CN106295972A - Yun Zhi makes article made to order intelligent service system and implementation method - Google Patents
Yun Zhi makes article made to order intelligent service system and implementation method Download PDFInfo
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- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q30/00—Commerce
- G06Q30/06—Buying, selling or leasing transactions
- G06Q30/0601—Electronic shopping [e-shopping]
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Abstract
The invention discloses a kind of cloud intelligence and make article made to order intelligent service system and implementation method.Yun Zhi makes article made to order intelligent service system, including: supply side module, demand end module and article made to order intelligent search module.Supply side module includes supplier information memory element and unit of bidding；Demand end module includes purchaser's information memory cell and requirements set unit and demand notification unit and article made to order intelligent search module supplier information in reading supplier information memory element, and supplier screens by the predetermined condition that setup unit sets according to demand, and send result to demand notification unit.Cloud intelligence according to the present invention makes article made to order intelligent service system, both parties can be helped quickly to solve common professional technique problem in process of exchange, set up clog-free the Internet passage for supply and demand both sides, allow enterprise can more concentrate one's energy to be absorbed in the raising of internal control, product quality and productivity effect.
Description
Technical field
The present invention relates to internet electronic business field, specifically, make article made to order Intellectual garment particularly to a kind of cloud intelligence
Business system and implementation method.
Background technology
For popular daily life, ecommerce has penetrated into industry-by-industry or field.But, for some
Industry or field, such as, traditional manufacture, ecommerce is also in the starting stage.
Field is customized, due to die industry self, information skill for being related to the mould of manufacturing industry every aspect
The degree of depth and the range of the application of art especially e-commerce technology are scarcely out of swaddling-clothes.On the one hand: major part Mould Enterprise is also
It is to use under telephonic communication, friend introduction, line the traditional means such as contact, it is impossible to be quickly found out satisfactory supplier；Another
Aspect, for the E-business applications in the die industry that impact is limited, most cases is, supplier accesses third party and puts down
Platform system, purchaser is interacted by third-party platform and supplier.But, in the related, above-mentioned third party puts down
Platform system only records the most mutual daily record, is not involved in information process.Owing to purchaser and supplier interact
Time it is possible that various exception stream (the most abnormal flow of information), be difficult to supervise different so there is above-mentioned third-party platform system
The problem of permanent current, brings loss can to time serious purchaser or supplier.
Summary of the invention
One aspect of the present invention provides a kind of cloud intelligence and makes article made to order intelligent service system, and this system can allow enterprise easily manage
Manage the supply chain of oneself, reduce the purpose of cost.Further, the invention provides a kind of side realizing said system
Method, the method can allow enterprise easily manage the supply chain of oneself, reduce the purpose of cost.
A kind of cloud intelligence is provided to make article made to order intelligent service system according to the present invention, including: supply side module, described supply side
Module includes the supplier information memory element for storing multiple supplier information and for receiving described supplier quotation
Information and purchaser bid notice unit of bidding；Demand end module, described demand end module includes for storing multiple buying
Purchaser's information memory cell of business's information and requirements set unit and demand notification unit, described purchaser is pre-by setting
Fixed condition, screens the described supplier in described supplier information memory element, and sends result to described demand
Notification unit is formed and bids notice, described demand notification unit will bid notice be sent to described in unit of bidding pass through described simultaneously
Unit of bidding informs that described supplier offers；And article made to order intelligent search module, described article made to order intelligent search module
Described supplier information in reading described supplier information memory element, and set according to described requirements set unit
Described supplier is screened by predetermined condition, and sends result to described demand notification unit, and described article made to order intelligence is searched
Described supplier information is screened by rope module by below equation, and to the selection result auto-sequencing:
Score (q, d)=coord (q, d) × queryNorm (q) × Σ (tf (t in d) × idf (t)2×
T.getBoost () × norm (t, d))
Wherein, (q, d) for the scoring factor, is based on the number occurring query term in document to coord, a document appearance
Query term is the most, then the marking of the document will be the highest；QueryNorm (q) represent each query entries variance and；tf(t
In d) represent the frequency that word t occurs in document d；Idf (t) is the document number of t, and (t is d) normalization factor, contains norm
Having two parameter Field boost and Document boost, the importance in the former territory, the latter represents the important of document
Property；T.getBoost () represents the weight of word in query statement, and q is query statement, and t is each item after q participle, and d is for going
The document joined.
