CN107357847A - Data processing method and its device - Google Patents
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- CN107357847A CN107357847A CN201710498852.1A CN201710498852A CN107357847A CN 107357847 A CN107357847 A CN 107357847A CN 201710498852 A CN201710498852 A CN 201710498852A CN 107357847 A CN107357847 A CN 107357847A
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Abstract
Present disclose provides a kind of data processing method, including：Obtain first practical operation data of the targeted customer to specified category；Obtain desired operation data of the targeted customer to specified category, wherein, desired operation data are used for the reference data to the interest deviation of specified category as measurement targeted customer, and desired operation data multiple categories are operated to multiple users caused by practical operation data it is related, one kind that specified category belongs in multiple categories；And according to the first practical operation data and desired operation data, determine interest deviation of the targeted customer to specified category.The disclosure additionally provides a kind of data processing equipment, computer-readable recording medium, data handling system.
Description
Technical field
This disclosure relates to data processing field, more particularly, to a kind of data processing method and its device.
Background technology
With artificial intelligence, fast development with computer technology is automatically controlled, the ability of data processing and inversion is to electricity
The influence of sub- commercial affairs becomes more and more important.For example, in electric business field, in face of the commodity data and user data of magnanimity, data
The accuracy of analysis is marketed for businessman, and client trading decision-making has very important influence.
During present inventive concept is realized, inventor has found that at least there are the following problems in the prior art：In face of sea
Commodity classification (referred to as category) data and user data, prior art of amount weigh the effective of data using univariate statistics
Property, cause data analysis precision low.
The content of the invention
In view of this, present disclose provides a kind of data processing method and its device that can improve data analysis precision
With system and computer-readable recording medium.
An aspect of this disclosure provides a kind of data processing method, including：Targeted customer is obtained to specifying category
First practical operation data；Desired operation data of the above-mentioned targeted customer to above-mentioned specified category are obtained, wherein, above-mentioned expectation behaviour
Make data for the reference data as the above-mentioned targeted customer of measurement to the interest deviation of above-mentioned specified category, and above-mentioned expectation is grasped
Make data multiple categories are operated to multiple users caused by practical operation data it is related, above-mentioned specified category belongs to
State one kind in multiple categories；And according to above-mentioned first practical operation data and above-mentioned desired operation data, determine above-mentioned mesh
Mark interest deviation of the user to above-mentioned specified category.
In accordance with an embodiment of the present disclosure, obtain above-mentioned targeted customer includes to the desired operation data of above-mentioned specified category：
The probability that event occurs is determined, wherein, above-mentioned event is that above-mentioned multiple users operate to above-mentioned specified category；Obtain second
Practical operation data, wherein, when above-mentioned second practical operation data are that above-mentioned targeted customer operates to above-mentioned multiple categories
The summation of caused practical operation data；And the probability occurred according to above-mentioned second practical operation data and above-mentioned event, really
Fixed above-mentioned desired operation data.
In accordance with an embodiment of the present disclosure, determine that the probability that event occurs includes：The 3rd practical operation data are obtained, wherein,
Above-mentioned 3rd practical operation data including above-mentioned multiple users above-mentioned multiple categories are operated caused by practical operation number
According to summation；The 4th practical operation data are obtained, wherein, above-mentioned 4th practical operation data include above-mentioned multiple users to above-mentioned
Specified category operated caused by practical operation data summation；And to determine that above-mentioned 4th practical operation data account for above-mentioned
3rd practical operation data ratio, obtain the probability that above-mentioned event occurs.
In accordance with an embodiment of the present disclosure, according to above-mentioned first practical operation data and above-mentioned desired operation data, it is determined that on
State targeted customer includes to the interest deviation of above-mentioned specified category：Whether judge numerical value corresponding to above-mentioned first practical operation data
More than numerical value corresponding to above-mentioned desired operation data；And if, it is determined that above-mentioned targeted customer is emerging to above-mentioned specified category sense
Interest.
In accordance with an embodiment of the present disclosure, according to above-mentioned first practical operation data and above-mentioned desired operation data, it is determined that on
State targeted customer includes to the interest deviation of above-mentioned specified category：According to above-mentioned first practical operation data and above-mentioned desired operation
Data calculate interest deviation of the above-mentioned targeted customer to above-mentioned specified category；And determined according to above-mentioned interest deviation above-mentioned
Interest deviation of the targeted customer to above-mentioned specified category.
In accordance with an embodiment of the present disclosure, calculated according to above-mentioned first practical operation data and above-mentioned desired operation data above-mentioned
Targeted customer includes to the interest deviation of above-mentioned specified category：According to above-mentioned first practical operation data and above-mentioned desired operation
Data determine adjustment factor, and above-mentioned adjustment factor is used to adjust above-mentioned interest deviation；And according to above-mentioned first practical operation
Data, above-mentioned desired operation data and above-mentioned adjustment factor calculate interest deviation of the above-mentioned targeted customer to above-mentioned specified category
Value.
In accordance with an embodiment of the present disclosure, according to above-mentioned first practical operation data and above-mentioned desired operation data, it is determined that
After above-mentioned targeted customer is to the interest deviation of above-mentioned specified category, the above method also includes：Judge the above-mentioned target determined
Whether user meets expectation index to the interest deviation of above-mentioned specified category；And if it is not, then filter out above-mentioned first practical operation
Data.
Another aspect of the disclosure provides a kind of data processing equipment, including：First acquisition module, for obtaining mesh
Mark first practical operation data of the user to specified category；Second acquisition module, for obtaining above-mentioned targeted customer to above-mentioned finger
Determine the desired operation data of category, wherein, above-mentioned desired operation data are used to specify to above-mentioned as the above-mentioned targeted customer of measurement
The reference data of the interest deviation of category, and produce when above-mentioned desired operation data operate with multiple users to multiple categories
Practical operation data it is related, one kind that above-mentioned specified category belongs in above-mentioned multiple categories；And first determining module, it is used for
According to above-mentioned first practical operation data and above-mentioned desired operation data, determine above-mentioned targeted customer to the emerging of above-mentioned specified category
Interesting deviation.
