CN107274216A - Recognition methods, device, computer-readable medium and the system of social property - Google Patents
Recognition methods, device, computer-readable medium and the system of social property Download PDFInfo
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- CN107274216A CN107274216A CN201710395645.3A CN201710395645A CN107274216A CN 107274216 A CN107274216 A CN 107274216A CN 201710395645 A CN201710395645 A CN 201710395645A CN 107274216 A CN107274216 A CN 107274216A
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Abstract
A kind of recognition methods of social property, device, computer-readable medium and system, the recognition methods include：Consumption data is obtained, according to the corresponding attribution rule of default social property, the social property to holder in the consumption data is identified.Using such scheme, the consumption data based on holder, the social property to holder is identified, and can improve the accuracy rate of social property identification.
Description
Technical field
The present embodiments relate to data processing field, more particularly to a kind of recognition methods of social property, device, calculating
Machine computer-readable recording medium and system.
Background technology
The social property of holder has very important significance for internet business, for example, trade company can be for not
Social property with holder provides different solutions, is held Man's Demands so as to meet difference.And can only be based at present
The statistics such as the cardholder information that trade company retains simply are recognized there is social property knowledge to the social property of holder
The problem of other accuracy rate is low.
The content of the invention
The technical problem that the embodiment of the present invention is solved is the accuracy rate for how lifting the identification of holder's social property.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of recognition methods of holder's social property, it is described
Method includes：Obtain consumption data；According to the corresponding attribution rule of default social property, to holder in the consumption data
Social property be identified.
Alternatively, it is described according to the corresponding attribution rule of default social property, to holder in the consumption data
Social property be identified including：Based on default data cleansing algorithm, the consumption data is filtered, obtained default
The corresponding consumption data of social property；According to the corresponding attribution rule of default social property, to the default social property
The social property of holder is identified in corresponding consumption data.
Alternatively, it is described to be based on default data cleansing algorithm, the consumption data is filtered, default society is obtained
The corresponding consumption data of meeting attribute, including：Determine the corresponding merchant information keyword of default social property；Based on the trade company
Information keys carry out first time filtering to the consumption data, only retain and the merchant information keyword is included in name of firm
The corresponding consumption data of trade company；Consumption data after being filtered based on first time, calculates the corresponding single consumption valency of all trade companies
The mean μ and standard deviation sigma of lattice, and it is as follows to define confidential interval：[min(μ-σ*λ1,μ0),μ+σ*λ2], wherein μ0For default society
Can the corresponding minimum mean of attribute, λ1For the corresponding first standard deviation fine setting coefficient of default social property, λ2For default society
The corresponding second standard deviation fine setting coefficient of attribute；Consumption data after being filtered based on the confidential interval and to first time carries out the
Secondary filter, only retains total consumption number of times trade company's consumption total degree thresholding corresponding more than default social property, and single
The average bits of consumption price disappear in the corresponding consumption data of trade company in confidential interval as default social property is corresponding
Take data.
Alternatively, the default social property includes following at least one：Ready-to-be mother's attribute, housewife's attribute, nothing
Industry high consumption crowd attribute, prepare marriage crowd attribute, have intention marriage crowd attribute, children father and mother's attribute, teenager father and mother
Attribute.
Alternatively, ready-to-be mother's attribute includes：The expected date of childbirth sub- attribute of ready-to-be mother.
Alternatively, it is described according to the corresponding attribution rule of default social property, to the default social property correspondence
Consumption data in the social property of holder be identified, including：, will first based on the corresponding consumption data of ready-to-be mother's attribute
Consumption time postpones the time of default ready-to-be mother's expected date of childbirth, is used as the expected date of childbirth of ready-to-be mother sub- attribute.
Alternatively, it is described according to the corresponding attribution rule of default social property, to the default social property correspondence
Consumption data in the social property of holder be identified, including：Based on the corresponding consumption number of the default social property
According to the consumption total degree for calculating each holder；Consumption total degree is disappeared more than or equal to the corresponding holder of default social property
The holder of expense total degree thresholding is identified as the crowd with the default social property.
Alternatively, it is described according to the corresponding attribution rule of default social property, to the default social property correspondence
Consumption data in the social property of holder be identified, including：Based on the corresponding consumption number of the default social property
According to calculating every consumption total degree for being stuck under different classes of trade company；If consumption total degree under any sort trade company is more than etc.
Total degree thresholding is consumed in the holder of such trade company of default social property correspondence, then its corresponding holder is designated tool
There is the crowd of the social property.
Alternatively, it is described according to the corresponding attribution rule of default social property, to the default social property correspondence
Consumption data in the social property of holder be identified, including：Based on the corresponding consumption number of the default social property
According to the maximum for consumption total degree, consumption total amount and the single spending amount for calculating each holder；Total degree will be consumed big
Total degree thresholding is consumed in holder corresponding equal to default social property and consumption total amount is more than or equal to default society
The corresponding holder of attribute consumes total amount thresholding, while the maximum of single spending amount is more than or equal to default social property
The holder of corresponding holder's single spending amount thresholding is identified as the crowd with the social property.
