CN108121817A - A kind of intelligent response method and system based on big data - Google Patents
A kind of intelligent response method and system based on big data Download PDFInfo
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- CN108121817A CN108121817A CN201711473005.6A CN201711473005A CN108121817A CN 108121817 A CN108121817 A CN 108121817A CN 201711473005 A CN201711473005 A CN 201711473005A CN 108121817 A CN108121817 A CN 108121817A
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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
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/3331—Query processing
- G06F16/334—Query execution
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- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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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
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L51/00—User-to-user messaging in packet-switching networks, transmitted according to store-and-forward or real-time protocols, e.g. e-mail
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Abstract
The present invention relates to a kind of intelligent response method and system based on big data, the described method includes：Receive the information that user is sent by instant communication software；Described information is imported into big data cloud computing system, the big data cloud computing system carries out big data cloud computing to described information；Information after calculating is retrieved, data analysis, obtain reply data, and judge whether the reply data meets response requirement；If it is not, the then reply data according to user is accustomed to feedback integration, and judge whether the reply data meets response requirement；If so, the reply data is sent to user, common Transit time flow meter channel can be so used, does not change user's custom；Complete user information and market information, convenient for identifying the preference of user；Lower labor cost is provided in traditional query processing and user service, realizes full-automatic operation；Cross-selling user in communication process starts to propose more requirements.
Description
Technical field
The present invention relates to big data technical fields, more particularly to a kind of intelligent response method based on big data and are
System.
Background technology
AI cognitions, which calculate, represents a kind of brand-new computing model, it includes information analysis, natural language processing and engineering
A large amount of technological innovations in habit field, can power-assisted policymaker outstanding insight is disclosed from a large amount of unstructured datas.He has
There is the learning ability of powerful understandability, the logic consideration ability of intelligence and self-promotion.One of its application is that substitution is simple
Customer service work, complete all commercial customer service work, guest can be allowed to be connected to system or system by different modes
Guest is actively connected, realization includes the multiple functions such as consulting, order follow-up, marketing, online sales.However it is linked up in response
In the process, peculiar language is susceptible to, the language content of corresponding machine learning does not filter, and still gives task and searches
Rope instrument.Answer expected from research tool acquisition.But the answering up to the present possessed is still fairly simple, sometimes
Raw food is shown slightly, what it gave people on the whole feels that this is also a comparison mechanical " instrument ".
The content of the invention
In order to overcome answering existing in the prior art still fairly simple, the mechanical deficiency of the comparison that operates, this
Invention provides a kind of intelligent response method and system based on big data.
The technical solution adopted by the present invention to solve the technical problems is：
A kind of intelligent response method based on big data, including：Receive the information that user is sent by instant communication software；It will
Described information imports big data cloud computing system, and the big data cloud computing system carries out big data cloud computing to described information；
Information after calculating is retrieved, data analysis, obtain reply data, and judge whether the reply data meets response and want
It asks；If it is not, the then reply data according to user is accustomed to feedback integration, and judge whether the reply data meets response and want
It asks；If so, the reply data is sent to user；The operational order of user is received, according to operational order execution pair
The action answered.
Preferably, the lower single instrction of client is received, the payment module of intelligent response system is called to send payment link to visitor
Family end；Or receive the inquiry instruction of client, the corresponding product of automatically retrieval.
Preferably, the step of being retrieved to the information after calculating, data analysis, obtaining reply data includes：By searching
Rope database root carries out the information after calculating learning records, engine according to customer demand, and retrieval obtains reply data.
Preferably, described information includes：Consultation information, order follow-up information, marketing information and online sales information
At least one of.
Preferably, the instant communication software includes：Any one in wechat, QQ, Taobao's customer service, microblogging.
A kind of intelligent response system based on big data, including：Information receiving module, information import modul, information retrieval
Analysis module, informix module and reply data sending module；Described information receiving module, for receive user pass through it is instant
The information that communication software is sent；Described information import modul, it is described for described information to be imported big data cloud computing system
Big data cloud computing system carries out big data cloud computing to described information；Described information retrieval analysis module, after to calculating
Information retrieved, data analysis, obtain reply data, and judge whether the reply data meets response requirement；It is described
Informix module, for if it is not, the then reply data according to user is accustomed to feedback integration, and judge that the reply data is
It is no to meet response requirement；The reply data sending module, for if so, the reply data is sent to user.
