CN108509569A - Generation method, device, electronic equipment and the storage medium of enterprise's portrait - Google Patents
Generation method, device, electronic equipment and the storage medium of enterprise's portrait Download PDFInfo
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Abstract
The embodiment of the invention discloses a kind of enterprise portrait generation method, device, electronic equipment and storage medium, the method includes：Business data of the Target Enterprise under at least one statistical dimension is captured in internet, and the business data of crawl is stored in corresponding statistical dimension grouping；With the matched business data of category attribute in being grouped according to statistical dimension, category attribute value of the Target Enterprise under at least one category attribute is determined；According to determining category attribute value corresponding with category attribute, Target Enterprise keyword corresponding with Target Enterprise is obtained；Enterprise's portrait of Target Enterprise is presented according to Target Enterprise keyword.The technical solution of the embodiment of the present invention is realized according to information disclosed in internet, targetedly under required statistical dimension, obtain enterprise's keyword for describing enterprise, and ultimately generate the technique effect of enterprise's portrait, the new paragon for providing a kind of generation enterprise portrait, that improves enterprise's portrait portrays precision to enterprise.
Description
Technical field
A kind of draw a portrait the present embodiments relate to technical field of data processing more particularly to enterprise generation method, device,
Electronic equipment and storage medium.
Background technology
With the continuous development of computer technology and big data technology, user portrait as one kind delineate target user,
The effective tool of user's demand and design direction is contacted, every field is widely used.So-called user draws a portrait, and is
Refer to the user model of the labeling gone out according to informations such as user's social property, living habit and consumer behaviors.Build user
The core work of portrait is to be labeled " " to user, and label is the highly refined spy by analyzing user information
Sign mark.
Main body of the enterprise as socio-economic activity, it is related to the various aspects of socio-economic activity.Correspondingly, people couple
Enterprise's portrait (namely：The user of enterprise-level draws a portrait) demand be also continuously improved, however, enterprise's portrait is drawn with personal user
As there is very big difference.Personal user's portrait is abstracted according to information such as user's social property, living habit and consumer behaviors
The user model of the labeling gone out.And enterprise is without these features.
Therefore, how there is enterprise that is accurate, targetedly generating for describing enterprise to draw a portrait, be current urgently to be resolved hurrily
An important topic.
Invention content
In view of this, the embodiment of the present invention provides a kind of generation method, device, electronic equipment and the calculating of enterprise's portrait
Machine storage medium, to optimize the generating mode of existing enterprise's portrait, that improves enterprise's portrait portrays precision to enterprise.
In a first aspect, an embodiment of the present invention provides a kind of generation methods of enterprise portrait, including：
Capture business data of the Target Enterprise under at least one statistical dimension in internet, and by the enterprise of crawl
Industry data are stored in corresponding statistical dimension grouping, wherein same statistical dimension corresponds at least one category attribute, inhomogeneity
Other attribute corresponds at least two category attribute values；
With the matched business data of category attribute in being grouped according to the statistical dimension, determine the Target Enterprise at least
Category attribute value under one category attribute；
According to the determining category attribute value corresponding with category attribute, target corresponding with the Target Enterprise is obtained
Enterprise's keyword；
Enterprise's portrait of the Target Enterprise is presented according to the Target Enterprise keyword.
Second aspect, the embodiment of the present invention additionally provide a kind of generating means of enterprise's portrait, including：
Business data handling module, for capturing enterprise of the Target Enterprise under at least one statistical dimension in internet
Data, and the business data of crawl is stored in the grouping of corresponding statistical dimension, wherein same statistical dimension correspond to
A few category attribute, different classes of attribute correspond at least two category attribute values；
Category attribute value determining module, for according to the statistical dimension be grouped in the matched enterprise's number of category attribute
According to determining category attribute value of the Target Enterprise under at least one category attribute；
Target Enterprise keyword acquisition module is used for according to the determining category attribute value corresponding with category attribute,
Obtain Target Enterprise keyword corresponding with the Target Enterprise；
Enterprise's portrait generation module, the enterprise for the Target Enterprise to be presented according to the Target Enterprise keyword draws
Picture.
The third aspect, the embodiment of the present invention additionally provide a kind of electronic equipment, and the electronic equipment includes：
One or more processors；
Storage device, for storing one or more programs；
When one or more of programs are executed by one or more of processors so that one or more of processing
Device realizes the generation method of above-mentioned involved any enterprise's portrait.
Fourth aspect, the embodiment of the present invention additionally provide a kind of computer storage media, are stored thereon with computer program,
The program realizes the generation method of above-mentioned involved any enterprise's portrait when being executed by processor.
The embodiment of the present invention by capturing business data of the Target Enterprise under at least one statistical dimension in internet,
According to the business data with different classes of attributes match, category attribute of the Target Enterprise under at least one category attribute is obtained
Value, and finally according to category attribute value, Target Enterprise keyword corresponding with Target Enterprise is obtained to generate the enterprise of Target Enterprise
Industry is drawn a portrait, and is realized according to information disclosed in internet, targetedly under required statistical dimension, is obtained for describing enterprise
Enterprise's keyword of industry, and the technique effect of enterprise's portrait is ultimately generated, a kind of new paragon of generation enterprise portrait is provided, is carried
Gao Liao enterprises portrait portrays precision to enterprise.
