile industry of the pillars of the national economy after automobile
Point, the status in economic development becomes more and more important, and its service enterprise and trade company are numerous, prosperous for the marketing demand in market after car
Contain.How a large amount of car owner clients are fast and effectively obtained, turn into the active demand of market service enterprise and trade company after automobile.
Market service enterprise needs to obtain car owner client after automobile, can just carry out substantial amounts of popularization activity and advertisement and throw
Put.In the prior art, only the car can be determined in the information of the related Companies Registry in 4S shops or other automobiles by car owner
Main identity, and obtain the information of the car owner.I.e. in the prior art, only the interaction of user can be passively waited to identify
Go out car owner, and can not actively excavate potential car owner, carry out the dispensing of event promotion and advertisement.
With the development of mobile Internet in recent years, the network access of user is more and more, therefore, needs badly and provides a kind of energy
Enough from numerous access users of internet, excavate and identify the user of car owner's identity, lack car in the prior art to make up
The excavation scheme of owner identification.
【The content of the invention】
The invention provides a kind of vehicle owner identification method and device, computer equipment and computer-readable recording medium, for providing
It is a kind of to excavate from numerous access users of internet and identify the user of car owner's identity.
The present invention provides a kind of vehicle owner identification method, and methods described includes：
From network log, the characteristic parameter of user to be identified is obtained, the characteristic parameter comprises at least described to be identified
Search characteristics parameter of the user in preset time period；
Using the vehicle owner identification device of training in advance, according to the characteristic parameter of the user to be identified, treated described in identification
Whether the identity for identifying user is car owner.
Still optionally further, in method as described above, the network log is search behavior daily record, then described from network
In daily record, the characteristic parameter of user to be identified is obtained, is specifically included：
From the search behavior daily record, multiple search of the user to be identified in the preset time period are obtained
Keyword；
According to several preset themes, first theme of the multiple search key in several preset themes is obtained
Distribution and expression；
From the search behavior daily record, the user to be identified is obtained in search corresponding to the multiple search key
As a result the URL of middle click quantity；
According to several preset themes, the of the URL that the user to be identified clicks in the search result is obtained
Two theme distributions are expressed；
Further, using the vehicle owner identification device of training in advance, according to the characteristic parameter of the user to be identified, know
Whether the identity of not described user to be identified is car owner, is specifically included：
Using the vehicle owner identification device, searched according to the user to be identified in the preset time period
Rope characteristic parameter, whether the identity for identifying the user to be identified is car owner.
Still optionally further, in method as described above, from network log, the characteristic parameter of user to be identified is obtained,
Also include：
From the network log, the base attribute parameter of the user to be identified is obtained；
Further, from the network log, the base attribute parameter of the user to be identified is obtained, is specifically included：
From the network log, sex, age, occupation, marital status and the fertility of the user to be identified are obtained
State；
According to sex, marital status and the fertility status of the user to be identified, the user to be identified is obtained respectively
Sex Expression, nuptiality table reaches and fertility table reaches；
The corresponding relation reached according to the age of the user to be identified and default age stepping with chronological table, is obtained
The chronological table of the user to be identified reaches；
According to the professional and several default occupation of the user to be identified, the occupation expression of the user to be identified is obtained；
Further, using the vehicle owner identification device of training in advance, according to the characteristic parameter of the user to be identified, know
Whether the identity of not described user to be identified is car owner, is specifically included：
Using the vehicle owner identification device, according to the search characteristics parameter of the user to be identified and described basic
Property parameters, whether the identity for identifying the user to be identified is car owner.
Still optionally further, in method as described above, using the vehicle owner identification device of training in advance, treated according to described
The characteristic parameter of user is identified, before whether the identity for identifying the user to be identified is car owner, in addition to：
From the network log, the training characteristics parameter of the user of several known identities is gathered；The known identities
User is car owner's identity or non-car owner's identity；The training characteristics parameter comprises at least the user of the known identities described
The training search characteristics parameter of preset time period；
Using the training characteristics parameter of the user of each known identities, the vehicle owner identification device is trained.
Still optionally further, in method as described above, the training characteristics parameter of the user of several known identities is gathered, also
Including：
Gather the training base attribute parameter of the user of several known identities；
Further, using each known identities user the training characteristics parameter, train car owner's identity
Identifier, specifically include：
The training search characteristics parameter and the training base attribute parameter using the user of each known identities,
Train the vehicle owner identification device.
The present invention provides a kind of vehicle owner identification device, and described device includes：
Acquisition module, for from network log, obtaining the characteristic parameter of user to be identified, the characteristic parameter at least wraps
Include search characteristics parameter of the user to be identified in preset time period；
Identification module, for the vehicle owner identification device using training in advance, joined according to the feature of the user to be identified
Number, whether the identity for identifying the user to be identified is car owner.
Still optionally further, the acquisition module, it is search specifically for the network log in device as described above
During user behaviors log, from the search behavior daily record, it is multiple in the preset time period to obtain the user to be identified
Search key；
According to several preset themes, first theme of the multiple search key in several preset themes is obtained
Distribution and expression；
From the search behavior daily record, the user to be identified is obtained in search corresponding to the multiple search key
As a result the URL of middle click quantity；
According to several preset themes, the of the URL that the user to be identified clicks in the search result is obtained
Two theme distributions are expressed；
Further, the identification module, specifically for utilizing the vehicle owner identification device, according to the use to be identified
The search characteristics parameter of the family in the preset time period, whether the identity for identifying the user to be identified is car owner.
Still optionally further, in device as described above, the acquisition module, it is additionally operable to from the network log, obtains
Take the base attribute parameter of the user to be identified；
Further, the acquisition module, is specifically used for：
From the network log, sex, age, occupation, marital status and the fertility of the user to be identified are obtained
State；
According to sex, marital status and the fertility status of the user to be identified, the user to be identified is obtained respectively
Sex Expression, nuptiality table reaches and fertility table reaches；
The corresponding relation reached according to the age of the user to be identified and default age stepping with chronological table, is obtained
The chronological table of the user to be identified reaches；
According to the professional and several default occupation of the user to be identified, the occupation expression of the user to be identified is obtained；
Further, the identification module, is specifically used for：
Using the vehicle owner identification device, according to the search characteristics parameter of the user to be identified and described basic
Property parameters, whether the identity for identifying the user to be identified is car owner.