Preferably, described information retrieval analysis module, be additionally operable to by search for database root according to customer demand to calculating after
Information carry out learning records, engine, retrieval, obtain reply data.
Preferably, described information includes：Consultation information, order follow-up information, marketing information and online sales information
At least one of.
Preferably, the instant communication software includes：Any one in wechat, QQ, Taobao's customer service, microblogging.
The beneficial effects of the invention are as follows：The information that the present invention is sent by receiving user by instant communication software；By described in
Information imports big data cloud computing system, and the big data cloud computing system carries out big data cloud computing to described information；To meter
Information after calculation is retrieved, data analysis, obtains reply data, and judges whether the reply data meets response requirement；
If it is not, the then reply data according to user is accustomed to feedback integration, and judge whether the reply data meets response requirement；If
It is that the reply data is then sent to user, receives the operational order of user, is performed according to the operational order corresponding dynamic
Make.Common Transit time flow meter channel can be so used, does not change user's custom；Complete user information and market letter
Breath, convenient for identifying the preference of user；Lower labor cost is provided in traditional query processing and user service, is realized complete
Automation mechanized operation；Cross-selling user in communication process starts to propose more requirements.
Description of the drawings
The present invention is further described with reference to the accompanying drawings and examples.
Fig. 1 is the schematic flow chart of the intelligent response method based on big data of an embodiment.
Fig. 2 is the schematic diagram of the intelligent response method based on big data of an embodiment.
Specific embodiment
In conjunction with the accompanying drawings, the present invention is further explained in detail.These attached drawings are simplified schematic diagram, only with
Illustration illustrates the basic structure of the present invention, therefore it only shows composition related to the present invention.
Referring to Fig. 1, a kind of intelligent response method based on big data, including：
S11 receives the information that user is sent by instant communication software；
Described information is imported big data cloud computing system by S12, and the big data cloud computing system carries out described information to count greatly
According to cloud computing；
Specifically, step S12 includes：Learning records are carried out to the information after calculating according to customer demand by searching for database root,
Engine, retrieval, obtains reply data.It is fed back again with the pattern in thousand people, thousand face, learns, and record information.
S13 retrieves the information after calculating, data analysis, obtains reply data, and judges that the reply data is
It is no to meet response requirement；
S14, if it is not, the then reply data according to user is accustomed to feedback integration, and judge whether the reply data meets and answer
Answer requirement；If so, the reply data is sent to user
S15, if so, the reply data is sent to user.
S16 receives the operational order of user, and corresponding action is performed according to the operational order.Closer, step
S16 includes：The lower single instrction of client is received, the payment module of intelligent response system is called to send payment link to client；Or
Person receives the inquiry instruction of client, the corresponding product of automatically retrieval.Operated according to the action for sending out deaf from the background, and not only
It is to do simple response and popularization.
In the present embodiment, described information includes：Consultation information, order follow-up information, marketing information and online sales
At least one of information.The instant communication software includes：Any one in wechat, QQ, Taobao's customer service, microblogging.
In communication process, if client there are other things to need first to go to handle, it is accustomed to by customer language, is performed corresponding
Order, is in holding state.After client has handled thing, can contact status be replied with robot at any time, it
Preceding information can't lose.Robot can provide reference according to customer demand, by searching for database, learning records, engine, inspection
Rope comes out, some product favor informations can also be finally provided according to client interests see, for example robots such as related web pages in advance,
Such as commodity coupon, preferential Quick Response Code etc..
The information that this programme is sent by receiving user by instant communication software；Described information is imported into big data cloud
Computing system, the big data cloud computing system carry out big data cloud computing to described information；Information after calculating is examined
Rope, data analysis obtain reply data, and judge whether the reply data meets response requirement；If it is not, it is then practised according to user
Reply data described in used feedback integration, and judge whether the reply data meets response requirement；If so, by the answer number
According to user is sent to, common Transit time flow meter channel can be so used, does not change user's custom；Complete user information
And market information, convenient for identifying the preference of user；Traditional query processing and user service provide lower labour into
This, realizes full-automatic operation；Cross-selling user in communication process starts to propose more requirements.