Description of the drawings
Fig. 1 a are a kind of flow charts of the generation method for enterprise portrait that the embodiment of the present invention one provides；
Fig. 1 b are a kind of generation block diagrams for enterprise's keyword that the embodiment of the present invention one provides；
Fig. 1 c are a kind of display schematic diagrams for enterprise portrait that the embodiment of the present invention one provides；
Fig. 1 d are the display schematic diagrams for another enterprise portrait that the embodiment of the present invention one provides；
Fig. 2 is a kind of flow chart of the generation method of enterprise's portrait provided by Embodiment 2 of the present invention；
Fig. 3 a are a kind of flow charts of the generation method for enterprise portrait that the embodiment of the present invention three provides；
Fig. 3 b are that a kind of enterprise's portrait based on disaggregated model that the embodiment of the present invention three provides generates block diagram；
Fig. 4 a are a kind of flow charts of the generation method for enterprise portrait that the embodiment of the present invention four provides；
Fig. 4 b are a kind of display schematic diagrams for enterprise portrait that the embodiment of the present invention four provides；
Fig. 5 is a kind of schematic diagram of the generating means for enterprise portrait that the embodiment of the present invention five provides；
Fig. 6 is a kind of structural schematic diagram for computer equipment that the embodiment of the present invention six provides.
Specific implementation mode
The present invention is described in further detail with reference to the accompanying drawings and examples.It is understood that this place is retouched
The specific embodiment stated is used only for explaining the present invention rather than limitation of the invention.It also should be noted that in order to just
Only the parts related to the present invention are shown in description, attached drawing rather than entire infrastructure.
It also should be noted that only the parts related to the present invention are shown for ease of description, in attached drawing rather than
Full content.It should be mentioned that some exemplary embodiments are described before exemplary embodiment is discussed in greater detail
At the processing or method described as flow chart.Although operations (or step) are described as the processing of sequence by flow chart,
It is that many of which operation can be implemented concurrently, concomitantly or simultaneously.In addition, the sequence of operations can be by again
It arranges.The processing can be terminated when its operations are completed, it is also possible to the additional step being not included in attached drawing.
The processing can correspond to method, function, regulation, subroutine, subprogram etc..
Embodiment one
Fig. 1 a are a kind of flow charts of the generation method for enterprise portrait that the embodiment of the present invention one provides, and the present embodiment can fit
For by enterprise's information disclosed in internet, generating the situation of enterprise's portrait corresponding with enterprise.This method can be by
The generating means of enterprise's portrait execute, which can be realized by the mode of software and/or hardware, and can generally be integrated in
In the computer equipment (for example, terminal or server etc.) that can realize enterprise's portrait systematic function, this method includes as follows
Operation：
S110, business data of the Target Enterprise under at least one statistical dimension is captured in internet, and by crawl
The business data is stored in corresponding statistical dimension grouping.
Wherein, same statistical dimension corresponds at least one category attribute, and different classes of attribute corresponds at least two classification categories
Property value.
In the present embodiment, the Target Enterprise can refer to the selected enterprise for needing to generate enterprise's portrait of party in request.
The statistical dimension can refer to the self-defined proposition of party in request or system fixed setting statistical parameter, the statistics ginseng
Number can be used for describing the attribute or feature in one or more direction of an enterprise.
Typically, the statistical dimension may include：Statistical parameter for weighing corporate social attribute, such as：Place
Region, place industry, scale and enterprise nature etc.；Statistical parameter for weighing enterprise management condition, for example, business is received
Enter, tax amount, recruitment, bidding and intellectual property etc.；Statistical parameter for weighing enterprise marketing feature, for example,
Communicative channel, contact level and communication depth etc.；And the statistical parameter of the risk profile for enterprise, for example, breaking one's promise
People, court action, administrative penalty, blacklist and operation are abnormal etc..It is, of course, understood that those skilled in the art can
To set other kinds of statistical dimension according to actual demand, the present embodiment is to this and is not limited.
The category attribute specifically refers to the statistical parameter of the statistical dimension next stage, wherein under a statistical dimension
Can there are one or multiple category attributes.The category attribute value, in particular in different enterprises under same category attribute
Multiple possible values.
In a specific example, if statistical dimension is enterprise's essential information, the classification under the statistical dimension
Attribute may include：Region, business age and business capital.Category attribute value corresponding with region may include：" Beijing ",
" Tianjin " and " Shanghai "；Category attribute value corresponding with business age may include：" 1 year or less ", " 2-5 " and " 5 years
More than "；Category attribute value corresponding with business capital may include：" 3,000,000 or less ", " 3,000,000-800 ten thousand " and " 8,000,000
More than " etc..
Typically, if a statistical dimension only corresponds to a category attribute, category attribute can be with statistical dimension phase
Unanimously, for example, a statistical dimension is to set the scope of the enterprise of industry, then the category attribute under the statistical dimension is also setting row
The scope of the enterprise of industry.In general, to scope of the enterprise under different industries (such as industry, construction industry or transportation etc.)
Description and differ, correspondingly, when determining scope of the enterprise, need with reference to the industry where enterprise.Correspondingly, with setting
Determining the corresponding category attribute value of scope of the enterprise of industry can be：" miniature ", " small-sized ", " medium-sized " and " large size " etc..
In the present embodiment, the Target Enterprise for needing to obtain enterprise's portrait is being determined, it, can be with such as after " XX companies "
With the enterprise name of the Target Enterprise, or build in advance with the enterprise associated seed dictionary (for example, enterprise referred to as, enterprise
Industry address or enterprise phone etc.) based on, search and the matched business data of Target Enterprise in internet.
Wherein it is possible to carry out the whole network search to the business data of the Target Enterprise in internet, can also only set
Website (for example, industrial and commercial website, recruitment website or reference website etc.) scans for the business data of the Target Enterprise, this reality
Example is applied to this and is not limited.
Further, can according to from the matched identidication key of different statistical dimensions, by the business data of crawl
It is stored in corresponding statistical dimension grouping.For example, identification corresponding with this statistical dimension of the scope of the enterprise under industry A is crucial
Word is " number " or " employee's sum "；Identidication key corresponding with enterprise's this statistical dimension of essential information be " place,
Location, creation time and registered capital etc. ".Based on from the matched identidication key of different statistical dimensions, can be by the enterprise of crawl
Industry purpose data classifying is in different statistical dimension groupings.
S120, according to the statistical dimension be grouped in the matched business data of category attribute, determine the Target Enterprise
Category attribute value under at least one category attribute.
