CN109034554A - Correlation calculations method and system - Google Patents
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Abstract
The invention discloses a kind of correlation calculations method and system, this method comprises: step S1: obtaining the generic business documentation of target business file and several passing participations of enterprise;Step S2: compare the target business file with the similitude of the generic business documentation of several passing participations;Step S3: the correlation of the target business file and the enterprise is determined according to the comparison result.Correlation calculations method provided by the invention, by the generic business documentation for obtaining the passing participation of enterprise, and target business file is subjected to similarity system design with the generic business documentation of the passing participation of enterprise, the correlation between target business file and enterprise is determined according to the result of the comparison, and then it can decide whether as bidding document needed for enterprise, it can extend efficient help during information on bidding needed for itself is found by enterprise for enterprise, greatly reduce cost of labor, the time cost of enterprise.
Description
Technical field
The present invention relates to field of computer technology, especially a kind of correlation calculations method and system.
Background technique
Currently, enterprise obtains real-time update the bidding information for meeting itself with the fast development of market economy
Demand it is higher and higher, but at present enterprise obtain information on bidding mode mainly use manual type actively look for, by
More at random in the publication address of information on bidding, enterprise generally requires to search in the address of many places during searching, and needs
The related personnel of enterprise is wanted to read bulk information, information on bidding needed for judging whether it is this enterprise by manual type is this
Mode considerably increases the cost of labor of enterprise, time cost.
Summary of the invention
In view of this, one of the objects of the present invention is to provide a kind of correlation calculations method and system, it can be in enterprise
It finds and is extended efficient help during the information on bidding needed for itself for enterprise, reduce cost of labor, the time cost of enterprise.
In order to achieve the above objectives, technical solution of the present invention provides the correlation calculations side of a kind of business documentation and enterprise
Method, comprising:
Step S1: the generic business documentation of target business file and several passing participations of enterprise is obtained;
Step S2: the target business file with several passing participations generic business documentation it is similar
Property;
Step S3: the correlation of the target business file and the enterprise is determined according to the comparison result.
Preferably, before the step S3, the method also includes step S101~step S104:
Step S101: the commodity classification directory tree of multi-branch tree data structure is obtained;
Step S102: the commodity items information in the target business file is extracted, is obtained in the target business file
Commodity items information in the position (wx, wy) of the commodity classification directory tree, wherein wx be the target business file in
For commodity items information in the range of the commodity classification directory tree, wy is that the commodity items information in the target business file exists
The depth of the commodity classification directory tree;
Step S103: obtaining the commodity items information of the enterprise, obtains the commodity items information of the enterprise described
The position (x, y) of commodity classification directory tree, wherein x is the commodity items information of the enterprise in the commodity classification directory tree
Range, y be the enterprise commodity items information the commodity classification directory tree depth;
Step S104: the items distance disWCP of the target business file Yu the enterprise is calculated in the following ways;
DisWCP=max (abs (wx-x), abs (wy-y));
Wherein, abs is to calculate ABS function, and max is selection max function;
Wherein, in the step S3, the target business file and institute are determined also according to the items distance disWCP
State the correlation of enterprise.
Preferably, before step S3, the method also includes step S201~step S202;
Step S201: registered capital information and/or the enterprise number information of the enterprise are obtained;
Step S202: it is drawn according to the registered capital information of the enterprise and/or enterprise number information and preset grade
Divider then determines the registered capital grade and/or enterprise's number grade of the enterprise;
Wherein, in the step S3, it is determined also according to the registered capital grade of the enterprise and/or enterprise's number grade
The correlation of the target business file and the enterprise.
Preferably, the step S2 includes:
Step S2a: the target business file is calculated with the phase of the generic business documentation of passing participation described in each
Like degree;
Step S2b: the similarity that step S2a is obtained is averaging, average value SimilarityWC is obtained.
Preferably, in the step S3, the phase of the target business file and the enterprise is determined in the following ways
Guan Xing:
NCV=a*SimilarityWC+b/disWCP+c*registeredcapital+d*HumanN um;
Wherein, NCV is the relevance degree of the target business file and the enterprise, and registeredcapital is institute
State the registered capital grade of enterprise, enterprise's number grade that HumanNum is the enterprise, a, b, c, d are preset weighted value.
To achieve the above object, technical solution of the present invention additionally provides the correlation calculations of a kind of business documentation and enterprise
System, comprising:
First obtains module, for obtaining the generic business text of target business file and several passing participations of enterprise
Part;
Comparison module, for the target business file with the generic business documentation of several passing participations
Similitude;
Processing module, for determining that the target business file is related to the enterprise according to the comparison result
Property.
