CN110490646A - The determination method and device of automobile brand target user - Google Patents
The determination method and device of automobile brand target user Download PDFInfo
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- CN110490646A CN110490646A CN201910707348.7A CN201910707348A CN110490646A CN 110490646 A CN110490646 A CN 110490646A CN 201910707348 A CN201910707348 A CN 201910707348A CN 110490646 A CN110490646 A CN 110490646A
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
- G06Q30/0201—Market modelling; Market analysis; Collecting market data
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- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G06Q30/0251—Targeted advertisements
- G06Q30/0255—Targeted advertisements based on user history
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/02—Marketing; Price estimation or determination; Fundraising
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- G06Q30/0269—Targeted advertisements based on user profile or attribute
- G06Q30/0271—Personalized advertisement
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Abstract
The embodiment of the present invention provides the determination method and device of automobile brand target user a kind of.Wherein, method includes: the basic telecom service data according to objective time interval, obtains the purchase vehicle characteristic behavior information of each user of objective time interval;By the purchase vehicle characteristic behavior information input of each user of objective time interval to target user's decision model, the target user of each automobile brand of objective time interval is exported;Wherein, purchase vehicle characteristic behavior information include conversational nature, car information class application program using at least one of feature, the access feature of Automobile Enterprises website, the search characteristics of vehicle key word and location track feature;Target user's decision model is obtained after the automobile for whether buying automobile brand according to the purchase vehicle characteristic behavior information of each user of historical period and historical period user is trained.The determination method and device of automobile brand target user provided in an embodiment of the present invention can obtain the target user of more accurate each automobile brand.
Description
Technical field
The present invention relates to field of computer technology, more particularly, to the determination method of automobile brand target user a kind of
And device.
Background technique
With the increasing living standards of the people, automobile is increasingly becoming indispensable a kind of commodity in people's life.
Currently, automobile sales corporation is marketed in such a way that magnanimity launches advertisement since user group disperses, cost of marketing is caused
Waste, and Traditional Marketing channel is single, cannot see clearly user's habit, and advertisement arrival rate is low, be unable to fully to excavate user demand and
Demand, sales achievement are difficult to be promoted.
Therefore, there is the deficiency for being difficult to obtain accurately target user in the determination method of existing automobile brand target user.
Summary of the invention
The embodiment of the present invention provides the determination method and device of automobile brand target user a kind of, to solve or at least
Partly solve the defect that the prior art is difficult to obtain accurately target user.
In a first aspect, the embodiment of the present invention provides the determination method of automobile brand target user a kind of, comprising:
According to the basic telecom service data of objective time interval, the purchase vehicle characteristic behavior information of each user of objective time interval is obtained;
By the purchase vehicle characteristic behavior information input of each user of the objective time interval to target user's decision model, described in output
The target user of each automobile brand of objective time interval;
Wherein, the purchase vehicle characteristic behavior information includes conversational nature, the use feature of car information class application program, vapour
At least one of the access feature of vehicle enterprise web site, the search characteristics of vehicle key word and location track feature;The target
User's decision model is whether to buy vapour according to the purchase vehicle characteristic behavior information of each user of historical period and historical period user
What the automobile of vehicle brand obtained after being trained.
Preferably, according to the basic telecom service data of objective time interval, the conversational nature of each user of objective time interval is obtained
Specific steps include:
According to the telephone number of the call detailed list of objective time interval telecommunications industry and each shop 4S of each automobile brand, extract each
The average call duration in user and the shop 4S, caller/called, whether 400 numbers, talk times, call number of days, the call shop 4S
Number, call 4 S auto shop brand and preference brand, the conversational nature as the user.
Preferably, according to the telephone number of the call detailed list of objective time interval telecommunications industry and each shop 4S of each automobile brand,
The specific steps for extracting the preference brand of each user include:
For each user, according to the phone of the call detailed list of objective time interval telecommunications industry and each shop 4S of each automobile brand
Number obtains the number that the user contacts with each automobile brand;
If the user only contacts with an automobile brand, the automobile brand is determined as the inclined of the user
Good brand;
If the user contacts with multiple automobile brands, time for the automobile brand that the user is in the most contact is judged
Whether number is greater than preset proportion threshold value compared to the number of the automobile brand of contact more than second, determines the use according to judging result
The preference brand at family.
Preferably, the specific steps of the preference brand that the user is determined according to judging result include:
If judging result is greater than the automobile brand that the user is in the most contact to be determined as to the preference product of the user
Board;
If judging result is less than or equal to obtaining the user according to linear analogue algorithm and contact with each automobile brand
The variation coefficient of number;
If the maximum value of the variation coefficient of frequency of exposure is greater than preset coefficient threshold, by the corresponding vapour of the maximum value
Vehicle brand is determined as the preference brand of the user;
If the maximum value of the variation coefficient of frequency of exposure is not greater than preset coefficient threshold, the user is in the most contact
Automobile brand be determined as the preference brand of the user.
Preferably, according to the basic telecom service data of objective time interval, the location track for obtaining each user of objective time interval is special
The specific steps of sign include:
According to the mobile signaling protocol data of objective time interval telecommunications industry, the permanent position of each user of objective time interval is obtained;
For each user, the secondary to shop of the user is extracted in the permanent position of the user according to objective time interval
Number, to shop number of days, to the shop shop 4S brand, to shop be averaged stay time and arrive the shop shop 4S grade, the position rail as the user
Mark feature.
Preferably, the mobile signaling protocol data according to objective time interval telecommunications industry obtain the normal of each user of objective time interval
Firmly the specific steps of position include:
Each user is obtained in objective time interval according to the mobile signaling protocol data of objective time interval telecommunications industry
Working hour, the base station that the user passes through and the stay time in each base station;
The user according to the working hour in objective time interval pass through base station longitude and latitude and in each base station
Stay time obtains the longitude and latitude of the user job period, the permanent position as the user.
