CN107370830A - Trade information supplying system and method based on big data - Google Patents
Trade information supplying system and method based on big data Download PDFInfo
- Publication number
- CN107370830A CN107370830A CN201710774484.9A CN201710774484A CN107370830A CN 107370830 A CN107370830 A CN 107370830A CN 201710774484 A CN201710774484 A CN 201710774484A CN 107370830 A CN107370830 A CN 107370830A
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- information
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- building trade
- big data
- trade
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/50—Network services
- H04L67/55—Push-based network services
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/90—Details of database functions independent of the retrieved data types
- G06F16/95—Retrieval from the web
- G06F16/953—Querying, e.g. by the use of web search engines
- G06F16/9535—Search customisation based on user profiles and personalisation
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- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Information Transfer Between Computers (AREA)
Abstract
A kind of trade information supplying system and method based on big data provided by the invention, including building trade database, interactive module, customer analysis module and pushing module, building trade database are used to collect and store the relevant information of building trade；Interactive module is used to interact with subscription client, interactive module includes customer service unit and user feedback unit, customer analysis module is used for the attribute information for obtaining active user, is screened according to the attribute information of user from building trade database and obtains the recommendation information to match with customer attribute information；Pushing module is used to recommendation information pushing to user.By monitoring the Query Information of user, the attribute information of user is obtained, the screening and push to information are then completed according to the attribute information of user, inquiry difficulty of the user to information is reduced, improves search efficiency.
Description
Technical field
The present invention relates to information advancing technique field, the trade information supplying system and method for big data are specifically based on.
Background technology
Trade information push refers to utilize shareholder's media computer technology and network technology, realize system and user group it
Between formed exchange and interdynamic mode, with the development of internet, user can complete increasing thing by internet.And
At present, the information content in network is huge that user generally requires to obtain the information of oneself needs from substantial amounts of numerous and diverse information,
Search that information efficiency is low, difficulty is big in substantial amounts of data, have a strong impact on Consumer's Experience.
The content of the invention
For in the prior art the defects of, the present invention provides a kind of trade information supplying system and side based on big data
Method, inquiry difficulty of the user to information is reduced, improves search efficiency.
A kind of trade information supplying system based on big data provided by the invention, it is characterised in that including building trade
Database, interactive module, customer analysis module and pushing module, building trade database are used to collect and store building trade
Relevant information；Interactive module is used to interact with subscription client and record the information of client query, and interactive module includes
Customer service unit and user feedback unit；The acquisition of information for the client query that customer analysis module records according to interactive module is current
The attribute information of user, and screened and obtained and customer attribute information phase from building trade database according to the attribute information of user
The recommendation information of matching；Pushing module is used to recommendation information pushing to user.
Further, customer service unit includes storage server, work order server and answering server, work order server, uses
In the inquiry request of reception user terminal, and generate corresponding work order number；Answering server, for building trade database
Response message is extracted, and is sent to user terminal；Storage server, for storing the information for the inquiry request for carrying out user terminal
With service response information.
Further, user feedback unit is used to receive the feedback information that client is directed to pushed information.
A kind of trade information method for pushing based on big data, comprises the following steps：
S1, establish building trade database；
S2, reception and the Query Information for storing user terminal transmission；
S3, the Query Information recorded according to interactive module determine the attribute information of user；
S4, according to attribute information, Rapid matching filters out recommendation information from building trade database；
S5, recommendation information pushed into client.
Further, the specific method of Rapid matching is in S4：Each table in building trade database is set
Screening conditions are scanned for, and search result is preserved as search condition next time.
Further, recommendation information is pushed into client in S5 also includes member's push, and member's push is：Will building
Sector database obtain building trade renewal data it is collated after push to client.
As shown from the above technical solution, beneficial effects of the present invention：
The present invention provides a kind of trade information supplying system based on big data, including building trade database, interactive module, use
Family analysis module and pushing module, building trade database are used to collect and store the relevant information of building trade；Interactive module
For being interacted with subscription client, interactive module includes customer service unit and user feedback unit, and customer analysis module is used for
The attribute information of active user is obtained, is screened from building trade database and obtained and user property according to the attribute information of user
The recommendation information of information match；Pushing module is used to recommendation information pushing to user.By monitoring the Query Information of user,
The attribute information of user is obtained, the screening and push to information are then completed according to the attribute information of user, reduces user to letter
The inquiry difficulty of breath, improves search efficiency.