Referring to Fig. 2, a kind of intelligent response system based on big data, including：Information receiving module 11, information import modul
12nd, information retrieval analysis module 13, informix module 14, reply data sending module 15 and with execution module 16；The letter
Receiving module 11 is ceased, for receiving the information that user is sent by instant communication software；Described information import modul 12, is used for
Described information is imported into big data cloud computing system, the big data cloud computing system carries out big data cloud meter to described information
It calculates；Described information retrieval analysis module 13 for being retrieved to the information after calculating, data analysis, obtains reply data, and
Judge whether the reply data meets response requirement；Described information integration module 14, for if it is not, being then accustomed to according to user anti-
The comprehensive reply data of feedback, and judge whether the reply data meets response requirement；The reply data sending module 15,
For if so, the reply data is sent to user.The execution module 16, for the execution module, for receiving
The operational order of user performs corresponding action according to the operational order.
In the present embodiment, the execution module 16 is additionally operable to receive the lower single instrction of client, calls intelligent response system
Payment module sends payment link to client；Or receive the inquiry instruction of client, the corresponding product of automatically retrieval.System meeting
Action according to sending out deaf from the background is operated, rather than just doing simple response and popularization.
In the present embodiment, described information retrieval analysis module 13 is additionally operable to by searching for database root according to customer demand pair
Information after calculating carries out learning records, engine, and retrieval obtains reply data.
In the present embodiment, described information includes：Consultation information, order follow-up information, marketing information and online sales
At least one of information.
In the present embodiment, the instant communication software includes：Any one in wechat, QQ, Taobao's customer service, microblogging.
The information that this programme is sent by information receiving module reception user by instant communication software；Information imports mould
Described information is imported big data cloud computing system by block, and the big data cloud computing system carries out big data cloud meter to described information
It calculates；Information retrieval analysis module retrieves the information after calculating, data analysis, obtains reply data, and judges described answer
Whether answer evidence meets response requirement；If it is not, informix module then according to user be accustomed to feedback integration described in reply data, and
Judge whether the reply data meets response requirement；If so, the reply data is then sent to by reply data sending module
User, the execution module receive the operational order of user, and corresponding action is performed according to the operational order.Can so it make
With common Transit time flow meter channel, user's custom is not changed；Complete user information and market information, convenient for identifying user
Preference；Lower labor cost is provided in traditional query processing and user service, realizes full-automatic operation；Logical
Cross-selling user during letter starts to propose more requirements.
Using above-mentioned desirable embodiment according to the invention as enlightenment, by above-mentioned description, relevant staff is complete
Various changes and amendments can be carried out without departing from the scope of the technological thought of the present invention' entirely.The technology of this invention
Property scope is not limited to the content on specification, it is necessary to determine its technical scope according to right.
Claims (10)
- A kind of 1. intelligent response method based on big data, which is characterized in that including：Receive the information that user is sent by instant communication software；Described information is imported into big data cloud computing system, the big data cloud computing system carries out big data cloud to described information It calculates；Information after calculating is retrieved, data analysis, obtain reply data, and judged whether the reply data meets and answer Answer requirement；If it is not, the then reply data according to user is accustomed to feedback integration, and judge whether the reply data meets response and want It asks；If so, the reply data is sent to user；The operational order of user is received, corresponding action is performed according to the operational order.
- 2. the intelligent response method according to claim 1 based on big data, which is characterized in that the operation for receiving user refers to Order includes according to the step of operational order execution corresponding action:The lower single instrction of client is received, the payment module of intelligent response system is called to send payment link to client；OrReceive the inquiry instruction of client, the corresponding product of automatically retrieval.
- 3. the intelligent response method according to claim 1 based on big data, which is characterized in that the information after calculating into Row retrieval, data analysis, the step of obtaining reply data, include：Learning records, engine are carried out to the information after calculating according to customer demand by searching for database root, retrieval obtains answer number According to.
- 4. the intelligent response method according to claim 1 based on big data, which is characterized in that described information includes：It consults Ask at least one of information, order follow-up information, marketing information and online sales information.
- 5. the intelligent response method according to claim 1 based on big data, which is characterized in that the instant communication software Including：Any one in wechat, QQ, Taobao's customer service, microblogging.
