CN107688950A - Household electrical appliances consultation method, electronic equipment and computer-readable recording medium after sale - Google Patents
Household electrical appliances consultation method, electronic equipment and computer-readable recording medium after sale Download PDFInfo
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- CN107688950A CN107688950A CN201710778924.8A CN201710778924A CN107688950A CN 107688950 A CN107688950 A CN 107688950A CN 201710778924 A CN201710778924 A CN 201710778924A CN 107688950 A CN107688950 A CN 107688950A
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- G06Q30/00—Commerce
- G06Q30/01—Customer relationship services
- G06Q30/015—Providing customer assistance, e.g. assisting a customer within a business location or via helpdesk
- G06Q30/016—After-sales
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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
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- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
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Abstract
The invention discloses a kind of household electrical appliances consultation method after sale, comprise the following steps：Obtain the input information of user；The input information of the user is converted into the input parameter seeked advice from after sale, default search engine is enabled and matches search result corresponding with the input parameter from default household electrical appliances knowledge base after sale；Answer data is seeked advice from after sale according to search result generation, the answer data is sent to the client of the user side.The invention also discloses a kind of electronic equipment and computer-readable recording medium.The present invention is converted to the input parameter seeked advice from after sale by obtaining input information according to input information, start search engine and match search result corresponding with the input parameter from default household electrical appliances knowledge base after sale, answer data is seeked advice from after sale according to search result generation, complete to seek advice from after sale without manually, improve the intelligence degree seeked advice from after sale, and by way of Auto-matching, improve the efficiency seeked advice from after sale and the degree of accuracy.
Description
Technical field
The present invention relates to technical field of data processing, more particularly to household electrical appliances consultation method, electronic equipment and computer after sale
Readable storage medium storing program for executing.
Background technology
At present, household electrical appliances are seeked advice from after sale, are mostly artificial customer service in real time or semireal time is realized with customer communication, this
The shortcomings that mode is：
Human cost is big；
Customer service quality of answering a question is difficult to control；
When consulting amount is big, customer service can not accomplish the real-time replied, and cause bad experience.
Certainly, also have by modes such as webpage or telephonographs to answer what is seeked advice from after sale, but this mode needs visitor
Family looks for the answer of consulting according to given path, will also result in bad experience, and, it is also difficult to effectively cover client's
Real demand.
To sum up, current household electrical appliances seek advice from intelligence degree after sale low, inefficient and poor accuracy.
And take other text classifications of general mode classification to field of household appliances cause poor classifying quality, poor accuracy and
Inefficient.
The above is only used for auxiliary and understands technical scheme, does not represent and recognizes that the above is existing skill
Art.
The content of the invention
It is a primary object of the present invention to provide a kind of household electrical appliances consultation method, electronic equipment and computer-readable storage after sale
Medium, it is intended to which solving current household electrical appliances, to seek advice from intelligence degree after sale low, the problem of inefficient and poor accuracy.
To achieve the above object, a kind of household electrical appliances provided by the invention consultation method after sale, comprises the following steps：
Obtain the input information of user；
The input information of the user is converted into the input parameter seeked advice from after sale, enables default search engine from default
Household electrical appliances knowledge base after sale match search result corresponding with the input parameter；
Answer data is seeked advice from after sale according to search result generation, the answer data is sent to the user side
Client.
Preferably, described the step of seeking advice from answer data after sale according to search result generation, includes：
When the search result includes a plurality of, the matching degree of every search result is obtained；
Answer data is seeked advice from after sale according to the generation of matching degree highest search result.
Preferably, after described the step of seeking advice from answer data after sale according to the generation of matching degree highest search result, also
Including：
Search result of the matching degree sequence more than preset order is determined from except matching degree highest search result；
Answer data is seeked advice from after sale according to the generation of the search result of determination, controlled according to the generation of the search result of determination after sale
Consulting answer data is shown in a manner of bubble or suspended window in user side client end interface.
Preferably, before the described the step of input information of the user is converted into the input parameter seeked advice from after sale, also
Including：
Sorting parameter is extracted from the input information；
Judge whether the input information is that consulting inputs information after sale according to the sorting parameter；
When the input information is seeks advice from after sale input information, perform and be converted into the input information of the user after sale
The step of input parameter of consulting.
Preferably, it is described that the input information of the user is converted into the input parameter seeked advice from after sale, enable default search
Index, which holds up the step of matching search result corresponding with the input parameter from default household electrical appliances knowledge base after sale, to be included：
Obtain the user side and the corresponding factor of influence of the consulting after sale；
According to the factor of influence to the input parameter amendment, default search engine is enabled from default household electrical appliances after sale
Knowledge base matches search result corresponding with revised input parameter.
Preferably, the described the step of input information of the user is converted into the input parameter seeked advice from after sale, includes：
The information inputted according to default mechanism for correcting errors to the user carries out correction process；
Input information after the correction process is converted into the input parameter seeked advice from after sale.
