CN109064339A - A kind of method and system of intelligence inquiry merchant vector environmental information - Google Patents
A kind of method and system of intelligence inquiry merchant vector environmental information Download PDFInfo
- Publication number
- CN109064339A CN109064339A CN201811062765.2A CN201811062765A CN109064339A CN 109064339 A CN109064339 A CN 109064339A CN 201811062765 A CN201811062765 A CN 201811062765A CN 109064339 A CN109064339 A CN 109064339A
- Authority
- CN
- China
- Prior art keywords
- information
- investment
- enterprise
- user
- preference
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 230000007613 environmental effect Effects 0.000 title claims abstract description 32
- 238000000034 method Methods 0.000 title claims abstract description 17
- 238000004458 analytical method Methods 0.000 claims abstract description 19
- 230000008676 import Effects 0.000 claims abstract description 17
- 238000005457 optimization Methods 0.000 claims description 9
- 238000007476 Maximum Likelihood Methods 0.000 claims description 3
- 230000011218 segmentation Effects 0.000 claims description 3
- 238000013518 transcription Methods 0.000 claims description 3
- 230000035897 transcription Effects 0.000 claims description 3
- 238000005054 agglomeration Methods 0.000 claims description 2
- 230000002776 aggregation Effects 0.000 claims description 2
- 239000000969 carrier Substances 0.000 claims description 2
- 238000011002 quantification Methods 0.000 abstract description 2
- 230000026676 system process Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 2
- 230000008901 benefit Effects 0.000 description 1
- 238000004364 calculation method Methods 0.000 description 1
- 235000013399 edible fruits Nutrition 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003891 environmental analysis Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 238000012544 monitoring process Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/06—Asset management; Financial planning or analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/10—Services
- G06Q50/26—Government or public services
Landscapes
- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Development Economics (AREA)
- Strategic Management (AREA)
- General Business, Economics & Management (AREA)
- Economics (AREA)
- Finance (AREA)
- Human Resources & Organizations (AREA)
- Marketing (AREA)
- Accounting & Taxation (AREA)
- Tourism & Hospitality (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Educational Administration (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Entrepreneurship & Innovation (AREA)
- General Health & Medical Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Operations Research (AREA)
- Technology Law (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The present invention proposes a kind of method and system of intelligence inquiry merchant vector environmental information, carries out intelligent semantic analysis to company information, investment project information, merchant vector environmental information, establishes Enterprise Project database, merchant vector environment data base；According to the investment project information that enterprise provides, its investment preference is analyzed with the intelligent semantic analysis of abovementioned steps, and be ranked up to investment preference；Push query result.User's import information is carried out quantification treatment by the present invention, is carried out ranking to extracted data, and assign weight according to ranking, is weighted, realizes the intelligence system process for pushing merchant vector environmental information according to enterprise preference.
Description
Technical field
The invention belongs to field of information system, a kind of method for especially relating to intelligence inquiry merchant vector environmental information
And system.
Background technique
Enterprise carries out addressing, needs the investment preference according to itself, carries out comprehensive consideration to the information of merchant vector environment
And it makes a choice.Currently in order to the merchant vector environmental information for facilitating enterprise query different, carries out carrier environment comprehensive analysis, enterprise
Industry can carry out carrier environmental analysis and selection according to the investment preference of itself, engagement expert, and human cost, time cost are higher,
Thus need a kind of intelligent, without manpower intervention merchant vector environmental information intelligent inquiry system, enable the enterprise to quickly,
Accurately according to itself investment preference, the merchant vector for being suitble to investment is inquired.
Summary of the invention
In view of this, the present invention proposes a kind of method and system of intelligence inquiry merchant vector environmental information, according to enterprise
Preference intelligently pushing merchant vector environmental information.