Brief description of the drawings
, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical scheme of the prior art
The required accompanying drawing used is briefly described in embodiment or description of the prior art.In all of the figs, similar element
Or part is typically identified by similar reference.In accompanying drawing, each element or part might not be drawn according to the ratio of reality.
Fig. 1 is a kind of structured flowchart of the trade information supplying system based on big data of the present invention.
Fig. 2 is a kind of schematic flow sheet of the trade information method for pushing based on big data of the present invention.
Embodiment
The embodiment of technical solution of the present invention is described in detail below in conjunction with accompanying drawing.Following examples are only used for
Clearly illustrate technical scheme, therefore be only used as example, and the protection model of the present invention can not be limited with this
Enclose.
It should be noted that unless otherwise indicated, technical term or scientific terminology used in this application should be this hair
The ordinary meaning that bright one of ordinary skill in the art are understood.
Fig. 1 to Fig. 2 is referred to, the present embodiment provides a kind of trade information supplying system based on big data, including building
Sector database, interactive module, customer analysis module and pushing module, building trade database are used to collecting and storing building row
The relevant information of industry.Interactive module is used to interact with subscription client, and interactive module includes customer service unit and user feedback
Unit, customer service unit include storage server, work order server and answering server, work order server, for receiving user's end
The inquiry request at end, and generate corresponding work order number；Answering server, for extracting response letter to building trade database
Breath, and send to user terminal；Storage server, for storing the information and service response of the inquiry request for carrying out user terminal
Information.User feedback unit is used to receive the feedback information that client is directed to pushed information.
Customer analysis module is used to obtain the attribute information of active user, according to the attribute information of user from building trade number
The recommendation information to match with customer attribute information is obtained according to screening in storehouse；Attribute information includes：Company information, qualification information,
At least one of personal information, certificate information and performance information.
Pushing module is used to recommendation information pushing to user.Push is divided into common push and member's push, common push
The recommendation information that customer analysis module screens to obtain as is pushed into subscription client, allows users to grasp oneself public affairs in real time
Department and the data variation of industry.Member's push is user in the case where receiving common PUSH message, passes through user's feedback unit
Attribute information is deleted or added, carries out personalized specialty customization, allows user more to facilitate and grasps industry change.
A kind of trade information method for pushing based on big data, comprises the following steps：
S1, establish building trade database；
S2, reception and the Query Information for storing user terminal transmission；
S3, the Query Information recorded according to interactive module determine the attribute information of user；
S4, according to attribute information, Rapid matching filters out recommendation information from building trade database；
S5, recommendation information pushed into client.
The specific method of Rapid matching is in S4：Screening conditions are set to enter in each table in building trade database
Row search, and search result is preserved as search condition next time.Both N number of complexity can be set simultaneously to individual table
Condition, simultaneously multiple tables can also be set with responsible condition, and these tables are carried out by joint investigation operation by Correlation Criteria.And
And the result that retrieves of screening conditions is brought into as screening conditions inquired about again, is made the result of retrieval fewer and fewer, is also got over
Add accurate.
Recommendation information is pushed into client in S5 also includes member's push, and member's push is：User is receiving commonly
In the case of PUSH message, attribute information is deleted or added by user's feedback unit, carry out personalized specialty customization, allow user
It is more convenient to grasp industry change.
Finally it should be noted that：Various embodiments above is merely illustrative of the technical solution of the present invention, rather than its limitations；To the greatest extent
The present invention is described in detail with reference to foregoing embodiments for pipe, it will be understood by those within the art that：Its according to
The technical scheme described in foregoing embodiments can so be modified, either which part or all technical characteristic are entered
Row equivalent substitution；And these modifications or replacement, the essence of appropriate technical solution is departed from various embodiments of the present invention technology
The scope of scheme, it all should cover among the claim of the present invention and the scope of specification.
Claims (6)
1. a kind of trade information supplying system based on big data, it is characterised in that including building trade database, interaction mould
Block, customer analysis module and pushing module,
The building trade database is used to collect and store the relevant information of building trade；
The interactive module is used to interact with subscription client and record the information of client query, the interactive module bag
Include customer service unit and user feedback unit；
The attribute information of the acquisition of information active user for the client query that the customer analysis module records according to interactive module,
And screened according to the attribute information of user from building trade database and obtain the recommendation information to match with customer attribute information；
The pushing module is used to recommendation information pushing to user.
2. the trade information supplying system based on big data according to claim 1, it is characterised in that：The customer service unit bag
Storage server, work order server and answering server are included,
The work order server, for receiving the inquiry request of user terminal, and generate corresponding work order number；
The answering server, for extracting response message to building trade database, and send to user terminal；
The storage server, for storing the information and service response information of the inquiry request for carrying out user terminal.