Alternatively, it is described according to the corresponding attribution rule of default social property, to the default social property correspondence
Consumption data in the social property of holder be identified, including：Based on the corresponding consumption number of the default social property
According to the maximum for the single spending amount for calculating each holder；The maximum of single spending amount is more than default society's category
The holder of the corresponding holder's single spending amount thresholding of property is identified as the crowd with the social property.
Alternatively, it is described according to the corresponding attribution rule of default social property, to holder in the consumption data
Social property is identified, including：Consumption number of times of each holder in different cities are calculated based on the consumption data；It will disappear
Take the most city of number of times as the resident city of holder.
In order to solve the above technical problems, the embodiment of the present invention also provides a kind of identifying device of social property, including：Obtain
Unit, suitable for obtaining consumption data；Recognition unit, suitable for according to the corresponding attribution rule of default social property, disappearing to described
The social property of holder is identified in expense data.
Alternatively, the recognition unit includes：Subelement is filtered, suitable for based on default data cleansing algorithm, to described
Consumption data is filtered, and obtains the corresponding consumption data of default social property；Subelement is recognized, suitable for according to default society
Can the corresponding attribution rule of attribute, the social property of holder is carried out in consumption data corresponding to the default social property
Identification.
Alternatively, the filtering subelement includes：Keyword determining module, is adapted to determine that default social property is corresponding
Merchant information keyword；First filtering module, suitable for carrying out first to the consumption data based on the merchant information keyword
Secondary filtering, only retains the corresponding consumption data of trade company for including the merchant information keyword in name of firm；First calculates mould
Block, suitable for based on the consumption data after first time filtering, calculating the mean μ and standard of the corresponding single consumption price of all trade companies
Poor σ, and it is as follows to define confidential interval：[min(μ-σ*λ1,μ0),μ+σ*λ2], wherein μ0It is corresponding most for default social property
Small average, λ1For the corresponding first standard deviation fine setting coefficient of default social property, λ2For default social property corresponding second
Standard deviation finely tunes coefficient；Second filtering module, is entered suitable for the consumption data after being filtered based on the confidential interval and to first time
Second of filtering of row, only retains total consumption number of times trade company's consumption total degree thresholding corresponding more than default social property, and
The average bits of single consumption price are used as default social property correspondence in the corresponding consumption data of trade company in confidential interval
Consumption data.
Alternatively, the default social property includes following at least one：Ready-to-be mother's attribute, housewife's attribute, nothing
Industry high consumption crowd attribute, prepare marriage crowd attribute, have intention marriage crowd attribute, children father and mother's attribute, teenager father and mother
Attribute.
Alternatively, ready-to-be mother's attribute includes：The expected date of childbirth sub- attribute of ready-to-be mother.
Alternatively, the identification subelement includes：Mark module, suitable for based on the corresponding consumption data of ready-to-be mother's attribute,
By the time of First Consumption time retardation default ready-to-be mother's expected date of childbirth, the expected date of childbirth of ready-to-be mother sub- attribute is used as.
Alternatively, the identification subelement, including：Second computing module, suitable for based on the default social property pair
The consumption data answered calculates the consumption total degree of each holder；First identification module, suitable for consumption total degree is more than or equal to
The holder of the corresponding holder's consumption total degree thresholding of default social property is identified as with the default social property
Crowd.
Alternatively, the identification subelement, including：3rd computing module, suitable for based on the default social property pair
The consumption data answered calculates the every consumption being stuck under different classes of trade company total degree；Second identification module, if suitable for appointing
Consumption total degree under one class trade company is more than or equal to holder's consumption total degree door of such trade company of default social property correspondence
Limit, then be designated the crowd with the social property by its corresponding holder.
Alternatively, the identification subelement, including：4th computing module, suitable for based on the default social property pair
The consumption data answered calculates the maximum of consumption total degree, consumption total amount and the single spending amount of each holder；3rd
Identification module, suitable for will consumption total degree be more than or equal to default social property corresponding holder consumption total degree thresholding and
Consume total amount and be more than or equal to default social property corresponding holder consumption total amount thresholding, while single spending amount
The holder that maximum is more than or equal to the corresponding holder's single spending amount thresholding of default social property is identified as with institute
State the crowd of social property.
Alternatively, the identification subelement includes：5th computing module, suitable for based on the default social property correspondence
Consumption data calculate each holder single spending amount maximum；4th identification module, suitable for single is consumed into gold
The holder that the maximum of volume is more than the corresponding holder's single spending amount thresholding of default social property is identified as with institute
State the crowd of social property.
Alternatively, the recognition unit includes：Computation subunit, suitable for calculating each holder based on the consumption data
Consumption number of times in different cities；Subelement is identified, suitable for regarding the most city of consumption number of times as the resident city of holder.