In order to achieve the above objectives, the technical scheme of the present invention is realized as follows:
A method of intelligence inquires merchant vector environmental information, includes:
S1, user information import, comprising:
Trade and investment promotion service object's user information imports: after trade and investment promotion service object's user's registration, guidance user provides company information
With investment project brief introduction；
Trade and investment promotion department user information imports: after the registration of trade and investment promotion department user, guidance user provides merchant vector environmental information；
S2, intelligent semantic analysis is carried out to company information, investment project information, merchant vector environmental information, establishes enterprise
Project database, merchant vector environment data base；
S3, the investment project information provided according to enterprise, with the intelligent semantic analysis analysis of abovementioned steps, its investment is inclined
It is good, and investment preference is ranked up；
S4, according to aforementioned enterprise investment ordering of optimization preference, select respective carrier environment as enterprise query as a result, being pushed away
It send.
Further, the method for the analysis of intelligent semantic described in step S2 includes:
S11, the company information to user's importing, investment project information, merchant vector environmental information carry out data cleansing；
S12, part-of-speech tagging, name Entity recognition, participle are carried out to message sample with condition random field algorithm, obtained not
With the frequency probability of label data participle, dedicated participle library is established by high frequency vocabulary；
S13, Chinese word segmentation is converted to mathematical form, i.e. participle vectorization, system uses Word2Vec algorithm, by this
The N number of word in the front and back of participle come infer the word occur probability, determine parameter using maximum likelihood estimate；
S14, transcription comparison is carried out with Doc2Vec similarity algorithm, generates enterprise database and carrier environment data base.
Further, enterprise investment preference information described in step S3 is divided into two-stage, and wherein the industry in first order information is poly-
Intensity information, traffic related information and public service efficiency information related data are external data base acquirement；Talent's concentration class
Information is the ratio of carrier rings domestic enterprise talent's number and enterprise's sum.
Further, method for pushing described in step S4 includes, according to enterprise investment ordering of optimization preference as a result, to different carriers ring
Corresponding carrier information assigns weight according to enterprise investment ordering of optimization preference in the database of border, is weighted, and ties by calculating
Fruit carries out merchant vector environment integrated ordered, selects first three carrier of ranking as enterprise query as a result, being pushed to enterprise.
Another aspect of the present invention additionally provides a kind of system of intelligence inquiry merchant vector environmental information, including basis
Module further includes application service module, and the application service module includes database module, service content module, user service
Module, result output module；The database module includes company information data and carrier environmental data；The service content mould
Block is pushed for enterprise investment preference analysis and sequence and result；The user service module accesses function for providing user
Energy；The result output module is shown for commercial transport body environment ranking result information.
Further, the database module includes:
Company information data library: for storing company information, investment project brief introduction；
Carrier environment data base: for storing trade and investment promotion department carrier environmental information.
Further, the service content module includes:
User register unit: user is registered as personal user by cell-phone number, fills in company information as enterprise customer, fills out
Trade and investment promotion department information is write as trade and investment promotion department user；
User information import unit: company information, investment project brief introduction, merchant vector environmental information import；
Investment preference generation unit: enterprise investment preference analysis and sequence；
Carrier query unit: query result push.
Compared with the existing technology, present invention has the advantage that
The present invention is a series of by using condition random field algorithm, Word2Vec algorithm and Doc2Vec similarity algorithm etc.
User's import information is carried out quantification treatment by algorithm, carries out ranking to extracted data, and assign weight according to ranking, into
Row weighted calculation realizes the intelligence system process that merchant vector environmental information is pushed according to enterprise preference.
Detailed description of the invention
Fig. 1 is the flow diagram of the intelligent semantic analysis of the embodiment of the present invention；
Fig. 2 is the system architecture schematic diagram of the embodiment of the present invention.
Specific embodiment
It should be noted that in the absence of conflict, the feature in embodiment and embodiment in the present invention can phase
Mutually combination.
Below in conjunction with attached drawing, the present invention will be described in detail.
Specific method of the invention includes:
1. creating user: trade and investment promotion service object user and trade and investment promotion department user；
2. user information imports:
1) trade and investment promotion service object user information imports: after user's registration, guidance user provides company information and investment project
Brief introduction；
2) trade and investment promotion department user information imports: after user's registration, guidance user provides merchant vector environmental information；
3. pair company information, investment project information, merchant vector environmental information carry out intelligent semantic analysis, enterprise is established
Mesh database, merchant vector environment data base；
4. with the intelligent semantic analysis analysis of abovementioned steps, its investment is inclined according to the investment project information that enterprise provides
It is good, and investment preference is ranked up；
5. selecting respective carrier environment as enterprise query as a result, being pushed according to aforementioned enterprise investment ordering of optimization preference.