3. the trade information supplying system based on big data according to claim 2, it is characterised in that：The user feedback list
Member is used to receive the feedback information that client is directed to pushed information.
4. a kind of trade information method for pushing based on big data, it is characterised in that comprise the following steps：
S1, establish building trade database；
S2, reception and the Query Information for storing user terminal transmission；
S3, the Query Information recorded according to interactive module determine the attribute information of user；
S4, according to attribute information, Rapid matching filters out recommendation information from building trade database；
S5, recommendation information pushed into client.
5. the trade information method for pushing based on big data according to claim 4, it is characterised in that quick in the S4
The specific method matched somebody with somebody is：Screening conditions are set to scan in each table in building trade database, and by search result
Preserve as search condition next time.
6. the trade information method for pushing based on big data according to claim 5, it is characterised in that will recommend in the S5
Information, which pushes to client, also includes member's push, and member's push is：Building trade database is obtained into building trade more
Client is pushed to after new data are collated.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710774484.9A CN107370830B (en) | 2017-08-31 | 2017-08-31 | Trade information supplying system based on big data and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710774484.9A CN107370830B (en) | 2017-08-31 | 2017-08-31 | Trade information supplying system based on big data and method |
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| Publication Number | Publication Date |
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| CN107370830A true CN107370830A (en) | 2017-11-21 |
| CN107370830B CN107370830B (en) | 2018-09-04 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710774484.9A Active CN107370830B (en) | 2017-08-31 | 2017-08-31 | Trade information supplying system based on big data and method |
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| CN (1) | CN107370830B (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109840299A (en) * | 2017-11-29 | 2019-06-04 | 上海美期网络科技有限公司 | A kind of security, futures and financial derivative information exchange platform and exchange method |
| CN111581504A (en) * | 2020-04-27 | 2020-08-25 | 佛山科学技术学院 | Industry information pushing method and system based on big data |
| CN112015892A (en) * | 2020-07-24 | 2020-12-01 | 上海淇玥信息技术有限公司 | Resource allocation method and device and electronic equipment |
| CN113297516A (en) * | 2021-04-27 | 2021-08-24 | 上海淇玥信息技术有限公司 | Customer interaction interface generation method and device and electronic equipment |
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| CN102164154A (en) * | 2010-02-22 | 2011-08-24 | 中国联合网络通信集团有限公司 | Method and system for transmitting network information |
| US20140195546A1 (en) * | 2011-12-19 | 2014-07-10 | Tom Yitao Ren | Selective Push System For User Data And Confidential Information Management With High Precision Matching |
| CN106911806A (en) * | 2017-04-26 | 2017-06-30 | 努比亚技术有限公司 | A kind of method of PUSH message, terminal, server and system |
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2017
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102164154A (en) * | 2010-02-22 | 2011-08-24 | 中国联合网络通信集团有限公司 | Method and system for transmitting network information |
| US20140195546A1 (en) * | 2011-12-19 | 2014-07-10 | Tom Yitao Ren | Selective Push System For User Data And Confidential Information Management With High Precision Matching |
| CN106911806A (en) * | 2017-04-26 | 2017-06-30 | 努比亚技术有限公司 | A kind of method of PUSH message, terminal, server and system |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109840299A (en) * | 2017-11-29 | 2019-06-04 | 上海美期网络科技有限公司 | A kind of security, futures and financial derivative information exchange platform and exchange method |
| CN111581504A (en) * | 2020-04-27 | 2020-08-25 | 佛山科学技术学院 | Industry information pushing method and system based on big data |
| CN112015892A (en) * | 2020-07-24 | 2020-12-01 | 上海淇玥信息技术有限公司 | Resource allocation method and device and electronic equipment |
| CN113297516A (en) * | 2021-04-27 | 2021-08-24 | 上海淇玥信息技术有限公司 | Customer interaction interface generation method and device and electronic equipment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107370830B (en) | 2018-09-04 |
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Address after: No. 1702, 17th floor, unit 1, building 1, No. 555, middle Yizhou Avenue, high tech Zone, Chengdu, Sichuan 610095 Patentee after: Chengdu maopaste Big Data Technology Co.,Ltd. Address before: 610041 No. 9, No. 9, building 3, No. 1480, No. 1, north section of Tianfu Avenue, Chengdu hi tech Development Zone, Sichuan, Chengdu Patentee before: CHENGDU ZHONGJIAN KELIAN NETWORK TECHNOLOGY Co.,Ltd. |
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