Preferably, it is described according to the search result generation seek advice from answer data after sale, by the answer data send to
After the step of client of the user side, in addition to：
Receive the feedback data sent based on the answer data of consulting after sale that user sends；
When the feedback data is comprising data are denied, the input parameter is modified according to the feedback data；
Enable default search engine from default household electrical appliances knowledge base after sale match with change after input parameter it is corresponding
Search result.
Preferably, methods described also includes：
When the input information is the input information outside text message, the input information is converted into text envelope
Breath.
In addition, to achieve the above object, the present invention also provides a kind of electronic equipment, and the electronic equipment includes：Memory,
Processor and the household electrical appliances advisory procedure after sale that is stored on the memory and can run on the processor, the household electrical appliances are sold
Afterwards advisory procedure by the computing device when realize household electrical appliances as described above consultation method after sale.
In addition, to achieve the above object, the present invention also provides a kind of computer-readable recording medium, described computer-readable
Household electrical appliances advisory procedure after sale is stored with storage medium, as above institute is realized when household electrical appliances advisory procedure after sale is executed by processor
The household electrical appliances stated consultation method after sale.
The present invention is converted to the input parameter seeked advice from after sale by obtaining input information according to input information, starts search and draws
Hold up from default household electrical appliances knowledge base after sale and match search result corresponding with the input parameter, sold according to search result generation
After seek advice from answer data, complete to seek advice from after sale without artificial, improve the intelligence degree seeked advice from after sale, and pass through Auto-matching
Mode, improve the efficiency seeked advice from after sale and the degree of accuracy.
Brief description of the drawings
Fig. 1 is the electronic devices structure schematic diagram for the hardware running environment that one embodiment of the invention scheme is related to；
Fig. 2 is the schematic flow sheet of the first embodiment of household electrical appliances of the present invention consultation method after sale；
Fig. 3 is that the flow for seeking advice from answer data described in one embodiment of the invention after sale according to search result generation is shown
It is intended to；
Fig. 4 is the schematic flow sheet of the second embodiment of household electrical appliances of the present invention consultation method after sale；
Fig. 5 is the schematic flow sheet of the 3rd embodiment of household electrical appliances of the present invention consultation method after sale；
Fig. 6 is to join the input that the input information of the user is converted into seeking advice from after sale described in one embodiment of the invention
Number, enables the schematic flow sheet that default search engine matches search result corresponding with the input parameter；
Fig. 7 is the schematic flow sheet of the fourth embodiment of household electrical appliances of the present invention consultation method after sale.
The realization, functional characteristics and advantage of the object of the invention will be described further referring to the drawings in conjunction with the embodiments.
Embodiment
It should be appreciated that the specific embodiments described herein are merely illustrative of the present invention, it is not intended to limit the present invention.
The primary solutions of the embodiment of the present invention are：Obtain the input information of user；By the input information of the user
Be converted into the input parameter seeked advice from after sale, enable default search engine from default household electrical appliances knowledge base after sale match with it is described
Search result corresponding to input parameter；Answer data is seeked advice from after sale according to search result generation, the answer data is sent out
Deliver to the client of the user side.
Due to current household electrical appliances, to seek advice from intelligence degree after sale low, the problem of inefficient and poor accuracy.The present invention carries
For a solution, the input parameter seeked advice from after sale is converted to according to input information by obtaining input information, starts search
Engine matches search result corresponding with the input parameter from default household electrical appliances knowledge base after sale, is generated according to search result
Answer data is seeked advice from after sale, completes to seek advice from after sale without artificial, improves the intelligence degree seeked advice from after sale, and pass through automatic
The mode matched somebody with somebody, improve the efficiency seeked advice from after sale and the degree of accuracy.
As shown in figure 1, Fig. 1 is the electronic devices structure signal for the hardware running environment that scheme of the embodiment of the present invention is related to
Figure.
Electronic equipment of the embodiment of the present invention can be the acceptable control such as air conditioner, fan or refrigerator equipment or
The control devices such as PC, smart mobile phone, tablet personal computer or pocket computer, the either equipment such as server or home gateway.
As shown in figure 1, the electronic equipment can include：Processor 1001, such as CPU, network interface 1004, user interface
1003, memory 1005, communication bus 1002.Wherein, communication bus 1002 is used to realize the connection communication between these components.
User interface 1003 can include display screen (Display), input block such as keyboard (Keyboard), optional user interface
1003 can also include wireline interface, the wave point of standard.Network interface 1004 can optionally connect including the wired of standard
Mouth, wave point (such as WI-FI interfaces).Memory 1005 can be high-speed RAM memory or stable memory
(non-volatile memory), such as magnetic disk storage.Memory 1005 optionally can also be independently of aforementioned processor
1001 storage device.