The specific method that wherein intelligent semantic described in step 2 is analyzed is as shown in Figure 1:
1) data cleansing is carried out to the company information of user's importing, investment project information, merchant vector environmental information；
2) part-of-speech tagging, name Entity recognition, participle are carried out to message sample with condition random field algorithm, obtains difference
The frequency probability of label data participle, establishes dedicated participle library by high frequency vocabulary；
3) mathematical form is converted by Chinese word segmentation, i.e. participle vectorization, system uses Word2Vec algorithm, passes through this point
The N number of word in the front and back of word come infer the word occur probability, determine parameter using maximum likelihood estimate；
4) transcription comparison is carried out with Doc2Vec similarity algorithm, generates enterprise database and carrier environment data base.
Enterprise investment preference information described in step 4 is divided into two-stage, as shown in the table:
Wherein, Industry Agglomeration degree information, traffic related information and public service efficiency information related data are external number
It is obtained according to library；Talent's concentration class information is the ratio of carrier rings domestic enterprise talent's number and enterprise's sum.
The query result of carrier environment described in step 5 pushes, and needs according to enterprise investment ordering of optimization preference as a result, to different loads
Corresponding carrier information assigns weight according to enterprise investment ordering of optimization preference in body environment data base, is weighted, and based on
It calculates result and merchant vector environment is carried out integrated ordered, select first three carrier of ranking as enterprise query as a result, being pushed to enterprise
Industry.
System architecture of the invention includes basic module and application service, as shown in Figure 2:
One, the application service is equipped with:
1) database:
A) company information data library: company information, investment project brief introduction etc.；
B) carrier environment data base: trade and investment promotion department carrier environmental information；
2) service content:
A) user's registration: user is registered as personal user by cell-phone number, fills in company information as enterprise customer, fills in
Trade and investment promotion department information becomes trade and investment promotion department user.
B) user information imports: company information, investment project brief introduction, merchant vector environmental information import.
C) investment preference generates: enterprise investment preference analysis and sequence；
D) carrier is inquired: query result push.
3) user service: user can access this system by computer, tablet computer；
4) result exports: merchant vector environment ranking result information is shown.
Two, the basic module includes:
1) authentication subscriber information management: is carried out using general user+password login mode；
2) data are imported and are exported: the typing and output of data；
3) rights management: the management including system safety regulation, data access rule, application service access rule etc.；
4) log management: including system log, database journal and application log；Hardware, system in record system
Software, application software, the information of database and system problem, while can event to occur in monitoring system.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (7)
1. a kind of method of intelligence inquiry merchant vector environmental information characterized by comprising
S1, user information import, comprising:
Trade and investment promotion service object's user information imports: after trade and investment promotion service object's user's registration, guidance user provides company information and throwing
Provide project brief；
Trade and investment promotion department user information imports: after the registration of trade and investment promotion department user, guidance user provides merchant vector environmental information；
S2, intelligent semantic analysis is carried out to company information, investment project information, merchant vector environmental information, establishes Enterprise Project
Database, merchant vector environment data base；
S3, the investment project information provided according to enterprise analyze its investment preference with the intelligent semantic analysis of abovementioned steps, and
Investment preference is ranked up；
S4, according to aforementioned enterprise investment ordering of optimization preference, select respective carrier environment as enterprise query as a result, being pushed.
2. the method according to claim 1, wherein the method for the analysis of intelligent semantic described in step S2 includes:
S11, the company information to user's importing, investment project information, merchant vector environmental information carry out data cleansing；
S12, part-of-speech tagging, name Entity recognition, participle are carried out to message sample with condition random field algorithm, obtains different marks
The frequency probability for signing data participle, establishes dedicated participle library by high frequency vocabulary；
S13, Chinese word segmentation is converted to mathematical form, i.e. participle vectorization, system uses Word2Vec algorithm, passes through the participle
The N number of word in front and back come infer the word occur probability, determine parameter using maximum likelihood estimate；
S14, transcription comparison is carried out with Doc2Vec similarity algorithm, generates enterprise database and carrier environment data base.