Still optionally further, in device as described above, described device also includes：
Acquisition module, the training characteristics parameter of the user for from the network log, gathering several known identities；Institute
The user for stating known identities is car owner's identity or non-car owner's identity；The training characteristics parameter comprises at least the known identities
User the preset time period training search characteristics parameter；
Training module, for the training characteristics parameter of the user using each known identities, train the car owner
Identity recognizer.
Still optionally further, in device as described above, the acquisition module, it is additionally operable to gather several known identities
User training base attribute parameter；
Further, the training module, the training specifically for the user using each known identities are searched for
Characteristic parameter and the training base attribute parameter, train the vehicle owner identification device.
The present invention also provides a kind of computer equipment, and the equipment includes：
One or more processors；
Memory, for storing one or more programs,
When one or more of programs are by one or more of computing devices so that one or more of processing
Device realizes vehicle owner identification method as described above.
The present invention also provides a kind of computer-readable medium, is stored thereon with computer program, the program is held by processor
Vehicle owner identification method as described above is realized during row.
Vehicle owner identification method and device, computer equipment and the computer-readable recording medium of the present invention, by from network log,
The characteristic parameter of user to be identified is obtained, characteristic parameter comprises at least search characteristics of the user to be identified in preset time period
Parameter；Using the vehicle owner identification device of training in advance, according to the characteristic parameter of user to be identified, the body of user to be identified is identified
Whether part is car owner.Technical scheme, the deficiencies in the prior art can be made up, without the participation of user, be based only upon mutually
The network log of networking, just can accurately and efficiently identify the user of car owner's identity, and then can be according to the car owner of identification, more
Added with the popularization of the market business after pointedly progress automobile.
【Brief description of the drawings】
Fig. 1 is the flow chart of the vehicle owner identification embodiment of the method one of the present invention.
Fig. 2 is the flow chart of the vehicle owner identification embodiment of the method two of the present invention.
Fig. 3 is the structure chart of the vehicle owner identification device embodiment one of the present invention.
Fig. 4 is the structure chart of the vehicle owner identification device embodiment two of the present invention.
Fig. 5 is the structure chart of the computer equipment embodiment of the present invention.
Fig. 6 is a kind of exemplary plot of computer equipment provided by the invention.
【Embodiment】
In order that the object, technical solutions and advantages of the present invention are clearer, below in conjunction with the accompanying drawings with specific embodiment pair
The present invention is described in detail.
Fig. 1 is the flow chart of the vehicle owner identification embodiment of the method one of the present invention.As shown in figure 1, the car of the present embodiment
Owner identification recognition methods, specifically may include steps of：
100th, from network log, the characteristic parameter of user to be identified is obtained, characteristic parameter comprises at least user to be identified
Search characteristics parameter in preset time period；
The executive agent of the vehicle owner identification method of the present embodiment is vehicle owner identification device, the vehicle owner identification
Device is the entity of an electronic installation class, or can be integrated using computer software.
Because in recent years, the fast development of mobile Internet, almost all of car owner user can use mobile Internet
Carry out various network access, for example, purchase automobile before, can with the parameter and performance of the various automobiles of search inquiry on network,
Or can be to inquire about the loan for purchasing car policy of each bank on network；Before vehicle insurance is bought for love car, network can be passed through
Insurance kind and the protection amount of every kind of insurance kind and the amount of payment that upper search vehicle insurance includes etc.；When vehicle breaks down, lead to
Cross web search fault solution；Before Motor Maintenance, web search Motor Maintenance points for attention can also be passed through；Drive
Before love car is gone on a tour, information of various self-driving travels, etc. can also be searched on network.Certain non-car owner user can also meet
During to various doubt, the answer that is solved the problems, such as by web search to obtain.Therefore, in existing network log, can include
The extremely data of the big order of magnitude, which includes the data of car owner user and the data of non-car owner user.And profit
With the correlation of pieces of data, the data that same user is belonged in network log can be merged.Such as can be by network log
In with identical phone number, identical mailbox or identical ID card No. etc. be used for unique mark with identical
The data of the ID of one user user merge, the data as same user.The network log of the present embodiment can include
Search behavior daily record, map user behaviors log and the login user behaviors log monitored by various shopping websites and buying behavior daily record
Etc. various actions daily record.Various actions daily record with individualism, can also can together be combined into the network log of an entirety.This
In embodiment, i.e., using the data of each user recorded in network log, excavate and identify user corresponding to car owner's identity, from
And the information such as telephone number or mailbox etc. of car owner corresponding to can further obtaining, so as to more targetedly carry out vapour
The popularization of the market business after car.
In the present embodiment, the characteristic parameter for the user to be identified for not determining identity from network log, can be obtained, such as
The characteristic parameter of the user to be identified of the present embodiment comprises at least search characteristics ginseng of the user to be identified in preset time period
Number.Now accordingly, the network log in step 100 is specifically as follows search behavior daily record, and step 100 is specifically as follows from searching
In rope user behaviors log, search characteristics parameter of the user to be identified in preset time period is obtained.The preset time of the present embodiment
Cycle can be one month, two months or the other times length chosen according to practical experience.Because search once may
To be accidental, therefore, in the present embodiment, preset time period long enough can be chosen, the multiple search of a user can be included.
So as to identify whether the user is car owner using the characteristic parameter repeatedly searched for.