In accordance with an embodiment of the present disclosure, above-mentioned second acquisition module includes：First determining unit, for determining event
Probability, wherein, above-mentioned event be above-mentioned multiple users above-mentioned specified category is operated；Acquiring unit, for obtaining the
Two practical operation data, wherein, above-mentioned second practical operation data are that above-mentioned targeted customer operates to above-mentioned multiple categories
The summation of caused practical operation data；And second determining unit, for according to above-mentioned second practical operation data and
The probability of event generation is stated, determines above-mentioned desired operation data.
In accordance with an embodiment of the present disclosure, above-mentioned first determining unit includes：First obtains subelement, real for obtaining the 3rd
Border operation data, wherein, when above-mentioned 3rd practical operation data operate including above-mentioned multiple users to above-mentioned multiple categories
The summation of caused practical operation data；Second obtains subelement, for obtaining the 4th practical operation data, wherein, above-mentioned the
Four practical operation data include above-mentioned multiple users above-mentioned specified category is operated caused by practical operation data it is total
With；And first determination subelement, for determining that above-mentioned 4th practical operation data account for above-mentioned 3rd practical operation data ratio,
Obtain the probability that above-mentioned event occurs.
In accordance with an embodiment of the present disclosure, above-mentioned first determining module includes：Judging unit, for judging that above-mentioned first is actual
Whether numerical value corresponding to operation data is more than numerical value corresponding to above-mentioned desired operation data；And second determining unit, for
In the case that numerical value corresponding to above-mentioned first practical operation data is more than numerical value corresponding to above-mentioned desired operation data, determine above-mentioned
Targeted customer is interested in above-mentioned specified category.
In accordance with an embodiment of the present disclosure, above-mentioned first determining module includes：Computing unit, for actual according to above-mentioned first
Operation data and above-mentioned desired operation data calculate interest deviation of the above-mentioned targeted customer to above-mentioned specified category；And the 3rd
Determining unit, for determining interest deviation of the above-mentioned targeted customer to above-mentioned specified category according to above-mentioned interest deviation.
In accordance with an embodiment of the present disclosure, above-mentioned computing unit includes：Second determination subelement, for real according to above-mentioned first
Border operation data and above-mentioned desired operation data determine adjustment factor, and above-mentioned adjustment factor is used to adjust above-mentioned interest deviation；
And computation subunit, based on according to above-mentioned first practical operation data, above-mentioned desired operation data and above-mentioned adjustment factor
Count in stating interest deviation of the targeted customer to above-mentioned specified category.
In accordance with an embodiment of the present disclosure, said apparatus also includes：Judge module, for according to above-mentioned first practical operation
Data and above-mentioned desired operation data, after determining above-mentioned targeted customer to the interest deviation of above-mentioned specified category, judge to determine
Whether the above-mentioned targeted customer gone out meets expectation index to the interest deviation of above-mentioned specified category；And filtering module, for
In the case that the above-mentioned targeted customer judged meets expectation index to the interest deviation of above-mentioned specified category, above-mentioned first is filtered out
Practical operation data.
Another aspect of the disclosure provides a kind of computer-readable recording medium, is stored thereon with executable instruction,
For realizing above-mentioned data processing method when above-mentioned instruction is executed by processor.
Another aspect of the disclosure provides a kind of data handling system, including：Above-mentioned computer-readable storage medium
Matter；And above-mentioned processor.
Another aspect of the present disclosure provides a kind of computer program, and the computer program includes the executable finger of computer
Order, the instruction are used to realize method as described above when executed.
In accordance with an embodiment of the present disclosure, due to user being entered to the practical operation data for specifying category with desired operation data
Row compares, wherein, the desired operation data are related to the operation data of multiple categories to multiple users, in this case, the phase
Operation data is hoped due to can change with change of multiple users to the operation data of different categories, that is, it is expected operation data
Can at least in part solve that data analysis precision in the prior art is low and cause can not with dynamic change, therefore
It is accurate that the problem of whether user is really interested in specified category determined, and then realize the technology effect for improving data analysis precision
Fruit.
Brief description of the drawings
By the description to the embodiment of the present disclosure referring to the drawings, the above-mentioned and other purposes of the disclosure, feature and
Advantage will be apparent from, in the accompanying drawings：
Fig. 1, which is diagrammatically illustrated, can apply the data processing method of the disclosure and its exemplary system architecture of device；
Fig. 2 diagrammatically illustrates the flow chart of the data processing method according to the embodiment of the present disclosure；
Fig. 3 A diagrammatically illustrate the flow chart of the data processing method according to another embodiment of the disclosure；
Fig. 3 B diagrammatically illustrate the flow chart of the data processing method according to another embodiment of the disclosure；
Fig. 4 diagrammatically illustrates the block diagram of the data processing equipment according to the embodiment of the present disclosure；And
Fig. 5 diagrammatically illustrates the block diagram of the computer system of the data processing method using the embodiment of the present disclosure.
Embodiment
Hereinafter, it will be described with reference to the accompanying drawings embodiment of the disclosure.However, it should be understood that these descriptions are simply exemplary
, and it is not intended to limit the scope of the present disclosure.In addition, in the following description, the description to known features and technology is eliminated, with
Avoid unnecessarily obscuring the concept of the disclosure.
Term as used herein is not intended to limit the disclosure just for the sake of description specific embodiment.Used here as
Word " one ", " one (kind) " and "the" etc. should also include " multiple ", the meaning of " a variety of ", unless context clearly refers in addition
Go out.In addition, term " comprising " as used herein, "comprising" etc. indicate the presence of the feature, step, operation and/or part,
But it is not excluded that in the presence of or other one or more features of addition, step, operation or parts.
All terms (including technology and scientific terminology) as used herein have what those skilled in the art were generally understood
Implication, unless otherwise defined.It should be noted that term used herein should be interpreted that with consistent with the context of this specification
Implication, without should by idealization or it is excessively mechanical in a manner of explain.
Shown in the drawings of some block diagrams and/or flow chart.It should be understood that some sides in block diagram and/or flow chart
Frame or its combination can be realized by computer program instructions.These computer program instructions can be supplied to all-purpose computer,
The processor of special-purpose computer or other programmable data processing units, so as to which these instructions can be with when by the computing device
Create the device for realizing function/operation illustrated in these block diagrams and/or flow chart.
Therefore, the technology of the disclosure can be realized in the form of hardware and/or software (including firmware, microcode etc.).Separately
Outside, the technology of the disclosure can take the form of the computer program product on the computer-readable medium for being stored with instruction, should
Computer program product is available for instruction execution system use or combined command execution system to use.