In an optional embodiment of the present embodiment, fairly simple especially for some, specific classification category
Property, such as：Scope of the enterprise under industry A, can be by the extraction of the field value of critical field, and compares to obtain.Such as：
By in business data corresponding with scope of the enterprise this statistical dimension grouping of the Target Enterprise at industry A, searching " enterprise
The critical fielies such as scale " or " enterprise's number ", and the field value of above-mentioned critical field is obtained, such as：" 1000 people ", according to pre-
The correspondence first established：" 100-200 people：It is miniature ", " 200-500：It is small-sized ", " 500-1500：It is medium-sized " and：" 1500 with
On：It is large-scale ", it may be determined that the category attribute value under this category attribute of scope of the enterprise of the Target Enterprise at industry A be " in
Type ".
In another optional embodiment of the present embodiment, for some relatively more abstract or high level overview classes
Other attribute, such as：" enterprise maturity ", " enterprise innovation degree " or " enterprise investment risk " etc. can not be directly from company information
In directly determine the category attribute of corresponding category attribute value, the category attribute training classification mould of the above-mentioned type can be directed in advance
Type, the input of the disaggregated model be with the matched business data of category attribute, export as category attribute value.By using above-mentioned point
Class model can obtain category attribute value of the Target Enterprise under at least one category attribute.
S130, according to the determining category attribute value corresponding with category attribute, obtain corresponding with the Target Enterprise
Target Enterprise keyword.
Wherein, enterprise's keyword specifically refers to the descriptive text for the enterprise's portrait that can be used for weighing Target Enterprise.
In general, category attribute value is more specific, more quantifies, such as：Registered capital 5,000,000, business age 5 years is with first-class；And
Enterprise's keyword is then more popular in other words convenient for user's fast understanding enterprise, such as：" potentiality enterprise ", " having wealth and speak louder than others " or
Person " investment is preferred " etc..It certainly, can be directly using the category attribute value corresponding with category attribute as mesh under extreme case
Mark enterprise's keyword.
In an optional embodiment of the present embodiment, can pre-establish category attribute value and enterprise's keyword it
Between relationship table, by searching above-mentioned relation control based on the determining category attribute value corresponding with category attribute
Table can obtain Target Enterprise keyword corresponding with the Target Enterprise.
In another optional embodiment of the present embodiment, the life of one or more keyword can also be pre-established
At model, the input which generates model is category attribute value, is exported as enterprise's keyword.Pass through will determine and classification
The corresponding category attribute value of attribute is input to above-mentioned keyword and generates model, can obtain corresponding with the Target Enterprise
Target Enterprise keyword.
In order to make it easy to understand, showing a kind of generation frame for enterprise's keyword that the embodiment of the present invention one provides in Figure 1b
Figure, in this example, statistical dimension one category attribute of correspondence, category attribute one disaggregated model of correspondence, one
Category attribute value corresponds to a keyword.
As shown in Figure 1 b, Target Enterprise keyword corresponding with a Target Enterprise in order to obtain, can be first according to n
Statistical dimension (statistical dimension 1 ..., statistical dimension n) by the business data of Target Enterprise collect in n statistical dimension grouping in,
The m for example, being stored with data 1 in statistical dimension grouping corresponding with statistical dimension 1 ...l, statistical dimension corresponding with statistical dimension n
The m that data 1 is stored in grouping ...n。
According to set algorithm (using clustering algorithm as example in Fig. 1 b), it is previously obtained corresponding respectively with n statistical dimension
N disaggregated model, different classifications model corresponds to different category attributes, for exporting from different business data different classes of
Category attribute value under attribute.For example, disaggregated model 1 corresponds to K1A category attribute value (classification 1 ... K1), disaggregated model n corresponds to Kn
A category attribute value (classification 1 ... Kn), after being input to corresponding disaggregated model by the data stored in being grouped statistical dimension,
It can obtain being grouped corresponding n category attribute value with each statistical dimension.It is crucial according to category attribute value and enterprise
One-to-one relationship between word may finally obtain n Target Enterprise keyword corresponding with Target Enterprise.
S140, enterprise's portrait that the Target Enterprise is presented according to the Target Enterprise keyword.
In the present embodiment, the Target Enterprise keyword that enterprise's portrait is specifically obtained by abovementioned steps obtains.Accordingly
, the mode of party in request's customization or prespecified mode can be chosen, target is presented based on the Target Enterprise keyword
The enterprise of enterprise draws a portrait.
Non-limiting as example, enterprise's portrait of two kinds of Target Enterprises is respectively illustrated in Fig. 1 c and Fig. 1 d is in
Existing mode.
As illustrated in figure 1 c, enterprise's mark of Target Enterprise can be presented (for example, enterprise Logo, enterprise's letter in center
Title or enterprise's abbreviation etc.), Target Enterprise keyword corresponding with the Target Enterprise is identified in the enterprise in an orbiting manner
Around be shown with obtain enterprise portrait；It as shown in Figure 1 d, can will Target Enterprise keyword corresponding with Target Enterprise
It is filled in the figure (for example, shape of enterprise Logo or enterprise's typical characteristics object) of setting shape, to obtain enterprise's portrait
Deng.
Certainly, can enterprise's portrait, this implementation be otherwise presented according to actual needs in those skilled in the art
Example is to this and is not limited.
The embodiment of the present invention by capturing business data of the Target Enterprise under at least one statistical dimension in internet,
According to the business data with different classes of attributes match, category attribute of the Target Enterprise under at least one category attribute is obtained
Value, and finally according to category attribute value, Target Enterprise keyword corresponding with Target Enterprise is obtained to generate the enterprise of Target Enterprise
Industry is drawn a portrait, and is realized according to information disclosed in internet, targetedly under required statistical dimension, is obtained for describing enterprise
Enterprise's keyword of industry, and the technique effect of enterprise's portrait is ultimately generated, a kind of new paragon of generation enterprise portrait is provided, is carried
Gao Liao enterprises portrait portrays precision to enterprise.