Alternatively, electronic equipment can also include camera, RF (Radio Frequency, radio frequency) circuit, sensor,
Voicefrequency circuit, WiFi module, air speed measuring apparatus etc..Wherein, sensor ratio such as imaging sensor, infrared sensor and other
Sensor.Specifically, imaging sensor or infrared sensor can detect position of the user in air conditioner action space, pass through position
Put to control air conditioner chamber's inner blower rotating speed.The air speed measuring apparatus is used for measuring the wind speed of user position, diverse location
Wind speed have differences.And it be can detect as one kind of motion sensor, gravity accelerometer in all directions (generally
Three axles) acceleration size, size and the direction of gravity are can detect that when static, available for identification electronic equipment posture application
(such as horizontal/vertical screen switching, dependent game, magnetometer pose calibrating), Vibration identification correlation function (such as pedometer, percussion) etc.；
Certainly, electronic equipment can also configure gyroscope, barometer, hygrometer, thermometer, temperature sensor, Dorothy Holman sensor etc. its
His sensor, will not be repeated here.
It will be understood by those skilled in the art that the terminal structure shown in Fig. 1 does not form the restriction to electronic equipment, can
With including than illustrating more or less parts, either combining some parts or different parts arrangement.
As shown in figure 1, it can lead to as in a kind of memory 1005 of computer-readable storage medium including operating system, network
Letter module, Subscriber Interface Module SIM and household electrical appliances seek advice from after sale application program.
In the terminal shown in Fig. 1, network interface 1004 is mainly used in connecting background server, is carried out with background server
Data communicate；User interface 1003 is mainly used in connecting client (user terminal), enters row data communication with client；And processor
1001 can be used for calling the household electrical appliances stored in memory 1005 to seek advice from application program after sale, and perform following operate：
Obtain the input information of user；
The input information of the user is converted into the input parameter seeked advice from after sale, enables default search engine from default
Household electrical appliances knowledge base after sale match search result corresponding with the input parameter；
Answer data is seeked advice from after sale according to search result generation, the answer data is sent to the user side
Client.
Further, processor 1001 can be used for calling the household electrical appliances stored in memory 1005 to seek advice from after sale using journey
Sequence, and perform following operate：
When the search result includes a plurality of, the matching degree of every search result is obtained；
Answer data is seeked advice from after sale according to the generation of matching degree highest search result.
Further, after described the step of seeking advice from answer data after sale according to the generation of matching degree highest search result,
Processor 1001 can be used for calling the household electrical appliances stored in memory 1005 to seek advice from application program after sale, and perform following operate：
Search result of the matching degree sequence more than preset order is determined from except matching degree highest search result；
Answer data is seeked advice from after sale according to the generation of the search result of determination, controlled according to the generation of the search result of determination after sale
Consulting answer data is shown in a manner of bubble or suspended window in user side client end interface.
Further, before the described the step of input information of the user is converted into the input parameter seeked advice from after sale,
Processor 1001 can be used for calling the household electrical appliances stored in memory 1005 to seek advice from application program after sale, and perform following operate：
Sorting parameter is extracted from the input information；
Judge whether the input information is that consulting inputs information after sale according to the sorting parameter；
When the input information is seeks advice from after sale input information, perform and be converted into the input information of the user after sale
The step of input parameter of consulting.
Further, processor 1001 can be used for calling the household electrical appliances stored in memory 1005 to seek advice from after sale using journey
Sequence, and perform following operate：
Obtain the user side and the corresponding factor of influence of the consulting after sale；
According to the factor of influence to the input parameter amendment, default search engine is enabled from default household electrical appliances after sale
Knowledge base matches search result corresponding with revised input parameter.
Further, processor 1001 can be used for calling the household electrical appliances stored in memory 1005 to seek advice from after sale using journey
Sequence, and perform following operate：
The information inputted according to default mechanism for correcting errors to the user carries out correction process；
Input information after the correction process is converted into the input parameter seeked advice from after sale.
Further, it is described that answer data is seeked advice from after sale according to search result generation, the answer data is sent
To the user side client the step of after, processor 1001 can be used for calling the household electrical appliances that store in memory 1005 to sell
After seek advice from application program, and perform following operate：
Receive the feedback data sent based on the answer data of consulting after sale that user sends；
When the feedback data is comprising data are denied, the input parameter is modified according to the feedback data；
Enable default search engine from default household electrical appliances knowledge base after sale match with change after input parameter it is corresponding
Search result.
Further, processor 1001 can be used for calling the household electrical appliances stored in memory 1005 to seek advice from after sale using journey
Sequence, and perform following operate：
When the input information is the input information outside text message, the input information is converted into text envelope
Breath.