Embodiment of the disclosure provides a kind of data processing method and its device.Wherein, this method includes：Data acquisition
Stage and interest deviation the stage of recognition.The first reality for specifying category is grasped, it is necessary to obtain targeted customer in data acquisition phase
Make data and the targeted customer specifies the desired operation data of category to this, wherein, desired operation data are with multiple users to more
Individual category operated caused by practical operation data it is related, for inclined to the interest for specifying category as targeted customer is weighed
The reference data of difference, and the one kind for specifying category to belong in multiple categories.In interest deviation the stage of recognition, it is necessary to according to acquisition
First practical operation data and desired operation data, determine that the targeted customer specifies the interest deviation of category to this, that is, determining should
Whether targeted customer specifies category interested this.
Fig. 1, which is diagrammatically illustrated, can apply the data processing method of the disclosure and its exemplary system architecture of device.
As shown in figure 1, system architecture 100 can include terminal device 101, terminal device 102, terminal device 103, network
104 and server 105.Network 104 to terminal device 101, terminal device 102, terminal device 103 and server 105 it
Between provide communication link medium.Network 104 can include various connection types, such as wired, wireless communication link or light
Fiber-optic cable etc..
User can pass through network 104 and server 105 with using terminal equipment 101, terminal device 102, terminal device 103
Interaction, to receive or send message etc..Terminal device 101, terminal device 102, can be provided with terminal device 103 it is various logical
Interrogate client application, such as the application of shopping class, web browser applications, searching class application, JICQ, mailbox client
End, social platform software etc., will not be repeated here.
Terminal device 101, terminal device 102, terminal device 103 can have display screen and supported web page browses
Various electronic equipments, including but not limited to smart mobile phone, tablet personal computer, pocket computer on knee and desktop computer etc..
Server 105 can be to provide the server of various services, such as user is set using terminal device 101, terminal
Standby 102, the shopping class website that terminal device 103 is browsed provides the back-stage management server (merely illustrative) supported.Manage on backstage
Reason server such as can ask the information query that receives analyze etc. processing at the data, and by result (such as
Target push information, product information etc.) feed back to terminal device.
It should be noted that the method for the data processing that the embodiment of the present disclosure is provided can be performed by server 105,
Can be by being performed different from another server of server 105 or a server cluster.Correspondingly, at for data
The device of reason can be arranged in server 105, can also be set and another server beyond server 105 or one
In server cluster.
It should be understood that the number of the terminal device, network and server in Fig. 1 is only schematical.According to realizing need
Will, can have any number of terminal device, network and server.
At present, increasing user can select to be traded on electric business platform or other transaction platforms, and hand over
In easy process, system can produce the transaction data of magnanimity, for example, on shopping website, user plane to the commodity of different classifications,
Click can be performed to each commodity classification (i.e. category) to browse, comment on, buying etc. and to operate, when performing these operations, system can produce
The operation data of magnanimity.In face of the operation data of magnanimity, for businessman, how to handle these data and seem significant.
Fig. 2 diagrammatically illustrates the flow chart of the data processing method according to the embodiment of the present disclosure.
As shown in Fig. 2 this method can include operation S201~operation S203, wherein：
S201 is operated, obtains first practical operation data of the targeted customer to specified category.
In accordance with an embodiment of the present disclosure, before handling data, behaviour of the targeted customer to specified category is first obtained
Make data, wherein, targeted customer can be the user being arbitrarily designated, and can such as log in the user of certain business site.Specify category
The category that can be shown on webpage.For example, user A is browsed on webpage and existed when being done shopping on certain electric business shopping website
Different commodity classifications, such as fresh, clothes, footwear and bag, user A click on " clothes " this category after, can buy or
The associated garments under " clothes " category are somebody's turn to do in collection, and information corresponding to the associated garments that will can also be somebody's turn to do under " clothes " category is pushed to
Other good friends etc..
It should be noted that in the disclosed embodiments, being not construed as limiting to commodity classification, it can include but is not limited to not
Congener commodity, or classification of the one species commodity on different dimensions.For example, when commodity are cotta, it is segmented into red
The classification of the different colours such as color, white and black.In addition, commodity classification can also be the supermarket in business site, reward voucher etc.
Deng other classification.Operation data can be click volume of the targeted customer to specified category, specifically, as shown in table 1.
Table 1
| ID | Category id | Click volume |
| A | Mother and baby | 100 |
| B | Books | 50 |
| ... | ... | ... |
| N | Category n | m |
ID in table 1 is used to identify each user, the unique mark as user.Category id can be each business
The Data Identification of product classification.Click volume refers to user caused amount of operational data, normal conditions below some commodity classification
Under can be by number of data according to calculating, for example, pageviews of the user A below mother and baby's category is 100.Table 1 can conduct
For a data acquisition system of data analysis, including N number of user, n kind categories, and click volume.It should be noted that as use
It can include one or more in the data acquisition system of data analysis, for example, click volumes of the user A to books, to other categories
Click volume is as the data acquisition system for data analysis.In addition, operation data can also be comment bar number to category etc. other
Operation data, it will not be repeated here.
S202 is operated, obtains desired operation data of the targeted customer to specified category, wherein, desired operation data are used to make
To weigh reference data of the targeted customer to the interest deviation of specified category, and desired operation data and multiple users are to multiple product
Class operated caused by practical operation data it is related, one kind that specified category belongs in multiple categories.
In accordance with an embodiment of the present disclosure, desired operation data are used for as measurement targeted customer to the emerging of a certain specified category
The reference data of interesting deviation, interest deviation refer to fancy grade of the targeted customer to the specified category commodity of certain one kind.For example, handing over
On easy website, there are multiple users to be operated to the commodity on website, whether targeted customer is interested in a certain commodity, can
To be weighed by interest deviation.Desired operation data and multiple users on website are to data caused by the operation of multiple categories
Related, that is to say, that desired operation data are as multiple users are to data variation caused by the operation of multiple categories.It can be seen that the phase
Hope that operation data is relevant with data caused by multiple users, be change.It should be noted that targeted customer can be multiple use
A member in family, may not be a member in multiple users, multiple users can be all users on website or
Certain customers.
S203 is operated, according to the first practical operation data and desired operation data, determines targeted customer to specifying category
Interest deviation.