Embodiment two
Fig. 2 is a kind of flow chart of the generation method of enterprise portrait provided by Embodiment 2 of the present invention, more than the present embodiment
It states and is embodied based on embodiment, in the present embodiment, be matched with category attribute in being grouped according to the statistical dimension
Business data, determine category attribute value of the Target Enterprise under at least one category attribute, specially：Obtain the system
The business data with target category attributes match in dimension grouping is counted, as currently processed data；In the currently processed data
In, search field value corresponding at least one critical field；According at least one field value found, determine described in
Category attribute value of the Target Enterprise under the target category attribute；
And it by according to the determining category attribute value corresponding with category attribute, obtains and the Target Enterprise pair
The Target Enterprise keyword answered, specially：According to the determining category attribute value corresponding with category attribute and preset class
Mapping relations between other attribute value and enterprise's keyword obtain Target Enterprise keyword corresponding with Target Enterprise.Correspondingly,
The method of the present embodiment may include：
S210, business data of the Target Enterprise under at least one statistical dimension is captured in internet, and by crawl
The business data is stored in corresponding statistical dimension grouping.
Wherein, same statistical dimension corresponds at least one category attribute, and different classes of attribute corresponds at least two classification categories
Property value.
S220, the business data with target category attributes match in the statistical dimension grouping is obtained, as currently processed
Data.
In the present embodiment, it, to the business data for the attribute of all categories answered respectively, is obtained according to the grouping of same statistical dimension
To category attribute value of the Target Enterprise under the attribute of all categories that the statistical dimension is grouped, and it can obtain and each count in turn
The category attribute value of each category attribute in dimension grouping.
S230, in the currently processed data, search corresponding at least one critical field field value.
Wherein, the critical field specifically refers to predefine, strongly connected with the category attribute value of the category attribute
Keyword.For example, if a category attribute corresponding with Target Enterprise is " their location ", it is corresponding with category attribute
Critical field can be：" office ", " general headquarters " or " enterprise address " etc..
After the critical field in determining currently processed data, by setting equivalence relation word in critical field look-around
Symbol (such as：" being in ", " being located at ", " being set to " or " for " etc.), field value corresponding with critical field can be finally obtained.
For example, for " location " this category attribute in statistical dimension grouping, currently processed data are：" XX companies
General headquarters be located at Beijing ", preset critical field be " general headquarters ", preset equivalence relation character be " being located at ",
By being searched in above-mentioned data, " Beijing " this field value can be finally obtained.
At least one field value that S240, basis are found, determines the Target Enterprise in the target category category
Category attribute value under property.
In the present embodiment, can be passed through according to the correspondence between the field value and category attribute value pre-established
The field value found, the final category attribute value for determining Target Enterprise in the case where setting category attribute.
Such as：It is corresponding between the field value pre-established for " location " this category attribute and category attribute value
Relationship is：" Beijing, Shanghai, Shenzhen "<——>" a line city "；" Tianjin, Nanjing, Guangzhou "<——>" tier 2 cities ", according to
The field value " Beijing " that precedent determines, then can finally determine category attribute value corresponding with " location " this category attribute
For " a line city ".
S250, according to the determining category attribute value corresponding with category attribute and preset category attribute value and enterprise
Mapping relations between industry keyword obtain Target Enterprise keyword corresponding with Target Enterprise.
In the present embodiment, the one-to-one relationship between category attribute value and enterprise's keyword, Ke Yijian can be established
Stand two or more category attribute values (belong to same statistical dimension and either belong to different statistical dimensions) with one or
Correspondence between multiple enterprise's keywords, the present embodiment is to this and is not limited.
S260, enterprise's portrait that the Target Enterprise is presented according to the Target Enterprise keyword.
The technical solution of the embodiment of the present invention by using the characteristic attribute for directly including in business data (critical field
Field value), it determines category attribute value of the Target Enterprise in the case where setting category attribute, gives a kind of relatively more intuitive or specific
Category attribute under determine the method for corresponding category attribute value, can fast and accurately determine corresponding with this kind of category attribute
Enterprise's keyword.
Embodiment three
Fig. 3 a are a kind of flow charts of the generation method for enterprise portrait that the embodiment of the present invention three provides, more than the present embodiment
It states and is embodied based on embodiment, in the present embodiment, be matched with category attribute in being grouped according to the statistical dimension
Business data, determine category attribute value of the Target Enterprise under at least one category attribute, specially：Obtain the system
The business data with target category attributes match in dimension grouping is counted, as currently processed data；By the currently processed data,
Be input to in the object-class model of the target category attributes match, and by the output of the object-class model as a result,
As category attribute value of the Target Enterprise under the target category attribute；
And it by according to the determining category attribute value corresponding with category attribute, obtains and the Target Enterprise pair
The Target Enterprise keyword answered, specially：Will the category attribute value corresponding with category attribute, be input at least one key
Word generates in model, and at least one keyword is generated the output of model as a result, as corresponding with the Target Enterprise
Target Enterprise keyword.Correspondingly, the method for the present embodiment may include：
S310, business data of the Target Enterprise under at least one statistical dimension is captured in internet, and by crawl
The business data is stored in corresponding statistical dimension grouping.
Wherein, same statistical dimension corresponds at least one category attribute, and different classes of attribute corresponds at least two classification categories
Property value.
S320, the business data with target category attributes match in the statistical dimension grouping is obtained, as currently processed
Data.
S330, by the currently processed data, be input to in the object-class model of the target category attributes match,
And the object-class model is exported into the category attribute as a result, as the Target Enterprise under the target category attribute
Value.
Correspondingly, by the currently processed data, it is input to the target classification mould with the target category attributes match
Before in type, further include：
Obtain sample data corresponding at least one category attribute of at least one statistical dimension, wherein in the sample
The category attribute value under category attribute is labeled in notebook data in advance；Using the sample data, pair with corresponding classification category
The matched criteria classification model of property is trained, and is obtained and the matched disaggregated model of category attribute.