Reference picture 2, the first embodiment of the present invention provide a kind of household electrical appliances consultation method after sale, household electrical appliances issuer after sale
Method includes：
Step S10, obtain the input information of user；
In the present embodiment, there is provided APP clients are seeked advice from after sale or the offer after-sale service of browser operation interface is provided,
Either after-sale service is provided by phone or short message or provide after-sale service by public number.After-sale service is needed in user
When, open after-sale service, through the above way in any one input required for information after sale, the information after sale inputted
Information is referred to as inputted, the input information can be the forms such as voice, word, picture or video.Obtain the input letter of user
Breath, the input information include seeking advice from required information after sale.
When it is text formatting to input information, will directly enter information as used in subsequent step；It is it in input information
During his form (outside text formatting), it (is the input letter outside text message in the input information to be converted to text formatting
During breath, the input information is converted into text message.), subsequent step is transferred to again after format transformation.
In an embodiment of the present invention, the input information can be inputted by modes such as phone or short messages (remote
Journey or short range are phone or short message or by way of other do not need input frame input), and be not merely to pass through inputting interface
The information of the input.
Step S20, the input information of the user is converted into the input parameter seeked advice from after sale, enables default search and draw
Hold up and match search result corresponding with the input parameter；
Pre-set knowledge base, the knowledge that the knowledge base is collected, stored, management home appliance is related after sale, for example, event
The information such as barrier the reason for occurring, solution, the problem after sale that easily occurs.
After the input information of user is got, the input that the input information of the user is converted into seeking advice from after sale is joined
Number, i.e. knowledge base has the text message form of setting, the form that the input information of user is converted into meeting knowledge base, enables
Default search engine matches search result corresponding with the input parameter, and search engine divides the data of knowledge base
Class indexes, and establishes index file, search engine matches search result according to input parameter.
In order to improve the degree of accuracy seeked advice from after sale, in an embodiment of the present invention, input ginseng is being converted to from input information
Before number, input information is handled, removes interference, the process handled input information is：Input information is carried out
Pretreatment, Feature Words are extracted, input information is segmented, stop words is removed to the input information after participle.The process of processing
Go hot-tempered process for one, discharge interference, be that subsequent classification identification is more accurate, and the process handled can by it is existing these
Pretreatment, extraction Feature Words, participle and taking-up stop words realize that this is no longer going to repeat them.
In an embodiment of the present invention, in order to improve the accuracy of search, the input information of the user is converted into selling
The input parameter seeked advice from afterwards includes：The information inputted according to default mechanism for correcting errors to the user carries out correction process；By institute
State the input information after correction process and be converted into the input parameter seeked advice from after sale.Information is inputted according to pre-set dictionary storehouse to be entangled
Mistake, the obvious error message for not meeting dictionary library is found out, is excluded, be converted into according to the input information after discharge error message
The input parameter seeked advice from after sale.
Step S30, answer data is seeked advice from after sale according to search result generation, the answer data is sent to described
The client of user side.
After search result is searched by search engine, answer data is assembled into according to the search result.
In an embodiment of the present invention, it is described according to the search result with reference to figure 3 when a plurality of search result be present
Generating the step of seeking advice from answer data after sale includes：
Step S31, when the search result includes a plurality of, obtain the matching degree of every search result；
Step S32, answer data is seeked advice from after sale according to the generation of matching degree highest search result.It is a plurality of in search result
When, it is ranked up according to the difference of matching degree, answer data is seeked advice from after sale in the search result generation for finding highest matching degree.It is described
The variable that matching degree selects according to user is calculated, and the variable includes Keywords matching, type of service matching etc..And
During in the presence of a search result, answer data is directly seeked advice from after sale according to search result generation.Answer number is seeked advice from after sale in generation
According to rear, the answer data is sent to the client of the user side, i.e. send to user, so that user knows this time to sell
After seek advice from result.The way of output can be voice, word, image, video, picture and text or web page interlinkage etc., or pass through public affairs
The mode of many numbers exports.
The present embodiment is converted to the input parameter seeked advice from after sale by obtaining input information according to input information, starts search
Engine matches search result corresponding with the input parameter from default household electrical appliances knowledge base after sale, is generated according to search result
Answer data is seeked advice from after sale, completes to seek advice from after sale without artificial, improves the intelligence degree seeked advice from after sale, and pass through automatic
The mode matched somebody with somebody, improve the efficiency seeked advice from after sale and the degree of accuracy.
In an embodiment of the present invention, it is described to be answered according to matching degree highest search result generation consulting after sale with reference to figure 4
After the step of case data, in addition to：
Step S33, search knot of the matching degree sequence more than preset order is determined from except matching degree highest search result
Fruit；
Step S34, answer data is seeked advice from after sale according to the generation of the search result of determination, controls the search result according to determination
Generation consulting answer data after sale is shown in a manner of bubble or suspended window in user side client end interface.