In accordance with an embodiment of the present disclosure, can according to targeted customer to specify category the first practical operation data with and it is more
The individual user desired operation data related to data caused by the operation of multiple categories, determine targeted customer to specifying whether category is felt
Interest.For example, for new category or not growing common category, customer volume may be relatively sparse, in this case to the emerging of user
When interesting deviation is weighed, it could incorrectly assume that user loses interest in the category.For example, for the uncommon commodity of A classes,
Once there is user's concern, even if it has only been browsed several times, the user is also interested in the commodity.If carried according to prior art
The scheme of confession, by the preset value being manually set compared with practical operation data, rather than according to actual conditions be calculated as
Desired value is compared, thus probably due to preset value sets improper (such as excessive) and causes to be difficult to the interest for realizing the user
Point.
In accordance with an embodiment of the present disclosure, due to the practical operation data and desired operation number according to user to specified category
According to, interest deviation of the targeted customer to specified category is determined, wherein, the desired operation data are with multiple users to multiple categories
Operation data is related.In such circumstances it is desirable to operation data is dynamic change, as multiple users are to the behaviour of different categories
Make the change of data and change.Also, the analysis method to user interest preference is not to use a certain specified product of univariate statistics
The practical operation data of class, but obtain practical operation data and desired operation data of the user to specified category.Therefore, can be with
Solve in the prior art that data analysis precision is low at least in part, cause accurately determine user whether to specifying category sense
The problem of interest, and then the technique effect for improving data analysis precision can be realized.
Below with reference to Fig. 3 A and Fig. 3 B, the method shown in Fig. 2 is described further in conjunction with specific embodiments.
Fig. 3 A diagrammatically illustrate the flow chart of the data processing method according to another embodiment of the disclosure.Such as Fig. 3 A institutes
To show, this method includes operation S301~operation S305, wherein：
S301 is operated, obtains first practical operation data of the targeted customer to specified category.
S302 is operated, determines the probability that event occurs, wherein, above-mentioned event is multiple users to specifying category to grasp
Make.
S303 is operated, obtains the second practical operation data, wherein, the second practical operation data are targeted customer to multiple product
Class operated caused by practical operation data summation.
S304 is operated, the probability occurred according to the second practical operation data and event, determines desired operation data.
S305 is operated, according to the first practical operation data and desired operation data, determines targeted customer to specifying category
Interest deviation.
In accordance with an embodiment of the present disclosure, wherein it is determined that the probability that event occurs is to determine that multiple users are to referring in customer group
The probability that category is operated is determined, that is, multiple users pass through statistics on website to the possibility for specifying category to be operated
The mode for learning probability is weighed.Multiple users can be use all in customer group partial user or customer group
Family.For example, having user A, user B, user C and user D in customer group, there are two kinds of categories of books and clothes on shopping website, really
Fixed multiple users can be that user A, user B, the user C in customer group are carried out to clothes to specifying the probability that category is operated
The probability of operation, targeted customer can be user D, can be user A, can also be user A, user B, user C and use certainly
Other users outside the D of family.
Obtain targeted customer multiple categories are operated caused by practical operation data summation, as described above, example
Such as, targeted customer can be user D, and the practical operation data operated to books are 100 times and clothes are operated
Practical operation data be 200 times, therefore, targeted customer D multiple categories are operated caused by practical operation data it is total
With for 300 times.In the summation and customer group of practical operation data caused by being operated according to targeted customer D to multiple categories
Multiple users can determine desired operation data to the probability for specifying category to be operated.And then getting desired operation number
After the practical operation data with targeted customer, according to the practical operation data and desired operation data of targeted customer, mesh is determined
User is marked to specifying category whether interested.
In accordance with an embodiment of the present disclosure, because prior art is that data are entered using single argument or single statistical method
Row analysis, in this case, be difficult to differentiate between when there is identical data user whether all to it is a certain classification it is interested, such as with
Family A and user B is equally clicked on 2 times to same commodity, and in this case, the true interest for being just difficult to weigh this two users is inclined
Difference.In accordance with an embodiment of the present disclosure, operation data (i.e. the second practical operation data) that can be by targeted customer to multiple classification
With multiple users to specifying the probability multiplication that category is operated, obtained desired operation data.Due to considering target simultaneously
User is to the operation data of multiple classification and multiple users to specifying the probability that category is operated, the desired operation that will be obtained
Data with reality operation data compared with, thus can solve multiple users equally to same commodity click on same number when,
The problem of real interest deviation of multiple users can not be weighed.
In accordance with an embodiment of the present disclosure, wherein it is determined that the probability that event occurs includes：The 3rd practical operation data are obtained,
Wherein, the 3rd practical operation data include multiple users multiple categories are operated caused by practical operation data it is total
With；The 4th practical operation data are obtained, wherein, when the 4th practical operation data operate including multiple users to specified category
The summation of caused practical operation data；And determine that the 4th practical operation data account for the 3rd practical operation data ratio, obtain
The probability that event occurs.
In accordance with an embodiment of the present disclosure, in order to determine that multiple users carry out what is operated to a certain specified category in customer group
Probability, the probability can be as the users of each in customer group to specifying the possibility quantizating index that category is operated, often
One user can be one in multiple users, other users that can also be beyond multiple users, naturally it is also possible to be target
User.Probability can be that the summation of practical operation data caused by multiple users are operated to specified category accounts for multiple users
The ratio of the summation of practical operation data caused by being operated to above-mentioned multiple categories.For example, there is N number of use in customer group
Family, n category is shown on webpage, the n category that N number of user shows on webpage is operated obtained operation data, can
To use n category (multiple or whole product that polymerization asks multiple or whole users in N number of user to be shown on webpage
Class) operated obtained operation data summation, i.e. the 3rd practical operation data.4th practical operation data can be using poly-
The specified category that conjunction method asks multiple or whole users in N number of user to be shown on webpage is operated obtained operation data
Summation.
Specifically, for example, calculating the probability P that the user in customer group i is operated in category jij, can be with by probability
The possibility that reflection user operates to category j.
Pij=Nj/Nall
Wherein, NjCarry out operating caused data volume on category j for all users in customer group, so as to anti-from magnitude
Present category j temperature；NallCarry out operating caused data volume in all categories for all users in customer group.By a certain
Accounting of the data volume of individual category in the data volume of all categories, weigh the liveness that user is operated in the category.