Cloud intelligence makes article made to order intelligent service system according to an embodiment of the invention, it is possible to help both parties quickly to solve
Common professional technique problem in process of exchange, sets up clog-free the Internet passage for supply and demand both sides, and enterprise can more be concentrated
Energy is absorbed in the raising of internal control, product quality and productivity effect.Yun Zhi makes article made to order intelligent service system, solves enterprise
Low usefulness that industry traditional channel opens up a market and a high investment difficult problem, " can not only increase income and decrease expenditure " for enterprise, moreover it is possible to help vast in
The supply resource that small business's deposit is abundant, opens up broad mass market.
According to one embodiment of present invention, described supply side module includes supplier's Registering modules, and described supplier notes
The supplier information received for typing supplier information and is sent in supplier information memory element by volume module.
According to one embodiment of present invention, described supplier Registering modules farther includes aptitude checking module, described
Aptitude checking module, for auditing the qualification of supplier, registers whether successfully finger to send after described supplier registration process
Order.
According to one embodiment of present invention, described demand end module also includes purchaser's Registering modules, described purchaser
Registering modules is for collecting the every terms of information of purchaser and storing.
According to one embodiment of present invention, described purchaser's Registering modules farther includes aptitude checking module, described
Aptitude checking module, for auditing the qualification of purchaser, registers whether successfully finger to send after described purchaser's registration process
Order.
According to one embodiment of present invention, described demand end module also includes module of contracting, and described signing module is used for
Information is sent to satisfactory described supplier, to point out qualified described supplier to carry out by described unit of bidding
Signing.
According to one embodiment of present invention, described article made to order intelligent search module also includes maintenance module, described maintenance
Module is for revising, delete and increase the described supplier information of described supplier information memory cell storage and described buying
Described purchaser's information of storage in business's information memory cell.
According to one embodiment of present invention, described article made to order intelligent search module also includes msu message module, described
Auditing module is for auditing the described supplier information of described supplier information memory cell storage and described purchaser's information
Described purchaser's information of memory cell storage.
According to one embodiment of present invention, described supply side module also includes that maintenance module, described maintenance module are used for
Safeguard that the described supplier information that described supplier information memory cell is stored up, described demand end module also include safeguarding mould
Block, described maintenance module is described purchaser's information of storage in safeguarding described purchaser's information memory cell.
Realize the method that cloud intelligence makes article made to order Intelligent Service according to an embodiment of the invention, comprise the following steps: collect
And storage vendor's information collecting；Purchaser provides qualifications according to demand, to carry out the supplier after collecting
Screening, during to vendor evaluation, is carried out by below equation:
Score (q, d)=coord (q, d) × queryNorm (q) × Σ (tf (t in d) × idf (t)2×
T.getBoost () × norm (t, d))
Wherein, (q, d) for the scoring factor, is based on the number occurring query term in document to coord, a document appearance
Query term is the most, then the marking of the document will be the highest；QueryNorm (q) represent each query entries variance and；tf(t
In d) represent the frequency that word t occurs in document d；Idf (t) is the document number of t, and (t is d) normalization factor, contains norm
Having two parameter Field boost and Document boost, the importance in the former territory, the latter represents the important of document
Property；T.getBoost () represents the weight of word in query statement, and q is query statement, and t is each item after q participle, and d is coupling
Document；Purchaser, according to result after screening, sends quotation and invites satisfactory supplier.
Realize the method that cloud intelligence makes article made to order Intelligent Service according to an embodiment of the invention, it is possible to help both parties fast
Speed solves common professional technique problem in process of exchange, sets up clog-free the Internet passage for supply and demand both sides, allows the enterprise can
More concentrate one's energy to be absorbed in the raising of internal control, product quality and productivity effect.Yun Zhi makes article made to order intelligent service system, solves
Low usefulness that Jue Liao enterprise traditional channel opens up a market and a high investment difficult problem, " can not only increase income and decrease expenditure " for enterprise, moreover it is possible to helps
The supply resource that vast medium-sized and small enterprises deposit is abundant, opens up broad mass market.
Accompanying drawing explanation
Fig. 1 is the schematic diagram that cloud intelligence according to an embodiment of the invention makes article made to order intelligent service system.
