CN107370830B - Trade information supplying system based on big data and method - Google Patents
Trade information supplying system based on big data and method Download PDFInfo
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- CN107370830B CN107370830B CN201710774484.9A CN201710774484A CN107370830B CN 107370830 B CN107370830 B CN 107370830B CN 201710774484 A CN201710774484 A CN 201710774484A CN 107370830 B CN107370830 B CN 107370830B
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- information
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- building trade
- big data
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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 with subscription client for interacting, interactive module includes customer service unit and user feedback unit, customer analysis module is used to obtain the attribute information of active user, is screened from building trade database according to the attribute information of user 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, screening and push to information are then completed according to the attribute information of user, user is reduced to the inquiry difficulty of information, improves search efficiency.
Description
Technical field
The present invention relates to information advancing technique fields, are specifically based on the trade information supplying system and method for big data.
Background technology
Trade information push refers to utilizing 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 more and more things by internet.And
Currently, the information content in network is huge, user generally requires to obtain the information oneself needed from a large amount of complicated information,
It searches that information efficiency is low, difficulty is big in a large amount of data, seriously affects user experience.
Invention content
For the defects in the prior art, the present invention provides a kind of trade information supplying system based on big data and side
Method reduces inquiry difficulty of the user to information, improves search efficiency.
A kind of trade information supplying system based on big data provided by the invention, which is characterized in that including building trade
Database, interactive module, customer analysis module and pushing module, building trade database is for collecting and storing building trade
Relevant information；Interactive module is used to interact and record with subscription client the information of client query, and interactive module includes
Customer service unit and user feedback unit；Customer analysis module is current according to the acquisition of information for the client query that interactive module records
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
Matched recommendation information；Pushing module is used to recommendation information pushing to user.
Further, customer service unit includes storage server, work order server and answering server, and work order server is used
In the inquiry request of reception user terminal, and generate corresponding work order number；Answering server is used for building trade database
Response message is extracted, and is sent to the user terminal；Storage server, the information for storing 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, includes the following steps：
S1, building trade database is established；
S2, the Query Information for receiving and 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 is pushed into client.
Further, the specific method of Rapid matching is in S4：To each table setting in building trade database
Screening conditions scan for, and search result is preserved as search condition next time.
Further, it further includes member's push recommendation information to be pushed to client in S5, and member's push is：It will building
Client is pushed to after the sector database acquisition newer data of building trade are collated.
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, interaction mould
Block, customer analysis module and pushing module, building trade database are used to collect and store the relevant information of building trade；Interaction
For module for being interacted with subscription client, interactive module includes customer service unit and user feedback unit, customer analysis module
Attribute information for obtaining active user is screened from building trade database according to the attribute information of user and is obtained and user
The recommendation information that attribute information matches；Pushing module is used to recommendation information pushing to user.By the inquiry for monitoring user
Information obtains the attribute information of user, then completes screening and push to information according to the attribute information of user, reduces user
To the inquiry difficulty of information, search efficiency is improved.
Description of the drawings
It, below will be to specific in order to illustrate more clearly of the specific embodiment of the invention or technical solution in the prior art
Embodiment or attached drawing needed to be used in the description of the prior art are briefly described.In all the appended drawings, similar element
Or part is generally identified by similar reference numeral.In attached drawing, each element or part might not be drawn according to actual ratio.
Fig. 1 is a kind of structure diagram of the trade information supplying system based on big data of the present invention.
Fig. 2 is a kind of flow diagram of the trade information method for pushing based on big data of the present invention.
Specific implementation mode
The embodiment of technical solution of the present invention is described in detail below in conjunction with attached drawing.Following embodiment is only used for
Clearly illustrate technical scheme of the present invention, therefore be only used as example, and the protection model of the present invention cannot be limited with this
It encloses.
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.
It please refers to Fig.1 to Fig. 2, 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 is for collecting and storing building row
The relevant information of industry.For interactive module for being interacted with subscription client, 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 be sent to the user terminal；Storage server, information and service response for storing 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 library；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 to push
The recommendation information that customer analysis module is screened as is pushed into subscription client, allows users to grasp oneself public affairs in real time
The data variation of department and industry.Member pushes as user in the case where receiving common PUSH message, passes through user feedback unit
Attribute information is deleted or added, personalized profession customization is carried out, the more convenient grasp industry of user is allowed to change.
A kind of trade information method for pushing based on big data, includes the following steps：
S1, building trade database is established；
S2, the Query Information for receiving and 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 is pushed into client.
The specific method of Rapid matching is in S4：To in building trade database each table be arranged screening conditions into
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, condition that can also be responsible to the setting of multiple tables simultaneously, and these tables are carried out by joint investigation operation by Correlation Criteria.And
And the result that retrieves of screening conditions brings into as screening conditions inquired again, makes the result of retrieval fewer and fewer, also gets over
Add accurate.
It further includes member's push that recommendation information, which is pushed to client, in S5, and member's push is：User is receiving commonly
In the case of PUSH message, by user feedback element deletion or addition attribute information, personalized profession customization is carried out, allows user
More convenient grasp industry variation.
Finally it should be noted that：The above embodiments are only used to illustrate the technical solution of the present invention., rather than its limitations；To the greatest extent
Present invention has been described in detail with reference to the aforementioned embodiments for pipe, it will be understood by those of ordinary skill in the art that：Its according to
So can with technical scheme described in the above embodiments is modified, either to which part or all technical features into
Row equivalent replacement；And these modifications or replacements, various embodiments of the present invention technology that it does not separate the essence of the corresponding technical solution
The range of scheme should all cover in the claim of the present invention and the range of specification.
Claims (6)
1. a kind of trade information supplying system based on big data, which is characterized 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 and record with subscription client the information of client query, the interactive module packet
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 is recorded according to interactive module,
And it is screened from building trade database according to the attribute information of user and obtains the recommendation information to match with customer attribute information；
The attribute information includes：At least one of company information, qualification information, personal information, certificate information and performance 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 packet
Storage server, work order server and answering server are included,
The work order server, the inquiry request for receiving user terminal, and generate corresponding work order number；
The answering server for extracting response message to building trade database, and is sent to the user terminal；
The storage server, the information for storing the inquiry request for carrying out user terminal and service response information.
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 directed to the feedback information of pushed information for receiving client.
4. a kind of trade information method for pushing based on big data, which is characterized in that include the following steps：
S1, building trade database is established；
S2, the Query Information for receiving and storing user terminal transmission；
S3, the Query Information recorded according to interactive module determine that the attribute information of user, the attribute information include：Company believes
At least one of breath, qualification information, personal information, certificate information and performance information；
S4, according to attribute information, Rapid matching filters out recommendation information from building trade database；
S5, recommendation information is pushed into client.
5. the trade information method for pushing based on big data according to claim 4, which is characterized in that quick in the S4
The specific method matched is：Each table setting screening conditions in building trade database are scanned for, and by search result
It preserves as search condition next time.
6. the trade information method for pushing based on big data according to claim 5, which is characterized in that will recommend in the S5
It further includes member's push that information, which pushes to client, 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 |
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| CN201710774484.9A CN107370830B (en) | 2017-08-31 | 2017-08-31 | Trade information supplying system based on big data and method |
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| 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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| CN107370830A CN107370830A (en) | 2017-11-21 |
| CN107370830B true CN107370830B (en) | 2018-09-04 |
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Families Citing this family (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 |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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 |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| 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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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. |