Preferably, after the target user of output each automobile brand of objective time interval, further includes:
For the target user of any automobile brand, used according to the geographical location in each shop 4S of the automobile brand and each target
The permanent position at family determines the target user in the shop the automobile brand every 4S.
Second aspect, the embodiment of the present invention provide the determining device of automobile brand target user a kind of, comprising:
Characteristic extracting module obtains each user's of objective time interval for the basic telecom service data according to objective time interval
Purchase vehicle characteristic behavior information;
Target determination module, for by the purchase vehicle characteristic behavior information input of each user of the objective time interval to target user
Decision model exports the target user of each automobile brand of the objective time interval;
Wherein, the purchase vehicle characteristic behavior information includes conversational nature, the use feature of car information class application program, vapour
At least one of the access feature of vehicle enterprise web site, the search characteristics of vehicle key word and location track feature;The target
User's decision model is whether to buy vapour according to the purchase vehicle characteristic behavior information of each user of historical period and historical period user
What the automobile of vehicle brand obtained after being trained.
The third aspect, the embodiment of the present invention provides a kind of electronic equipment, including memory, processor and is stored in memory
Computer program that is upper and can running on a processor, realizes the various possible realizations such as first aspect when executing described program
In mode the step of the determination method of automobile brand target user provided by any possible implementation.
Fourth aspect, the embodiment of the present invention provide a kind of non-transient computer readable storage medium, are stored thereon with calculating
Machine program, when which is executed by processor realize as first aspect various possible implementations in it is any can
The step of determination method of automobile brand target user provided by the implementation of energy.
The determination method and device of automobile brand target user provided in an embodiment of the present invention crosses the base according to objective time interval
Plinth telecommunication service data obtain the purchase vehicle characteristic behavior information of each user of objective time interval, and the purchase vehicle of each user of objective time interval is special
Sign behavioural information is input to target user's decision model, exports the target user of each automobile brand of objective time interval, is based on telecommunications row
Sparetime university's data edge can obtain the target user of more accurate each automobile brand, have in conjunction with data resource abundant on internet
Help automobile sales corporation and carry out more targeted marketing, saves cost of marketing.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is this hair
Bright some embodiments for those of ordinary skill in the art without creative efforts, can be with root
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is the flow diagram according to the determination method of automobile brand target user provided in an embodiment of the present invention;
Fig. 2 is the structural schematic diagram according to the determining device of automobile brand target user provided in an embodiment of the present invention;
Fig. 3 is the entity structure schematic diagram according to electronic equipment provided in an embodiment of the present invention.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
In order to overcome the above problem of the prior art, the embodiment of the present invention provides the determination of automobile brand target user a kind of
Method and device, inventive concept are, by big data analysis mass users behavioural characteristic data, the various dimensions including user are drawn
The data such as picture, user location trace information, user's internet behavior provide personalized automobile industry label, needle for automobile industry
The key messages such as user's trip, user's purchase intention are collected and mining analysis, description user's group character excavate potential purchase
Vehicle user characteristics filter out the target user of each automobile brand from whole users, may thereby determine that out more accurate target
User.
Fig. 1 is the flow diagram according to the determination method of automobile brand target user provided in an embodiment of the present invention.Such as
Shown in Fig. 1, this method comprises: step S101, the basic telecom service data according to objective time interval, obtain each user of objective time interval
Purchase vehicle characteristic behavior information.
Wherein, purchase vehicle characteristic behavior information includes conversational nature, the use feature of car information class application program, automobile enterprise
At least one of the access feature of industry website, the search characteristics of vehicle key word and location track feature.
Specifically, vehicle characteristic behavior is purchased, refers to user to buy automobile, and the online query information of progress, online are checked
The behaviors such as the shop 4S are arrived in information and the call of the shop 4S.
With the development of mobile communication technology, mobile communication network technology will enter the 5G epoch, be based on basic telecommunication industry
Business data, the ability for obtaining the data such as location information and the internet behavior information of user gets a promotion, therefore, before step S101
The basic telecom service data of objective time interval can be obtained from basic telecom carrier.
According to the basic telecom service data of objective time interval, various terminals (such as smart phone, plate can be passed through from user
Computer and PC etc.) it conversed, obtain car information using application program (APP, Application), using search
Engine obtains car information and accesses Automobile Enterprises website angularly using browser, obtains conversational nature, the automobile money of user
The search characteristics using feature, the access feature of Automobile Enterprises website and vehicle key word for interrogating class application program, can also obtain
Take the position that family uses various terminals.
The position of various terminals is used according to user, it can be determined that go out whether user arrives the shop 4S, so as to extract use
The location track feature at family.
Conversational nature, the behavioural characteristic for describing to converse between user and the shop 4S.
The use feature of car information class application program passes through car information class application program, online for describing user
The behavioural characteristic of information is checked in query information and online.
The access feature of Automobile Enterprises website accesses Automobile Enterprises website by browser for describing user, and online is looked into
It askes information and the behavioural characteristic of information is checked in online.
The search characteristics of vehicle key word input vehicle key word, online inquiry for describing user by search engine
The behavioural characteristic of information is checked in information and online.
Location track feature, for describing the position of user and the feature of trail change.
Step S102, defeated by the purchase vehicle characteristic behavior information input of each user of objective time interval to target user's decision model
The target user of each automobile brand of objective time interval out.
Wherein, when target user's decision model is the purchase vehicle characteristic behavior information and history according to each user of historical period
What the automobile whether section user buys automobile brand obtained after being trained.