Fig. 2 is according to an embodiment of the invention to realize the schematic diagram that cloud intelligence makes the method for article made to order Intelligent Service.
Detailed description of the invention
Embodiments of the invention are described below in detail, and the example of described embodiment is shown in the drawings, the most from start to finish
Same or similar label represents same or similar element or has the element of same or like function.Below with reference to attached
The embodiment that figure describes is exemplary, it is intended to is used for explaining the present invention, and is not considered as limiting the invention.
Fig. 1 is the schematic diagram that cloud intelligence according to embodiments of the present invention makes article made to order intelligent service system 1.As it is shown in figure 1, cloud
Intelligence is made article made to order intelligent service system 1 and is included that supply side module 10, supply side module 10 include for storing multiple supplier letter
The supplier information memory element of breath and for receiving described supplier quotation information and purchaser bids the list of bidding of notice
Unit；Demand end module 20, demand end module 20 include for the purchaser's information memory cell storing multiple purchaser's information with
And requirements set unit and demand notification unit, purchaser is by setting predetermined condition, in supplier information memory element
Supplier screens, and sends result to demand notification unit and formed and bid notice, and demand notification unit will be bidded notice
It is sent to bid unit to inform that supplier offers by unit of bidding；And article made to order intelligent search module 30, customization
Product intelligent search module 30 is for reading the supplier information in supplier information memory element, and setup unit sets according to demand
Supplier is screened by fixed predetermined condition, and sends result to demand notification unit, article made to order intelligent search module 30
By below equation, supplier information information is screened, and to the selection result auto-sequencing:
Score (q, d)=coord (q, d) × queryNorm (q) × Σ (tf (t in d) × idf (t)2×
T.getBoost () × norm (t, d))
Wherein, (q, d) for the scoring factor, is based on the number occurring query term in document to coord, a document appearance
Query term is the most, then the marking of the document will be the highest；QueryNorm (q) represent each query entries variance and；tf(t
In d) represent the frequency that word t occurs in document d；Idf (t) is the document number of t, and (t is d) normalization factor, contains norm
Having two parameter Field boost and Document boost, the importance in the former territory, the latter represents the important of document
Property；T.getBoost () represents the weight of word in query statement, and q is query statement, and t is each item after q participle, and d is for going
The document joined.
As it is shown in figure 1, supply side module 10 includes supplier's Registering modules 11, supplier according to an embodiment of the invention
The supplier information received for typing supplier information and is sent in supplier information memory element by Registering modules 11,
Access to click on after cloud intelligence makes article made to order intelligent service system 1 to register for supplier and enter the registration supplier page, input registration
Submit to after information, registration supplier success.
As it is shown in figure 1, supplier's Registering modules 11 farther includes aptitude checking module according to an embodiment of the invention
13, aptitude checking module 13, for auditing the qualification of supplier, registers whether successfully to send after supplier's registration process
Instruction, after success, system can issue activation mail to supplier, and supplier can log in cloud intelligence and makes customization after activating account success
Product intelligent searching system 1；Supplier registers unsuccessful, re-enters log-on message.
As it is shown in figure 1, demand end module 20 also includes purchaser's Registering modules 21 according to an embodiment of the invention, buying
Business's Registering modules 21, for collecting the every terms of information of purchaser and storing, accesses cloud intelligence for purchaser and makes article made to order intelligence
Click on registration after service system 1 and enter registration purchaser's page, submit to after input log-on message, registration purchaser's success.
As it is shown in figure 1, purchaser's Registering modules 21 farther includes aptitude checking module according to an embodiment of the invention
24, aptitude checking module 24, for auditing the qualification of purchaser, registers whether successfully to send after purchaser's registration process
Instruction, after success, system can issue activation mail to purchaser, and purchaser can log in cloud intelligence and makes customization after activating account success
Product intelligent searching system；Purchaser registers unsuccessful, re-enters log-on message.
As it is shown in figure 1, demand end module 20 also includes module 23 of contracting according to an embodiment of the invention, module 23 of contracting
For sending information by unit of bidding to satisfactory supplier, to point out qualified supplier to contract, just
In purchaser, the quotation of each supplier is contrasted, select suitable supplier to contract afterwards.