In a specific example, it can be directed to one or more selected enterprise in advance, on the internet acquisition enterprise
Industry mass data collection, and (set a statistical dimension according to preset m statistical dimension and only correspond to a category attribute),
Classification information corresponding with m category attribute is obtained, by clustering algorithm, is obtained corresponding with different classifications information
Xk classification collection, k ∈ [1, m]；And according to corresponding between classification collection and keyword (that is, previously described category attribute value)
Relationship determines Xk category attribute values corresponding with Xk classification collection, and finally establishes corresponding respectively with m category attribute
M disaggregated model.
In a specific example：The category attribute of one " scope of the enterprise of setting industry " is clustered, there are
To four classification collection, that is, different classes of collection corresponds to different category attribute values, namely：Category attribute A corresponds to " small ", classification
Attribute B correspond to " in ", category attribute C correspond to " big " and category attribute D correspondences " super large ".By using being labeled with corresponding classification
Attribute value one criteria classification model of classification set pair (such as：Supporting vector machine model, classification-tree method or regression model
Deng) be trained, it can obtain and the matched disaggregated model of category attribute.Correspondingly, Target Enterprise " is set industry again
The matched business data of scope of the enterprise " is input to trained in advance and " scope of the enterprise of setting industry " matched disaggregated model
Afterwards, category attribute value corresponding with " scope of the enterprise of setting industry " of Target Enterprise can be obtained.
It should be noted that obtaining classification category corresponding with different classes of attribute by way of train classification models
Property value, may be implemented disaggregated model as input data is into the newer effect of Mobile state, can disaggregated model constantly be adapted to
The new data occurred in internet, the versatility of scheme and more adaptable.
S340, will the category attribute value corresponding with category attribute, be input at least one keyword and generate in model,
And at least one keyword is generated into the output of model as a result, as Target Enterprise corresponding with Target Enterprise key
Word.
Wherein, same keyword generates model and corresponds at least one category attribute.
Similar, linear or non-linear relation between category attribute value and enterprise's keyword is established by training in advance
Keyword generate model, the category attribute value according to input may be implemented, obtain corresponding Target Enterprise keyword.
Typically, it can be directed to different category attributes, the different keyword of training generates model, can also be directed to multiple
Category attribute, the unified keyword of training generate model, and the present embodiment is to this and is not limited.
S350, enterprise's portrait that the Target Enterprise is presented according to the Target Enterprise keyword.
Wherein, a kind of enterprise's portrait based on disaggregated model that the embodiment of the present invention three provides shown in fig. 3b generates
Block diagram.As shown in Figure 3b, pass through " acquisition enterprise magnanimity information->Extract classification information m->Cluster forms classification information mXk-
>Classification corresponds to keyword (category attribute value) mXk->The mode of model foundation m " finally establishes and distinguishes with m category attribute
After corresponding m disaggregated model, certain company information is being obtained, and it is corresponding to obtain the category attribute different from the enterprise
After business data, after business data is separately input into corresponding disaggregated model, the m that can be exported based on disaggregated model is a
Category attribute value finally obtains the enterprise for describing the enterprise and draws a portrait.
The technical solution of the embodiment of the present invention is based on the classification mould by training and the matched disaggregated model of category attribute
Type obtains category attribute value corresponding with category attribute, may be implemented for relatively more abstract or high level overview classification category
Property, effectively determine the technique effect of corresponding category attribute value, versatility and applicability are stronger.
Need it is once more emphasized that, can be according to classification in practical determination category attribute value corresponding with category attribute
The concrete type of attribute by way of determining category attribute value the field value for extracting critical field, and passes through mould of classifying
Type determines that the mode of category attribute value is combined use, to further increase the validity of scheme.
Example IV
Fig. 4 a are a kind of flow charts of the generation method for enterprise portrait that the embodiment of the present invention three provides, more than the present embodiment
It states and is embodied based on embodiment, in the present embodiment, the target will be presented according to the Target Enterprise keyword and look forward to
The enterprise of industry draws a portrait, specially：Enterprise's mark of the Target Enterprise is presented in the circular central in the circle of construction setting radius
Know；According to the quantity of the statistical dimension, and category attribute corresponding from different statistical dimensions quantity, will be described circular
Circumference carries out cutting and extends out, and obtains circular arc corresponding from different statistical dimensions；It is presented close to the side in the center of circle in the circular arc
Corresponding statistical dimension, and in side of the circular arc far from the center of circle, Target Enterprise corresponding with statistical dimension is presented and closes
Key word.Correspondingly, the method for the present embodiment may include：
S410, business data of the Target Enterprise under at least one statistical dimension is captured in internet, and by crawl
The business data is stored in corresponding statistical dimension grouping.
Wherein, same statistical dimension corresponds at least one category attribute, and different classes of attribute corresponds at least two classification categories
Property value.
S420, according to the statistical dimension be grouped in the matched business data of category attribute, determine the Target Enterprise
Category attribute value under at least one category attribute.
S430, according to the determining category attribute value corresponding with category attribute, obtain corresponding with the Target Enterprise
Target Enterprise keyword.
Enterprise's mark of the Target Enterprise is presented in the circular central in the circle of S440, construction setting radius.
S450, according to the quantity of the statistical dimension, and category attribute corresponding from different statistical dimensions quantity, will
The circular circumference carries out cutting and extends out, and obtains circular arc corresponding from different statistical dimensions.
S460, corresponding statistical dimension is presented close to the side in the center of circle in the circular arc, and in the circular arc far from described
Target Enterprise keyword corresponding with statistical dimension is presented in the side in the center of circle.