It should be noted that before step S102, purchase vehicle characteristic behavior information based on each user of historical period and go through
The history period, whether user bought the automobile of automobile brand, was trained to the model of building, obtained target user's decision model.
In training process, for each user of historical period, if the user has bought the automobile of a certain automobile brand,
Using the user as positive sample, the label of target labels 1, the brand of the automobile of purchase is 1, and the label of other automobile brands is
0;If the user does not buy the automobile of any automobile brand, using the user as negative sample, target labels 0, each automobile
The label of brand is 0.
The negative sample composing training sample set that positive sample can be selected according to preset ratio, according to training sample set to mould
Type is trained.For example, the positive preset ratio of negative sample is 3:7.Preset ratio can be implemented according to actual selection, the present invention
Example is not specifically limited this.
Target user's decision model, can according to the building of any machine learning method model.For example, above-mentioned machine
Learning method can be Decision-Tree Method and artificial neural network classification method etc..
By being trained based on training sample the set pair analysis model, target user's decision model can reflect out the purchase vehicle of user
Characteristic behavior information and whether it is interested in each automobile brand between relationship, so as to according to the purchase vehicle feature row of user
For information, the interested automobile brand of user is obtained, using the user as the target user of interested automobile brand.
The resources such as telecommunications industry big data are applied on automobile precision marketing by the embodiment of the present invention, are mentioned for big data realization
More multipath and case are supplied.
The embodiment of the present invention obtains the purchase of each user of objective time interval by the basic telecom service data according to objective time interval
Vehicle characteristic behavior information, by the purchase vehicle characteristic behavior information input of each user of objective time interval to target user's decision model, output
The target user of each automobile brand of objective time interval is based on telecommunications industry big data advantage, provides in conjunction with data abundant on internet
Source can obtain the target user of more accurate each automobile brand, facilitate automobile sales corporation and carry out more targeted marketing,
Save cost of marketing.
It is each to obtain objective time interval according to the basic telecom service data of objective time interval for content based on the various embodiments described above
The specific steps of the conversational nature of user include: the call detailed list and each 4S of each automobile brand according to objective time interval telecommunications industry
The telephone number in shop, extract the average call duration of each user and the shop 4S, caller/called, whether 400 numbers, talk times,
Call number of days, the call shop 4S number, call 4 S auto shop brand and preference brand, the conversational nature as user.
Specifically, data parsing carried out to the basic telecom service data of objective time interval, crawl and simulate expertise point
Analysis, available call detailed list information, APP basic information, URL basic information and search key basic information.
Index is carried out to call detailed list information, APP basic information, URL basic information and search key basic information to add
Each index field of user can be processed and be derived to work.
Based on the telephone number for crawling each shop 4S of each automobile brand obtained from internet in advance, call detailed list is believed
Breath carries out index processing, can extract the conversational nature of each user.Conversational nature may include following field: user and 4S
The average call duration in shop, caller/called, whether 400 numbers, talk times, call number of days, the call shop 4S number, call vapour
Vehicle 4S shop brand and preference brand etc..
When crawling the telephone number in each shop 4S of each automobile brand obtained from internet, 4 S auto shop can be crawled
Telephone number manages brand and corresponding brand competition grade, according to the telephone number of 4 S auto shop, manages brand and corresponding
The shop 4S telephonedirectory is made in brand competition grade.
Technology parsing can be carried out to APP basic information, extract making for the car information class application program of each user
Use feature.The use feature of car information class application program may include following field: APP access times, APP using number of days,
APP browses brand, APP uses average duration, APP title and APP grade etc..
Technology parsing can be carried out to URL basic information, extract the access feature of the Automobile Enterprises website of each user.
The access feature of Automobile Enterprises website may include following field: URL access times, URL using number of days, URL browsing brand,
URL uses average duration, URL name and URL grade etc..
Technology parsing can be carried out to search key basic information, extract the search of the vehicle key word of each user
Feature.The search characteristics of vehicle key word may include following field: whether search key, search key number, search
Keyword number of days, search key brand, search key vehicle and search key grade etc..
The embodiment of the present invention is based on carrying out comprehensive consideration using dimensions such as time, access times, Long-term change trends, obtains user
The purchase vehicle characteristic behavior information such as conversational nature, can more accurately reflect user to the preference of each automobile brand, so as to
Based on the purchase more accurate potential user group of vehicle characteristic behavior information acquisition.
Content based on the various embodiments described above, it is each according to the call detailed list of objective time interval telecommunications industry and each automobile brand
The telephone number in the shop 4S, the specific steps for extracting the preference brand of each user include: for each user, according to objective time interval
The telephone number of the call detailed list of telecommunications industry and each shop 4S of each automobile brand obtains what user contacted with each automobile brand
Number.
It should be noted that user may after the information for obtaining multiple automobile brands, just decide whether to buy automobile and
The automobile of which brand is bought, therefore, according to the call detailed list of user, can determine the preference brand of the user.
For user and a certain automobile brand, user with the shop automobile brand 4S is every is once conversed, be denoted as user with
The contact of the automobile brand is primary.
Since same automobile brand has the more shops 4S, according to the call detailed list of objective time interval telecommunications industry and each
The telephone number in each shop 4S of automobile brand, can lead to and count the number that user contacts with each automobile brand.
If user only contacts with an automobile brand, automobile brand is determined as to the preference brand of user.
Specifically, for each user, statistical result is only contacted with a certain automobile brand for the user, and and other
The number that automobile brand is contacted is 0, illustrates that the user is that single automobile brand contacts user, the user is only to contact
Unique automobile brand is interested, and unique automobile brand of the contact is determined as to the preference brand of the user.