In order to solve the above technical problems, the embodiment of the present invention provides a kind of computer-readable medium again, meter is stored thereon with
Calculation machine is instructed, and step corresponding to any of the above-described methods described is performed during the computer instruction operation.
In order to solve the above technical problems, the embodiment of the present invention provides the identifying system of another social property, including storage
Be stored with the computer instruction that can be run on the processor on device and processor, the memory, the processor fortune
Step corresponding to any of the above-described methods described is performed during the row computer instruction.
Compared with prior art, the technical scheme of the embodiment of the present invention has the advantages that：
Because consumption data can reflect consumption habit of the holder under specific industry trade company, the consumption habit can be entered
One step reflects the social property feature of holder, so the consumption data based on holder, the social property to holder is carried out
Identification, can improve the accuracy rate of the social property identification of holder.
Further, before the social property of holder is identified based on consumption data, based on default data
Algorithm is cleaned, consumption data is filtered, on the one hand can obtain that the consumption number of default social property feature can be reflected
According to so as to improve the efficiency of the social property identification of holder；On the other hand the noise of consumption data can be reduced, it is to avoid due to
Social property identification mistake caused by consumption data fluctuation, so as to further improve the accurate of the social property identification of holder
Rate.
Brief description of the drawings
Fig. 1 is a kind of flow chart of the recognition methods of social property provided in an embodiment of the present invention；
Fig. 2 is a kind of flow chart of data cleaning method provided in an embodiment of the present invention；
Fig. 3 is a kind of schematic diagram of the identifying device of social property provided in an embodiment of the present invention.
Embodiment
The statistics such as the cardholder information that can only be retained at present based on trade company carry out simple to the social property of holder
Identification, there is the problem of social property recognition accuracy is low.
The transaction data (i.e. consumption data) of Unionpay can reflect consumption habit of the holder under trade company, the consumption habit
The social property feature of holder can further be reflected.For example, being more likely pregnancy in the people that healthcare hospital for women ＆ children consumes
Crowd, the crowd consumed in children's paradise is more likely the crowd for having child.So the embodiment of the present invention is based on holder's
Consumption data, the social property to holder is identified, and can improve the accuracy rate of the social property identification of holder.
It is understandable to enable above-mentioned purpose, feature and beneficial effect of the invention to become apparent, below in conjunction with the accompanying drawings to this
The specific embodiment of invention is described in detail.
Referring to Fig. 1, the embodiment of the present invention proposes a kind of recognition methods of social property, may include steps of：
S101, obtains consumption data.
S102, according to the corresponding attribution rule of default social property, belongs to the society of holder in the consumption data
Property is identified.
In specific implementation, the specific social property of holder can be identified as needed.
In an embodiment of the present invention, consumption of each holder in different cities can be calculated based on the consumption data
Number of times, regard the most city of consumption number of times as the resident city of holder.For example, certain holder is not in the consumption data
Consumption number of times with city are followed successively by：Consumption number of times in Shanghai are 10 times, and in Pekinese, consumption number of times are 1 time, in Guangzhou
Consumption number of times are 2 times, then regard Shanghai as the resident city of the holder.
In specific implementation, in order to further improve the efficiency and accuracy rate of social property identification, it can be based on default
Data cleansing algorithm, is filtered to the consumption data, the corresponding consumption data of default social property is obtained, according still further to pre-
If the corresponding attribution rule of social property, the society of holder belongs in consumption data corresponding to the default social property
Property is identified..
In an embodiment of the present invention, the default social property can include one or more of：Ready-to-be mother belongs to
Property, housewife's attribute, unemployed high consumption crowd attribute, prepare marriage crowd attribute, have intention marriage crowd attribute, children father
Female attribute, teenager father and mother's attribute.
, can be based on each holder's of the default corresponding consumption data calculating of social property in specific implementation
Consume total degree；Total degree will be consumed and be more than or equal to holding for the corresponding holder's consumption total degree thresholding of default social property
People is identified as the crowd with the default social property.For example, for ready-to-be mother's attribute, calculating ready-to-be mother's attribute corresponding
The consumption total degree of each holder in consumption data, consumption total degree is disappeared more than or equal to the corresponding holder of ready-to-be mother's attribute
The holder of expense total degree thresholding is identified as the crowd with ready-to-be mother's attribute.
In specific implementation, different consumption total degree thresholdings can be arranged as required to.
In an embodiment of the present invention, the corresponding holder's consumption total degree thresholding of default ready-to-be mother's attribute is set to 1,
The corresponding holder's consumption total degree thresholding of default housewife's attribute is set to 26, default to have intention marriage crowd's attribute
Corresponding holder consumption total degree thresholding is set to 1, the corresponding holder's consumption total degree of default teenager father and mother's attribute
Thresholding is set to 1.
,, can for default social property in order to further lift the accuracy rate of social property identification in specific implementation
To set different consumption total degree thresholdings further directed to different trade companies.Then every is calculated to be stuck under different classes of trade company
Consumption total degree, if consumption total degree under any sort trade company be more than or equal to default social property correspondence to be identified such
Holder's consumption total degree thresholding of trade company, then be designated the crowd with the social property by its corresponding holder.