For example, from search behavior daily record, search characteristics parameter of the user to be identified in preset time period is obtained, is had
Body may include steps of：
(a1) from search behavior daily record, multiple search keys of the user to be identified in preset time period are obtained；
(b1) according to several preset themes, first theme distribution of multiple search keys in several preset themes is obtained
Expression；
Because mainly whether identification user is car owner in the present embodiment, the search key used for user's search can
Only to consider whether as the related theme of automobile, and can not be further analyzed for other unrelated themes of automobile.Therefore,
Can be only by default automobile related subject and other themes in the present embodiment, totally two preset themes.So, each search is crucial
The expression of theme distribution corresponding to word is only a bivector, and such as (0,1) or (1,0), the information of expression is not accurate enough.
Further, in order to improve the efficiency to vehicle owner identification, in the present embodiment, theme can also further be refined
Distribution and expression, now accordingly, greater number of preset themes can be set, to enrich the theme point belonging to search key
Class.Such as in the present embodiment, several preset themes can include vehicle failure, vehicle insurance, Motor Maintenance, self-driving trip, automobile purchase
Buy, loan for purchasing car and other themes.According to the actual requirements, the related theme of other multiple automobiles can also be set, herein not
An another citing repeats.
, can be according to the word of the search key for each search key of user in preset time period
Justice, the subject classification belonging to the search key is analyzed, then by corresponding to multiple search keys in preset time period
Subject classification expression just obtains the first of the user to be identified in the vector that same dimension size is equal to preset themes quantity
Theme distribution is expressed.For example, with several preset themes include vehicle failure, vehicle insurance, Motor Maintenance, self-driving trip, automobile purchase,
Exemplified by loan for purchasing car and other themes, the quantity of the preset themes of the present embodiment is 7, can so construct one 7 dimension to
Measure (0,0,0,0,0,0,0), each one preset themes of position correspondence.If certain user to be identified, in preset time period
Carried out altogether 50 times search, can according to corresponding to the search key searched for every time analyzes the search preset themes, then will
The numerical value that the opening position of preset themes is corresponded in vector adds 1, is all handled in a comparable manner for 50 access, so, most
The vector obtained eventually is first theme distribution expression of the user to be identified in preset time period.Wherein which preset themes
Corresponding numerical value is maximum, represents that the user to be identified accesses the frequency highest of the preset themes.Such as search for outside other themes
Vehicle failure, vehicle insurance, Motor Maintenance, self-driving trip, the frequency of automobile purchase and loan for purchasing car it is higher, represent that this is to be identified
The identity of user is higher for the probability of car owner's identity.And the frequency for searching for other themes is higher, the identity of user to be identified is represented
Probability for car owner's identity is lower.
(c1) from search behavior daily record, user to be identified is obtained at search result midpoint corresponding to multiple search keys
The URL hit quantity；
Specifically, search result corresponding to multiple search keys that the user to be identified searches in preset time period
Multiple URLs (Uniform Resoure Locator can be included；URL), i.e. network address.User to be identified can
Therefrom to select the URL for oneself wanting to check to be clicked on according to the brief introduction of display.Now in search behavior daily record, it can record
User to be identified clicks on the URL in search result.Therefore, user to be identified can be counted multiple from search behavior daily record
The URL clicked in search result corresponding to search key quantity.
(d1) according to several preset themes, the second theme for obtaining the URL that user to be identified clicks in search result divides
Cloth is expressed；
In the present embodiment, can also according to user to be identified click on search result in each URL corresponding to title
Or summary, analyze which preset themes the URL belongs to.By in a comparable manner, to user to be identified in preset time
Each URL clicked in cycle in search result is analyzed, and can obtain the preset themes belonging to each URL.Together
Reason, using the first subject heading list corresponding to above-mentioned multiple search keys up to by the way of generating, clicked in search result is learnt
After each URL preset themes, the URL second theme distribution and expression clicked in search result can also be obtained.Together
It is identical with the dimension that the first subject heading list reaches to manage the second theme distribution and expression, equal to the quantity of preset themes.Second theme is expressed
In corresponding vector, the numerical value corresponding to which preset themes on position is bigger, represents that user clicks on such in search result
The number of theme is more.Such as vehicle failure, vehicle insurance, Motor Maintenance, the self-driving clicked in search result outside other themes go out
The frequency of row, automobile purchase and loan for purchasing car is higher, represents that the identity of the user to be identified is higher for the probability of car owner's identity.
And the frequency for clicking on other themes in search result is higher, represent that the identity of user to be identified is lower for the probability of car owner's identity.
It follows that the search characteristics parameter of the present embodiment can include multiple search keys in several preset themes
The expression of the first theme distribution, the URL that is clicked in search result corresponding to multiple search keys of user to be identified quantity,
And the URL second theme distribution and expression three parts that user to be identified clicks in search result, and it is specifically used when, this three
Part can be stitched together.In practical application, search characteristics parameter can also also include other parameter informations, when such as searching for
Between, search entrance source etc., no longer citing repeats one by one herein.
101st, it is to be identified according to the characteristic parameter of user to be identified, identification using the vehicle owner identification device of training in advance
Whether the identity of user is car owner.
Training in advance has vehicle owner identification device in the present embodiment, and the characteristic parameter of user to be identified is inputted to training
The vehicle owner identification device, the vehicle owner identification device can predict and export the identity of the user to be identified for car owner or
Non- car owner, realize and the identity of the user to be identified is identified.
Alternatively, in the present embodiment, the characteristic parameter of user to be identified is inputted to before vehicle owner identification device, can be by
It is normalized according to normalized parameter set in advance, may be referred to the related side of the normalized of prior art in detail
Case, no longer citing repeats one by one herein.
For example, if the characteristic parameter of the user to be identified of the present embodiment only includes user to be identified in preset time period
Search characteristics parameter when, now step 101 is specifically as follows using vehicle owner identification device, according to user to be identified default
Search characteristics parameter in time cycle, whether the identity for identifying user to be identified is car owner.
The vehicle owner identification method of the present embodiment, by from network log, obtaining the characteristic parameter of user to be identified,
Characteristic parameter comprises at least search characteristics parameter of the user to be identified in preset time period；Utilize car owner's body of training in advance
Part identifier, according to the characteristic parameter of user to be identified, whether the identity for identifying user to be identified is car owner.The skill of the present embodiment
Art scheme, the deficiencies in the prior art can be made up, without the participation of user, be based only upon the network log of internet, just can be accurate
Really, the user of car owner's identity is efficiently identified, and then automobile After-market can more targetedly be carried out according to the car owner of identification
The popularization of field business.