If user contacts with multiple automobile brands, judges that the number for the automobile brand that user is in the most contact is compared and connect
Whether the number of the automobile brand of touching more than second is greater than preset proportion threshold value, and the preference product of user are determined according to judging result
Board.
Specifically, for each user, statistical result is that the user contacts with multiple automobile brands, then by the user
It is compared with the frequency of exposure for the automobile brand being in the most contact with the frequency of exposure for contacting the automobile brand more than second, judgement connects
Touch ratio of the number more than the number for contacting more than second automobile brand of most automobile brand, if be greater than preset
Proportion threshold value.
For example, the frequency of exposure of user and the automobile brand being in the most contact is 100 times, preset proportion threshold value is 50%;
If user is 50 times with the frequency of exposure for contacting the automobile brand more than second, the number for contacting most automobile brand is more than
The ratio for contacting the number of more than second automobile brand is (100-50) × 100%/50=100%, is greater than preset ratio
Threshold value;If user is 80 times with the frequency of exposure for contacting the automobile brand more than second, time of most automobile brand is contacted
Number is (100-80) × 100%/80=25% more than the ratio for the number for contacting more than second automobile brand, is less than preset
Proportion threshold value.
It should be noted that preset proportion threshold value can be arranged according to the actual situation, the embodiment of the present invention does not make this
Concrete restriction.
It is more than the ratio for contacting the number of more than second automobile brand according to the number for contacting most automobile brand,
It may determine that user is to connect to the interest level of the automobile brand being in the most contact and the automobile brand of the contact more than second
Closely still differ larger, to determine the preference brand of user using predetermined determination strategy according to judging result.
The embodiment of the present invention contacts the number of each automobile brand according to user in objective time interval, determines the preference product of user
Board can obtain the determination of the preference brand of more accurate user as a result, can more accurately reflect user to each vapour so as to obtain
The conversational nature of the preference of vehicle brand, and then can be based on the purchase more accurate potential user group of vehicle characteristic behavior information acquisition.
Content based on the various embodiments described above, the specific steps for determining the preference brand of user according to judging result include:
If judging result is greater than the automobile brand that user is in the most contact is determined as the preference brand of user.
Specifically, if user contacts the number of most automobile brand more than time for contacting more than second automobile brand
Several ratios is greater than preset proportion threshold value, illustrates the interest level for the automobile brand being in the most contact to this, much larger than to this
Therefore the automobile brand that the user is in the most contact is determined as user's by the interest level of the automobile brand of contact more than second
Preference brand.
If judging result is less than or equal to according to linear analogue algorithm acquisition user and each automobile brand frequency of exposure
Variation coefficient.
If user contacts ratio of the number more than the number for contacting more than second automobile brand of most automobile brand
Example is less than or equal to preset proportion threshold value, illustrate the interest level for the automobile brand being in the most contact to this and to the contact the
Relatively, the automobile brand that directly user cannot be in the most contact is determined as user to the interest level of automobile brand more than two
Preference brand, and compare the variation coefficient of user Yu each automobile brand frequency of exposure.
The variation coefficient of user and each automobile brand frequency of exposure can be returned according to linear analogue algorithm using linear
Return slope S LOPE calculation formula to calculate to obtain.
If the maximum value of the variation coefficient of frequency of exposure is greater than preset coefficient threshold, by the corresponding automobile product of maximum value
Board is determined as the preference brand of user.
Specifically, preset coefficient threshold can be arranged according to the actual situation, and the embodiment of the present invention does not limit this specifically
System.
For example, coefficient threshold can be 0.6, if the variation coefficient of the highest automobile brand of the variation coefficient of frequency of exposure is
0.7, then the automobile brand is determined as to the preference brand of user.
If the maximum value of the variation coefficient of frequency of exposure is less than or equal to preset coefficient threshold, user is in the most contact
Automobile brand be determined as the preference brand of user.
Specifically, the variation coefficient of frequency of exposure is greater than the automobile brand of preset coefficient threshold if it does not exist, then will be away from
The brand that a unit time period nearest from the statistical unit period is in the most contact is determined as the preference brand of user.
It should be noted that unit time period can be one month or one week etc., the embodiment of the present invention does not limit this specifically
System.
The embodiment of the present invention determines the preference product of user according to the variation coefficient of user and each automobile brand frequency of exposure
Board can obtain the determination of the preference brand of more accurate user as a result, can more accurately reflect user to each vapour so as to obtain
The conversational nature of the preference of vehicle brand, and then can be based on the purchase more accurate potential user group of vehicle characteristic behavior information acquisition.
It is each to obtain objective time interval according to the basic telecom service data of objective time interval for content based on the various embodiments described above
The specific steps of the location track feature of user include: the mobile signaling protocol data according to objective time interval telecommunications industry, obtain target
The permanent position of period each user.
Specifically, data parsing carried out to the signaling data in the basic telecom service data of objective time interval, crawled and mould
Quasi- expertise analysis, available permanent residence basic information.To permanent residence basic information carry out index processing, can process and
Each index field of the location track feature of derivative user.
Objective time interval is divided into working hour and rest period, according to mobile signaling protocol data, precipitates user by unit time period
In the duration that each base station stops, and then polygon gravity model appoach is used, establishes model according to user when each base station stops
The long permanent position for obtaining user.
The permanent position of user may include the permanent position (referring to longitude and latitude) and ownership city of user.
Working hour and rest period can divide according to the actual situation, and the embodiment of the present invention is not specifically limited this.