Preferably, the system also includes:
Second obtains module, for obtaining the commodity classification directory tree of multi-branch tree data structure;
Third obtains module and obtains the target quotient for extracting the commodity items information in the target business file
Commodity items information in industry file is in the position (wx, wy) of the commodity classification directory tree, wherein wx is the target business
For commodity items information in file in the range of the commodity classification directory tree, wy is the commodity product in the target business file
Depth of the mesh information in the commodity classification directory tree;
4th obtains module, for obtaining the commodity items information of the enterprise, obtains the commodity items letter of the enterprise
Breath is in the position (x, y) of the commodity classification directory tree, wherein x is the commodity items information of the enterprise in the commodity point
The range of class directory tree, y are depth of the commodity items information in the commodity classification directory tree of the enterprise;
Items distance calculation module, for calculating the items of the target business file and the enterprise in the following ways
Distance disWCP;
DisWCP=max (abs (wx-x), abs (wy-y));
Wherein, abs is to calculate ABS function, and max is selection max function;
Wherein, the processing module is configured as determining the target business file also according to the items distance disWCP
With the correlation of the enterprise.
Preferably, the system also includes;
5th obtains module, for obtaining registered capital information and/or the enterprise number information of the enterprise;
Grade classification module, for according to the registered capital information of the enterprise and/or enterprise number information and default
Grade classification rule determine the registered capital grade and/or enterprise's number grade of the enterprise;
Wherein, the processing module is configured as also according to the registered capital grade of the enterprise and/or enterprise's number etc.
Grade determines the correlation of the target business file and the enterprise.
Preferably, the comparison module includes:
Comparing unit, for calculating the target business file with the generic business documentation of passing participation described in each
Similarity;
Average calculation unit, the similarity for obtaining to the comparing unit are averaging, and obtain average value
SimilarityWC。
Preferably, the processing module is configured as determining the target business file and the enterprise in the following ways
Correlation:
NCV=a*SimilarityWC+b/disWCP+c*registeredcapital+d*HumanN um;
Wherein, NCV is the relevance degree of the target business file and the enterprise, and registeredcapital is institute
State the registered capital grade of enterprise, enterprise's number grade that HumanNum is the enterprise, a, b, c, d are preset weighted value.
The correlation calculations method of business documentation provided by the invention and enterprise, by obtaining the similar of the passing participation of enterprise
Other business documentation, and target business file is subjected to similarity system design with the generic business documentation of the passing participation of enterprise, according to
Comparison result determines the correlation between target business file and enterprise, and then can decide whether as bid needed for enterprise
File can extend efficient help for enterprise during information on bidding needed for itself is found by enterprise, greatly reduce enterprise
Cost of labor, time cost.
Detailed description of the invention
By referring to the drawings to the description of the embodiment of the present invention, the above and other purposes of the present invention, feature and
Advantage will be apparent from, in the accompanying drawings:
Fig. 1 is the flow chart of the correlation calculations method of a kind of business documentation that embodiment of the present invention provides and enterprise;
Fig. 2 is the process of the correlation calculations method of another business documentation that embodiment of the present invention provides and enterprise
Figure;
Fig. 3 is the schematic diagram of the correlation calculations system of a kind of business documentation that embodiment of the present invention provides and enterprise.
Specific embodiment
Below based on embodiment, present invention is described, but the present invention is not restricted to these embodiments.Under
Text is detailed to describe some specific detail sections in datail description of the invention, in order to avoid obscuring essence of the invention,
There is no narrations in detail for well known method, process, process, element.
In addition, it should be understood by one skilled in the art that provided herein attached drawing be provided to explanation purpose, and
What attached drawing was not necessarily drawn to scale.
Unless the context clearly requires otherwise, "include", "comprise" otherwise throughout the specification and claims etc. are similar
Word should be construed as the meaning for including rather than exclusive or exhaustive meaning;That is, be " including but not limited to " contains
Justice.
In the description of the present invention, it is to be understood that, term " first ", " second " etc. are used for description purposes only, without
It can be interpreted as indication or suggestion relative importance.In addition, in the description of the present invention, unless otherwise indicated, the meaning of " multiple "
It is two or more.