In this example, a plurality of search result be can search for out according to search engine input parameter, from except matching degree highest
In search result determine matching degree sequence more than preset order search result, the preset order for higher than preceding 3 order or
The order etc. of person higher than preceding 5, is set according to demand, or according to the setting of the bar number of search result, for example, 5-10 bars, for higher than
Preceding 3 order；10-20 bars, for the order higher than preceding 5；More than 20, for the order higher than preceding 8, also include other orders certainly
Setting, no longer illustrate one by one herein.Answer data is seeked advice from after sale according to the generation of the search result of determination, controlled according to determination
Search result generation consulting answer data after sale is shown in a manner of bubble or suspended window in user side client end interface, in public affairs
The interface of crowd interface either APP either web page interlinkages shows that sequence is more than preset order in a manner of bubble or suspended window
Search result corresponding to seek advice from answer data after sale.The bubble or suspended window do not interfere with the operation of current interface.It is logical
Cross aforesaid way, there is provided more seek advice from answer data after sale and referred to user so that the data of reference are more more convenient.
In an embodiment of the present invention, with reference to figure 5, it is described the input information of the user is converted into seeking advice from after sale it is defeated
Before the step of entering parameter, in addition to：
Step S40, sorting parameter is extracted from the input information；
Step S50, judge whether the input information is that consulting inputs information after sale according to the sorting parameter；
Step S60, when the input information is seeks advice from after sale input information, perform and turn the input information of the user
The step of changing the input parameter seeked advice from after sale into.
System also sets up grader, by way of grader study, establishes statistical model, and input information is converted to point
The input parameter of class device, according to default statistical model and algorithm, the intent classifier data of user are calculated, according to grouped data
Judge, if belonging to consulting input information after sale, perform and join the input that the input information of the user is converted into seeking advice from after sale
Several steps.If it is not, other operations are then transferred to, rather than the subsequent operation seeked advice from after sale.For example, being control operation, then control
The operation of respective electric home processed.By classification, maloperation is prevented so that consulting operation after sale is more accurate, effectively.
In an embodiment of the present invention, with reference to figure 6, it is described the input information of the user is converted into seeking advice from after sale it is defeated
Enter parameter, enable default search engine and match search corresponding with the input parameter from default household electrical appliances knowledge base after sale
As a result the step of, includes：
Step S21, obtain the user side and the corresponding factor of influence of the consulting after sale；
Step S22, according to the factor of influence to the input parameter amendment, default search engine is enabled from default
Household electrical appliances knowledge base after sale matches search result corresponding with revised input parameter.
Because of user side varying environment, or the working order of the corresponding home appliance seeked advice from after sale is different, required consulting
Household electrical appliances information after sale it is different, therefore, obtain the user side and the corresponding factor of influence of the consulting after sale, the influence because
Son, it is to seek advice from running status or operation information of home appliance etc. after sale, or environmental information where user side etc..Root
According to the factor of influence to the input parameter amendment, enable default search engine and matched from default household electrical appliances knowledge base after sale
Go out search result corresponding with revised input parameter.The correction value of the amendment obtains according to the value of factor of influence, in advance
The value of factor of influence and the corresponding relation of correction value are set, amendment corresponding with factor of influence is subsequently obtained according to corresponding relation
Value, to input parameter amendment.Input parameter is modified by the factor of user side, it is more accurate that raising is seeked advice from after sale.
It is in an embodiment of the present invention, described that answer data is seeked advice from after sale according to search result generation with reference to figure 7,
The answer data was sent the step of client of the user side, in addition to：
Step S70, receive the feedback data sent based on the answer data of consulting after sale that user sends；
Step S80, when the feedback data is comprising data are denied, the input parameter is entered according to the feedback data
Row change；
Step S90, enable default search engine and matched and the input after change from default household electrical appliances knowledge base after sale
Search result corresponding to parameter.
In the present embodiment, after the output of consultation information after sale, for example, the answer data is sent to the user side
Client.User is received for the feedback seeked advice from after sale, if feedback is correct, continues to input information, is represented to use
Required consultation information is after sale fed back in family；If be fed back to mistake, i.e. during comprising denying information, according to the feedback data
The input parameter is modified；Default search engine is enabled after default household electrical appliances knowledge base after sale is matched and changed
Input parameter corresponding to search result.The input parameter extracted from user feedback data for search engine is repaiied
Just, to search out correct, accurate search result, and then obtain correctly seeking advice from answer data after sale.By being anticipated according to user
It is willing to the input parameter of constantly amendment search engine, improves the degree of accuracy seeked advice from after sale.
The present invention also provides a kind of electronic equipment, and the electronic equipment includes：Memory, processor and it is stored in described deposit
On reservoir and the household electrical appliances advisory procedure after sale that can run on the processor, household electrical appliances advisory procedure after sale is by the processing
The household electrical appliances consultation method after sale as described in above-mentioned embodiment is realized when device performs.