For example, 9:00 to 17:00 in afternoon in morning is divided into working hour, morning 0:00 to 6:00 is divided into the rest period in morning,
Remaining time, (morning 6:00 to 9:00 in morning and 17:00 to evening 24:00) in afternoon were other periods.
Remove the user of the shop 4S periphery work (daytime is permanent) and inhabitation (night is permanent) according to the permanent position of user.
For each user, according to the permanent position of objective time interval user, extract user to shop number, to shop number of days,
The stay time that be averaged to the shop shop 4S brand, to shop and arrive the shop shop 4S grade, location track feature as user.
It specifically, can be to permanent ground foundation for the user that work is not lived on the shop 4S periphery yet on the shop 4S periphery
Information carries out technology parsing, extracts the location track feature of each user.Location track feature may include following field: use
Family to shop number, to shop number of days, to the shop shop 4S brand, to shop be averaged stay time and arrive the shop shop 4S grade.
The embodiment of the present invention is based on carrying out comprehensive consideration using dimensions such as time, access times, Long-term change trends, obtains user
The purchase vehicle characteristic behavior information such as location track feature, can more accurately reflect user to the preference of each automobile brand, from
And it can be based on the purchase more accurate potential user group of vehicle characteristic behavior information acquisition.
Content based on the various embodiments described above, according to the mobile signaling protocol data of objective time interval telecommunications industry, when obtaining target
The specific steps of the permanent position of each user of section include: for each user, according to the mobile signaling protocol of objective time interval telecommunications industry
Data obtain the working hour in objective time interval, the base station that user passes through and the stay time in each base station.
Specifically, signaling data is sorted in chronological order, a upper record is subtracted at the beginning of being recorded with next
At the beginning of, the stay time of the base station recorded as upper one.The stay time of same base station is added up, is obtained every
The stay time of one base station.
The longitude and latitude for the base station passed through according to the working hour user in objective time interval and stay time in each base station,
Obtain the longitude and latitude of user job period, the permanent position as user.
Specifically, using user the stay time of each base station duration accounting as weight, to the longitude and latitude of each base station
It is weighted summation, using the result of weighted sum as the longitude and latitude of user job period, i.e., as the permanent position of user.
For example, the base station that user passes through is respectively A, B, C, D, E, stay time is respectively as follows: 3,5,10,120,4.When then total
A length of 3+5+10+120+4=142, unit are the second;Each base station stay time accounting is respectively as follows: 3/142,5/142,10/142,
120/142,4/142;The longitude and latitude of each base station is weighted, the longitude and latitude of user job period is obtained,
The latitude lat=of user
3/142*latA+5/142*latB+10/142*latC+120/142*latD+4/142*latE
The longitude lon=of user
3/142*lonA+5/142*lonB+10/142*lonC+120/142*lonD+4/142*lonE
Wherein, latA, latB, latC, latD, latE are respectively the latitude of base station A, B, C, D, E, lonA, lonB,
LonC, lonD, lonE are respectively the longitude of base station A, B, C, D, E.
Through the above steps, the permanent position for obtaining user is (lon, lat).
The calculating of user's permanent residence is typically based on the base station location of stop at most in the past to position, and base station density can be to knot
Fruit has larger impact, causes error larger.The embodiment of the present invention uses polygon gravity model appoach, effectively evades base station density to result
Influence, improve the precision of user's permanent residence calculated result.
The embodiment of the present invention obtains the permanent position of user by distinguishing working hour and rest period, can exclude to rest,
Work, the influence lived obtain the purchase vehicle characteristic behavior information such as location track feature of more accurate user, can be more accurately anti-
User is reflected to the preference of each automobile brand, so as to based on the purchase more accurate target user of vehicle characteristic behavior information acquisition
Group.
Content based on the various embodiments described above, export each automobile brand of objective time interval target user after, further includes: it is right
In the target user of any automobile brand, according to the permanent position in the geographical location in each shop 4S of automobile brand and each target user,
Determine the target user in the shop automobile brand every 4S.
Specifically, after the target user for obtaining each automobile brand of objective time interval, the target of any automobile brand is used
Family, according to this city nearby principle of the permanent position of user, preferentially by the user be determined as in the user attaching city with
The target user in the shop 4S of the nearest automobile brand in the permanent position of the user, pushes to the shop 4S for the information of the user.
If the shop 4S of the automobile brand is not present in the user attaching city, which is determined as provincial capital at random
The information of the user is pushed to the shop 4S by the target user in a certain shop 4S of the interior automobile brand.
In order to avoid target user is bothered in excessive marketing, user is not repeated to send to the same shop 4S in short term, and
The maximum times of the information push of the same target user are limited.
It is in short term the preset time limit, can be arranged according to the actual situation, such as one month or one week, the embodiment of the present invention pair
This is not specifically limited.
For example, the target user of each automobile brand can per diem be determined, short-term is one week, determines that user A is brand B today
The target user of (specially 4S shop C), and the information of user A is pushed into the shop 4S C;If still by user in one week from today
A is determined as the target user of the shop 4S C, then the information of user A is no longer pushed to the shop 4S C in this week;If from today after a week
User A is still determined as to the target user of the shop 4S C, then the information of user A is pushed into the shop 4S C again.
The maximum times of the information push of the same target user can be arranged according to the actual situation, the embodiment of the present invention
This is not specifically limited.
The embodiment of the present invention determines vapour according to the geographical location in each shop 4S of automobile brand and the permanent position of each target user
The target user in the shop vehicle brand every 4S can obtain the target user in more accurate each shop 4S, and facilitating each shop 4S is more had
It targetedly markets, saves cost of marketing.