Fig. 2 is the flow chart of the vehicle owner identification embodiment of the method two of the present invention.As shown in Fig. 2 the car of the present embodiment
Owner identification recognition methods, on the basis of the technical scheme of above-mentioned embodiment illustrated in fig. 1, this hair is further introduced in further detail
Bright technical scheme.As shown in Fig. 2 the vehicle owner identification method of the present embodiment, specifically may include steps of：
200th, from search behavior daily record, search characteristics parameter of the user to be identified in preset time period is obtained；
The specific record that may be referred to step (a1)-(d1) in above-described embodiment, will not be repeated here.
201st, from network log, the base attribute parameter of user to be identified is obtained；
In the present embodiment, include user to be identified the search in preset time period with the characteristic parameter of user to be identified
Exemplified by the base attribute parameter of characteristic parameter and user to be identified.The characteristic parameter of user wherein to be identified includes user to be identified
Search characteristics parameter in preset time period is the dynamic data of user to be identified, and the base attribute of user to be identified is joined
Number is the static data of user to be identified.Such as the base attribute parameter of the user to be identified can be according to the user's to be identified
Sex, age, occupation, marital status and fertility status obtain.
Such as the step 201, it can specifically include：
(a2) from network log, sex, age, occupation, marital status and the fertility status of user to be identified are obtained；
User to be identified can directly or indirectly leave sex, age, occupation, marital status during network is accessed
And the information such as fertility status.For example, in the survey of user, mailbox or number of site can fill messages.By to mutual
The network log of networking the whole network is analyzed, can obtain the sex of the user to be identified, the age, occupation, marital status and
Fertility status.Sex, age, occupation, marital status and the fertility status of user to be identified may also contribute to user to be identified
Identity identification.For example, it is contemplated that being more than women to the favorable rating of car to male, sex is man user, and identity is car owner
Probability more than sex be woman user.In view of the demand of married family, married user, identity is more than for the probability of car owner
Unmarried user.Similarly, fertility has that the user of child is higher to the demand of car, so the user given birth to, identity is general for car owner's
Rate is more than the user not given birth to.Furthermore it is also possible to the age is divided into similar multiple years such as 20-30,30-40,40-50,50-60
Age stepping, the user of analysis 20-30 age steppings are in the struggle stage more, and identity is relatively small for the probability of car owner；And 30-
40th, the user of 40-50 age steppings, majority have stronger economic capability, and identity is that the probability of car owner is larger；And 50-
The user of 60 age steppings, because the age is slightly larger, much may no longer it drive, identity is also smaller for the probability of car owner.When
Right above-mentioned age stepping is only a kind of citing, can carry out stepping according to other stepping standards in practical application.In the present embodiment,
Multiple default occupations can also be set, according to existing each professional emolument standard, the high professional user identity of emolument is car
Main probability is more than the relatively low professional user of emolument.Specifically default occupation can include information technology (Information
Technology；IT), other occupations of teacher, scientific research, profession etc.., specifically can be according to the actual requirements in practical application
More occupations are set, no longer illustrated one by one herein.
(b2) according to the sex of user to be identified, marital status and fertility status, the property of user to be identified is obtained respectively
Not Biao Da, nuptiality table reaches and fertility table reaches；
For example, it is that man's Sex Expression is 1 that can set sex, corresponding sex is that woman's Sex Expression is 0；Set
The marriage of wedding state is expressed as 1, and the marriage of corresponding singlehood is expressed as 0；The fertility educated is set to be expressed as 1, it is corresponding
The fertility do not educated is expressed as 0；Vice versa.
(c2) corresponding relation reached according to the age of user to be identified and default age stepping with chronological table, is obtained
The chronological table of user to be identified reaches；
For example, according to 20-30,30-40,40-50,50-60 etc. similar multiple age steppings, can set respectively correspondingly
Age be expressed as 0,1,2 and 3.According to the age of user to be identified, age stepping corresponding to acquisition, this can be got and wait to know
The chronological table of other user reaches.
(d2) according to the professional and several default occupation of user to be identified, the occupation expression of user to be identified is obtained；
Reached according to the first subject heading list in above-mentioned embodiment illustrated in fig. 1 and second theme expresses similar mode, can obtained
Occupation expression corresponding to getting.For example, if default occupation is 20 kinds, the vectorial dimension of corresponding occupation expression can be 20
Dimension, default occupation corresponding to each positional representation one.Which kind of default occupation, occupation expression are hit in the occupation of user to be identified
In corresponding to this kind of numerical value of position for presetting occupation could be arranged to 1, and remaining position could be arranged to 0.
It follows that the base attribute parameter of the user to be identified of the present embodiment can include Sex Expression, nuptiality table reaches,
Fertility table reaches, chronological table reaches and occupation expression, and when specifically used, this five part can be according to the sequential concatenation of setting one
Rise.In practical application, the base attribute parameter of user to be identified can also include the other information of user, and such as interest is expressed
Deng, herein no longer one by one citing repeat.Further, search characteristics parameter and base attribute parameter can also splice to make together
With.
202nd, using the vehicle owner identification device of training in advance, according to the search characteristics parameter of user to be identified and basic category
Property parameter, whether the identity for identifying user to be identified is car owner.
Specifically, it is defeated by the search characteristics parameter and base attribute parameter of the user to be identified obtained in above-described embodiment
Enter into vehicle owner identification device, the vehicle owner identification device can predict and export the identity of the user to be identified for car owner or
The non-car owner of person, realizes and the identity of the user to be identified is identified.
Similarly, alternatively, the search characteristics parameter and base attribute parameter of user to be identified, is inputted to vehicle owner identification
Before device, it can be normalized according to normalized parameter set in advance, may be referred to the normalizing of prior art in detail
Change the relevant programme of processing, no longer citing repeats one by one herein.