Wherein, a kind of display schematic diagram for the enterprise portrait that the embodiment of the present invention four provides shown in fig. 4b.Such as figure
Shown in 4b, enterprise's mark of heart display target enterprise, shows respectively in rounded off inside there are three statistical dimension in a circle,
I.e.：" management state ", " risk profile " and " basic information ", according to the quantity for the category attribute for including under different statistics, with
The length of the corresponding circular arc of different statistical dimensions is different.The outside of different circular arcs shows the classification of corresponding category attribute respectively
Attribute value (in fig. 4b for example, only identifies general category attribute and does not identify actual category attribute value).
Further, different classes of attribute value can be distinctly displayed according to the importance grade of preset different classes of attribute
(for example, with " " IT technologies " the display size of the corresponding circle of this category attribute maximum).
The technical solution of the embodiment of the present invention has given a kind of effective method that enterprise's portrait is presented, and is drawn a portrait by above-mentioned enterprise
Presentation mode, user can fast and effectively each category attribute of the master goal enterprise under different statistical dimensions class
Other attribute value, it is further provided user experience.
Embodiment five
Fig. 5 is a kind of schematic diagram of the generating means for enterprise portrait that the embodiment of the present invention five provides, as shown in figure 5, institute
Stating device includes：Business data handling module 510, category attribute value determining module 520, Target Enterprise keyword acquisition module
530 and enterprise draw a portrait generation module 540.Wherein：
Business data handling module 510, for capturing Target Enterprise in internet under at least one statistical dimension
Business data, and the business data of crawl is stored in corresponding statistical dimension grouping, wherein same statistical dimension pair
At least one category attribute, different classes of attribute is answered to correspond at least two category attribute values.
Category attribute value determining module 520, for according to the statistical dimension be grouped in the matched enterprise of category attribute
Data determine category attribute value of the Target Enterprise under at least one category attribute.
Target Enterprise keyword acquisition module 530, for according to the determining category attribute corresponding with category attribute
Value, obtains Target Enterprise keyword corresponding with the Target Enterprise.
Enterprise's portrait generation module 540, the enterprise for the Target Enterprise to be presented according to the Target Enterprise keyword
Portrait.
The embodiment of the present invention by capturing business data of the Target Enterprise under at least one statistical dimension in internet,
According to the business data with different classes of attributes match, category attribute of the Target Enterprise under at least one category attribute is obtained
Value, and finally according to category attribute value, Target Enterprise keyword corresponding with Target Enterprise is obtained to generate the enterprise of Target Enterprise
Industry is drawn a portrait, and is realized according to information disclosed in internet, targetedly under required statistical dimension, is obtained for describing enterprise
Enterprise's keyword of industry, and the technique effect of enterprise's portrait is ultimately generated, a kind of new paragon of generation enterprise portrait is provided, is carried
Gao Liao enterprises portrait portrays precision to enterprise.
On the basis of the various embodiments described above, category attribute value determining module 520 can be specifically used for：
The business data with target category attributes match in the statistical dimension grouping is obtained, as currently processed data；
In the currently processed data, field value corresponding at least one critical field is searched；It is at least one according to what is found
The field value determines category attribute value of the Target Enterprise under the target category attribute.
On the basis of the various embodiments described above, category attribute value determining module 520 can be specifically used for：
The business data with target category attributes match in the statistical dimension grouping is obtained, as currently processed data；
By the currently processed data, be input to in the object-class model of the target category attributes match, and by the target
Disaggregated model exports the category attribute value as a result, as the Target Enterprise under the target category attribute.
On the basis of the various embodiments described above, can also include, disaggregated model generation module, for by the current place
Manage data, be input to in the object-class model of the target category attributes match before, obtain at least one statistics dimension
The corresponding sample data of at least one category attribute of degree, wherein be labeled in advance in category attribute in the sample data
Under category attribute value；Using the sample data, pair it is trained with the matched criteria classification model of corresponding category attribute,
It obtains and the matched disaggregated model of category attribute.
On the basis of the various embodiments described above, Target Enterprise keyword acquisition module 530 can be used for：
It is closed with enterprise according to the determining category attribute value corresponding with category attribute and preset category attribute value
Mapping relations between key word obtain Target Enterprise keyword corresponding with Target Enterprise.
On the basis of the various embodiments described above, Target Enterprise keyword acquisition module 530 can be used for：It will be with classification category
Property the corresponding category attribute value, being input at least one keyword generates in model, and by least one keyword
The output of model is generated as a result, as Target Enterprise keyword corresponding with the Target Enterprise；Wherein, same keyword generates
Model corresponds at least one category attribute.
On the basis of the various embodiments described above, enterprise's portrait generation module 540 can be used for：The circle of construction setting radius
Enterprise's mark of the Target Enterprise is presented in the circular central in shape；According to the quantity of the statistical dimension, and with difference
The circular circumference is carried out cutting and extended out by the quantity of the corresponding category attribute of statistical dimension, obtains tieing up from different statistics
Spend corresponding circular arc；Corresponding statistical dimension is presented close to the side in the center of circle in the circular arc, and in the circular arc far from described
Target Enterprise keyword corresponding with statistical dimension is presented in the side in the center of circle.
The generating means of above-mentioned enterprise's portrait can perform the generation side for enterprise's portrait that any embodiment of the present invention is provided
Method has the corresponding function module of execution method and advantageous effect.The not technical detail of detailed description in the present embodiment, can join
See the generation method for enterprise's portrait that any embodiment of the present invention provides.
Embodiment six
Fig. 6 is a kind of structural schematic diagram for computer equipment that the embodiment of the present invention six provides.Fig. 6 is shown suitable for being used for
Realize the block diagram of the exemplary computer device 12 of embodiment of the present invention.The computer equipment 12 that Fig. 6 is shown is only one
Example should not bring any restrictions to the function and use scope of the embodiment of the present invention.
As shown in fig. 6, computer equipment 12 is showed in the form of universal computing device.The component of computer equipment 12 can be with
Including but not limited to：One or more processor or processing unit 16, system storage 28 connect different system component
The bus 18 of (including system storage 28 and processing unit 16).