Fig. 2 is the structural schematic diagram according to the determining device of automobile brand target user provided in an embodiment of the present invention.Base
In the content of the various embodiments described above, as shown in Fig. 2, the device includes characteristic extracting module 201 and target determination module 202,
In:
Characteristic extracting module 201 obtains each user of objective time interval for the basic telecom service data according to objective time interval
Purchase vehicle characteristic behavior information;
Target determination module 202, for by the purchase vehicle characteristic behavior information input of each user of objective time interval to target user
Decision model exports the target user of each automobile brand of objective time interval;
Wherein, purchase vehicle characteristic behavior information includes conversational nature, the use feature of car information class application program, automobile enterprise
At least one of the access feature of industry website, the search characteristics of vehicle key word and location track feature;Target user's decision
Model is whether to buy automobile brand according to the purchase vehicle characteristic behavior information of each user of historical period and historical period user
What automobile obtained after being trained.
Specifically, according to the basic telecom service data of objective time interval, characteristic extracting module 201 can pass through each from user
Kind terminal (such as smart phone, tablet computer and PC) is conversed, using application program (APP, Application)
Car information is obtained, car information is obtained using search engine and accesses Automobile Enterprises website angularly using browser, is obtained
The conversational nature of user, car information class application program use feature, the access feature of Automobile Enterprises website and vehicle key
The search characteristics of word can also obtain the position that user uses various terminals.
The position of various terminals is used according to user, characteristic extracting module 201 may determine that whether user arrives the shop 4S, from
And the location track feature of user can be extracted.
Target determination module 202 is by the purchase vehicle characteristic behavior information input of each user of objective time interval to target user's decision model
Type exports the target user of each automobile brand of objective time interval.
The determining device of automobile brand target user provided in an embodiment of the present invention, for executing the above-mentioned each implementation of the present invention
The determination method for the automobile brand target user that example provides, each module that the determining device of automobile brand target user includes are real
The specific method and process of existing corresponding function are detailed in the embodiment of the determination method of above-mentioned automobile brand target user, herein no longer
It repeats.
Determination of the determining device of automobile brand target user for the automobile brand target user of foregoing embodiments
Method.Therefore, the description and definition in the determination method of the automobile brand target user in foregoing embodiments, can be used for
The understanding of each execution module in the embodiment of the present invention.
The embodiment of the present invention obtains the purchase of each user of objective time interval by the basic telecom service data according to objective time interval
Vehicle characteristic behavior information, by the purchase vehicle characteristic behavior information input of each user of objective time interval to target user's decision model, output
The target user of each automobile brand of objective time interval is based on telecommunications industry big data advantage, provides in conjunction with data abundant on internet
Source can obtain the target user of more accurate each automobile brand, facilitate automobile sales corporation and carry out more targeted marketing,
Save cost of marketing.
Fig. 3 is the structural block diagram according to electronic equipment provided in an embodiment of the present invention.Content based on the above embodiment, such as
Shown in Fig. 3, which may include: processor (processor) 301, memory (memory) 302 and bus 303;Its
In, processor 301 and memory 302 pass through bus 303 and complete mutual communication;Processor 301 is stored in for calling
In reservoir 302 and the computer program instructions that can be run on processor 301, to execute provided by above-mentioned each method embodiment
The determination method of automobile brand target user, for example, according to the basic telecom service data of objective time interval, when obtaining target
The purchase vehicle characteristic behavior information of each user of section;The purchase vehicle characteristic behavior information input of each user of objective time interval to target user is determined
Plan model exports the target user of each automobile brand of objective time interval;Wherein, purchase vehicle characteristic behavior information includes conversational nature, vapour
Vehicle information class application program uses feature, the access feature of Automobile Enterprises website, the search characteristics of vehicle key word and position
At least one of track characteristic;Target user's decision model be according to the purchase vehicle characteristic behavior information of each user of historical period with
And historical period user whether buy automobile brand automobile be trained after obtain.
Another embodiment of the present invention discloses a kind of computer program product, and computer program product is non-transient including being stored in
Computer program on computer readable storage medium, computer program include program instruction, when program instruction is held by computer
When row, computer is able to carry out the determination method of automobile brand target user provided by above-mentioned each method embodiment, such as wraps
It includes: according to the basic telecom service data of objective time interval, obtaining the purchase vehicle characteristic behavior information of each user of objective time interval;By target
The purchase vehicle characteristic behavior information input of period each user exports the mesh of each automobile brand of objective time interval to target user's decision model
Mark user;Wherein, purchase vehicle characteristic behavior information includes conversational nature, the use feature of car information class application program, automobile enterprise
At least one of the access feature of industry website, the search characteristics of vehicle key word and location track feature;Target user's decision
Model is whether to buy automobile brand according to the purchase vehicle characteristic behavior information of each user of historical period and historical period user
What automobile obtained after being trained.
In addition, the logical order in above-mentioned memory 302 can be realized by way of SFU software functional unit and conduct
Independent product when selling or using, can store in a computer readable storage medium.Based on this understanding, originally
The technical solution of the inventive embodiments substantially part of the part that contributes to existing technology or the technical solution in other words
It can be embodied in the form of software products, which is stored in a storage medium, including several fingers
It enables and using so that a computer equipment (can be personal computer, server or the network equipment etc.) executes the present invention respectively
The all or part of the steps of a embodiment method.And storage medium above-mentioned includes: USB flash disk, mobile hard disk, read-only memory
(ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic or disk
Etc. the various media that can store program code.