It is the correlation calculations method of a kind of business documentation and enterprise that embodiment of the present invention provides referring to Fig. 1, Fig. 1
Flow chart, this method comprises:
Step S1: the generic business documentation of target business file and several passing participations of enterprise is obtained, wherein should
Target business file and the generic business documentation of several passing participations of enterprise are bidding document;
For example, can acquire enterprise related qualification and submit a tender experience information, include following content: be engaged in field (such as
Education, building etc.), scope of the enterprise (registered capital, personnel amount), have qualification (for example whether the illegal, certificate that has,
Whether patent is new high-tech enterprise etc.), the acceptance of the bid information and bid information of enterprise;
Later, it is searched according to the acceptance of the bid information of enterprise and bid information (as using web search mode), obtains enterprise
Set NoticeFile={ the File of the bidding document of the passing participation of industry1,File2,...,Filei,...,FileNum, wherein
Subscript i=1,2 ..., Num, Num are the quantity of the bidding document of passing participation, FileiIndicate the bid of i-th of passing participation
File;
Step S2: the target business file with several passing participations generic business documentation it is similar
Property, for example, the step can specifically include step S2a~step S2b:
Step S2a: the target business file is calculated with the phase of the generic business documentation of passing participation described in each
Like degree;
The similarity for calculating each file in Target bidding file and NoticeFile, obtains similarity set
Similarity={ sl1,sl2,...,sli,...,slNum, wherein subscript i=1,2 ..., Num, sliIndicate i-th it is passing
The bidding document File of participationiWith the similarity of Target bidding file;
For example, specific information can be preset, according in target business file specific information and the passing participation of enterprise
Generic business documentation in the matching degree of specific information determine the similarity between two files, for example, mesh can be extracted
The bidding documents information such as related content, including items, qualification requirement, item description, project name in mark bidding document, and from
The information such as items, qualification requirement, item description, project name are extracted in the bidding document of the passing participation of enterprise, by judging two
The matching degree of the information such as items, qualification requirement, item description, project name determines the similarity of the two in file;
Step S2b: the similarity that step S2a is obtained is averaging, average value SimilarityWC is obtained, that is, calculates
Similarity={ sl1,sl2,...,sli,...,slNumIn all similarities mean value as target business file with
The similarity SimilarityWC of NoticeFile set;
Step S3: the correlation of the target business file and the enterprise is determined according to the comparison result;
For example, the value of similarity SimilarityWC is bigger, then target business file and the correlation of the enterprise are bigger,
The value of similarity SimilarityWC is smaller, then target business file and the correlation of the enterprise are smaller.
The correlation calculations method of business documentation and enterprise that embodiment of the present invention provides, by obtaining the passing ginseng of enterprise
With bidding document, and Target bidding file is subjected to similarity system design with the bidding document of the passing participation of enterprise, according to comparing
Result determine the correlation between Target bidding file and enterprise, and then can decide whether for bid needed for enterprise text
Part can extend efficient help for enterprise during information on bidding needed for itself is found by enterprise, greatly reduce enterprise
Cost of labor, time cost.
Referring to fig. 2, Fig. 2 is the correlation calculations method of another business documentation and enterprise that embodiment of the present invention provides
Flow chart, this method comprises:
Step A1: the generic business documentation of target business file and several passing participations of enterprise is obtained, wherein should
Target business file and the generic business documentation of several passing participations of enterprise are bidding document;
Step A2: the target business file with several passing participations generic business documentation it is similar
Property;
Wherein, step A1~step A2 specific implementation can be with the specific implementation side above-mentioned steps S1~step S2
Formula is identical, is not repeating herein;
Step B1: the commodity classification directory tree of multi-branch tree data structure is obtained;
For example, can the items classification information to existing goods be acquired, and showed in a manner of multiway tree (tree),
Obtain commodity classification directory tree, wherein the items classification information of acquisition can as far as possible comprehensively, in obtained commodity classification directory tree
Classification information it is more detailed, then be more conducive to analyze target business file and enterprise items distance;
Step B2: the commodity items information in the target business file is extracted, is obtained in the target business file
Commodity items information is in the position (wx, wy) of the commodity classification directory tree, wherein wx is the quotient in the target business file
Product items information the commodity classification directory tree range (corresponding the position of the commodity items information where it in level),
Wy is depth (the corresponding commodity items of the commodity items information in the target business file in the commodity classification directory tree
Level of the information in commodity classification directory tree);
Step B3: obtaining the commodity items information of the enterprise, obtains the commodity items information of the enterprise in the quotient
The position (x, y) of product classified catalogue tree, wherein x is the commodity items information of the enterprise in the commodity classification directory tree
Range (the corresponding position of the commodity items information where it in level), y is the commodity items information of the enterprise described
The depth (the corresponding level of the commodity items information in commodity classification directory tree) of commodity classification directory tree;
Step B4: the items distance disWCP of the target business file Yu the enterprise is calculated in the following ways;
DisWCP=max (abs (wx-x), abs (wy-y));
Wherein, abs is to calculate ABS function, and max is selection max function;
Step C: target is determined according to items distance disWCP obtained in comparison result in step A1 and step B4
The correlation of business documentation and the enterprise;
For example, the value of similarity SimilarityWC is bigger, items distance disWCP is smaller, then target business file and institute
The correlation for stating enterprise is bigger, and the value of similarity SimilarityWC is smaller, and items distance disWCP is bigger, then target business text
Part and the correlation of the enterprise are smaller;
The correlation calculations method of bidding document and enterprise that embodiment of the present invention provides, by by target business file
Generic business documentation with the passing participation of enterprise carries out similarity system design, and determines the items of target business file and enterprise
Distance determines the correlation between target business file and enterprise according to the result of similarity system design and items distance, not only
It may be implemented to judge whether target business file is bidding document needed for enterprise, the accurate of judgement can also be further improved
Property.