The input parameter seeked advice from after sale is converted to according to input information by obtaining input information in the present embodiment, startup is searched
Index, which is held up from default household electrical appliances knowledge base after sale, matches search result corresponding with the input parameter, is given birth to according to search result
Into answer data is seeked advice from after sale, complete to seek advice from after sale without artificial, improve the intelligence degree seeked advice from after sale, and by automatic
The mode of matching, improve the efficiency seeked advice from after sale and the degree of accuracy.
In addition, the embodiment of the present invention also proposes a kind of computer-readable recording medium, the computer-readable recording medium
On be stored with household electrical appliances advisory procedure after sale, household electrical appliances advisory procedure after sale is realized following operation during the computing device：
Obtain the input information of user；
The input information of the user is converted into the input parameter seeked advice from after sale, enables default search engine from default
Household electrical appliances knowledge base after sale match search result corresponding with the input parameter；
Answer data is seeked advice from after sale according to search result generation, the answer data is sent to the user side
Client.
Further, household electrical appliances advisory procedure after sale is realized following operation during the computing device：
When the search result includes a plurality of, the matching degree of every search result is obtained；
Answer data is seeked advice from after sale according to the generation of matching degree highest search result.
Further, after described the step of seeking advice from answer data after sale according to the generation of matching degree highest search result,
Household electrical appliances advisory procedure after sale is realized following operation during the computing device：
Search result of the matching degree sequence more than preset order is determined from except matching degree highest search result；
Answer data is seeked advice from after sale according to the generation of the search result of determination, controlled according to the generation of the search result of determination after sale
Consulting answer data is shown in a manner of bubble or suspended window in user side client end interface.
Further, before the described the step of input information of the user is converted into the input parameter seeked advice from after sale,
Household electrical appliances advisory procedure after sale is realized following operation during the computing device：
Sorting parameter is extracted from the input information；
Judge whether the input information is that consulting inputs information after sale according to the sorting parameter；
When the input information is seeks advice from after sale input information, perform and be converted into the input information of the user after sale
The step of input parameter of consulting.
Further, household electrical appliances advisory procedure after sale is realized following operation during the computing device：
Obtain the user side and the corresponding factor of influence of the consulting after sale；
According to the factor of influence to the input parameter amendment, default search engine is enabled from default household electrical appliances after sale
Knowledge base matches search result corresponding with revised input parameter.
Further, household electrical appliances advisory procedure after sale is realized following operation during the computing device：
The information inputted according to default mechanism for correcting errors to the user carries out correction process；
Input information after the correction process is converted into the input parameter seeked advice from after sale.
Further, it is described that answer data is seeked advice from after sale according to search result generation, the answer data is sent
To the user side client the step of after, household electrical appliances advisory procedure after sale by during the computing device realize it is as follows
Operation：
Receive the feedback data sent based on the answer data of consulting after sale that user sends；
When the feedback data is comprising data are denied, the input parameter is modified according to the feedback data；
Enable default search engine from default household electrical appliances knowledge base after sale match with change after input parameter it is corresponding
Search result.
Further, household electrical appliances advisory procedure after sale is realized following operation during the computing device：
When the input information is the input information outside text message, the input information is converted into text envelope
Breath.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row
His property includes, so that process, method, article or system including a series of elements not only include those key elements, and
And also include the other element being not expressly set out, or also include for this process, method, article or system institute inherently
Key element.In the absence of more restrictions, the key element limited by sentence "including a ...", it is not excluded that including this
Other identical element also be present in the process of key element, method, article or system.
The embodiments of the present invention are for illustration only, do not represent the quality of embodiment.
Through the above description of the embodiments, those skilled in the art can be understood that above-described embodiment side
Method can add the mode of required general hardware platform to realize by software, naturally it is also possible to by hardware, but in many cases
The former is more preferably embodiment.Based on such understanding, technical scheme is substantially done to prior art in other words
Going out the part of contribution can be embodied in the form of software product, and the computer software product is stored in one as described above
In storage medium (such as ROM/RAM, magnetic disc, CD), including some instructions to cause a station terminal equipment (can be mobile phone,
Computer, server, air conditioner, or network equipment etc.) perform method described in each embodiment of the present invention.
The preferred embodiments of the present invention are these are only, are not intended to limit the scope of the invention, it is every to utilize this hair
The equivalent structure or equivalent flow conversion that bright specification and accompanying drawing content are made, or directly or indirectly it is used in other related skills
Art field, is included within the scope of the present invention.
Claims (10)
1. a kind of household electrical appliances consultation method after sale, it is characterised in that comprise the following steps：
Obtain the input information of user；
The input information of the user is converted into the input parameter seeked advice from after sale, enables default search engine from default family
Electric knowledge base after sale matches search result corresponding with the input parameter；
Answer data is seeked advice from after sale according to search result generation, the answer data is sent to the client of the user side
End.
2. household electrical appliances as claimed in claim 1 consultation method after sale, it is characterised in that described to be sold according to search result generation
The step of seeking advice from answer data afterwards includes：
When the search result includes a plurality of, the matching degree of every search result is obtained；
Answer data is seeked advice from after sale according to the generation of matching degree highest search result.
