WO2019041851A1 - 家电售后咨询方法、电子设备和计算机可读存储介质 - Google Patents
家电售后咨询方法、电子设备和计算机可读存储介质 Download PDFInfo
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- WO2019041851A1 WO2019041851A1 PCT/CN2018/084790 CN2018084790W WO2019041851A1 WO 2019041851 A1 WO2019041851 A1 WO 2019041851A1 CN 2018084790 W CN2018084790 W CN 2018084790W WO 2019041851 A1 WO2019041851 A1 WO 2019041851A1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- 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
- G06F16/33—Querying
- G06F16/332—Query formulation
- G06F16/3329—Natural language query formulation or dialogue systems
Definitions
- the present invention relates to the field of data processing technologies, and in particular, to an after-sales consulting method for electronic appliances, an electronic device, and a computer-readable storage medium.
- the present application claims to be submitted to the Chinese Patent Office on August 31, 2017, the application number is 201710778924.8, and the invention name is "home appliance sale”. The priority of the Chinese Patent Application, the entire disclosure of which is hereby incorporated by reference.
- the current home appliance after-sales consultation has a low degree of intelligence, poor efficiency and poor accuracy.
- the main purpose of the present application is to provide a home appliance after-sales consultation method, an electronic device, and a computer-readable storage medium, which aim to solve the problem that the current home appliance after-sales consultation has low intelligence, poor efficiency, and poor accuracy.
- the present invention provides a home appliance after-sales consultation method, including the following steps:
- the after-sales consultation answer data is generated according to the search result, and the answer data is sent to the client side of the user side.
- the step of generating the after-sales consultation answer data according to the search result includes:
- the method further includes:
- the after-sales consultation answer data is generated according to the determined search result, and the control generates the after-sales consultation answer data according to the determined search result to display on the user-side client interface in the form of a bubble or a floating window.
- the method before the step of converting the input information of the user into the input parameter of the after-sales consultation, the method further includes:
- the step of converting the input information of the user into an input parameter of the after-sales consultation is performed.
- the step of converting the input information of the user into an input parameter of the after-sales consultation, and the step of enabling the preset search engine to match the search result corresponding to the input parameter from the preset home appliance after-sales knowledge base comprises:
- the input parameter is modified according to the impact factor, and the preset search engine is enabled to match the search result corresponding to the corrected input parameter from the preset home appliance after-sales knowledge base.
- the step of converting the input information of the user into an input parameter of the after-sales consultation comprises:
- the input information after the error correction processing is converted into an input parameter of the after-sales consultation.
- the method further includes:
- the input parameter is changed according to the feedback data
- the search engine that enables the preset matches the search result corresponding to the changed input parameter from the preset home appliance after-sales knowledge base.
- the method further includes:
- the input information is input information other than text information
- the input information is converted into text information.
- the search engine that enables the preset to match the search result corresponding to the input parameter from the preset home appliance after-sales knowledge base includes:
- the search engine classifies and indexes the data of the knowledge base, establishes an index file, and the search engine matches the search result according to the input parameters.
- Preprocessing the input information extracting the feature words, segmenting the input information, and removing the stop words from the input information after the word segmentation.
- the present application further provides an electronic device, including: a memory, a processor, and a home appliance after-sales consultation program stored on the memory and operable on the processor, When the home appliance after-sales consultation program is executed by the processor, the home appliance after-sales consultation method as described above is realized.
- the present application further provides a computer readable storage medium, where the home appliance after-sales consultation program is stored, and the home appliance after-sales consultation program is executed by the processor to implement the above.
- Home appliance after-sales consultation method is stored, and the home appliance after-sales consultation program is executed by the processor to implement the above.
- the application converts the input information into an input parameter of the after-sales consultation according to the input information, and starts the search engine to match the search result corresponding to the input parameter from the preset home appliance after-sales knowledge base, and generates the after-sales consultation answer data according to the search result, without Manually complete after-sales consultation, improve the intelligence of after-sales consultation, and improve the efficiency and accuracy of after-sales consultation through automatic matching.
- FIG. 1 is a schematic structural diagram of an electronic device in a hardware operating environment according to an embodiment of the present application
- FIG. 2 is a schematic flow chart of a first embodiment of a home appliance after-sales consultation method according to the present application
- FIG. 3 is a schematic flowchart of generating after-sales consultation answer data according to the search result according to an embodiment of the present application
- FIG. 4 is a schematic flow chart of a second embodiment of a home appliance after-sales consultation method according to the present application.
- FIG. 5 is a schematic flow chart of a third embodiment of a home appliance after-sales consultation method according to the present application.
- FIG. 6 is a schematic diagram of a process of converting an input parameter of the user into an input parameter of an after-sales consultation according to an embodiment of the present application, and enabling a preset search engine to match a search result corresponding to the input parameter;
- FIG. 7 is a schematic flow chart of a fourth embodiment of the home appliance after-sales consultation method of the present application.
- the main solution of the embodiment of the present application is: acquiring input information of the user; converting the input information of the user into an input parameter of the after-sales consultation, enabling the preset search engine to match and output from the preset home appliance after-sales knowledge base Entering a search result corresponding to the parameter; generating after-sales consultation answer data according to the search result, and sending the answer data to the client side of the user side.