The vehicle owner identification method of the present embodiment, by using the technical scheme of above-described embodiment, it can make up existing
The deficiency of technology, without the participation of user, the network log of internet is based only upon, just can accurately and efficiently identify car owner's body
The user of part, and then the popularization of the market business after automobile can more targetedly be carried out according to the car owner of identification.
Still optionally further, before the step 101 of above-mentioned embodiment illustrated in fig. 1, training car owner's identity device can be included
Process, such as specifically may include steps of：
(a3) from network log, the training characteristics parameter of the user of several known identities is gathered；The user of known identities
For car owner's identity or non-car owner's identity；Training characteristics parameter comprises at least instruction of the user in preset time period of known identities
Practice search characteristics parameter；
(b3) the training characteristics parameter of the user of each known identities is used, trains vehicle owner identification device.
In the present embodiment, the required parameter of vehicle owner identification device is trained with being known using vehicle owner identification device
Required parameter is identical when other, it is necessary to gather several training characteristics parameters during training, such as can specifically reach 20-30 ten thousand,
Even more training characteristics parameters.The quantity of training characteristics parameter is more, and the vehicle owner identification device of training is more accurate, subsequently
Identify that the identity of user to be identified is more accurate using the vehicle owner identification device.
When due to training vehicle owner identification device, in order to ensure that the vehicle owner identification device of training is accurate enough, no
Only need positive example data to be trained, while also need to negative number of cases evidence and be trained.Wherein positive example data are the use of car owner's identity
Training characteristics parameter corresponding to family, it is training characteristics parameter corresponding to non-car owner's identity to bear number of cases evidence.Therefore, adopted in the present embodiment
In the training characteristics parameter of the user of several known identities of collection, it is necessary to training characteristics corresponding to the user both including car owner's identity
Parameter, also need to include training characteristics parameter corresponding to the user of non-car owner's identity simultaneously.Wherein positive example data and negative number of cases evidence
Suitable ratio can be selected, such as it is 5 that can select the ratio of positive example data and negative number of cases evidence:1.
When specifically, for the vehicle owner identification device of embodiment illustrated in fig. 1, each training characteristics parameter of collection is
Training search characteristics parameter of the user of one known identities in preset time period.Wherein train the acquisition of search characteristics parameter
Mode is identical with the acquisition modes of the search characteristics parameter of above-mentioned embodiment illustrated in fig. 1, may be referred in detail real shown in above-mentioned Fig. 1
The record of example is applied, will not be repeated here.
Before training, archetype of the neural network model as vehicle owner identification device can be first selected.Such as
Can be with neural network models such as selected depth learning model or Logic Regression Models in the present embodiment.Before training, for selection
Vehicle owner identification device archetype parameter setting initial value, can be by each training search characteristics ginseng during training
Number input, by vehicle owner identification device according to current parameter value, is exported to search characteristics parameter into vehicle owner identification device
The identity of the prediction of corresponding user.Then the identity of prediction and corresponding known identities are compared, if prediction identity with
Known identities are inconsistent, adjust the parameter of vehicle owner identification device so that prediction identity is consistent with known identities.Pass through collection
Vehicle owner identification device is identified the search characteristics parameter of several known identities, until vehicle owner identification device is restrained, really
The parameter of vehicle owner identification device is determined, so that it is determined that vehicle owner identification device, now, the training of vehicle owner identification device are completed.
Accordingly, if before step 202, " instruction of the user of several known identities is gathered in corresponding step (a3)
Practice characteristic parameter ", in addition to：Gather the training base attribute parameter of the user of several known identities；
Accordingly, " using the training characteristics parameter of the user of each known identities, vehicle owner identification is trained in step (b3)
Device ", it can specifically include：Use the training search characteristics parameter and training base attribute parameter of the user of each known identities, instruction
Practice owner identification identifier.
That is, if also the training base attribute of the user including known identities is joined in the training characteristics parameter of collection
Number.During training, while the training search characteristics parameter and training base attribute parameter of the user using known identities, train car owner
Identity recognizer.Now the training search characteristics parameter of the user of same known identities and training base attribute parameter can spell
Be connected together, in training process and above-described embodiment only with known identities user training search characteristics parameter training car owner
The training process of identity recognizer is identical, may be referred to the record of above-described embodiment in detail, will not be repeated here.And the present embodiment
In, the quantity of each preset themes and preset themes in training process and identification process, preset occupation and preset occupation
The chronological table of quantity, age stepping and corresponding each age stepping up to etc. all must it is identical, to ensure vehicle owner identification
The accuracy of device identification.
Fig. 3 is the structure chart of the vehicle owner identification device embodiment one of the present invention.As shown in figure 3, the car of the present embodiment
Owner identification identification device, it can specifically include：Acquisition module 10 and identification module 11.
Wherein acquisition module 10 is used for from network log, obtains the characteristic parameter of user to be identified, characteristic parameter is at least
Including user to be identified the search characteristics parameter in preset time period；
Identification module 11 is used for the vehicle owner identification device using training in advance, is obtained according to acquisition module 10 to be identified
The characteristic parameter of user, whether the identity for identifying user to be identified is car owner.
The vehicle owner identification device of the present embodiment, the realization principle of vehicle owner identification is realized by using above-mentioned module
And technique effect is identical with realizing for above-mentioned related method embodiment, the note of above-mentioned related method embodiment is may be referred in detail
Carry, will not be repeated here.
Fig. 4 is the structure chart of the vehicle owner identification device embodiment two of the present invention.As shown in figure 4, the car of the present embodiment
Owner identification identification device, on the basis of the technical scheme of above-mentioned embodiment illustrated in fig. 3, this hair is further introduced in further detail
Bright technical scheme.