Preferably, in embodiments of the present invention, when determining target business file and the correlation of the enterprise, may be used also
With the registered capital information of reference enterprise and/or enterprise number information, for example, determining target business file and the enterprise
Before correlation, the correlation calculations method of above-mentioned bidding document and enterprise further includes step S201~step S202;
Step S201: registered capital information and/or the enterprise number information of the enterprise are obtained;
Step S202: it is drawn according to the registered capital information of the enterprise and/or enterprise number information and preset grade
Divider then determines the registered capital grade and/or enterprise's number grade of the enterprise;
Different grades the registered capital of enterprise can be arranged in advance, registered capital is more, the registered capital of enterprise
Grade then can be higher accordingly, such as can be divided into six grades: 0-100w (grade 1), 100-200w (grade 2),
200-500w (grade 3), 500-1000w (grade 4), 1000-1 hundred million (grade 5), 100,000,000 or more (grades 6);
Likewise, can enterprise's number in advance to enterprise different grades is set, enterprise's number is more, the enterprise of enterprise
Number grade then can be higher accordingly, such as can be divided into six grades: 0-100 people's (grade 1), and (grade is 100-200 people
2), 200-500 people's (grade 3), 500-1000 people's (grade 4), 1000-3000 people's (grade 5), more than 3000 people (etc.
6) grade is;
It, can be according to the registered capital grade of enterprise, enterprise when determining target business file and the correlation of the enterprise
At least one of industry number grade, the similarity SimilarityWC of above-mentioned determination, above-mentioned determination items distance disWCP
The correlation of target business file with the enterprise is determined, for example, the target business file can be determined in the following ways
With the correlation of the enterprise:
NCV=a*SimilarityWC+b/disWCP+c*registeredcapital+d*HumanN um;
Wherein, NCV is the relevance degree of the target business file and the enterprise, and registeredcapital is institute
State the registered capital grade of enterprise, enterprise's number grade that HumanNum is the enterprise, a, b, c, d are preset weighted value
(and being positive value) then illustrates that target business file and the correlation of enterprise are stronger, more meets enterprise when the value of NCV is bigger
Demand.
In addition, embodiment of the present invention additionally provides the correlation calculations system of a kind of business documentation and enterprise, referring to figure
3, which includes:
First obtains module 1, for obtaining the generic business of target business file and several passing participations of enterprise
File;
Comparison module 2, for comparing generic business documentation of the target business file with several passing participations
Similitude;
Processing module 3, for determining that the target business file is related to the enterprise according to the comparison result
Property.
Wherein, in embodiments of the present invention, the system also includes:
Second obtains module, for obtaining the commodity classification directory tree of multi-branch tree data structure;
Third obtains module and obtains the target quotient for extracting the commodity items information in the target business file
Commodity items information in industry file is in the position (wx, wy) of the commodity classification directory tree, wherein wx is the target business
For commodity items information in file in the range of the commodity classification directory tree, wy is the commodity product in the target business file
Depth of the mesh information in the commodity classification directory tree;
4th obtains module, for obtaining the commodity items information of the enterprise, obtains the commodity items letter of the enterprise
Breath is in the position (x, y) of the commodity classification directory tree, wherein x is the commodity items information of the enterprise in the commodity point
The range of class directory tree, y are depth of the commodity items information in the commodity classification directory tree of the enterprise;
Items distance calculation module, for calculating the items of the target business file and the enterprise in the following ways
Distance disWCP;
DisWCP=max (abs (wx-x), abs (wy-y));
Wherein, abs is to calculate ABS function, and max is selection max function;
Wherein, the processing module is configured as determining the target business file also according to the items distance disWCP
With the correlation of the enterprise.
