CN106227764A - A kind of intelligence system of big data cognitive Decision - Google Patents
A kind of intelligence system of big data cognitive Decision Download PDFInfo
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- CN106227764A CN106227764A CN201610558944.XA CN201610558944A CN106227764A CN 106227764 A CN106227764 A CN 106227764A CN 201610558944 A CN201610558944 A CN 201610558944A CN 106227764 A CN106227764 A CN 106227764A
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- 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
Abstract
The invention discloses the intelligence system of a kind of big data cognitive Decision, including by man-machine interaction input/output module, information searching module, information sifting module respectively, the Internet interactive module, memory module, processing module, the intelligence system of the big data cognitive Decision of output module and evaluation decision module composition, described man-machine interaction input/output module respectively with information searching module, memory module, output module and evaluation decision module connect, described information searching module is connected with information sifting module respectively, described information sifting module respectively is connected with memory module and the Internet interactive module respectively.The present invention, by to retrieval information and the management of user, improve the recall precision of big data, needs according to user screen corresponding useful entry, improve user's decision support under big data environment, by the classification of retrieval information is processed, make user conveniently inform the information of retrieval, improve the efficiency that big data message is informed.
Description
Technical field
The present invention relates to areas of information technology, particularly relate to the intelligence system of a kind of big data cognitive Decision.
Background technology
Flourish along with the Internet, big data cause the highest attention of industrial circle, scientific and technological circle and government department.By
Imply huge society, economy, scientific research value in big data, cause the great attention of all trades and professions.Big data age
Arrival all trades and professions are proposed higher challenge, owing to the big data amount of possessing is big, be worth the feature such as by force sparse, ageing,
Impact to conventional information architecture and system is self-evident.Wide material sources and the type of big data are complicated, apply in reality
Time need take more time with money retrieve collect need information, but middle mode be out of step with the times send out
Exhibition, the recall precision of information often determines the developing direction of enterprise, and in order to meet the test in epoch, the retrieval of big data needs more
Add the most effectively, it is therefore desirable to a kind of recall precision is fast, the intelligence system of the simple big data cognitive Decision of management.
Summary of the invention
The invention aims to solve shortcoming present in prior art, and a kind of big data cognitive Decision proposed
Intelligence system.
To achieve these goals, present invention employs following technical scheme:
The intelligence system of a kind of big data cognitive Decision, including by man-machine interaction input/output module, information searching module, information
It is big that screening module, the Internet interactive module, memory module, processing module, output module and evaluation decision module respectively form
The intelligence system of data cognitive Decision, it is characterised in that: described man-machine interaction input/output module respectively with information searching module,
Memory module, output module and evaluation decision module connect, and described information searching module is connected with information sifting module respectively, institute
State information sifting module respectively to be connected with memory module and the Internet interactive module respectively, described the Internet interactive module and process
Module connect, described processing module is connected with output module and memory module respectively, described output module respectively with memory module,
Man-machine interaction input/output module and evaluation decision module connect, described evaluation decision module respectively with memory module and man-machine friendship
Input/output module connects mutually.
Preferably, described man-machine interaction input/output module is for managing and process the access output of various equipment.
Preferably, described information searching module is for managing user and the content of fill message retrieval, including retrieval information
Title, type and user's charge type etc..
Preferably, described information sifting module respectively is for screening user type, the information type of retrieval and retrieval information
Grade.
Preferably, described the Internet interactive module, for retrieving the search instruction that information sifting module respectively sends, is retrieved
Corresponding data entries.
Preferably, described memory module is used for storing user profile (subscriber data, user search history etc.), the Internet is handed over
Mutually information content after module retrieval, user's expenses standard etc..
Preferably, described processing module is for the information for the treatment of classification the Internet interactive module retrieval, according to setting inspection
The information of rope carries out classification process, and deducts fees user according to the expenses standard set.
Preferably, described output module is transferred to the information after retrieval and pay imformation issue user and informs.
Preferably, described evaluation decision module is used for management personnel's hierarchical management to user, the formulation of expenses standard, inspection
Rope information classification approach setting etc..
Beneficial effects of the present invention: by retrieval information and the management of user, improve the recall precision of big data,
Needs according to user screen corresponding useful entry, improve user's decision support under big data environment, by inspection
The classification of rope information processes, and makes user conveniently inform the information of retrieval, improves the efficiency that big data message is informed.
Accompanying drawing explanation
Fig. 1 is the structural representation of the intelligence system of a kind of big data cognitive Decision that the present invention proposes.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.