For example, in an embodiment of the present invention, for default children father and mother's attribute, distinguishing parent-offspring's class trade company and mother and baby's class
Trade company, for parent-offspring's class trade company, holder's consumption total degree thresholding of the corresponding parent-offspring's class trade company of default children father and mother's attribute
For 1；For mother and baby's class trade company, holder's consumption total degree thresholding of the corresponding mother and baby's class trade company of default children father and mother's attribute is
6。
, can be based on each holder's of the default corresponding consumption data calculating of social property in specific implementation
Consume the maximum of total degree, consumption total amount and single spending amount；Consumption total degree is more than or equal to default society's category
Property corresponding holder consumption total degree thresholding and consumption total amount disappear more than or equal to the corresponding holder of default social property
Take total amount thresholding, while the maximum of single spending amount disappears more than or equal to the corresponding holder's single of default social property
The holder of expense amount of money thresholding is identified as the crowd with the social property.
For example, in an embodiment of the present invention, for unemployed high consumption crowd's attribute, default holder consumes total degree
Thresholding is 12, and default holder's consumption total amount thresholding is 18000RMB, and default holder's single spending amount thresholding is
8000RMB, calculates the consumption total degree of each holder based on the corresponding consumption data of the unemployed high consumption crowd attribute, disappears
Take the maximum of total amount and single spending amount, consumption total degree is more than or equal to 12, and consumption total amount is more than or equal to
18000RMB, while the holder that the maximum of single spending amount is more than or equal to 8000RMB is identified as having unemployed high consumption
The crowd of crowd's attribute.
, can be based on each holder's of the default corresponding consumption data calculating of social property in specific implementation
The maximum of single spending amount；The maximum of single spending amount is more than the corresponding holder's single of default social property
The holder of spending amount thresholding is identified as the crowd with the social property.
For example, in an embodiment of the present invention, for preparing marriage crowd's attribute, default holder's single spending amount
Thresholding is 1000RMB, and the single consumption of each holder is calculated based on the corresponding consumption data of preparation marriage crowd's attribute
The maximum of the amount of money, the holder that the maximum of single spending amount is more than 1000RMB is identified as have preparation marriage crowd
The crowd of attribute.
In specific implementation, ready-to-be mother's attribute can include：The expected date of childbirth sub- attribute of ready-to-be mother.
, can be default by First Consumption time retardation based on the corresponding consumption data of ready-to-be mother's attribute in specific implementation
The time of ready-to-be mother's expected date of childbirth, it is used as the expected date of childbirth of ready-to-be mother sub- attribute.
In an embodiment of the present invention, default ready-to-be mother's expected date of childbirth is 150 days.
Consumption data of the embodiment of the present invention based on holder, the social property to holder is identified, and can improve
The accuracy rate of the social property identification of holder.
As it was previously stated, in specific implementation, in order to further improve efficiency that the social property of holder recognizes and accurate
Rate, can be cleaned to the consumption data of acquisition.To more fully understand those skilled in the art and realizing the present invention, below
A kind of data cleaning method is discussed in detail by an embodiment.It is understood that in specific implementation, other can also be used
Data cleaning method, specific examples below is not construed as limiting the invention.
Referring to Fig. 2, a kind of data cleaning method provided in an embodiment of the present invention can include：
S201, determines the corresponding merchant information keyword of default social property.
In specific implementation, the corresponding merchant information keyword of ready-to-be mother's attribute can be：Healthcare hospital for women ＆ children, housewife
The corresponding merchant information keyword of attribute can be：Supermarket, preparing the corresponding merchant information keyword of marriage crowd's attribute can be with
For it is following at least one：Wedding gauze kerchief, wedding celebration or diamond, having intention the corresponding merchant information keyword of marriage crowd's attribute can be
Below at least one：Matchmaking service or love and marriage, the corresponding merchant information keyword of children father and mother's attribute can for it is following at least one：
Infant, mother and baby, child care, children's garment, parent-offspring, primary school or training organization, the corresponding merchant information of teenager father and mother's attribute are crucial
Word can for it is following at least one：Elementary school, secondary school or training organization.
S202, first time filtering is carried out based on the merchant information keyword to the consumption data, only retains trade company's name
The corresponding consumption data of trade company of the merchant information keyword is included in title.
By carrying out first time filtering to the consumption data, the corresponding consumption number of default social property can be obtained
According to so as to improve the efficiency of the social property identification of holder.
S203, the consumption data after being filtered based on first time calculates the mean μ of the corresponding single consumption price of all trade companies
And standard deviation sigma, and it is as follows to define confidential interval：min(μ-σ*λ1,μ0),μ+σ*λ2], wherein μ0For default social property correspondence
Minimum mean, λ1For the corresponding first standard deviation fine setting coefficient of default social property, λ2It is corresponding for default social property
Second standard deviation finely tunes coefficient.