Another embodiment of the present invention provides a kind of non-transient computer readable storage medium, non-transient computer readable storages
Medium storing computer instruction, computer instruction make computer execute automobile brand target provided by above-mentioned each method embodiment
The determination method of user, for example, according to the basic telecom service data of objective time interval, obtain the purchase of each user of objective time interval
Vehicle characteristic behavior information;By the purchase vehicle characteristic behavior information input of each user of objective time interval to target user's decision model, output
The target user of each automobile brand of objective time interval;Wherein, purchase vehicle characteristic behavior information includes conversational nature, car information class application
Program using feature, the access feature of Automobile Enterprises website, vehicle key word search characteristics and location track feature in
It is at least one;Target user's decision model is used according to the purchase vehicle characteristic behavior information and historical period of each user of historical period
What the automobile whether family buys automobile brand obtained after being trained.
The apparatus embodiments described above are merely exemplary, wherein unit can be as illustrated by the separation member
Or may not be and be physically separated, component shown as a unit may or may not be physical unit, i.e.,
It can be located in one place, or may be distributed over multiple network units.It can select according to the actual needs therein
Some or all of the modules achieves the purpose of the solution of this embodiment.Those of ordinary skill in the art are not paying creative labor
In the case where dynamic, it can understand and implement.
Through the above description of the embodiments, those skilled in the art can be understood that each embodiment can
It realizes by means of software and necessary general hardware platform, naturally it is also possible to pass through hardware.Such understanding, above-mentioned skill
Substantially the part that contributes to existing technology can be embodied in the form of software products art scheme in other words, the calculating
Machine software product may be stored in a computer readable storage medium, such as ROM/RAM, magnetic disk, CD, including some instructions are used
So that a computer equipment (can be personal computer, server or the network equipment etc.) executes above-mentioned each implementation
The method of certain parts of example or embodiment.
Finally, it should be noted that the above embodiments are merely illustrative of the technical solutions of the present invention, rather than its limitations;Although
Present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that: it still may be used
To modify the technical solutions described in the foregoing embodiments or equivalent replacement of some of the technical features;
And these are modified or replaceed, technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution spirit and
Range.
Claims (10)
1. a kind of determination method of automobile brand target user characterized by comprising
According to the basic telecom service data of objective time interval, the purchase vehicle characteristic behavior information of each user of objective time interval is obtained;
By the purchase vehicle characteristic behavior information input of each user of the objective time interval to target user's decision model, the target is exported
The target user of period each automobile brand;
Wherein, the purchase vehicle characteristic behavior information includes conversational nature, the use feature of car information class application program, automobile enterprise
At least one of the access feature of industry website, the search characteristics of vehicle key word and location track feature;The target user
Decision model is whether to buy automobile product according to the purchase vehicle characteristic behavior information of each user of historical period and historical period user
What the automobile of board obtained after being trained.
2. the determination method of automobile brand target user according to claim 1, which is characterized in that according to objective time interval
Basic telecom service data, the specific steps for obtaining the conversational nature of each user of objective time interval include:
According to the telephone number of the call detailed list of objective time interval telecommunications industry and each shop 4S of each automobile brand, each user is extracted
With the average call duration in the shop 4S, caller/called, whether 400 numbers, talk times, call number of days, the call shop 4S number, logical
Talk about 4 S auto shop brand and preference brand, the conversational nature as the user.
3. the determination method of automobile brand target user according to claim 2, which is characterized in that according to objective time interval electricity
Believe the call detailed list of industry and the telephone number in each shop 4S of each automobile brand, extracts the specific step of the preference brand of each user
Suddenly include:
For each user, according to the phone number of the call detailed list of objective time interval telecommunications industry and each shop 4S of each automobile brand
Code, obtains the number that the user contacts with each automobile brand;
If the user only contacts with an automobile brand, the automobile brand is determined as to the preference product of the user
Board;
If the user contacts with multiple automobile brands, the number phase for the automobile brand that the user is in the most contact is judged
Whether the number than the automobile brand of contact more than second is greater than preset proportion threshold value, determines the user's according to judging result
Preference brand.
4. the determination method of automobile brand target user according to claim 3, which is characterized in that described to be tied according to judgement
Fruit determines that the specific steps of the preference brand of the user include:
If judging result is greater than the automobile brand that the user is in the most contact to be determined as to the preference brand of the user;
If judging result is less than or equal to according to the linear analogue algorithm acquisition user and each automobile brand frequency of exposure
Variation coefficient;
If the maximum value of the variation coefficient of frequency of exposure is greater than preset coefficient threshold, by the corresponding automobile product of the maximum value
Board is determined as the preference brand of the user;
If the maximum value of the variation coefficient of frequency of exposure is not greater than preset coefficient threshold, the vapour that the user is in the most contact
Vehicle brand is determined as the preference brand of the user.
5. the determination method of automobile brand target user according to claim 1, which is characterized in that according to objective time interval
Basic telecom service data, the specific steps for obtaining the location track feature of each user of objective time interval include:
According to the mobile signaling protocol data of objective time interval telecommunications industry, the permanent position of each user of objective time interval is obtained;
For each user, the permanent position of the user according to objective time interval, extract the user to shop number, arrive
Shop number of days, the stay time that is averaged to the shop shop 4S brand, to shop and the location track spy to the shop shop 4S grade, as the user
Sign.
6. the determination method of automobile brand target user according to claim 5, which is characterized in that it is described according to target when
The mobile signaling protocol data of section telecommunications industry, the specific steps for obtaining the permanent position of each user of objective time interval include:
The work in objective time interval is obtained according to the mobile signaling protocol data of objective time interval telecommunications industry for each user
Period, the base station that the user passes through and the stay time in each base station;
The longitude and latitude for the base station that the user according to the working hour in objective time interval passes through and stop in each base station
Duration obtains the longitude and latitude of the user job period, the permanent position as the user.