3. household electrical appliances as claimed in claim 2 consultation method after sale, it is characterised in that described searched for according to matching degree highest is tied
After the step of answer data, is seeked advice from after sale in fruit generation, in addition to：
Search result of the matching degree sequence more than preset order is determined from except matching degree highest search result；
Answer data is seeked advice from after sale according to the generation of the search result of determination, controls and is seeked advice from after sale according to the generation of the search result of determination
Answer data is shown in a manner of bubble or suspended window in user side client end interface.
4. household electrical appliances as claimed in claim 1 consultation method after sale, it is characterised in that described to turn the input information of the user
Before the step of changing the input parameter seeked advice from after sale into, in addition to：
Sorting parameter is extracted from the input information；
Judge whether the input information is that consulting inputs information after sale according to the sorting parameter；
When the input information is seeks advice from after sale input information, perform and be converted into seeking advice from after sale by the input information of the user
Input parameter the step of.
5. household electrical appliances as claimed in claim 1 consultation method after sale, it is characterised in that described to turn the input information of the user
Change the input parameter seeked advice from after sale into, enable default search engine from default household electrical appliances knowledge base after sale match with it is described defeated
The step of entering search result corresponding to parameter includes：
Obtain the user side and the corresponding factor of influence of the consulting after sale；
According to the factor of influence to the input parameter amendment, default search engine is enabled from default household electrical appliances knowledge after sale
Storehouse matches search result corresponding with revised input parameter.
6. household electrical appliances as claimed in claim 1 consultation method after sale, it is characterised in that described to turn the input information of the user
The step of changing the input parameter seeked advice from after sale into includes：
The information inputted according to default mechanism for correcting errors to the user carries out correction process；
Input information after the correction process is converted into the input parameter seeked advice from after sale.
7. the household electrical appliances consultation method after sale as described in any one of claim 1 to 6, it is characterised in that described according to the search
As a result generate and seek advice from answer data after sale, the answer data was sent the step of client of the user side, also
Including：
Receive the feedback data sent based on the answer data of consulting after sale that user sends；
When the feedback data is comprising data are denied, the input parameter is modified according to the feedback data；
Enable default search engine and match search corresponding with the input parameter after change from default household electrical appliances knowledge base after sale
Hitch fruit.
8. the household electrical appliances consultation method after sale as described in any one of claim 1 to 6, it is characterised in that methods described also includes：
When the input information is the input information outside text message, the input information is converted into text message.
9. a kind of electronic equipment, it is characterised in that the electronic equipment includes：Memory, processor and it is stored in the storage
On device and the household electrical appliances advisory procedure after sale that can run on the processor, household electrical appliances advisory procedure after sale is by the processor
The household electrical appliances consultation method after sale as any one of claim 1 to 8 is realized during execution.
10. a kind of computer-readable recording medium, it is characterised in that be stored with household electrical appliances on the computer-readable recording medium and sell
Advisory procedure afterwards, realized when household electrical appliances advisory procedure after sale is executed by processor as any one of claim 1 to 8
Household electrical appliances consultation method after sale.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710778924.8A CN107688950B (en) | 2017-08-31 | 2017-08-31 | After-sale consultation method for household appliances, electronic equipment and computer readable storage medium |
| PCT/CN2018/084790 WO2019041851A1 (en) | 2017-08-31 | 2018-04-27 | Home appliance after-sales consulting method, electronic device and computer-readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710778924.8A CN107688950B (en) | 2017-08-31 | 2017-08-31 | After-sale consultation method for household appliances, electronic equipment and computer readable storage medium |
Publications (2)
| Publication Number | Publication Date |
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| CN107688950A true CN107688950A (en) | 2018-02-13 |
| CN107688950B CN107688950B (en) | 2022-03-11 |