In specific implementation, different μ can be arranged as required to0、λ1And λ2。
In an embodiment of the present invention, μ0For 10, λ1For 2, λ2For 2.5.
S204, the consumption data after being filtered based on the confidential interval to first time is carried out second and filtered, and only retains total
Consumption number of times be more than default social property corresponding trade company consumption total degree thresholding, and the average bits of single consumption price
In the corresponding consumption data of trade company in confidential interval, the corresponding consumption data of default social property is used as.
Filtered by carrying out second to the consumption data, the noise in the data that can effectively inhibit consumption, it is to avoid by
The social property identification mistake caused by consumption data fluctuation, so as to further improve the accurate of the social property identification of holder
Rate.
In specific implementation, different trade company's consumption total degree thresholdings can be arranged as required to, the thresholding sets too low,
The selected identification for participating in social property of abnormal trade company's sample may be caused to judge, so as to influence the accurate of social property identification
Rate；The thresholding sets too high, and qualified trade company's sample may be caused not to be selected the identification judgement for participating in social property, from
And the accuracy rate for influenceing social property to recognize.
In an embodiment of the present invention, the corresponding trade company's consumption total degree thresholding of default social property is 10.
Using above-mentioned data cleansing algorithm, consumption data is filtered, on the one hand can obtain reflecting default
The consumption data of social property feature, so as to improve the efficiency of the social property identification of holder；On the other hand, it is possible to reduce disappear
Take the noise of data, it is to avoid due to social property identification mistake caused by consumption data fluctuation, so as to further improve holder
Social property identification accuracy rate.
Can be real to more fully understand those skilled in the art and realizing to additionally provide in the present invention, the embodiment of the present invention
Device in existing above-described embodiment corresponding to the recognition methods of social property, is described in detail referring to the drawings.
Referring to Fig. 3, the embodiments of the invention provide a kind of identifying device 30 of social property, it can include：Acquiring unit
31 and recognition unit 32, wherein：
The acquiring unit 31 is suitable to obtain consumption data.
The recognition unit 32 is suitable to according to the corresponding attribution rule of default social property, to being held in the consumption data
The social property of card people is identified.
In specific implementation, the recognition unit 32 can include：Subelement 321 and identification subelement 322 are filtered, its
In：
Subelement 321 is filtered, suitable for based on default data cleansing algorithm, being filtered to the consumption data, is obtained
The corresponding consumption data of default social property.
Subelement 322 is recognized, suitable for according to the corresponding attribution rule of default social property, belonging to the default society
The social property of holder is identified in the corresponding consumption data of property.
In an embodiment of the present invention, the filtering subelement 321 can include：Keyword determining module (not shown),
First filtering module (not shown), the first computing module (not shown) and the second filtering module (not shown), wherein：
The keyword determining module, is adapted to determine that the corresponding merchant information keyword of default social property.
First filtering module, suitable for carrying out first time mistake to the consumption data based on the merchant information keyword
Filter, only retains the corresponding consumption data of trade company for including the merchant information keyword in name of firm.
First computing module, suitable for based on the consumption data after first time filtering, calculating the corresponding list of all trade companies
The mean μ and standard deviation sigma of secondary consumption price, and it is as follows to define confidential interval：[min(μ-σ*λ1,μ0),μ+σ*λ2], wherein μ0For
The corresponding minimum mean of default social property, λ1For the corresponding first standard deviation fine setting coefficient of default social property, λ2To be pre-
If social property corresponding second standard deviation fine setting coefficient.
Second filtering module, the is carried out suitable for the consumption data after being filtered based on the confidential interval and to first time
Secondary filter, only retains total consumption number of times trade company's consumption total degree thresholding corresponding more than default social property, and single
The average bits of consumption price disappear in the corresponding consumption data of trade company in confidential interval as default social property is corresponding
Take data.
In an embodiment of the present invention, the default social property can include one or more of：Ready-to-be mother belongs to
Property, housewife's attribute, unemployed high consumption crowd attribute, prepare marriage crowd attribute, have intention marriage crowd attribute, children father
Female attribute, teenager father and mother's attribute.
In an embodiment of the present invention, the identification subelement 322 can include：Second computing module (not shown) and
One identification module (not shown), wherein：Second computing module, suitable for based on the corresponding consumption data of the default social property
Calculate the consumption total degree of each holder.First identification module, suitable for consumption total degree is more than or equal into default society's category
Property corresponding holder consumption total degree thresholding holder be identified as the crowd with the default social property.
In an embodiment of the present invention, the identification subelement 322 can include：3rd computing module (not shown) and
Two identification module (not shown), wherein：3rd computing module, suitable for based on the corresponding consumption data of the default social property
Calculate every consumption total degree being stuck under different classes of trade company.Second identification module, if suitable under any sort trade company
Holder's consumption total degree thresholding that total degree is more than or equal to such trade company of default social property correspondence is consumed, then is corresponded to
Holder be designated the crowd with the social property.