In the vehicle owner identification device of the present embodiment, acquisition module 10 is specifically used for from search behavior daily record, obtains
Search characteristics parameter of the user to be identified in preset time period；
Further, acquisition module 10 is specifically used for：
From search behavior daily record, multiple search keys of the user to be identified in preset time period are obtained；
According to several preset themes, first theme distribution table of multiple search keys in several preset themes is obtained
Reach；
From search behavior daily record, obtain what user to be identified clicked in search result corresponding to multiple search keys
URL quantity；
According to several preset themes, the second theme distribution table for the URL that user to be identified clicks in search result is obtained
Reach；
Further, identification module 11 is specifically used for utilizing vehicle owner identification device, is treated according to what acquisition module 10 obtained
Search characteristics parameter of the user in preset time period is identified, whether the identity for identifying user to be identified is car owner.
Still optionally further, in the vehicle owner identification device of the present embodiment, several preset themes include vehicle failure, car
Danger, Motor Maintenance, self-driving trip, automobile purchase, loan for purchasing car and other themes.
Still optionally further, in the vehicle owner identification device of the present embodiment, acquisition module 10 is additionally operable to from network log
In, obtain the base attribute parameter of user to be identified；
Further, acquisition module 10 is specifically used for：
From network log, sex, age, occupation, marital status and the fertility status of user to be identified are obtained；
According to the sex of user to be identified, marital status and fertility status, the sex table of user to be identified is obtained respectively
Reach, nuptiality table reaches and fertility table reaches；
The corresponding relation reached according to the age of user to be identified and default age stepping with chronological table, obtains and waits to know
The chronological table of other user reaches；
According to the professional and several default occupation of user to be identified, the occupation expression of user to be identified is obtained；
Further, identification module 11 is specifically used for：
Using vehicle owner identification device, according to the search characteristics parameter of the user to be identified of the acquisition of acquisition module 10 and substantially
Property parameters, whether the identity for identifying user to be identified is car owner.
As shown in figure 4, still optionally further, in the vehicle owner identification device of the present embodiment, in addition to：Acquisition module 12
For the training characteristics parameter for the user for from network log, gathering several known identities；The user of known identities is car owner's body
Part or non-car owner's identity；The user that training characteristics parameter comprises at least known identities searches for spy in the training of preset time period
Levy parameter；
Training module 13 is used for the training characteristics parameter of the user of each known identities gathered using acquisition module 12, training
Vehicle owner identification device.
Accordingly, identification module 11 is specifically used for the vehicle owner identification device trained using training module 13, according to acquisition
Search characteristics parameter of the user to be identified in preset time period that module 10 obtains, identify user to be identified identity whether
For car owner.
Still optionally further, in the vehicle owner identification device of the present embodiment, acquisition module 12 be additionally operable to gather it is several
Know the training base attribute parameter of the user of identity；
Further, training module 13 is specifically used for the training of the user of each known identities gathered using acquisition module 12
Search characteristics parameter and training base attribute parameter, train vehicle owner identification device.
Now accordingly, identification module 11 is specifically used for the vehicle owner identification device trained using training module 13, according to
Search characteristics parameter and training base attribute parameter of the user to be identified that acquisition module 10 obtains in preset time period, know
Whether the identity of user not to be identified is car owner.
The vehicle owner identification device of the present embodiment, the realization principle of vehicle owner identification is realized by using above-mentioned module
And technique effect is identical with realizing for above-mentioned related method embodiment, the note of above-mentioned related method embodiment is may be referred in detail
Carry, will not be repeated here.
Fig. 5 is the structure chart of the computer equipment embodiment of the present invention.As shown in figure 5, the computer equipment of the present embodiment,
Including：One or more processors 30, and memory 40, memory 40 are used to store one or more programs, work as memory
The one or more programs stored in 40 are performed by one or more processors 30 so that one or more processors 30 are realized such as
The vehicle owner identification method of figure 1 above-embodiment illustrated in fig. 2.In embodiment illustrated in fig. 5 exemplified by including multiple processors 30.
For example, Fig. 6 is a kind of exemplary plot of computer equipment provided by the invention.Fig. 6 is shown suitable for being used for realizing this
The exemplary computer device 12a of invention embodiment block diagram.The computer equipment 12a that Fig. 6 is shown is only an example,
Any restrictions should not be brought to the function and use range of the embodiment of the present invention.
As shown in fig. 6, computer equipment 12a is showed in the form of universal computing device.Computer equipment 12a component can
To include but is not limited to：One or more processor 16a, system storage 28a, connection different system component (including system
Memory 28a and processor 16a) bus 18a.
Bus 18a represents the one or more in a few class bus structures, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using any bus structures in a variety of bus structures.Lift
For example, these architectures include but is not limited to industry standard architecture (ISA) bus, MCA (MAC)
Bus, enhanced isa bus, VESA's (VESA) local bus and periphery component interconnection (PCI) bus.
Computer equipment 12a typically comprises various computing systems computer-readable recording medium.These media can be it is any can
The usable medium accessed by computer equipment 12a, including volatibility and non-volatile media, moveable and immovable Jie
Matter.
System storage 28a can include the computer system readable media of form of volatile memory, such as deposit at random
Access to memory (RAM) 30a and/or cache memory 32a.Computer equipment 12a may further include it is other it is removable/
Immovable, volatile/non-volatile computer system storage medium.Only as an example, storage system 34a can be used for reading
Write immovable, non-volatile magnetic media (Fig. 6 is not shown, is commonly referred to as " hard disk drive ").Although not shown in Fig. 6,
It can provide for the disc driver to may move non-volatile magnetic disk (such as " floppy disk ") read-write, and to removable non-easy
The CD drive of the property lost CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each
Driver can be connected by one or more data media interfaces with bus 18a.System storage 28a can be included at least
One program product, the program product have one group of (for example, at least one) program module, and these program modules are configured to hold
The function of the above-mentioned each embodiments of Fig. 1-Fig. 4 of the row present invention.
Program with one group of (at least one) program module 42a/utility 40a, such as system can be stored in and deposited
In reservoir 28a, such program module 42a include --- but being not limited to --- operating system, one or more application program,
Other program modules and routine data, the reality of network environment may be included in each or certain combination in these examples
It is existing.Program module 42a generally performs the function and/or method in above-mentioned each embodiments of Fig. 1-Fig. 4 described in the invention.