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| CN201710778924.8A Active CN107688950B (en) | 2017-08-31 | 2017-08-31 | After-sale consultation method for household appliances, electronic equipment and computer readable storage medium |
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| CN (1) | CN107688950B (en) |
| WO (1) | WO2019041851A1 (en) |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019041851A1 (en) * | 2017-08-31 | 2019-03-07 | 广东美的制冷设备有限公司 | Home appliance after-sales consulting method, electronic device and computer-readable storage medium |
| CN110046903A (en) * | 2019-01-15 | 2019-07-23 | 阿里巴巴集团控股有限公司 | Data processing method, system, server and readable storage medium storing program for executing |
| CN110322093A (en) * | 2018-03-30 | 2019-10-11 | 阿里巴巴集团控股有限公司 | Information processing method, information display method, device and calculating equipment |
| CN111105319A (en) * | 2019-09-16 | 2020-05-05 | 安徽农网农业科技有限公司 | Agricultural product sale management system |
| CN111787007A (en) * | 2020-06-30 | 2020-10-16 | 北京天融信网络安全技术有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111210239B (en) * | 2020-01-13 | 2023-08-22 | 杭州沃朴物联科技有限公司 | After-sales information processing method, equipment and medium |
| CN112819489A (en) * | 2021-03-26 | 2021-05-18 | 无锡市乐智优电子商务有限公司 | Novel e-commerce after-sale service system |
| CN115016946A (en) * | 2022-08-03 | 2022-09-06 | 深圳市星卡软件技术开发有限公司 | User consultation processing method and system |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101101594A (en) * | 2007-06-12 | 2008-01-09 | 无敌科技(西安)有限公司 | Real-time sentence-assisted writing method and system |
| CN102193999A (en) * | 2011-05-09 | 2011-09-21 | 北京百度网讯科技有限公司 | Method and device for sequencing search results |
| CN103092875A (en) * | 2011-11-04 | 2013-05-08 | 中国移动通信集团贵州有限公司 | Searching method and searching device based on text |
| US8719015B2 (en) * | 2009-12-11 | 2014-05-06 | Samsung Electronics Co., Ltd. | Dialogue system and method for responding to multimodal input using calculated situation adaptability |
| CN104461525A (en) * | 2014-11-27 | 2015-03-25 | 韩慧健 | Intelligent user-defined consulting platform generating system |
| CN106339879A (en) * | 2016-08-11 | 2017-01-18 | 深圳创维－Rgb电子有限公司 | Method for solving user after-sales problem and device thereof |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP5733799B2 (en) * | 2010-03-12 | 2015-06-10 | 日本電気株式会社 | Profiling system, profiling method and program |
| CN106021463B (en) * | 2016-05-17 | 2019-07-09 | 北京百度网讯科技有限公司 | Method, intelligent service system and the intelligent terminal of intelligent Service are provided based on artificial intelligence |
| CN106383875B (en) * | 2016-09-09 | 2019-10-15 | 北京百度网讯科技有限公司 | Man-machine interaction method and device based on artificial intelligence |
| CN106447356A (en) * | 2016-09-27 | 2017-02-22 | 美的智慧家居科技有限公司 | Method, server, terminal and system for assisting installation of electric appliances |
| CN107688950B (en) * | 2017-08-31 | 2022-03-11 | 广东美的制冷设备有限公司 | After-sale consultation method for household appliances, electronic equipment and computer readable storage medium |
-
2017
- 2017-08-31 CN CN201710778924.8A patent/CN107688950B/en active Active
-
2018
- 2018-04-27 WO PCT/CN2018/084790 patent/WO2019041851A1/en active Application Filing
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101101594A (en) * | 2007-06-12 | 2008-01-09 | 无敌科技(西安)有限公司 | Real-time sentence-assisted writing method and system |
| US8719015B2 (en) * | 2009-12-11 | 2014-05-06 | Samsung Electronics Co., Ltd. | Dialogue system and method for responding to multimodal input using calculated situation adaptability |
| CN102193999A (en) * | 2011-05-09 | 2011-09-21 | 北京百度网讯科技有限公司 | Method and device for sequencing search results |
| CN103092875A (en) * | 2011-11-04 | 2013-05-08 | 中国移动通信集团贵州有限公司 | Searching method and searching device based on text |
| CN104461525A (en) * | 2014-11-27 | 2015-03-25 | 韩慧健 | Intelligent user-defined consulting platform generating system |
| CN106339879A (en) * | 2016-08-11 | 2017-01-18 | 深圳创维－Rgb电子有限公司 | Method for solving user after-sales problem and device thereof |
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2019041851A1 (en) * | 2017-08-31 | 2019-03-07 | 广东美的制冷设备有限公司 | Home appliance after-sales consulting method, electronic device and computer-readable storage medium |
| CN110322093A (en) * | 2018-03-30 | 2019-10-11 | 阿里巴巴集团控股有限公司 | Information processing method, information display method, device and calculating equipment |
| CN110322093B (en) * | 2018-03-30 | 2024-03-08 | 阿里巴巴集团控股有限公司 | Information processing method, information display method, information processing device and computing equipment |
| CN110046903A (en) * | 2019-01-15 | 2019-07-23 | 阿里巴巴集团控股有限公司 | Data processing method, system, server and readable storage medium storing program for executing |
| CN111105319A (en) * | 2019-09-16 | 2020-05-05 | 安徽农网农业科技有限公司 | Agricultural product sale management system |
| CN111787007A (en) * | 2020-06-30 | 2020-10-16 | 北京天融信网络安全技术有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
| CN111787007B (en) * | 2020-06-30 | 2022-09-16 | 北京天融信网络安全技术有限公司 | Information processing method, information processing device, electronic equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN107688950B (en) | 2022-03-11 |
| WO2019041851A1 (en) | 2019-03-07 |
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