3. the method according to claim 1, wherein enterprise investment preference information described in step S3 is divided into two-stage,
Wherein the Industry Agglomeration degree information in first order information, traffic related information and public service efficiency information related data are outer
Portion's database obtains；Talent's concentration class information is the ratio of carrier rings domestic enterprise talent's number and enterprise's sum.
4. the method according to claim 1, wherein method for pushing described in step S4 includes, according to enterprise investment
Ordering of optimization preference is weighed as a result, assigning to carrier information corresponding in different carriers environment data base according to enterprise investment ordering of optimization preference
Weight, be weighted, and by calculated result to merchant vector environment carry out it is integrated ordered, select ranking first three carrier as
Enterprise query is as a result, be pushed to enterprise.
5. a kind of system of intelligence inquiry merchant vector environmental information, which is characterized in that further include using clothes including basic module
Business module, the application service module includes database module, service content module, user service module, result output module；
The database module includes company information data and carrier environmental data；The service content module is used for enterprise investment preference
Analysis is pushed with sequence and result；The user service module is for providing user's access function；The result output module
It is shown for commercial transport body environment ranking result information.
6. system according to claim 5, which is characterized in that the database module includes:
Company information data library: for storing company information, investment project brief introduction；
Carrier environment data base: for storing trade and investment promotion department carrier environmental information.
7. system according to claim 5, which is characterized in that the service content module includes:
User register unit: user is registered as personal user by cell-phone number, fills in company information as enterprise customer, fills in trick
Quotient department information becomes trade and investment promotion department user；
User information import unit: company information, investment project brief introduction, merchant vector environmental information import；
Investment preference generation unit: enterprise investment preference analysis and sequence；
Carrier query unit: query result push.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811062765.2A CN109064339A (en) | 2018-09-12 | 2018-09-12 | A kind of method and system of intelligence inquiry merchant vector environmental information |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811062765.2A CN109064339A (en) | 2018-09-12 | 2018-09-12 | A kind of method and system of intelligence inquiry merchant vector environmental information |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109064339A true CN109064339A (en) | 2018-12-21 |
Family
ID=64760338
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811062765.2A Pending CN109064339A (en) | 2018-09-12 | 2018-09-12 | A kind of method and system of intelligence inquiry merchant vector environmental information |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109064339A (en) |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070130043A1 (en) * | 1999-07-23 | 2007-06-07 | O'shaughnessy James P | System for selecting and purchasing assets and maintaining an investment portfolio |
| CN104794643A (en) * | 2015-03-19 | 2015-07-22 | 布瑞克（苏州）农业信息科技有限公司 | Remote bidding and tendering method for agricultural products |
| CN106296299A (en) * | 2016-08-17 | 2017-01-04 | 杭州安通招商技术有限公司 | The storage Factory Building full data management system and method for trade and investment promotion |
| CN106709806A (en) * | 2016-12-22 | 2017-05-24 | 杭州索骥数据科技有限公司 | Venture capital investment information tracking and collection method |
| CN106815293A (en) * | 2016-12-08 | 2017-06-09 | 中国电子科技集团公司第三十二研究所 | System and method for constructing knowledge graph for information analysis |
| CN106886862A (en) * | 2017-04-15 | 2017-06-23 | 湖南新邦软件股份有限公司 | One kind bid and purchase management system and method |
| CN106960063A (en) * | 2017-04-20 | 2017-07-18 | 广州优亚信息技术有限公司 | A kind of internet information crawl and commending system for field of inviting outside investment |
| CN107180298A (en) * | 2017-04-26 | 2017-09-19 | 北京望远迅杰科技有限公司 | A kind of recommendation method of investment project |