Wherein, in embodiments of the present invention, the system also includes;
5th obtains module, for obtaining registered capital information and/or the enterprise number information of the enterprise;
Grade classification module, for according to the registered capital information of the enterprise and/or enterprise number information and default
Grade classification rule determine the registered capital grade and/or enterprise's number grade of the enterprise;
Wherein, the processing module is configured as also according to the registered capital grade of the enterprise and/or enterprise's number etc.
Grade determines the correlation of the target business file and the enterprise.
Wherein, in embodiments of the present invention, the comparison module includes:
Comparing unit, for calculating the target business file with the generic business documentation of passing participation described in each
Similarity;
Average calculation unit, the similarity for obtaining to the comparing unit are averaging, and obtain average value
SimilarityWC。
Wherein, in embodiments of the present invention, the processing module is configured as determining the target in the following ways
The correlation of business documentation and the enterprise:
NCV=a*SimilarityWC+b/disWCP+c*registeredcapital+d*HumanN um;
Wherein, NCV is the relevance degree of the target business file and the enterprise, and registeredcapital is institute
State the registered capital grade of enterprise, enterprise's number grade that HumanNum is the enterprise, a, b, c, d are preset weighted value.
The correlation calculations system of business documentation and enterprise that embodiment of the present invention provides, can find itself in enterprise
It extends efficient help during required information on bidding for enterprise, greatly reduces cost of labor, the time cost of enterprise.
Those skilled in the art will readily recognize that above-mentioned each preferred embodiment can be free under the premise of not conflicting
Ground combination, superposition.
It should be appreciated that above-mentioned embodiment is merely exemplary, and not restrictive, without departing from of the invention basic
In the case where principle, those skilled in the art can be directed to the various apparent or equivalent modification or replace that above-mentioned details is made
It changes, is all included in scope of the presently claimed invention.
Claims (10)
1. a kind of correlation calculations method of business documentation and enterprise characterized by comprising
Step S1: the generic business documentation of target business file and several passing participations of enterprise is obtained;
Step S2: similitude of the target business file with the generic business documentation of several passing participations;
Step S3: the correlation of the target business file and the enterprise is determined according to the comparison result.
2. the method according to claim 1, wherein the method also includes steps before the step S3
S101~step S104:
Step S101: the commodity classification directory tree of multi-branch tree data structure is obtained;
Step S102: the commodity items information in the target business file is extracted, the quotient in the target business file is obtained
Product items information is in the position (wx, wy) of the commodity classification directory tree, wherein wx is the commodity in the target business file
For items information in the range of the commodity classification directory tree, wy is the commodity items information in the target business file described
The depth of commodity classification directory tree;
Step S103: obtaining the commodity items information of the enterprise, obtains the commodity items information of the enterprise in the commodity
The position (x, y) of classified catalogue tree, wherein x is the commodity items information of the enterprise in the wide of the commodity classification directory tree
Degree, y are depth of the commodity items information in the commodity classification directory tree of the enterprise;
Step S104: the items distance disWCP of the target business file Yu the enterprise is calculated in the following ways;
DisWCP=max (abs (wx-x), abs (wy-y));
Wherein, abs is to calculate ABS function, and max is selection max function;
Wherein, in the step S3, the target business file and the enterprise are determined also according to the items distance disWCP
The correlation of industry.
3. according to the method described in claim 2, it is characterized in that, the method also includes step S201 before step S3
~step S202;
Step S201: registered capital information and/or the enterprise number information of the enterprise are obtained;
Step S202: it is advised according to the registered capital information of the enterprise and/or enterprise number information and preset grade classification
Then determine the registered capital grade and/or enterprise's number grade of the enterprise;
Wherein, in the step S3, also according to described in the registered capital grade of the enterprise and/or the determination of enterprise's number grade
The correlation of target business file and the enterprise.
4. according to the method described in claim 3, it is characterized in that, the step S2 includes:
Step S2a: the target business file is calculated with the similarity of the generic business documentation of passing participation described in each;
Step S2b: the similarity that step S2a is obtained is averaging, average value SimilarityWC is obtained.