In an embodiment of the present invention, the identification subelement 322 can include：4th computing module (not shown) and
Three identification module (not shown), wherein：4th computing module, suitable for based on the corresponding consumption data of the default social property
Calculate the maximum of consumption total degree, consumption total amount and the single spending amount of each holder.3rd identification module, is suitable to
Consumption total degree is more than or equal to the corresponding holder's consumption total degree thresholding of default social property and consumption total amount is more than
Holder corresponding equal to default social property consumes total amount thresholding, while the maximum of single spending amount is more than or equal to
The holder of the corresponding holder's single spending amount thresholding of default social property is identified as the people with the social property
Group.
In an embodiment of the present invention, the identification subelement 322 can include：5th computing module (not shown) and
Four identification module (not shown), wherein：5th computing module, suitable for based on the corresponding consumption data of the default social property
Calculate the maximum of the single spending amount of each holder.4th identification module, suitable for by the maximum of single spending amount
The holder of holder's single spending amount thresholding corresponding more than default social property is identified as with the social property
Crowd.
In specific implementation, ready-to-be mother's attribute can include：The expected date of childbirth sub- attribute of ready-to-be mother.
In an embodiment of the present invention, the identification subelement 322 can include：Mark module (not shown), suitable for base
In the corresponding consumption data of ready-to-be mother's attribute, by the time of First Consumption time retardation default ready-to-be mother's expected date of childbirth, standard is used as
The expected date of childbirth sub- attribute of mother.
In specific implementation, the recognition unit 32 can include：Computation subunit (not shown) and mark subelement are (not
Show), wherein：Computation subunit, suitable for calculating consumption number of times of each holder in different cities based on the consumption data.
Subelement is identified, suitable for regarding the most city of consumption number of times as the resident city of holder.
The embodiment of the present invention also provides a kind of computer-readable medium, is stored thereon with computer instruction, it is characterised in that
Step corresponding to the recognition methods of social property in above-described embodiment is performed during the computer instruction operation.
The embodiment of the present invention also provides a kind of identifying system of social property, including memory and processor, the storage
Be stored with the computer instruction that can be run on the processor on device, and the processor is held when running the computer instruction
Step corresponding to the recognition methods of social property in row above-described embodiment.
Although present disclosure is as above, the present invention is not limited to this.Any those skilled in the art, are not departing from this
In the spirit and scope of invention, it can make various changes or modifications, therefore protection scope of the present invention should be with claim institute
The scope of restriction is defined.
Claims (24)
1. a kind of recognition methods of social property, it is characterised in that including：
Obtain consumption data；
According to the corresponding attribution rule of default social property, the social property to holder in the consumption data is known
Not.
2. the recognition methods of social property according to claim 1, it is characterised in that described according to default social property
Corresponding attribution rule, the social property of holder in the consumption data is identified including：
Based on default data cleansing algorithm, the consumption data is filtered, the default social property of acquisition is corresponding to disappear
Take data；
According to the corresponding attribution rule of default social property, held in consumption data corresponding to the default social property
The social property of people is identified.
3. the recognition methods of social property according to claim 2, it is characterised in that described to be based on default data cleansing
Algorithm, is filtered to the consumption data, obtains the corresponding consumption data of default social property, including：
Determine the corresponding merchant information keyword of default social property；
First time filtering is carried out to the consumption data based on the merchant information keyword, only retains and institute is included in name of firm
State the corresponding consumption data of trade company of merchant information keyword；
Consumption data after being filtered based on first time, calculates the mean μ and standard deviation of the corresponding single consumption price of all trade companies
σ, and it is as follows to define confidential interval：[min(μ-σ*λ1,μ0),μ+σ*λ2], wherein μ0For the corresponding minimum of default social property
Average, λ1For the corresponding first standard deviation fine setting coefficient of default social property, λ2For corresponding second mark of default social property
Quasi- difference fine setting coefficient；
Consumption data after being filtered based on the confidential interval and to first time is carried out second and filtered, and only retains total consumption time
Number is more than default social property corresponding trade companies consumption total degree thresholdings, and single consumption price average bits in confidence area
The interior corresponding consumption data of trade company, is used as the corresponding consumption data of default social property.
4. the recognition methods of social property according to claim 2, it is characterised in that the default social property includes
Following at least one：Ready-to-be mother's attribute, housewife's attribute, unemployed high consumption crowd attribute, prepare marriage crowd attribute, intentionally
To marriage crowd attribute, children father and mother's attribute, teenager father and mother's attribute.
5. the recognition methods of social property according to claim 4, it is characterised in that ready-to-be mother's attribute includes：It is accurate
The expected date of childbirth sub- attribute of mother.
6. the recognition methods of social property according to claim 5, it is characterised in that described according to default social property
The social property of holder is identified in corresponding attribution rule, consumption data corresponding to the default social property,
Including：
Based on the corresponding consumption data of ready-to-be mother's attribute, by the time of First Consumption time retardation default ready-to-be mother's expected date of childbirth,
It is used as the expected date of childbirth of ready-to-be mother sub- attribute.