| CN107292744A (en) * | 2017-06-07 | 2017-10-24 | 前海梧桐（深圳）数据有限公司 | Investment Trend analysis method and its system based on machine learning |
| CN107767119A (en) * | 2017-10-24 | 2018-03-06 | 广东华伦招标有限公司 | A kind of intelligent invitation system and method |
| CN108389133A (en) * | 2018-03-19 | 2018-08-10 | 朱将中 | A kind of intelligent auxiliary throws the decision-making technique of Gu |
-
2018
- 2018-09-12 CN CN201811062765.2A patent/CN109064339A/en active Pending
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070130043A1 (en) * | 1999-07-23 | 2007-06-07 | O'shaughnessy James P | System for selecting and purchasing assets and maintaining an investment portfolio |
| CN104794643A (en) * | 2015-03-19 | 2015-07-22 | 布瑞克（苏州）农业信息科技有限公司 | Remote bidding and tendering method for agricultural products |
| CN106296299A (en) * | 2016-08-17 | 2017-01-04 | 杭州安通招商技术有限公司 | The storage Factory Building full data management system and method for trade and investment promotion |
| CN106815293A (en) * | 2016-12-08 | 2017-06-09 | 中国电子科技集团公司第三十二研究所 | System and method for constructing knowledge graph for information analysis |
| CN106709806A (en) * | 2016-12-22 | 2017-05-24 | 杭州索骥数据科技有限公司 | Venture capital investment information tracking and collection method |
| CN106886862A (en) * | 2017-04-15 | 2017-06-23 | 湖南新邦软件股份有限公司 | One kind bid and purchase management system and method |
| CN106960063A (en) * | 2017-04-20 | 2017-07-18 | 广州优亚信息技术有限公司 | A kind of internet information crawl and commending system for field of inviting outside investment |
| CN107180298A (en) * | 2017-04-26 | 2017-09-19 | 北京望远迅杰科技有限公司 | A kind of recommendation method of investment project |
| CN107292744A (en) * | 2017-06-07 | 2017-10-24 | 前海梧桐（深圳）数据有限公司 | Investment Trend analysis method and its system based on machine learning |
| CN107767119A (en) * | 2017-10-24 | 2018-03-06 | 广东华伦招标有限公司 | A kind of intelligent invitation system and method |
| CN108389133A (en) * | 2018-03-19 | 2018-08-10 | 朱将中 | A kind of intelligent auxiliary throws the decision-making technique of Gu |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gandomi et al. | Beyond the hype: Big data concepts, methods, and analytics | |
| WO2017202125A1 (en) | Text classification method and apparatus | |
| US8639696B2 (en) | Cross-domain clusterability evaluation for cross-guided data clustering based on alignment between data domains | |
| Chen et al. | Exploiting spatio-temporal user behaviors for user linkage | |
| CN108764984A (en) | A kind of power consumer portrait construction method and system based on big data | |
| CN109635117A (en) | A kind of knowledge based spectrum recognition user intention method and device | |
| CN106649890A (en) | Data storage method and device | |
| US20220076231A1 (en) | System and method for enrichment of transaction data | |
| Kim et al. | Inter-cluster connectivity analysis for technology opportunity discovery | |
| JP2016042346A (en) | Method, system, and program for determining social type of person | |
| CN107633022A (en) | Personnel's portrait analysis method, device and storage medium | |
| CN104850955B (en) | The user information intelligent management and system of Network Environment | |
| Paidi | Data mining: Future trends and applications | |
| CN114547346B (en) | Knowledge graph construction method and device, electronic equipment and storage medium | |
| CN110955690A (en) | Self-service data labeling platform and self-service data labeling method based on big data technology | |
| CN110046648A (en) | The method and device of business classification is carried out based at least one business disaggregated model | |
| CN111752922A (en) | Method and device for establishing knowledge database and realizing knowledge query | |
| Cho et al. | Enhancing the accuracy of peak hourly demand in bike-sharing systems using a graph convolutional network with public transit usage data | |
| Bok et al. | Efficient complex event processing over RFID streams | |
| CN115210705A (en) | Vector embedding model for relational tables with invalid or equivalent values | |
| Li et al. | Annotating semantic tags of locations in location-based social networks | |
| Dong et al. | Teledata: data mining, social network analysis and statistics analysis system based on cloud computing in telecommunication industry | |
| CN109064339A (en) | A kind of method and system of intelligence inquiry merchant vector environmental information | |
| Li et al. | Enterprise precision marketing effectiveness model based on data mining technology | |
| CN110147980A (en) | Worksheet method and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181221 |
|
| RJ01 | Rejection of invention patent application after publication |