In accordance with an embodiment of the present disclosure, the probability obtained using the above method, can be used for calculating desired operation data, tool
Body, for example, the summation and probability multiplication of practical operation data caused by targeted customer is operated to multiple categories, are obtained
To targeted customer, relative to overall customer group, the caused standard in the case where specifying category it is expected data volume, that is, it is expected operation data.It is logical
Cross aforesaid way, the close phase of probability that desired operation data and overall all or part of users are operated in the case where specifying category
Close, while have also contemplated that the practical operation data that targeted customer is operated in website.
In accordance with an embodiment of the present disclosure, wherein, according to the first practical operation data and desired operation data, determine that target is used
Family includes to the interest deviation for specifying category：Judge whether numerical value corresponding to the first practical operation data is more than desired operation data
Corresponding numerical value；And if, it is determined that targeted customer is interested in specifying category.
In accordance with an embodiment of the present disclosure, comparison object user is to specifying operation data and the desired operation data of category,
Targeted customer is to specifying the operation data of category more than in the case of numerical value corresponding to desired operation data, it can be determined that target is used
Family is interested in specifying category.Numerical value corresponding to desired operation data is less than to the operation data for specifying category in targeted customer
In the case of, it can be determined that targeted customer loses interest in specified category, or level of interest is not high.
In accordance with an embodiment of the present disclosure, wherein, according to the first practical operation data and desired operation data, determine that target is used
Family includes to the interest deviation for specifying category：Targeted customer is calculated to referring to according to the first practical operation data and desired operation data
Determine the interest deviation of category；And interest deviation of the targeted customer to specified category is determined according to interest deviation.
When user in customer group operates to different categories, to the increased feelings of number of operations of each category
Under condition, whether artificial default value is more than to the operation for specifying category if only analysis user, it is clear that the user can not be represented
Whether to specifying category interested, according to the embodiment of the present disclosure, due to being to carry out target user data and desired operation data
Reference pair ratio, desired operation data are that multiple customer groups are relevant to the operation data of multiple categories, therefore solve targeted customer
Data increase and cause to analyze the problem of user is to specifying category whether interested accurate low simultaneously with colony.
In accordance with an embodiment of the present disclosure, due to user to specify category practical operation data not only can the amount of being click on,
It can also be comment number, can also be user to specifying the content that category is commented on, corresponding desired operation data can also
The amount of being click on, number is commented on, can also be user to specifying the content that category is commented on.When operation data is to specifying category to enter
During the content of row comment, user can be determined whether to specifying whether category feels emerging according to the semantic relation between the content of comment
Interest.When operation data is to specifying other quantized datas such as the click volume that is operated of category, actual can be grasped according to first
Make data and desired operation data calculate interest deviation of the targeted customer to specified category, so as to quantify user to specifying product
Whether class is interested.
In accordance with an embodiment of the present disclosure, wherein, calculate target according to the first practical operation data and desired operation data and use
Family includes to the interest deviation for specifying category：Adjustment factor is determined according to the first practical operation data and desired operation data,
Adjustment factor is used to adjust interest deviation；And according to the first practical operation data, desired operation data and adjustment factor meter
Calculate interest deviation of the targeted customer to specified category.
In accordance with an embodiment of the present disclosure, specifically, for example, passing through interest deviation εijTargeted customer i is weighed to specifying product
Class j interest deviation, formula are as follows：
Wherein K is adjustment factor, alternatively, as the first practical operation data NijLarger or desired operation data EijCompared with
Situations such as small, carries out relative regulation numerical value, it is generally the case that adjustment factor K empirical value can take 0.22.Above-mentioned formula
Core basis for estimation is NijAnd Eij, work as εij＞ 1, and to regulation COEFFICIENT K without regulation in the case of, be equal to logNij≥
logEij+WhereinIt can be used for adjustment and it is expected operation data EijConspicuousness is than less obvious feelings caused by numerical value is too small
Condition, with EijIncrease,Adjustment can ignore.Wherein, conspicuousness unobvious refer to interested journey of the user to commodity
Spend unobvious.
For example, pass through interest deviation γijInterestingness score as targeted customer i to specified category j, formula are as follows：
Interest deviation γijInterest measure as targeted customer i to specified category j, score value is higher to represent targeted customer i
It is higher to specified category j interest-degree.Interest deviation γ can be passed throughiiInverted order arrangement is carried out to screen customer group.
In accordance with an embodiment of the present disclosure, due in large-scale machine learning, the knowledge of characteristic and algorithm to model
Other ability is of equal importance.User has preferable resolution capability to the interest preference of some specific category on algorithm model, can be with
Algorithm model is passed to directly as characteristic value.By quantifying interest deviation of the user to specified category, user couple can be used as
The interest extent of deviation measurement of category is specified, so as to be machine learning, the offer such as advertisement recommendation on line during customer transaction is more
Accurate characteristic value.
Fig. 3 B diagrammatically illustrate the flow chart of the data processing method according to another embodiment of the disclosure.Such as Fig. 3 B institutes
To show, this method includes operation S401~operation S405, wherein：
S401 is operated, obtains first practical operation data of the targeted customer to specified category.
S402 is operated, obtains desired operation data of the targeted customer to specified category, wherein, desired operation data are used to make
To weigh reference data of the targeted customer to the interest deviation of specified category, and desired operation data and multiple users are to multiple product
Class operated caused by practical operation data it is related, one kind that specified category belongs in multiple categories.
S403 is operated, according to the first practical operation data and desired operation data, determines targeted customer to specifying category
Interest deviation.
S404 is operated, whether the targeted customer for judging to determine meets expectation index to the interest deviation for specifying category.
S405 is operated, expectation index is not met to the interest deviation for specifying category in the targeted customer for judging to determine, then
Filter out the first practical operation data.
In accordance with an embodiment of the present disclosure, wherein, according to the first practical operation data and desired operation data, target is determined
After interest deviation of the user to specifying category, method also includes：Interest of the targeted customer that judgement is determined to specified category
Whether deviation meets expectation index；Refer in the targeted customer for judging to determine to specifying the interest deviation of category not meet expection
Mark, then filter out the first practical operation data.Expection is met to the interest deviation for specifying category in the targeted customer for judging to determine
Index, then retain the first practical operation data.Data due to not meeting expectation index be likely to largely to influence compared with
The interest of excellent user is judged (user that more excellent user meets the data of expectation index for generation).In addition, expectation index is not met
Data also represent be difficult in specific degrees objectively judge user level of interest., can be with by the embodiment of the present disclosure
The data for not meeting expectation index are filtered out, the level of interest for objectively judging user can be reached, and then improve data
The accuracy of analysis.