As it is shown in figure 1, article made to order intelligent search module 30 also includes maintenance module 31 according to an embodiment of the invention, dimension
Protect supplier information and purchaser's information that module 31 stores in revising, delete and have additional supply of business's information memory cell to deposit
Purchaser's information of storage in storage unit, supplier information and purchaser's information can be modified, delete by system manager
Operate with increasing, and on user's table that the information after amendment is deposited in data base.
As it is shown in figure 1, article made to order intelligent search module 30 also includes msu message module according to an embodiment of the invention
32, msu message module 32 is for auditing supplier information and the storage of purchaser's information of the storage of supplier information memory cell
Purchaser's information of element memory storage is after system manager receives supplier and the data of purchaser's submission or amendment data, right
Supplier information and purchaser's information are audited, and submit to after input remarks, examination & verification supplier and purchaser's success.
As it is shown in figure 1, supply side module 10 also includes maintenance module 12, maintenance module 12 according to an embodiment of the invention
The supplier information of storage in maintenance provider information memory cell, demand end module 20 also includes maintenance module 22, dimension
Protect purchaser's information that module 22 stores in safeguarding purchaser's information memory cell.Supplier and purchaser log in member
The heart, clicks at member center and improves data, is improving data page input information, is improving data success after submission；In perfect money
After material, the company information of supplier and purchaser has alteration, can log in member center, clicks on amendment money at member center
Material, submits to after input information, amendment data success.
Fig. 2 be according to embodiments of the present invention realize the schematic diagram that cloud intelligence makes the method for article made to order intelligent service system.As
Shown in Fig. 2, it is achieved Yun Zhi makes the method for article made to order Intelligent Service, comprises the following steps:
S1: collection storage vendor's information also collect；
S2: purchaser provides qualifications according to demand, to screen the supplier after collecting, to vendor evaluation
Time, carried out by below equation:
Score (q, d)=coord (q, d) × queryNorm (q) × Σ (tf (t in d) × idf (t)2×
T.getBoost () × norm (t, d))
Wherein, (q, d) for the scoring factor, is based on the number occurring query term in document to coord, a document appearance
Query term is the most, then the marking of the document will be the highest；QueryNorm (q) represent each query entries variance and；tf(t
In d) represent the frequency that word t occurs in document d；Idf (t) is the document number of t, and (t is d) normalization factor, contains norm
Having two parameter Field boost and Document boost, the importance in the former territory, the latter represents the important of document
Property；T.getBoost () represents the weight of word in query statement, and q is query statement, and t is each item after q participle, and d is coupling
Document；
S3: purchaser, according to result after screening, sends quotation and invites satisfactory supplier.
Realize the system matches rule that cloud intelligence makes the method for article made to order intelligent service system according to an embodiment of the invention
It is:
It is " major product " that Yun Zhi makes the field of article made to order intelligent service system 1 coupling, " category of employment ", " enterprise's property
Matter ", as long as " major product, category of employment, enterprise nature " matches simultaneously, this system 1 just can be recommended.Wherein " industry
Classification " it is that multi-option selects, as long as wherein there being an option to match the most at last, the match is successful.
Realize the accurate matched rule that cloud intelligence makes the method for article made to order intelligent service system according to an embodiment of the invention
It is:
Yun Zhi makes the field of article made to order intelligent service system 1 system matches to be had " major product, Business Name, registered capital,
Category of employment, enterprise nature, processing type, if having designed capacity, technology number, produce equipment requirements, detect equipment requirements,
Plant area, fixed assets, system certification, qualification certification, shipment address ".Wherein " major product, registered capital, enterprise's property
Matter, Business Name (option), registered capital, registered capital currency type " it is must 100% coupling；" category of employment, processing
Type " the two is multi-option, during coupling, the two field all allows for the option content matching in options；Before
The condition in face all must simultaneously meet just can recommend." whether there are designed capacity, technology number, produce equipment requirements, detection
Equipment requirements, plant area, fixed assets, system certification, qualification certification " these fill out item for choosing, and condition above all meets
In the case of using these fields as sort criteria." technology number, plant area, fixed assets " this field, as long as numeral is big
In or equal to the numeral coupling wherein filled in, the recommendation order of supplier just fills out the coupling of field with these choosings
Sequence, sorts according to the percentage ratio of these fields match, and the field information of coupling is the most, the most forward." produce equipment requirements,
Detection equipment requirements " it is hand-written item, so accurate occurrence can not be done, fuzzy matching, the Field Count of both sides coupling can be realized
Reach 80% for the match is successful item." whether there are designed capacity, technology number, produce equipment requirements, detect equipment requirements, factory
Room area, fixed assets, system certification, qualification certification " weight of these fields is followed successively by " whether have designed capacity, technology people
Number, fixed assets, plant area, system certification, qualification certification produces and sets requirement, detects equipment requirements " if supplier's condition
When meeting the condition of equal proportion, then carry out prioritizing selection with the weight of these fields.If purchaser does not fill in those
It is considered as having matched " major product, registered capital, enterprise nature " just can recommend as long as Xiang Ze is filled out in choosing, but information is perfect
The sequence that degree is the highest is the most forward.