7. the recognition methods of social property according to claim 2, it is characterised in that described according to default social property
The social property of holder is identified in corresponding attribution rule, consumption data corresponding to the default social property,
Including：
Consumption total degree based on each holder of the default corresponding consumption data calculating of social property；
Total degree will be consumed and be more than or equal to holder's identification that the corresponding holder of default social property consumes total degree thresholding
For the crowd with the default social property.
8. the recognition methods of social property according to claim 2, it is characterised in that described according to default social property
The social property of holder is identified in corresponding attribution rule, consumption data corresponding to the default social property,
Including：
Every consumption being stuck under different classes of trade company is calculated based on the corresponding consumption data of the default social property total
Number of times；
If the holder that the consumption total degree under any sort trade company is more than or equal to such trade company of default social property correspondence disappears
Take total degree thresholding, then its corresponding holder is designated the crowd with the social property.
9. the recognition methods of social property according to claim 2, it is characterised in that described according to default social property
The social property of holder is identified in corresponding attribution rule, consumption data corresponding to the default social property,
Including：
Consumption total degree, consumption total amount based on each holder of the default corresponding consumption data calculating of social property
With the maximum of single spending amount；
Consumption total degree is more than or equal to the corresponding holder's consumption total degree thresholding of default social property and consumption total amount
Holder corresponding more than or equal to default social property consumes total amount thresholding, while the maximum of single spending amount is more than
The holder of holder's single spending amount thresholding corresponding equal to default social property is identified as with the social property
Crowd.
10. the recognition methods of social property according to claim 2, it is characterised in that described to belong to according to default society
The social property of holder is known in the corresponding attribution rule of property, consumption data corresponding to the default social property
Not, including：
The maximum of single spending amount based on each holder of the default corresponding consumption data calculating of social property；
The maximum of single spending amount is more than holding for the corresponding holder's single spending amount thresholding of default social property
Card people is identified as the crowd with the social property.
11. the recognition methods of social property according to claim 1, it is characterised in that described to belong to according to default society
The corresponding attribution rule of property, the social property to holder in the consumption data is identified, including：
Consumption number of times of each holder in different cities are calculated based on the consumption data；
It regard the most city of consumption number of times as the resident city of holder.
12. a kind of identifying device of social property, it is characterised in that including：
Acquiring unit, suitable for obtaining consumption data；
Recognition unit, suitable for according to the corresponding attribution rule of default social property, to the society of holder in the consumption data
Meeting attribute is identified.
13. the identifying device of social property according to claim 12, it is characterised in that the recognition unit includes：
Subelement is filtered, suitable for based on default data cleansing algorithm, being filtered to the consumption data, default society is obtained
Can the corresponding consumption data of attribute；
Subelement is recognized, suitable for according to the corresponding attribution rule of default social property, to the default social property correspondence
Consumption data in the social property of holder be identified.
14. the identifying device of social property according to claim 13, it is characterised in that the filtering subelement includes：
Keyword determining module, is adapted to determine that the corresponding merchant information keyword of default social property；
First filtering module, suitable for carrying out first time filtering to the consumption data based on the merchant information keyword, is only protected
Stay the corresponding consumption data of trade company that the merchant information keyword is included in name of firm；
First computing module, suitable for based on the consumption data after first time filtering, calculating the corresponding single consumption valency of all trade companies
The mean μ and standard deviation sigma of lattice, and it is as follows to define confidential interval：[min(μ-σ*λ1,μ0),μ+σ*λ2], wherein μ0For default society
Can the corresponding minimum mean of attribute, λ1For the corresponding first standard deviation fine setting coefficient of default social property, λ2For default society
The corresponding second standard deviation fine setting coefficient of attribute；
Second filtering module, second of mistake is carried out suitable for the consumption data after being filtered based on the confidential interval and to first time
Filter, only retains total consumption number of times trade company's consumption total degree thresholding corresponding more than default social property, and single consumption valency
The average bits of lattice are used as the corresponding consumption number of default social property in the corresponding consumption data of trade company in confidential interval
According to.
15. the identifying device of social property according to claim 13, it is characterised in that the default social property bag
Include following at least one：Ready-to-be mother's attribute, housewife's attribute, unemployed high consumption crowd attribute, prepare marriage crowd attribute, have
Purpose marriage crowd attribute, children father and mother's attribute, teenager father and mother's attribute.
16. the identifying device of social property according to claim 15, it is characterised in that ready-to-be mother's attribute includes：
The expected date of childbirth sub- attribute of ready-to-be mother.
17. the identifying device of social property according to claim 16, it is characterised in that the identification subelement includes：
Mark module, suitable for based on the corresponding consumption data of ready-to-be mother's attribute, the default ready-to-be mother of First Consumption time retardation is produced in advance
The time of phase, it is used as the expected date of childbirth of ready-to-be mother sub- attribute.