, can be with according to the different inclined method for determining difference of interest it should be noted that expectation index can be quantizating index
Different expectation indexs is obtained, for example, using above-mentioned interest deviation εijWhen weigh the interest level of user, by interest
Deviation εijCompared with 1, the expectation index is 1.Expectation index can also be other qualitative indexes, for example, different
The interest deviation of user can be liked, typically, when not liking, using semanteme and like similar word as expectation index.It is not inconsistent
It is as general to close the interest deviation of expectation index, does not like.
Fig. 4 diagrammatically illustrates the block diagram of data processing equipment in accordance with an embodiment of the present disclosure.
As shown in figure 4, data processing equipment 500 includes the first acquisition module 510, the second acquisition module 520, first determines
Module 530.
First acquisition module 510 is used to obtain first practical operation data of the targeted customer to specifying category.
Second acquisition module 520 is used to obtain desired operation data of the targeted customer to specifying category, wherein, desired operation
Data are used for the reference data to the interest deviation of specified category as measurement targeted customer, and desired operation data and multiple use
Family multiple categories are operated caused by practical operation data it is related, one kind that specified category belongs in multiple categories.
First determining module 530 is used for according to the first practical operation data and desired operation data, determines targeted customer couple
Specify the interest deviation of category.
In accordance with an embodiment of the present disclosure, due to the practical operation data and desired operation data according to user to specified category
Interest deviation of the user to specified category is determined, wherein, operand of the desired operation data with multiple users to multiple categories
According to correlation.In such circumstances it is desirable to operation data is due to can be with change of multiple users to the operation data of different categories
Change and change, that is, it is expected that operation data can be with dynamic change.Also, the analysis method to user interest preference is not to use
The practical operation data of a certain specified category of univariate statistics, but obtain practical operation data and phase of the user to specified category
Hope operation data.Therefore, can solve that data analysis precision in the prior art is low at least in part and cause can not be accurately true
The problem of whether user is really interested in specified category determined, and then realizes the technique effect for improving data analysis precision.
In accordance with an embodiment of the present disclosure, wherein, above-mentioned second acquisition module includes：First determining unit, for determining thing
The probability that part occurs, wherein, event is multiple users to specifying category to operate；Acquiring unit is actual for obtaining second
Operation data, wherein, the second practical operation data are practical operation number caused by targeted customer is operated to multiple categories
According to summation；And second determining unit, for the probability according to the second practical operation data and event generation, it is determined that it is expected behaviour
Make data.
In accordance with an embodiment of the present disclosure, wherein, above-mentioned first determining unit includes：First obtains subelement, for obtaining
3rd practical operation data, wherein, caused by the 3rd practical operation data are operated to multiple categories including multiple users
The summation of practical operation data；Second obtains subelement, for obtaining the 4th practical operation data, wherein, the 4th practical operation
Data include multiple users to specify category operated caused by practical operation data summation；And first determine that son is single
Member, for determining that the 4th practical operation data account for the 3rd practical operation data ratio, obtain the probability of event generation.
In accordance with an embodiment of the present disclosure, wherein, the first determining module includes：Judging unit, for judging the first actual behaviour
Make whether numerical value corresponding to data is more than numerical value corresponding to desired operation data；And second determining unit, for real first
In the case that numerical value corresponding to the operation data of border is more than numerical value corresponding to desired operation data, determine targeted customer to specifying category
It is interested.
In accordance with an embodiment of the present disclosure, wherein, above-mentioned first determining module includes：Computing unit, for real according to first
Border operation data and desired operation data calculate interest deviation of the targeted customer to specified category；And the 3rd determining unit,
For determining interest deviation of the targeted customer to specified category according to interest deviation.
In accordance with an embodiment of the present disclosure, wherein, above-mentioned computing unit includes：Second determination subelement, for according to first
Practical operation data and desired operation data determine adjustment factor, and adjustment factor is used to adjust interest deviation；And calculate son
Unit, for calculating targeted customer to specifying category according to the first practical operation data, desired operation data and adjustment factor
Interest deviation.
In accordance with an embodiment of the present disclosure, wherein, said apparatus also includes：Judge module, for according to the first actual behaviour
Make data and desired operation data, after determining interest deviation of the targeted customer to specifying category, the target for judging to determine is used
Whether family meets expectation index to the interest deviation for specifying category；And filtering module, in the targeted customer couple judged
In the case that the interest deviation of specified category meets expectation index, the first practical operation data are filtered out.
It should be noted that the data processing equipment of the embodiment of the present disclosure is corresponding with data processing method, for
The description of the data processing equipment may be referred to the description of the data processing method according to the embodiment of the present disclosure, no longer superfluous herein
State.
In accordance with an embodiment of the present disclosure, there is provided a kind of data handling system, including, computer-readable recording medium；Place
Manage device.
Another aspect of the present disclosure provides a kind of computer program, and the computer program includes the executable finger of computer
Order, the instruction are used to realize method as described above when executed.
Fig. 5 diagrammatically illustrates the block diagram of the computer system of the data processing method using the embodiment of the present disclosure.
Fig. 5 diagrammatically illustrates the structural representation suitable for being used for the computer system 600 for realizing the embodiment of the present disclosure.
As shown in figure 5, computer system 600 includes CPU (CPU 601), it can be read-only according to being stored in
Program in memory (ROM 602) or the program being loaded into from storage part 608 in random access storage device (RAM 603)
And perform various appropriate actions and processing.In RAM 603, also it is stored with computer system 600 and operates required various journeys
Sequence and data.CPU 601, ROM 602 and RAM 603 are connected with each other by bus 604.Input/output interface (I/O interfaces
605) it is also connected to bus 604.
I/O interfaces 605 are connected to lower component：Importation 606 including keyboard, mouse etc.；Penetrated including such as negative electrode
The output par, c 607 of spool (CRT), liquid crystal display (LCD) etc. and loudspeaker etc.；Storage part 608 including hard disk etc.；
And the communications portion 609 of the NIC including LAN card, modem etc..Communications portion 609 via such as because
The network of spy's net performs communication process.Driver 610 is also according to needing to be connected to I/O interfaces 605.Detachable media 611, such as
Disk, CD, magneto-optic disk, semiconductor memory etc., it is arranged on as needed on driver 610, in order to read from it
Computer program be mounted into as needed storage part 608.