7. the determination method of automobile brand target user according to claim 5 or 6, which is characterized in that the output institute
After the target user for stating each automobile brand of objective time interval, further includes:
For the target user of any automobile brand, according to the geographical location in each shop 4S of the automobile brand and each target user
Permanent position determines the target user in the shop the automobile brand every 4S.
8. a kind of determining device of automobile brand target user characterized by comprising
Characteristic extracting module obtains the purchase vehicle of each user of objective time interval for the basic telecom service data according to objective time interval
Characteristic behavior information;
Target determination module, for by the purchase vehicle characteristic behavior information input of each user of the objective time interval to target user's decision
Model exports the target user of each automobile brand of the objective time interval;
Wherein, the purchase vehicle characteristic behavior information includes conversational nature, the use feature of car information class application program, automobile enterprise
At least one of the access feature of industry website, the search characteristics of vehicle key word and location track feature;The target user
Decision model is whether to buy automobile product according to the purchase vehicle characteristic behavior information of each user of historical period and historical period user
What the automobile of board obtained after being trained.
9. a kind of electronic equipment including memory, processor and stores the calculating that can be run on a memory and on a processor
Machine program, which is characterized in that the processor realizes automobile as described in any one of claim 1 to 7 when executing described program
The step of determination method of brand target user.
10. a kind of non-transient computer readable storage medium, is stored thereon with computer program, which is characterized in that the computer
The determination method of automobile brand target user as described in any one of claim 1 to 7 is realized when program is executed by processor
Step.
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110956503A (en) * | 2019-11-29 | 2020-04-03 | 上海观安信息技术股份有限公司 | User identification method and device with loan demand based on user network behavior |
CN112837083A (en) * | 2019-11-25 | 2021-05-25 | 浙江大搜车软件技术有限公司 | User behavior data processing method and device, computer equipment and storage medium |
CN113592551A (en) * | 2021-07-31 | 2021-11-02 | 广州小鹏汽车科技有限公司 | Method, device and equipment for analyzing and processing behavior data of vehicle purchasing user |
CN114638661A (en) * | 2022-05-20 | 2022-06-17 | 深圳联友科技有限公司 | Method for recognizing purchase-adding willingness based on vehicle-to-store frequency |
CN116962971A (en) * | 2023-07-11 | 2023-10-27 | 重庆大学 | Terminal signaling-based automobile industry user portrait construction method and device |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN106211326A (en) * | 2016-08-31 | 2016-12-07 | 四川亨通网智科技有限公司 | A kind of comprehensive Precision Orientation Algorithm based on LTE MR data |
US20180204244A1 (en) * | 2012-08-15 | 2018-07-19 | autoGraph, Inc. | Reverse brand sorting tools for interest-graph driven personalization |
CN108665355A (en) * | 2018-05-18 | 2018-10-16 | 深圳壹账通智能科技有限公司 | Financial product recommends method, apparatus, equipment and computer storage media |
CN109359246A (en) * | 2018-12-07 | 2019-02-19 | 上海宏原信息科技有限公司 | A kind of brand cohesion calculation method based on forum user speech |
CN109493101A (en) * | 2017-09-11 | 2019-03-19 | 北京京东尚科信息技术有限公司 | Target brand message determines method, apparatus, electronic equipment and storage medium |
CN109993566A (en) * | 2018-01-03 | 2019-07-09 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus for predicting product objective data |
-
2019
- 2019-08-01 CN CN201910707348.7A patent/CN110490646A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180204244A1 (en) * | 2012-08-15 | 2018-07-19 | autoGraph, Inc. | Reverse brand sorting tools for interest-graph driven personalization |
CN106211326A (en) * | 2016-08-31 | 2016-12-07 | 四川亨通网智科技有限公司 | A kind of comprehensive Precision Orientation Algorithm based on LTE MR data |
CN109493101A (en) * | 2017-09-11 | 2019-03-19 | 北京京东尚科信息技术有限公司 | Target brand message determines method, apparatus, electronic equipment and storage medium |
CN109993566A (en) * | 2018-01-03 | 2019-07-09 | 北京京东尚科信息技术有限公司 | A kind of method and apparatus for predicting product objective data |
CN108665355A (en) * | 2018-05-18 | 2018-10-16 | 深圳壹账通智能科技有限公司 | Financial product recommends method, apparatus, equipment and computer storage media |
CN109359246A (en) * | 2018-12-07 | 2019-02-19 | 上海宏原信息科技有限公司 | A kind of brand cohesion calculation method based on forum user speech |
Non-Patent Citations (1)
Title |
---|
陈岩著: "无线传感器网络技术及在煤矿安全监控中的应用", 《无线传感器网络技术及在煤矿安全监控中的应用》 * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112837083A (en) * | 2019-11-25 | 2021-05-25 | 浙江大搜车软件技术有限公司 | User behavior data processing method and device, computer equipment and storage medium |
CN110956503A (en) * | 2019-11-29 | 2020-04-03 | 上海观安信息技术股份有限公司 | User identification method and device with loan demand based on user network behavior |
CN110956503B (en) * | 2019-11-29 | 2024-02-23 | 上海观安信息技术股份有限公司 | User identification method and device with lending requirements based on user network behaviors |
CN113592551A (en) * | 2021-07-31 | 2021-11-02 | 广州小鹏汽车科技有限公司 | Method, device and equipment for analyzing and processing behavior data of vehicle purchasing user |
CN114638661A (en) * | 2022-05-20 | 2022-06-17 | 深圳联友科技有限公司 | Method for recognizing purchase-adding willingness based on vehicle-to-store frequency |
CN116962971A (en) * | 2023-07-11 | 2023-10-27 | 重庆大学 | Terminal signaling-based automobile industry user portrait construction method and device |
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