According to an embodiment of the invention, Yun Zhi makes article made to order intelligent service system in technical scheme, uses pure Java
Language development, carries out layering based on J2EE enterprise-level technology and builds.Use B/S (Browser/Server, browser/server)
Pattern.Page animation is based entirely on DIV+CSS, in accordance with codes and standards such as CSS2, W3C, and compatible major browsers, support JSP/
The multiple presentation layer technology such as FreeMarker/Velocity/JQUERY/JSTL/JSON/XML, in that context it may be convenient to carry out the page and move
State program implements exploitation, makes Product Interface be easier to customization.Research and development structure is taked full-text search, asynchronous process, message communication, is divided
The technical schemes such as cloth caching, group system.Major technique includes: SpringMVC, Spring, Hibernate, JDBC,
Jquery, Jstl, Lucene, Jms, MongoDB, Memcached, Tomcat, Apache etc.；Project-developing release management is adopted
Take quick iterative development process.Use unit testing technology Junit, continuous integrating technology meven, ant, wiki, jira,
Hudson, sonar, subversion carry out auxiliary development management.
According to an embodiment of the invention, illustrate:
"4158f6deef3b4d378e55f04d141":"\n
0.30488855=(MATCH) sum of: n
0.08757818=(MATCH) sum of: n
0.03936765=(MATCH) weight (natureCode:IMC06705 in 50)
[DefaultSimilarity],result of:\n
0.03936765=score (doc=50, freq=1.0), productof: n
0.030572493=queryWeight, product of: n
1.287682=idf (docFreq=107, maxDocs=144) n
0.023742268=queryNorm n
1.287682=fieldWeight in 50, product of: n
1.0=tf (freq=1.0), with freq of: n 1.0=termFreq=1.0 n
1.287682=idf (docFreq=107, maxDocs=144) n
1.0=fieldNorm (doc=50) n
0.04821053=(MATCH) product of: n
0.24105266=(MATCH) sum of: n
0.023742268=(MATCH) registeredCapital:[100 TO*], product of: n
1.0=boost n
0.023742268=queryNorm n
0.21731038=(MATCH) weight (canDesign:N in 50) [DefaultSimilarity],
result of:\n
0.21731038=score (doc=50, freq=1.0), product of: n
0.07182925=queryWeight, product of: n
(3.0253744=idf docFreq=18, maxDocs=144) n
0.023742268=queryNorm n
3.0253744=fieldWeight in 50, product of: n
1.0=tf (freq=1.0), with freq of: n
1.0=termFreq=1.0 n
(3.0253744=idf docFreq=18, maxDocs=144) n
1.0=fieldNorm (doc=50) n
0.2=coord (2/10) n
0.21731038=(MATCH) product of: n
1.7384831=(MATCH) sum of: n
1.7384831=(MATCH) weight (canDesign:N^8.0 in 50)
[DefaultSimilarity],result of:\n
1.7384831=score (doc=50, freq=1.0), product of: n
0.574634=queryWeight, product of: n
8.0=boost n
(3.0253744=idf docFreq=18, maxDocs=144) n
0.023742268=queryNorm n
3.0253744=fieldWeight in 50, product of: n
1.0=tf (freq=1.0), with freq of: n
1.0=termFreq=1.0 n
(3.0253744=idf docFreq=18, maxDocs=144) n
1.0=fieldNorm (doc=50) n
0.125=coord (1/8) n ",
"
This be inquire about according to above-mentioned condition after score by rules to a wherein data.
Use (MATCH) product of: be the PTS of this record.