Bus 18 indicates one or more in a few class bus structures, including memory bus or Memory Controller,
Peripheral bus, graphics acceleration port, processor or the local bus using the arbitrary bus structures in a variety of bus structures.It lifts
For example, these architectures include but not limited to industry standard architecture (ISA) bus, microchannel architecture (MAC)
Bus, enhanced isa bus, Video Electronics Standards Association (VESA) local bus and peripheral component interconnection (PCI) bus.
Computer equipment 12 typically comprises a variety of computer system readable media.These media can be it is any can be by
The usable medium that computer equipment 12 accesses, including volatile and non-volatile media, moveable and immovable medium.
System storage 28 may include the computer system readable media of form of volatile memory, such as arbitrary access
Memory (RAM) 30 and/or cache memory 32.Computer equipment 12 may further include it is other it is removable/can not
Mobile, volatile/non-volatile computer system storage medium.Only as an example, storage system 34 can be used for reading and writing not
Movably, non-volatile magnetic media (Fig. 6 do not show, commonly referred to as " hard disk drive ").It, can be with although being not shown in Fig. 6
It provides for the disc driver to moving non-volatile magnetic disk (such as " floppy disk ") read-write, and to removable non-volatile
The CD drive of CD (such as CD-ROM, DVD-ROM or other optical mediums) read-write.In these cases, each driving
Device can be connected by one or more data media interfaces with bus 18.Memory 28 may include at least one program production
There is one group of (for example, at least one) program module, these program modules to be configured to perform of the invention each for product, the program product
The function of embodiment.
Program/utility 40 with one group of (at least one) program module 42 can be stored in such as memory 28
In, such program module 42 includes --- but being not limited to --- operating system, one or more application program, other programs
Module and program data may include the realization of network environment in each or certain combination in these examples.Program mould
Block 42 usually executes function and/or method in embodiment described in the invention.
Computer equipment 12 can also be with one or more external equipments 14 (such as keyboard, sensing equipment, display 24
Deng) communication, can also be enabled a user to one or more equipment interact with the computer equipment 12 communicate, and/or with make
The computer equipment 12 any equipment (such as network interface card, the modulatedemodulate that can be communicated with one or more of the other computing device
Adjust device etc.) communication.This communication can be carried out by input/output (I/O) interface 22.Also, computer equipment 12 may be used also
To pass through network adapter 20 and one or more network (such as LAN (LAN), wide area network (WAN) and/or public network
Network, such as internet) communication.As shown in fig. 6, network adapter 20 is logical by bus 18 and other modules of computer equipment 12
Letter.It should be understood that although being not shown in Fig. 6, other hardware and/or software module, packet can be used in conjunction with computer equipment 12
It includes but is not limited to：Microcode, device driver, redundant processing unit, external disk drive array, RAID system, magnetic tape drive
Device and data backup storage system etc..
Processing unit 16 is stored in program in system storage 28 by operation, to perform various functions application and
Data processing, such as realize a kind of generation method for enterprise portrait that the embodiment of the present invention is provided.
That is, the processing unit is realized when executing described program：Target Enterprise is captured in internet at least one
Business data under statistical dimension, and the business data of crawl is stored in corresponding statistical dimension grouping, wherein it is same
One statistical dimension corresponds at least one category attribute, and different classes of attribute corresponds at least two category attribute values；According to the system
It counts in dimension grouping with the matched business data of category attribute, determines class of the Target Enterprise under at least one category attribute
Other attribute value；According to the determining category attribute value corresponding with category attribute, mesh corresponding with the Target Enterprise is obtained
Mark enterprise's keyword；Enterprise's portrait of the Target Enterprise is presented according to the Target Enterprise keyword.
Embodiment seven
The embodiment of the present invention seven also provides a kind of computer storage media of storage computer program, the computer program
Generation method when being executed by computer processor for executing any enterprise's portrait of the above embodiment of the present invention.
That is, the processing unit is realized when executing described program：Target Enterprise is captured in internet at least one
Business data under statistical dimension, and the business data of crawl is stored in corresponding statistical dimension grouping, wherein it is same
One statistical dimension corresponds at least one category attribute, and different classes of attribute corresponds at least two category attribute values；According to the system
It counts in dimension grouping with the matched business data of category attribute, determines class of the Target Enterprise under at least one category attribute
Other attribute value；According to the determining category attribute value corresponding with category attribute, mesh corresponding with the Target Enterprise is obtained
Mark enterprise's keyword；Enterprise's portrait of the Target Enterprise is presented according to the Target Enterprise keyword.
The arbitrary of one or more computer-readable media may be used in the computer storage media of the embodiment of the present invention
Combination.Computer-readable medium can be computer-readable signal media or computer readable storage medium.It is computer-readable
Storage medium for example may be-but not limited to-the system of electricity, magnetic, optical, electromagnetic, infrared ray or semiconductor, device or
Device, or the arbitrary above combination.The more specific example (non exhaustive list) of computer readable storage medium includes：Tool
There are one or the electrical connection of multiple conducting wires, portable computer diskette, hard disk, random access memory (RAM), read-only memory
(Read Only Memory, ROM), erasable programmable read only memory ((Erasable Programmable Read
Only Memory, EPROM) or flash memory), optical fiber, portable compact disc read-only memory (CD-ROM), light storage device, magnetic
Memory device or above-mentioned any appropriate combination.In this document, can be any include computer readable storage medium
Or the tangible medium of storage program, which can be commanded execution system, device, and either device uses or in connection makes
With.
Computer-readable signal media may include in a base band or as the data-signal that a carrier wave part is propagated,
Wherein carry computer-readable program code.Diversified forms may be used in the data-signal of this propagation, 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 other than storage medium is read, which can send, propagates or transmit and be used for
By instruction execution system, device either device use or program in connection.
The program code for including on computer-readable medium can transmit with any suitable medium, including --- but it is unlimited
In wireless, electric wire, optical cable, radio frequency (Radio Frequency, RF) etc. or above-mentioned any appropriate combination.