18. the identifying device of social property according to claim 13, it is characterised in that the identification subelement, including：
Second computing module, suitable for the consumption based on each holder of the default corresponding consumption data calculating of social property
Total degree；
First identification module, suitable for consumption total degree is more than or equal into the corresponding holder's consumption total degree of default social property
The holder of thresholding is identified as the crowd with the default social property.
19. the identifying device of social property according to claim 13, it is characterised in that the identification subelement, including：
3rd computing module, suitable for based on the corresponding consumption data of the default social property calculate every be stuck in it is different classes of
Trade company under consumption total degree；
Second identification module, if being more than or equal to default social property to should suitable for the consumption total degree under any sort trade company
Holder's consumption total degree thresholding of class trade company, then be designated the crowd with the social property by its corresponding holder.
20. the identifying device of social property according to claim 13, it is characterised in that the identification subelement, including：
4th computing module, suitable for the consumption based on each holder of the default corresponding consumption data calculating of social property
The maximum of total degree, consumption total amount and single spending amount；
3rd identification module, suitable for consumption total degree is more than or equal into the corresponding holder's consumption total degree of default social property
Thresholding and consumption total amount is more than or equal to default social property corresponding holder consumption total amount thresholding, while single disappears
The maximum for taking the amount of money is more than or equal to holder's identification of the corresponding holder's single spending amount thresholding of default social property
For the crowd with the social property.
21. the identifying device of social property according to claim 13, it is characterised in that the identification subelement includes：
5th computing module, suitable for the single based on each holder of the default corresponding consumption data calculating of social property
The maximum of spending amount；
4th identification module, suitable for the maximum of single spending amount is more than into the corresponding holder's single of default social property
The holder of spending amount thresholding is identified as the crowd with the social property.
22. the identifying device of social property according to claim 12, it is characterised in that the recognition unit includes：
Computation subunit, suitable for calculating consumption number of times of each holder in different cities based on the consumption data；
Subelement is identified, suitable for regarding the most city of consumption number of times as the resident city of holder.
23. a kind of computer-readable medium, is stored thereon with computer instruction, it is characterised in that the computer instruction operation
When perform claim any one of 1 to 11 methods described of requirement the step of.
24. a kind of identifying system of social property, it is characterised in that including memory and processor, is stored on the memory
There is the computer instruction that can be run on the processor, perform claim will when the processor runs the computer instruction
The step of seeking any one of 1 to 11 methods described.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108648006A (en) * | 2016-12-02 | 2018-10-12 | 口碑(上海)信息技术有限公司 | Recommend method and device in shop |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101925044A (en) * | 2009-06-15 | 2010-12-22 | 北京百分通联传媒技术有限公司 | Method for judging wireless user attributes |
| CN101986340A (en) * | 2010-12-08 | 2011-03-16 | 天津市翔晟远电力设备实业有限公司 | Method and device for counting consumption tendency of customer |
| US20160005060A1 (en) * | 2014-07-01 | 2016-01-07 | Mastercard International Incorporated | Method and system for predicting spending on travel |
| CN105589911A (en) * | 2014-12-31 | 2016-05-18 | 中国银联股份有限公司 | Customer value assessment method and system |
| CN105931068A (en) * | 2015-12-30 | 2016-09-07 | 中国银联股份有限公司 | Cardholder consumption figure generation method and device |
| CN105931065A (en) * | 2015-09-22 | 2016-09-07 | 中国银联股份有限公司 | Client base characteristic data processing method and device |
| CN105976204A (en) * | 2016-05-03 | 2016-09-28 | 无锡雅座在线科技发展有限公司 | Method and device for processing consumption data from time dimension |
-
2017
- 2017-05-27 CN CN201710395645.3A patent/CN107274216A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101925044A (en) * | 2009-06-15 | 2010-12-22 | 北京百分通联传媒技术有限公司 | Method for judging wireless user attributes |
| CN101986340A (en) * | 2010-12-08 | 2011-03-16 | 天津市翔晟远电力设备实业有限公司 | Method and device for counting consumption tendency of customer |
| US20160005060A1 (en) * | 2014-07-01 | 2016-01-07 | Mastercard International Incorporated | Method and system for predicting spending on travel |
| CN105589911A (en) * | 2014-12-31 | 2016-05-18 | 中国银联股份有限公司 | Customer value assessment method and system |
| CN105931065A (en) * | 2015-09-22 | 2016-09-07 | 中国银联股份有限公司 | Client base characteristic data processing method and device |
| CN105931068A (en) * | 2015-12-30 | 2016-09-07 | 中国银联股份有限公司 | Cardholder consumption figure generation method and device |
| CN105976204A (en) * | 2016-05-03 | 2016-09-28 | 无锡雅座在线科技发展有限公司 | Method and device for processing consumption data from time dimension |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108648006A (en) * | 2016-12-02 | 2018-10-12 | 口碑(上海)信息技术有限公司 | Recommend method and device in shop |
| CN108648006B (en) * | 2016-12-02 | 2021-02-23 | 口碑(上海)信息技术有限公司 | Shop recommendation method and device |
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