With reference to Fig. 1, the intelligence system of a kind of big data cognitive Decision, including by man-machine interaction input/output module, information
Retrieval module, information sifting module, the Internet interactive module, memory module, processing module, output module and evaluation decision respectively
The intelligence system of big data cognitive Decision of module composition, it is characterised in that: described man-machine interaction input/output module respectively with
Information searching module, memory module, output module and evaluation decision module connect, and described information searching module is divided with information sifting
Other module connects, and described information sifting module respectively is connected with memory module and the Internet interactive module respectively, described the Internet
Interactive module is connected with processing module, and described processing module is connected with output module and memory module respectively, described output module
Be connected with memory module, man-machine interaction input/output module and evaluation decision module respectively, described evaluation decision module respectively with
Memory module and man-machine interaction input/output module connect, and described man-machine interaction input/output module is used for managing and process various
The access output of equipment, described information searching module is for managing user and the content of fill message retrieval, including retrieval information
Title, type and user's charge type etc., described information sifting module respectively is for screening the info class of user type, retrieval
Type and the grade of retrieval information, described the Internet interactive module is used for retrieving the search instruction that information sifting module respectively sends,
Retrieving corresponding data entries, described memory module is used for storing user profile (subscriber data, user search history etc.), interconnection
Information content after the retrieval of net interactive module, user's expenses standard etc., described processing module is mutual for treatment classification the Internet
The information of module retrieval, carries out classification process according to the information to retrieval that sets, and enters user according to the expenses standard set
Row is deducted fees, and described output module is transferred to the information after retrieval and pay imformation issue user and informs, described evaluation decision mould
Block is used for management personnel's hierarchical management to user, the formulation of expenses standard, retrieval information classification approach setting etc..
Processing module carries out classification process according to the information set retrieving, and its classification processes and is divided into two kinds of methods to tie alternately
Conjunction processes, and the first is according to the value category of the information of retrieval, the value scope of the retrieval information installation provision that difference is worth
Making a distinction, be divided into general retrieval information, useful retrieval information and valuable retrieval information, the second is according to retrieval
The type of process classification of information, installs source the information of retrieval and form makes a distinction, facilitate the reading of subsequent user.
Evaluation decision module is used for management personnel's hierarchical management to user, the formulation of expenses standard, retrieves information classification
Method setting etc., during practice, information multiplicity, information content size and the valency of information that management personnel retrieve for client
Value size formulates expenses standard, management personnel according to the consumption of user, retrieval content number and retrieval frequency and
Consumption, formulates corresponding grade and service plan.
In the present invention, by retrieval information and the management of user, improve the recall precision of big data, according to user
Needs screen corresponding useful entry, improve user's decision support under big data environment, by retrieval information
Classification processes, and makes user conveniently inform the information of retrieval, improves the efficiency that big data message is informed.
The above, the only present invention preferably detailed description of the invention, but protection scope of the present invention is not limited thereto,
Any those familiar with the art in the technical scope that the invention discloses, according to technical scheme and
Inventive concept equivalent or change in addition, all should contain within protection scope of the present invention.
Claims (9)
1. an intelligence system for big data cognitive Decision, including by man-machine interaction input/output module, information searching module, letter
Breath screening module respectively, the Internet interactive module, memory module, processing module, output module and evaluation decision module composition
The intelligence system of big data cognitive Decision, it is characterised in that: described man-machine interaction input/output module respectively with information retrieval mould
Block, memory module, output module and evaluation decision module connect, and described information searching module and information sifting module respectively is even
Connecing, described information sifting module respectively is connected with memory module and the Internet interactive module respectively, described the Internet interactive module
Being connected with processing module, described processing module is connected with output module and memory module respectively, described output module respectively with deposit
Storage module, man-machine interaction input/output module and evaluation decision module connect, described evaluation decision module respectively with memory module
Connect with man-machine interaction input/output module.
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described man-machine interaction
Input/output module is for managing and process the access output of various equipment.
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described information retrieval
Module is for managing user and the content of fill message retrieval, including title, type and user's charge type etc. of retrieval information.
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described information sifting
Module is for screening user type, the information type of retrieval and the grade of retrieval information respectively.
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described the Internet is handed over
Module is for retrieving the search instruction that information sifting module respectively sends mutually, retrieves corresponding data entries.
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described memory module
Information content after storing user profile (subscriber data, user search history etc.), the retrieval of the Internet interactive module, user
Expenses standard etc..
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described processing module
For the information for the treatment of classification the Internet interactive module retrieval, according to setting, the information retrieved is carried out classification process, and according to
User is deducted fees by the expenses standard set.
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described output module
Information after retrieval and pay imformation issue are transferred to user and inform.
The intelligence system of a kind of big data cognitive Decision the most according to claim 1, it is characterised in that described evaluation decision
Module is used for management personnel's hierarchical management to user, the formulation of expenses standard, retrieval information classification approach setting etc..
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107357931A (en) * | 2017-07-29 | 2017-11-17 | 合肥千奴信息科技有限公司 | A kind of intelligence system of big data cognitive Decision |
| CN108038247A (en) * | 2017-12-28 | 2018-05-15 | 重庆柚瓣家科技有限公司 | From media formula robot |
| CN108960880A (en) * | 2017-05-23 | 2018-12-07 | 王四春 | A kind of cross-border electric business commercial affairs big data Analysis of Policy Making and data processing method |
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| CN105243069A (en) * | 2014-07-09 | 2016-01-13 | 南方科技大学 | Intelligent system for big data cognitive decision-making |
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| CN108960880A (en) * | 2017-05-23 | 2018-12-07 | 王四春 | A kind of cross-border electric business commercial affairs big data Analysis of Policy Making and data processing method |
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Application publication date: 20161214 |