It can be write with one or more programming languages or combinations thereof for executing the computer that operates of the present invention
Program code, described program design language include object oriented program language-such as Java, Smalltalk, C++,
Further include conventional procedural programming language --- such as " C " language or similar programming language.Program code can
Fully to execute on the user computer, partly execute, executed as an independent software package on the user computer,
Part executes or executes on a remote computer or server completely on the remote computer on the user computer for part.
In situations involving remote computers, remote computer can pass through the network of any kind --- including LAN (LAN)
Or wide area network (WAN)-is connected to subscriber computer, or, it may be connected to outer computer (such as utilize Internet service
Provider is connected by internet).
Note that above are only presently preferred embodiments of the present invention and institute's application technology principle.It will be appreciated by those skilled in the art that
The present invention is not limited to specific embodiments described here, can carry out for a person skilled in the art it is various it is apparent variation,
It readjusts and substitutes without departing from protection scope of the present invention.Therefore, although being carried out to the present invention by above example
It is described in further detail, but the present invention is not limited only to above example, without departing from the inventive concept, also
May include other more equivalent embodiments, and the scope of the present invention is determined by scope of the appended claims.
Claims (10)
1. a kind of generation method of enterprise's portrait, which is characterized in that including：
Capture business data of the Target Enterprise under at least one statistical dimension in internet, and by enterprise's number of crawl
According to being stored in the grouping of corresponding statistical dimension, wherein same statistical dimension corresponds at least one category attribute, different classes of category
Property correspond at least two category attribute values；
With the matched business data of category attribute in being grouped according to the statistical dimension, determine the Target Enterprise at least one
Category attribute value under category attribute；
According to the determining category attribute value corresponding with category attribute, Target Enterprise corresponding with the Target Enterprise is obtained
Keyword；
Enterprise's portrait of the Target Enterprise is presented according to the Target Enterprise keyword.
2. according to the method described in claim 1, it is characterized in that, being matched with category attribute in being grouped according to the statistical dimension
Business data, determine category attribute value of the Target Enterprise under at least one category attribute, including：
The business data with target category attributes match in the statistical dimension grouping is obtained, as currently processed data；
In the currently processed data, field value corresponding at least one critical field is searched；
According at least one field value found, classification of the Target Enterprise under the target category attribute is determined
Attribute value.
3. according to the method described in claim 1, it is characterized in that, being matched with category attribute in being grouped according to the statistical dimension
Business data, determine category attribute value of the Target Enterprise under at least one category attribute, including：
The business data with target category attributes match in the statistical dimension grouping is obtained, as currently processed data；
By the currently processed data, be input to in the object-class model of the target category attributes match, and will be described
Object-class model exports the category attribute value as a result, as the Target Enterprise under the target category attribute.
4. according to the method described in claim 3, it is characterized in that, by the currently processed data, it is input to and the mesh
Before marking in the matched object-class model of category attribute, further include：
Obtain sample data corresponding at least one category attribute of at least one statistical dimension, wherein in the sample number
It is labeled with the category attribute value under category attribute in advance in；
It using the sample data, pair is trained, obtains and classification with the matched criteria classification model of corresponding category attribute
The disaggregated model of attributes match.
5. according to claim 1-4 any one of them methods, which is characterized in that according to determining institute corresponding with category attribute
Category attribute value is stated, Target Enterprise keyword corresponding with the Target Enterprise is obtained, including：
According to the determining category attribute value corresponding with category attribute and preset category attribute value and enterprise's keyword
Between mapping relations, obtain Target Enterprise keyword corresponding with Target Enterprise.
6. according to claim 1-4 any one of them methods, which is characterized in that according to determining institute corresponding with category attribute
Category attribute value is stated, Target Enterprise keyword corresponding with the Target Enterprise is obtained, including：
Will the category attribute value corresponding with category attribute, be input at least one keyword and generate in model, and will be described
At least one keyword generates the output of model as a result, as Target Enterprise keyword corresponding with the Target Enterprise；
Wherein, same keyword generates model and corresponds at least one category attribute.
7. according to the method described in claim 1, being looked forward to it is characterized in that, the target is presented according to the Target Enterprise keyword
The enterprise of industry draws a portrait, including：
Enterprise's mark of the Target Enterprise is presented in the circular central in the circle of construction setting radius；
According to the quantity of the statistical dimension, and category attribute corresponding from different statistical dimensions quantity, by the circle
Circumference cutting and extend out, obtain circular arc corresponding from different statistical dimensions；
Be presented corresponding statistical dimension close to the side in the center of circle in the circular arc, and the circular arc far from the center of circle one
Target Enterprise keyword corresponding with statistical dimension is presented in side.
8. a kind of generating means of enterprise's portrait, which is characterized in that including：
Business data handling module, for capturing enterprise number of the Target Enterprise under at least one statistical dimension in internet
According to, and the business data of crawl is stored in corresponding statistical dimension grouping, wherein same statistical dimension corresponds at least
One category attribute, different classes of attribute correspond at least two category attribute values；
Category attribute value determining module, for according to the statistical dimension be grouped in the matched business data of category attribute, really
Fixed category attribute value of the Target Enterprise under at least one category attribute；
Target Enterprise keyword acquisition module, for according to the determining category attribute value corresponding with category attribute, obtaining
Target Enterprise keyword corresponding with the Target Enterprise；
Enterprise's portrait generation module, the enterprise for the Target Enterprise to be presented according to the Target Enterprise keyword draws a portrait.
9. a kind of electronic equipment, which is characterized in that the electronic equipment includes：
One or more processors；
Storage device, for storing one or more programs,
When one or more of programs are executed by one or more of processors so that one or more of processors are real
The now generation method of enterprise's portrait as described in any in claim 1-7.
10. a kind of computer storage media, is stored thereon with computer program, which is characterized in that the program is executed by processor
The generation method of enterprise portraits of the Shi Shixian as described in any in claim 1-7.
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