Computer equipment 12a can also be with one or more external equipment 14a (such as keyboard, sensing equipment, display
24a etc.) communication, the equipment communication interacted with computer equipment 12a can be also enabled a user to one or more, and/or
(such as network interface card is adjusted with enabling any equipment that computer equipment 12a communicated with one or more of the other computing device
Modulator-demodulator etc.) communication.This communication can be carried out by input/output (I/O) interface 22a.Also, computer equipment
12a can also by network adapter 20a and one or more network (such as LAN (LAN), wide area network (WAN) and/or
Public network, such as internet) communication.As illustrated, network adapter 20a by bus 18a and computer equipment 12a its
Its module communicates.It should be understood that although not shown in the drawings, other hardware and/or software can be used with reference to computer equipment 12a
Module, include but is not limited to：Microcode, device driver, redundant processor, external disk drive array, RAID system, tape
Driver and data backup storage system etc..
Processor 16a is stored in program in system storage 28a by operation, so as to perform various function application and
Data processing, such as realize the vehicle owner identification method shown in above-described embodiment.
The present invention also provides a kind of computer-readable medium, is stored thereon with computer program, the program is held by processor
The vehicle owner identification method as shown in above-mentioned embodiment is realized during row.
The computer-readable medium of the present embodiment can be included in the system storage 28a in above-mentioned embodiment illustrated in fig. 6
RAM30a, and/or cache memory 32a, and/or storage system 34a.
With the development of science and technology, the route of transmission of computer program is no longer limited by tangible medium, can also be directly from net
Network is downloaded, or is obtained using other modes.Therefore, the computer-readable medium in the present embodiment can not only include tangible
Medium, invisible medium can also be included.
The computer-readable medium of the present embodiment can use any combination of one or more computer-readable media.
Computer-readable medium can be computer-readable signal media or computer-readable recording medium.Computer-readable storage medium
Matter for example may be-but not limited to-system, device or the device of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, or
Combination more than person is any.The more specifically example (non exhaustive list) of computer-readable recording medium includes：With one
Or the electrical connections of multiple wires, portable computer diskette, hard disk, random access memory (RAM), read-only storage (ROM),
Erasable programmable read only memory (EPROM or flash memory), optical fiber, portable compact disc read-only storage (CD-ROM), light
Memory device, magnetic memory device or above-mentioned any appropriate combination.In this document, computer-readable recording medium can
Be it is any include or the tangible medium of storage program, the program can be commanded execution system, device or device use or
Person is in connection.
Computer-readable signal media can include in a base band or as carrier wave a part propagation data-signal,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including --- but
It is not limited to --- electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be
Any computer-readable medium beyond computer-readable recording medium, the computer-readable medium can send, propagate or
Transmit for by instruction execution system, device either device use or program in connection.
The program code included on computer-readable medium can be transmitted with any appropriate medium, including --- but it is unlimited
In --- wireless, electric wire, optical cable, RF etc., or above-mentioned any appropriate combination.
It can be write with one or more programming languages or its combination for performing the computer that operates of the present invention
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Also include conventional procedural programming language-such as " C " language or similar programming language.Program code can be with
Fully perform, partly perform on the user computer on the user computer, the software kit independent as one performs, portion
Divide and partly perform or performed completely on remote computer or server on the remote computer on the user computer.
Be related in the situation of remote computer, remote computer can pass through the network of any kind --- including LAN (LAN) or
Wide area network (WAN)-be connected to subscriber computer, or, it may be connected to outer computer (such as carried using Internet service
Pass through Internet connection for business).
In several embodiments provided by the present invention, it should be understood that disclosed system, apparatus and method can be with
Realize by another way.For example, device embodiment described above is only schematical, for example, the unit
Division, only a kind of division of logic function, can there is other dividing mode when actually realizing.
The unit illustrated as separating component can be or may not be physically separate, show as unit
The part shown can be or may not be physical location, you can with positioned at a place, or can also be distributed to multiple
On NE.Some or all of unit therein can be selected to realize the mesh of this embodiment scheme according to the actual needs
's.
In addition, each functional unit in each embodiment of the present invention can be integrated in a processing unit, can also
That unit is individually physically present, can also two or more units it is integrated in a unit.Above-mentioned integrated list
Member can both be realized in the form of hardware, can also be realized in the form of hardware adds SFU software functional unit.
The above-mentioned integrated unit realized in the form of SFU software functional unit, can be stored in one and computer-readable deposit
In storage media.Above-mentioned SFU software functional unit is stored in a storage medium, including some instructions are causing a computer
It is each that equipment (can be personal computer, server, or network equipment etc.) or processor (processor) perform the present invention
The part steps of embodiment methods described.And foregoing storage medium includes：USB flash disk, mobile hard disk, read-only storage (Read-
Only Memory, ROM), random access memory (Random Access Memory, RAM), magnetic disc or CD etc. it is various
Can be with the medium of store program codes.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
God any modification, equivalent substitution and improvements done etc., should be included within the scope of protection of the invention with principle.
Claims (12)
- A kind of 1. vehicle owner identification method, it is characterised in that methods described includes：From network log, the characteristic parameter of user to be identified is obtained, the characteristic parameter comprises at least the user to be identified Search characteristics parameter in preset time period；It is described to be identified according to the characteristic parameter of the user to be identified, identification using the vehicle owner identification device of training in advance Whether the identity of user is car owner.