5. according to the method described in claim 4, it is characterized in that, in the step S3, determine in the following ways described in
The correlation of target business file and the enterprise:
NCV=a*SimilarityWC+b/disWCP+c*registeredcapital+d*HumanN um;
Wherein, NCV is the relevance degree of the target business file and the enterprise, and registeredcapital is the enterprise
The registered capital grade of industry, enterprise's number grade that HumanNum is the enterprise, a, b, c, d are preset weighted value.
6. the correlation calculations system of a kind of business documentation and enterprise characterized by comprising
First obtains module, for obtaining the generic business documentation of target business file and several passing participations of enterprise;
Comparison module, for the target business file with the phase of the generic business documentation of several passing participations
Like property;
Processing module, for determining the correlation of the target business file and the enterprise according to the comparison result.
7. system according to claim 6, which is characterized in that the system also includes:
Second obtains module, for obtaining the commodity classification directory tree of multi-branch tree data structure;
Third obtains module, for extracting the commodity items information in the target business file, obtains the target business text
Commodity items information in part is in the position (wx, wy) of the commodity classification directory tree, wherein wx is the target business file
In commodity items information the commodity classification directory tree range, wy be the target business file in commodity items letter
Cease the depth in the commodity classification directory tree;
4th obtains module, and for obtaining the commodity items information of the enterprise, the commodity items information for obtaining the enterprise exists
The position (x, y) of the commodity classification directory tree, wherein x is the commodity items information of the enterprise in the commodity classification mesh
The range of tree is recorded, y is depth of the commodity items information in the commodity classification directory tree of the enterprise;
Items distance calculation module, for calculating the items distance of the target business file Yu the enterprise in the following ways
disWCP;
DisWCP=max (abs (wx-x), abs (wy-y));
Wherein, abs is to calculate ABS function, and max is selection max function;
Wherein, the processing module is configured as determining the target business file and institute also according to the items distance disWCP
State the correlation of enterprise.
8. system according to claim 7, which is characterized in that the system also includes;
5th obtains module, for obtaining registered capital information and/or the enterprise number information of the enterprise;
Grade classification module, for according to the registered capital information of the enterprise and/or enterprise number information and preset etc.
Grade division rule determines the registered capital grade and/or enterprise's number grade of the enterprise;
Wherein, it is true to be configured as registered capital grade and/or enterprise's number grade also according to the enterprise for the processing module
The correlation of fixed the target business file and the enterprise.
9. system according to claim 8, which is characterized in that the comparison module includes:
Comparing unit, for calculating the target business file with the phase of the generic business documentation of passing participation described in each
Like degree;
Average calculation unit, the similarity for obtaining to the comparing unit are averaging, and obtain average value
SimilarityWC。
10. system according to claim 9, which is characterized in that the processing module is configured as in the following ways really
The correlation of fixed the target business file and the enterprise:
NCV=a*SimilarityWC+b/disWCP+c*registeredcapital+d*HumanN um;
Wherein, NCV is the relevance degree of the target business file and the enterprise, and registeredcapital is the enterprise
The registered capital grade of industry, enterprise's number grade that HumanNum is the enterprise, a, b, c, d are preset weighted value.
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CN110363401A (en) * | 2019-06-26 | 2019-10-22 | 北京百度网讯科技有限公司 | Integrate sticky appraisal procedure, device, computer equipment and storage medium |
Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130238397A1 (en) * | 2010-11-04 | 2013-09-12 | Alibaba Group Holding Limited | Data Processing Based on Online Transaction Platform |
CN103700005A (en) * | 2013-12-17 | 2014-04-02 | 南京信息工程大学 | Association-rule recommending method based on self-adaptive multiple minimum supports |
CN107944760A (en) * | 2017-12-15 | 2018-04-20 | 广州市齐明软件科技有限公司 | A kind of enterprise's bidding competition power analysis method and system |
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Patent Citations (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20130238397A1 (en) * | 2010-11-04 | 2013-09-12 | Alibaba Group Holding Limited | Data Processing Based on Online Transaction Platform |
CN103700005A (en) * | 2013-12-17 | 2014-04-02 | 南京信息工程大学 | Association-rule recommending method based on self-adaptive multiple minimum supports |
CN107944760A (en) * | 2017-12-15 | 2018-04-20 | 广州市齐明软件科技有限公司 | A kind of enterprise's bidding competition power analysis method and system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110363401A (en) * | 2019-06-26 | 2019-10-22 | 北京百度网讯科技有限公司 | Integrate sticky appraisal procedure, device, computer equipment and storage medium |
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