Especially, in accordance with an embodiment of the present disclosure, it may be implemented as computer above with reference to the process of flow chart description
Software program.For example, embodiment of the disclosure includes a kind of computer program product, it includes being carried on computer-readable medium
On computer program, the computer program include be used for execution flow chart shown in method program code.In such reality
To apply in example, the computer program can be downloaded and installed by communications portion 609 from network, and/or from detachable media
611 are mounted.When the computer program is performed by CPU 601, the above-mentioned function of being limited in the system of the disclosure is performed.
It should be noted that the computer-readable medium shown in the disclosure can be computer-readable signal media or meter
Calculation machine readable storage medium storing program for executing either the two any combination.Computer-readable recording medium for example can be --- but not
Be limited to --- electricity, magnetic, optical, electromagnetic, system, device or the device of infrared ray or semiconductor, or it is any more than combination.Meter
The more specifically example of calculation machine readable storage medium storing program for executing can include but is not limited to：Electrical connection with one or more wires, just
Take formula computer disk, hard disk, random access storage device (RAM), read-only storage (ROM), erasable type and may be programmed read-only storage
Device (EPROM or flash memory), optical fiber, portable compact disc read-only storage (CD-ROM), light storage device, magnetic memory device,
Or above-mentioned any appropriate combination.In the disclosure, computer-readable recording medium can any include or store journey
The tangible medium of sequence, the program can be commanded the either device use or in connection of execution system, device.And at this
In open, computer-readable signal media can be included in a base band or the data-signal as carrier wave part propagation,
Wherein carry computer-readable program code.The data-signal of this propagation can take various forms, including but unlimited
In electromagnetic signal, optical signal or above-mentioned any appropriate combination.Computer-readable signal media can also be that computer can
Any computer-readable medium beyond storage medium is read, the computer-readable medium, which can send, propagates or transmit, to be used for
By instruction execution system, device either device use or program in connection.Included on computer-readable medium
Program code can be transmitted with any appropriate medium, be included but is not limited to：Wirelessly, electric wire, optical cable, RF etc., or it is above-mentioned
Any appropriate combination.
Flow chart and block diagram in accompanying drawing, it is illustrated that according to the system of the various embodiments of the disclosure, method and computer journey
Architectural framework in the cards, function and the operation of sequence product.At this point, each square frame in flow chart or block diagram can generation
The part of one module of table, program segment or code, a part for above-mentioned module, program segment or code include one or more
For realizing the executable instruction of defined logic function.It should also be noted that some as replace realization in, institute in square frame
The function of mark can also be with different from the order marked in accompanying drawing generation.For example, two square frames succeedingly represented are actual
On can perform substantially in parallel, they can also be performed in the opposite order sometimes, and this is depending on involved function.Also
It is noted that the combination of each square frame and block diagram in block diagram or flow chart or the square frame in flow chart, can use and perform rule
Fixed function or the special hardware based system of operation are realized, or can use the group of specialized hardware and computer instruction
Close to realize.
Being described in unit involved in the embodiment of the present disclosure can be realized by way of software, can also be by hard
The mode of part is realized.Described unit can also be set within a processor, for example, can be described as：A kind of processor bag
Include acquiring unit, determining unit and judging unit.Wherein, the title of these units is not formed to the unit under certain conditions
The restriction of itself, for example, first acquisition unit is also described as " obtaining targeted customer to grasp the first reality for specifying category
Make the unit of data ".
As on the other hand, a kind of computer-readable medium is additionally provided in accordance with an embodiment of the present disclosure.Above computer
Computer-readable recording medium carries one or more program, when said one or multiple programs are performed, it is possible to achieve according to this
The data processing method of open embodiment, including：Obtain first practical operation data of the targeted customer to specified category；Obtain mesh
Desired operation data of the user to specified category are marked, wherein, desired operation data are used for as measurement targeted customer to specifying product
The reference data of the interest deviation of class, and desired operation data carry out operating caused reality with multiple users to multiple categories
Operation data is related, one kind that specified category belongs in multiple categories；And according to the first practical operation data and desired operation
Data, determine interest deviation of the targeted customer to specified category.
Wherein, obtain targeted customer includes to the desired operation data for specifying category：The probability that event occurs is determined, its
In, event is multiple users to specifying category to operate；The second practical operation data are obtained, wherein, the second practical operation number
According to the summation of practical operation data caused by being operated for targeted customer to multiple categories；And according to the second practical operation
The probability that data and event occur, determines desired operation data.Determine that the probability that event occurs includes：Obtain the 3rd practical operation
Data, wherein, the 3rd practical operation data including multiple users multiple categories are operated caused by practical operation data
Summation；The 4th practical operation data are obtained, wherein, the 4th practical operation data include multiple users to specifying category to grasp
The summation of practical operation data caused by work；And determine that the 4th practical operation data account for the 3rd practical operation data ratio,
Obtain the probability of event generation.According to the first practical operation data and desired operation data, determine targeted customer to specifying category
Interest deviation include：Judge whether numerical value corresponding to the first practical operation data is more than numerical value corresponding to desired operation data；
And if, it is determined that targeted customer is interested in specifying category.According to the first practical operation data and desired operation data, really
The user that sets the goal includes to the interest deviation for specifying category：Target is calculated according to the first practical operation data and desired operation data
Interest deviation of the user to specified category；And determine that targeted customer is inclined to the interest for specifying category according to interest deviation
Difference.Wherein, interest deviation of the targeted customer to specified category is calculated according to the first practical operation data and desired operation data
Including：Adjustment factor is determined according to the first practical operation data and desired operation data, adjustment factor is used to adjust interest deviation
Value；And targeted customer is calculated to specifying the emerging of category according to the first practical operation data, desired operation data and adjustment factor
Interesting deviation.According to the first practical operation data and desired operation data, determine that targeted customer is inclined to the interest for specifying category
After difference, method also includes：Whether the targeted customer for judging to determine meets expectation index to the interest deviation for specifying category；With
And if it is not, then filter out the first practical operation data.