(MATCH) sum of: its corresponding BooleanQuery, the score of the TermQuery that it comprises it adds up
Get up.TermQuery has 4 functions, is all the function that can control in Similarity, they be respectively queryNorm,
tf、idf、fieldNorm.QueryNorm be inquiry weight value of queryNorm in once search be fixing,
The value of fieldNorm correspond to the value of boost in formula (t.field in d) × lengthNorm (t.field in d), its
The value of middle boost (t.field in d), is just recorded when creating index, and lengthNorm (t.field in d)
Must be worth, can calculate in query script；It represents in this Search Results, comprises the sum of lexical item in given field；If value is more
Greatly, score is the lowest.Tf (t in q) represents the frequency occurred in lexical item T this field in the document, represents literary composition by word frequency
The importance of shelves.Idf (t) is the frequency that inverted frequency represents that lexical item T occurs in all documents.If it occurs in all documents
Number of times the most, show that this lexical item T is the most inessential.Cosine public affairs are brought into after the Weight of each field calculates in these data
Formula calculates available last mark Score value.Under the conditions of being ranked up drawing relevant search to all data by score value
Result carry out relevancy ranking.Numeric type field is less on scoring impact, so numeric type field weight needs to set greatly,
The following is the weighted value to there is a need to weight field.
Whether there is design qualification weight 8.0
Research and development number weight 200.0
Corporate capital combines weight 2.0 with corporate capital kind of currencies
Plant area weight 80.0
System certification weight 2.0
Qualification certification weight 2.0
In addition the mark to credit rating sorts and uses the advanced expressions of edismax to be ranked up, and reduces credit rating
The impact of final mark, make under the conditions of same scoring, before the high supplier of credit rating comes.
Claims (10)
1. a cloud intelligence makes article made to order intelligent service system, it is characterised in that including:
Supply side module, described supply side module include for the supplier information memory element storing multiple supplier information with
And for receiving described supplier quotation information and purchaser bids the unit of bidding of notice；
Demand end module, described demand end module include for the purchaser's information memory cell storing multiple purchaser's information with
And requirements set unit and demand notification unit, described supplier information, by setting predetermined condition, is stored by described purchaser
Described supplier in unit screens, and sends result to described demand notification unit and formed and bid notice, described need
Ask notification unit will bid notice be sent to described in bid unit pass through simultaneously described in unit of bidding inform that described supplier is carried out
Quotation；And
Article made to order intelligent search module, described article made to order intelligent search module is used for reading in described supplier information memory element
Described supplier information, and according to described requirements set unit set predetermined condition described supplier is screened, and
Sending result to described demand notification unit, described supplier is believed by described article made to order intelligent search module by below equation
Breath screens, and to the selection result auto-sequencing:
Score (q, d)=coord (q, d) × queryNorm (q) × Σ (tf (t in d) × idf (t)2×
T.getBoost () × norm (t, d))
Wherein, (q, d) for the scoring factor, is based on the number occurring query term in document, the inquiry that a document occurs to coord
Xiang Yue is many, then the marking of the document will be the highest；QueryNorm (q) represent each query entries variance and；tf(tin d)
Represent the frequency that word t occurs in document d；Idf (t) is the document number of t, and (t, d) is normalization factor to norm, containing two
Parameter Field boost and Document boost, the importance in the former territory, the latter represents the importance of document；
T.getBoost () represents the weight of word in query statement, and q is query statement, and t is each item after q participle, and d is the literary composition of coupling
Shelves.
Cloud intelligence the most according to claim 1 makes article made to order intelligent searching system, it is characterised in that described supply side module bag
Including supplier's Registering modules, described supplier Registering modules is used for typing supplier information the described supplier letter that will receive
Breath is sent in described supplier information memory element.
Cloud intelligence the most according to claim 2 makes article made to order intelligent searching system, it is characterised in that described supplier registers mould
Block farther includes aptitude checking module, and described aptitude checking module is for auditing the qualification of described supplier, with in described confession
Send after answering business's registration process and register whether successfully instruction.
Cloud intelligence the most according to claim 1 makes article made to order intelligent searching system, it is characterised in that described demand end module bag
Including purchaser's Registering modules, described purchaser's Registering modules is for collecting the every terms of information of described purchaser and storing.
Cloud intelligence the most according to claim 3 makes article made to order intelligent searching system, it is characterised in that described purchaser registers mould
Block farther includes aptitude checking module, and described aptitude checking module is for auditing the qualification of described purchaser, to adopt described
Send after purchasing business's registration process and register whether successfully instruction.