- 2. according to the method for claim 1, it is characterised in that the network log is search behavior daily record, then it is described from In network log, the characteristic parameter of user to be identified is obtained, is specifically included：From the search behavior daily record, it is crucial to obtain multiple search of the user to be identified in the preset time period Word；According to several preset themes, first theme distribution of the multiple search key in several preset themes is obtained Expression；From the search behavior daily record, the user to be identified is obtained in search result corresponding to the multiple search key The URL of middle click quantity；According to several preset themes, obtain the URL that the user to be identified clicks in the search result second is led Inscribe distribution and expression；Further, using the vehicle owner identification device of training in advance, according to the characteristic parameter of the user to be identified, institute is identified Whether the identity for stating user to be identified is car owner, is specifically included：It is special according to the search of the user to be identified in the preset time period using the vehicle owner identification device Parameter is levied, whether the identity for identifying the user to be identified is car owner.
- 3. method according to claim 1 or 2, it is characterised in that from network log, obtain the feature of user to be identified Parameter, in addition to：From the network log, the base attribute parameter of the user to be identified is obtained；Further, from the network log, the base attribute parameter of the user to be identified is obtained, is specifically included：From the network log, sex, age, occupation, marital status and the fertility status of the user to be identified are obtained；According to sex, marital status and the fertility status of the user to be identified, the property of the user to be identified is obtained respectively Not Biao Da, nuptiality table reaches and fertility table reaches；The corresponding relation reached according to the age of the user to be identified and default age stepping with chronological table, described in acquisition The chronological table of user to be identified reaches；According to the professional and several default occupation of the user to be identified, the occupation expression of the user to be identified is obtained；Further, using the vehicle owner identification device of training in advance, according to the characteristic parameter of the user to be identified, institute is identified Whether the identity for stating user to be identified is car owner, is specifically included：Using the vehicle owner identification device, according to the search characteristics parameter of the user to be identified and the base attribute Parameter, whether the identity for identifying the user to be identified is car owner.
- 4. according to the method for claim 3, it is characterised in that using the vehicle owner identification device of training in advance, according to institute The characteristic parameter of user to be identified is stated, before whether the identity for identifying the user to be identified is car owner, in addition to：From the network log, the training characteristics parameter of the user of several known identities is gathered；The user of the known identities For car owner's identity or non-car owner's identity；The training characteristics parameter comprises at least the user of the known identities described default The training search characteristics parameter of time cycle；Using the training characteristics parameter of the user of each known identities, the vehicle owner identification device is trained.
- 5. according to the method for claim 4, it is characterised in that gather the training characteristics ginseng of the user of several known identities Number, in addition to：Gather the training base attribute parameter of the user of several known identities；Further, using each known identities user the training characteristics parameter, train the vehicle owner identification Device, specifically include：The training search characteristics parameter and the training base attribute parameter using the user of each known identities, training The vehicle owner identification device.
- 6. a kind of vehicle owner identification device, it is characterised in that described device includes：Acquisition module, for from network log, obtaining the characteristic parameter of user to be identified, the characteristic parameter comprises at least institute State search characteristics parameter of the user to be identified in preset time period；Identification module, for the vehicle owner identification device using training in advance, according to the characteristic parameter of the user to be identified, know Whether the identity of not described user to be identified is car owner.
- 7. device according to claim 6, it is characterised in that the acquisition module, be specifically for the network log During search behavior daily record, from the search behavior daily record, the user to be identified is obtained in the preset time period Multiple search keys；According to several preset themes, first theme distribution of the multiple search key in several preset themes is obtained Expression；From the search behavior daily record, the user to be identified is obtained in search result corresponding to the multiple search key The URL of middle click quantity；According to several preset themes, obtain the URL that the user to be identified clicks in the search result second is led Inscribe distribution and expression；Further, the identification module, specifically for utilizing the vehicle owner identification device, existed according to the user to be identified The search characteristics parameter in the preset time period, whether the identity for identifying the user to be identified is car owner.
- 8. the device according to claim 6 or 7, it is characterised in that the acquisition module, be additionally operable to from the network log In, the base attribute parameter of the acquisition user to be identified；Further, the acquisition module, is specifically used for：From the network log, sex, age, occupation, marital status and the fertility status of the user to be identified are obtained；According to sex, marital status and the fertility status of the user to be identified, the property of the user to be identified is obtained respectively Not Biao Da, nuptiality table reaches and fertility table reaches；The corresponding relation reached according to the age of the user to be identified and default age stepping with chronological table, described in acquisition The chronological table of user to be identified reaches；According to the professional and several default occupation of the user to be identified, the occupation expression of the user to be identified is obtained；Further, the identification module, is specifically used for：Using the vehicle owner identification device, according to the search characteristics parameter of the user to be identified and the base attribute Parameter, whether the identity for identifying the user to be identified is car owner.
- 9. device according to claim 8, it is characterised in that described device also includes：Acquisition module, the training characteristics parameter of the user for from the network log, gathering several known identities；It is described The user for knowing identity is car owner's identity or non-car owner's identity；The training characteristics parameter comprises at least the use of the known identities Training search characteristics parameter of the family in the preset time period；Training module, for the training characteristics parameter of the user using each known identities, train car owner's identity Identifier.
- 10. device according to claim 9, it is characterised in that the acquisition module, be additionally operable to gather described several known The training base attribute parameter of the user of identity；Further, the training module, specifically for the training search characteristics of the user using each known identities Parameter and the training base attribute parameter, train the vehicle owner identification device.
- 11. a kind of computer equipment, it is characterised in that the equipment includes：One or more processors；Memory, for storing one or more programs,When one or more of programs are by one or more of computing devices so that one or more of processors are real The now method as described in any in claim 1-5.
- 12. a kind of computer-readable medium, is stored thereon with computer program, it is characterised in that the program is executed by processor Methods of the Shi Shixian as described in any in claim 1-5.
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|---|---|---|---|
| CN201710686340.8A CN107656963A (en) | 2017-08-11 | 2017-08-11 | Vehicle owner identification method and device, computer equipment and computer-readable recording medium |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710686340.8A CN107656963A (en) | 2017-08-11 | 2017-08-11 | Vehicle owner identification method and device, computer equipment and computer-readable recording medium |
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| CN201710686340.8A Pending CN107656963A (en) | 2017-08-11 | 2017-08-11 | Vehicle owner identification method and device, computer equipment and computer-readable recording medium |
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