- 6. a kind of intelligent response system based on big data, which is characterized in that including：Information receiving module, information import modul, Information retrieval analysis module, informix module, reply data sending module and execution module；Described information receiving module, for receiving the information that user is sent by instant communication software；Described information import modul, for described information to be imported big data cloud computing system, the big data cloud computing system Big data cloud computing is carried out to described information；Described information retrieval analysis module for being retrieved to the information after calculating, data analysis, obtains reply data, and Judge whether the reply data meets response requirement；Described information integration module, for if it is not, the then reply data according to user is accustomed to feedback integration, and judge described answer Whether answer evidence meets response requirement；The reply data sending module, for if so, the reply data is sent to user；For receiving the operational order of user, corresponding action is performed according to the operational order for the execution module.
- 7. the intelligent response system according to claim 6 based on big data, which is characterized in that the execution module, also For receiving the lower single instrction of client, the payment module of intelligent response system is called to send payment link to client；Or it connects Receive the inquiry instruction of client, the corresponding product of automatically retrieval.
- 8. the intelligent response system according to claim 6 based on big data, which is characterized in that described information retrieval analysis Module is additionally operable to carry out the information after calculating learning records, engine according to customer demand by searching for database root, and retrieval obtains To reply data.
- 9. the intelligent response system according to claim 6 based on big data, which is characterized in that described information includes：It consults Ask at least one of information, order follow-up information, marketing information and online sales information.
- 10. the intelligent response system according to claim 6 based on big data, which is characterized in that the instant messaging is soft Part includes：Any one in wechat, QQ, Taobao's customer service, microblogging.
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| CN201711473005.6A CN108121817A (en) | 2017-12-29 | 2017-12-29 | A kind of intelligent response method and system based on big data |
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| CN201711473005.6A CN108121817A (en) | 2017-12-29 | 2017-12-29 | A kind of intelligent response method and system based on big data |
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104182879A (en) * | 2013-12-13 | 2014-12-03 | 赵鑫 | An e-commerce and logistics integrated system |
| US20150143402A1 (en) * | 2013-11-19 | 2015-05-21 | Samsung Electronics Co., Ltd. | Method for sharing broadcast channel information and electronic device thereof |
| CN105068460A (en) * | 2015-07-30 | 2015-11-18 | 北京智网时代科技有限公司 | Intelligent control system |
| CN105488164A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Question and answer (QA) data processing method and device, intelligent robot |
| CN106529773A (en) * | 2016-10-31 | 2017-03-22 | 宜人恒业科技发展（北京）有限公司 | Online credit and fraud risk evaluation method based on identifying code type question answering |
| CN107277119A (en) * | 2017-05-27 | 2017-10-20 | 林虹 | A kind of system and method for realizing network question and answer |
| CN107480766A (en) * | 2017-07-18 | 2017-12-15 | 北京光年无限科技有限公司 | The method and system of the content generation of multi-modal virtual robot |
| CN107493353A (en) * | 2017-10-11 | 2017-12-19 | 宁波感微知著机器人科技有限公司 | A kind of intelligent robot cloud computing method based on contextual information |
-
2017
- 2017-12-29 CN CN201711473005.6A patent/CN108121817A/en active Pending
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20150143402A1 (en) * | 2013-11-19 | 2015-05-21 | Samsung Electronics Co., Ltd. | Method for sharing broadcast channel information and electronic device thereof |
| CN104182879A (en) * | 2013-12-13 | 2014-12-03 | 赵鑫 | An e-commerce and logistics integrated system |
| CN105068460A (en) * | 2015-07-30 | 2015-11-18 | 北京智网时代科技有限公司 | Intelligent control system |
| CN105488164A (en) * | 2015-11-30 | 2016-04-13 | 北京光年无限科技有限公司 | Question and answer (QA) data processing method and device, intelligent robot |
| CN106529773A (en) * | 2016-10-31 | 2017-03-22 | 宜人恒业科技发展（北京）有限公司 | Online credit and fraud risk evaluation method based on identifying code type question answering |
| CN107277119A (en) * | 2017-05-27 | 2017-10-20 | 林虹 | A kind of system and method for realizing network question and answer |
| CN107480766A (en) * | 2017-07-18 | 2017-12-15 | 北京光年无限科技有限公司 | The method and system of the content generation of multi-modal virtual robot |
| CN107493353A (en) * | 2017-10-11 | 2017-12-19 | 宁波感微知著机器人科技有限公司 | A kind of intelligent robot cloud computing method based on contextual information |
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