Cloud intelligence the most according to claim 1 makes article made to order intelligent searching system, it is characterised in that described demand end module is also
Including signing module, described signing module is used for sending information by described unit of bidding to satisfactory described supplier,
To point out qualified described supplier to contract.
Cloud intelligence the most according to claim 1 makes article made to order intelligent searching system, it is characterised in that described article made to order intelligence is searched
Rope module also includes that maintenance module, described maintenance module are used for revising, delete and increasing in described supplier information memory element
Described purchaser's information of storage in the described supplier information of storage and described purchaser's information memory cell.
Cloud intelligence the most according to claim 1 makes article made to order intelligent searching system, it is characterised in that described article made to order intelligence is searched
Rope module also includes that msu message module, described msu message module are used for auditing the storage of described supplier information memory cell
Described supplier information and described purchaser's information memory cell in storage described purchaser's information.
Cloud intelligence the most according to claim 1 makes article made to order intelligent searching system, it is characterised in that described supply side module is also
Including maintenance module, the described supplier letter that described maintenance module stores up for safeguarding described supplier information memory cell
Breath, in described demand end module also includes that maintenance module, described maintenance module are used for safeguarding described purchaser's information memory cell
Described purchaser's information of storage.
10. one kind realizes the method that cloud intelligence makes article made to order Intelligent Service, it is characterised in that comprise the following steps:
Collect and store described supplier information and collect；
Described purchaser provides qualifications according to demand, to screen the described supplier after collecting, sieves supplier
When selecting, carried out by below equation:
Score (q, d)=coord (q, d) × queryNorm (q) × ∑ (tf (t in d) × idf (t)2×
T.getBoost () × norm (t, d))
Wherein, (q, d) for the scoring factor, is based on the number occurring query term in document, the inquiry that a document occurs to coord
Xiang Yue is many, then the marking of the document will be the highest；QueryNorm (q) represent each query entries variance and；tf(tin d)
Represent the frequency that word t occurs in document d；Idf (t) is the document number of t, and (t, d) is normalization factor to norm, containing two
Parameter Field boost and Document boost, the importance in the former territory, the latter represents the importance of document；
T.getBoost () represents the weight of word in query statement, and q is query statement, and t is each item after q participle, and d is the literary composition of coupling
Shelves；
Purchaser, according to result after screening, sends quotation and invites satisfactory supplier.
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| CN201610626447.9A CN106295972A (en) | 2016-08-02 | 2016-08-02 | Yun Zhi makes article made to order intelligent service system and implementation method |
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107194757A (en) * | 2017-04-18 | 2017-09-22 | 广州智造家网络科技有限公司 | Inquiry method and apparatus |
| CN108846679A (en) * | 2018-05-22 | 2018-11-20 | 北京易知创新数据科技有限公司 | A kind of lead referral method applied to B2B enterprises service |
| CN111951042A (en) * | 2020-07-21 | 2020-11-17 | 北京思特奇信息技术股份有限公司 | Method and system for scheme management |
| CN113902467A (en) * | 2021-09-14 | 2022-01-07 | 特赞（上海）信息科技有限公司 | Method and system for matching supply and demand based on design service industry SKU and storage medium |
| CN115082164A (en) * | 2022-07-19 | 2022-09-20 | 大汉电子商务有限公司 | B2B platform-based purchase and quotation information processing system |
-
2016
- 2016-08-02 CN CN201610626447.9A patent/CN106295972A/en active Pending
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107194757A (en) * | 2017-04-18 | 2017-09-22 | 广州智造家网络科技有限公司 | Inquiry method and apparatus |
| CN108846679A (en) * | 2018-05-22 | 2018-11-20 | 北京易知创新数据科技有限公司 | A kind of lead referral method applied to B2B enterprises service |
| CN111951042A (en) * | 2020-07-21 | 2020-11-17 | 北京思特奇信息技术股份有限公司 | Method and system for scheme management |
| CN113902467A (en) * | 2021-09-14 | 2022-01-07 | 特赞（上海）信息科技有限公司 | Method and system for matching supply and demand based on design service industry SKU and storage medium |
| CN115082164A (en) * | 2022-07-19 | 2022-09-20 | 大汉电子商务有限公司 | B2B platform-based purchase and quotation information processing system |
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