Embodiment of the disclosure is described above.But the purpose that these embodiments are merely to illustrate that, and
It is not intended to limit the scope of the present disclosure.Although respectively describing each embodiment more than, but it is not intended that each reality
Use can not be advantageously combined by applying the measure in example.The scope of the present disclosure is defined by the appended claims and the equivalents thereof.Do not take off
From the scope of the present disclosure, those skilled in the art can make a variety of alternatives and modifications, and these alternatives and modifications should all fall at this
Within scope of disclosure.
Claims (16)
1. a kind of data processing method, including：
Obtain first practical operation data of the targeted customer to specified category；
Desired operation data of the targeted customer to the specified category are obtained, wherein, the desired operation data are used to make
To weigh the reference data of the targeted customer to the interest deviation of the specified category, and the desired operation data with it is multiple
User multiple categories are operated caused by practical operation data it is related, the specified category belongs in the multiple category
One kind；And
According to the first practical operation data and the desired operation data, determine the targeted customer to the specified category
Interest deviation.
2. according to the method for claim 1, wherein, obtain desired operation number of the targeted customer to the specified category
According to including：
The probability that event occurs is determined, wherein, the event is that the multiple user operates to the specified category；
The second practical operation data are obtained, wherein, the second practical operation data are the targeted customer to the multiple product
Class operated caused by practical operation data summation；And
The probability occurred according to the second practical operation data and the event, determines the desired operation data.
3. according to the method for claim 2, wherein it is determined that the probability that event occurs includes：
The 3rd practical operation data are obtained, wherein, the 3rd practical operation data include the multiple user to the multiple
Category operated caused by practical operation data summation；
The 4th practical operation data are obtained, wherein, the 4th practical operation data include the multiple user and specified to described
Category operated caused by practical operation data summation；And
Determine that the 4th practical operation data account for the 3rd practical operation data ratio, obtain the general of the event generation
Rate.
4. the method according to claim 11, wherein, according to the first practical operation data and the desired operation number
According to determining that the targeted customer includes to the interest deviation of the specified category：
Judge whether numerical value corresponding to the first practical operation data is more than numerical value corresponding to the desired operation data；And
If, it is determined that the targeted customer is interested in the specified category.
5. the method according to claim 11, wherein, according to the first practical operation data and the desired operation number
According to determining that the targeted customer includes to the interest deviation of the specified category：
The targeted customer is calculated to the specified category according to the first practical operation data and the desired operation data
Interest deviation；And
Interest deviation of the targeted customer to the specified category is determined according to the interest deviation.
6. the method according to claim 11, wherein, according to the first practical operation data and the desired operation data
Calculate the targeted customer includes to the interest deviation of the specified category：
Adjustment factor is determined according to the first practical operation data and the desired operation data, the adjustment factor is used to adjust
Save the interest deviation；And
The targeted customer couple is calculated according to the first practical operation data, the desired operation data and the adjustment factor
The interest deviation of the specified category.
7. method according to any one of claim 1 to 6, wherein, according to the first practical operation data and institute
Desired operation data are stated, after determining the targeted customer to the interest deviation of the specified category, methods described also includes：
Judge whether the targeted customer determined meets expectation index to the interest deviation of the specified category；And
If it is not, then filter out the first practical operation data.
8. a kind of data processing equipment, including：
First acquisition module, for obtaining first practical operation data of the targeted customer to specified category；
Second acquisition module, for obtaining desired operation data of the targeted customer to the specified category, wherein, the phase
Operation data is hoped to be used for the reference data to the interest deviation of the specified category as the measurement targeted customer, and the phase
Hope operation data multiple categories are operated to multiple users caused by practical operation data it is related, the specified category category
One kind in the multiple category；And
First determining module, for according to the first practical operation data and the desired operation data, determining the target
Interest deviation of the user to the specified category.
9. device according to claim 8, wherein, second acquisition module includes：
First determining unit, the probability occurred for determining event, wherein, the event is that the multiple user specifies to described
Category is operated；
Acquiring unit, for obtaining the second practical operation data, wherein, the second practical operation data are the targeted customer
The summation of practical operation data caused by being operated to the multiple category；And
Second determining unit, for the probability according to the second practical operation data and event generation, determine the phase
Hope operation data.
10. device according to claim 9, wherein, first determining unit includes：
First obtains subelement, for obtaining the 3rd practical operation data, wherein, the 3rd practical operation data include described
Multiple users the multiple category is operated caused by practical operation data summation；
Second obtains subelement, for obtaining the 4th practical operation data, wherein, the 4th practical operation data include described
Multiple users the specified category is operated caused by practical operation data summation；And
First determination subelement, for determining that the 4th practical operation data account for the 3rd practical operation data ratio, obtain
The probability occurred to the event.
11. device according to claim 8, wherein, first determining module includes：
Judging unit, for judging whether numerical value corresponding to the first practical operation data is more than the desired operation data pair
The numerical value answered；And
Second determining unit, for corresponding more than the desired operation data in numerical value corresponding to the first practical operation data
Numerical value in the case of, determine that the targeted customer is interested in the specified category.
12. device according to claim 8, wherein, first determining module includes：
Computing unit, for calculating the targeted customer couple according to the first practical operation data and the desired operation data
The interest deviation of the specified category；And
3rd determining unit, for determining that the targeted customer is inclined to the interest of the specified category according to the interest deviation
Difference.
13. device according to claim 12, wherein, the computing unit includes：
Second determination subelement, for determining regulation system according to the first practical operation data and the desired operation data
Number, the adjustment factor are used to adjust the interest deviation；And
Computation subunit, based on according to the first practical operation data, the desired operation data and the adjustment factor
Calculate interest deviation of the targeted customer to the specified category.
14. the device according to any one of claim 8 to 13, wherein, described device also includes：
Judge module, for according to the first practical operation data and the desired operation data, determining that the target is used
After family is to the interest deviation of the specified category, judge that the targeted customer determined is inclined to the interest of the specified category
Whether difference meets expectation index；And
Filtering module, for meeting expectation index to the interest deviation of the specified category in the targeted customer judged
In the case of, filter out the first practical operation data.
15. a kind of computer-readable recording medium, is stored thereon with executable instruction, the instruction is used for when being executed by processor
Realize the data processing method any one of claim 1 to 7.
16. a kind of data handling system, including：
Computer-readable recording medium described in claim 15；And
Processor described in claim 15.
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