- the present application provides a solution for converting an input parameter into an input parameter of an after-sales consultation according to the input information, and starting a search engine to match a search result corresponding to the input parameter from a preset home appliance after-sales knowledge base, and generating a search result according to the search result.
- After-sales consultation answer data no need to manually complete after-sales consultation, improve the intelligence of after-sales consultation, and through automatic matching, improve the efficiency and accuracy of after-sales consultation.
- FIG. 1 is a schematic structural diagram of an electronic device in a hardware operating environment according to an embodiment of the present application.
- the electronic device in the embodiment of the present application may be an control device such as an air conditioner, a fan or a refrigerator, or a control device such as a PC, a smart phone, a tablet computer or a portable computer, or a server or a home gateway.
- a control device such as an air conditioner, a fan or a refrigerator
- a control device such as a PC, a smart phone, a tablet computer or a portable computer, or a server or a home gateway.
- the electronic device can include a processor 1001, such as a CPU, a network interface 1004, a user interface 1003, a memory 1005, and a communication bus 1002.
- the communication bus 1002 is used to implement connection communication between these components.
- the user interface 1003 can include a display, an input unit such as a keyboard, and the optional user interface 1003 can also include a standard wired interface, a wireless interface.
- the network interface 1004 can optionally include a standard wired interface, a wireless interface (such as a WI-FI interface).
- the memory 1005 may be a high speed RAM memory or a stable memory (non-volatile) Memory), such as disk storage.
- the memory 1005 can also optionally be a storage device independent of the aforementioned processor 1001.
- the electronic device may further include a camera, RF (Radio) Frequency, RF) circuits, sensors, audio circuits, WiFi modules, wind speed meters, and more.
- sensors such as image sensors, infrared sensors and other sensors.
- the image sensor or the infrared sensor can detect the position of the user in the working space of the air conditioner, and control the speed of the fan in the air conditioner by the position.
- the wind speed measuring instrument is used to measure the wind speed of the user's location, and the wind speeds of different positions are different.
- the gravity acceleration sensor can detect the acceleration of each direction (usually three axes), and the magnitude and direction of gravity can be detected at rest, which can be used to identify the posture of the electronic device (such as horizontal and vertical screen switching). , related games, magnetometer attitude calibration), vibration recognition related functions (such as pedometer, tapping), etc.; of course, electronic equipment can also be equipped with gyroscopes, barometers, hygrometers, thermometers, temperature sensors, Holman sensors Other sensors, etc., will not be described here.
- terminal structure shown in FIG. 1 does not constitute a limitation on an electronic device, and may include more or less components than those illustrated, or a combination of certain components, or different component arrangements.
- a memory 1005 as a computer storage medium may include an operating system, a network communication module, a user interface module, and an appliance after-sales consulting application.
- the network interface 1004 is mainly used to connect to the background server and perform data communication with the background server;
- the user interface 1003 is mainly used to connect the client (user end), and perform data communication with the client;
- the processor 1001 can be used to call the home appliance after-sales consulting application stored in the memory 1005, and perform the following operations:
- the after-sales consultation answer data is generated according to the search result, and the answer data is sent to the client side of the user side.
- processor 1001 may be configured to invoke the home appliance after-sales consulting application stored in the memory 1005, and perform the following operations:
- the processor 1001 may be configured to call the home appliance after-sales consultation application stored in the memory 1005, and perform the following operations:
- the after-sales consultation answer data is generated according to the determined search result, and the control generates the after-sales consultation answer data according to the determined search result to display on the user-side client interface in the form of a bubble or a floating window.
- the processor 1001 may be configured to invoke the home appliance after-sales consulting application stored in the memory 1005, and perform the following operations:
- the step of converting the input information of the user into an input parameter of the after-sales consultation is performed.
- processor 1001 may be configured to invoke the home appliance after-sales consulting application stored in the memory 1005, and perform the following operations:
- the input parameter is modified according to the impact factor, and the preset search engine is enabled to match the search result corresponding to the corrected input parameter from the preset home appliance after-sales knowledge base.
- processor 1001 may be configured to invoke the home appliance after-sales consulting application stored in the memory 1005, and perform the following operations:
- the input information after the error correction processing is converted into an input parameter of the after-sales consultation.
- the processor 1001 may be configured to invoke the home appliance after-sales consulting application stored in the memory 1005. And do the following:
- the input parameter is changed according to the feedback data
- the search engine that enables the preset matches the search result corresponding to the changed input parameter from the preset home appliance after-sales knowledge base.
- processor 1001 may be configured to invoke the home appliance after-sales consulting application stored in the memory 1005, and perform the following operations:
- the input information is input information other than text information
- the input information is converted into text information.
- a first embodiment of the present application provides a home appliance after-sales consultation method, where the home appliance after-sales consultation method includes:
- Step S10 obtaining input information of the user
- the after-sales consulting APP client is provided or the browser operation interface is provided to provide after-sales service, or the after-sales service is provided by telephone or SMS, or the after-sales service is provided through the public number.
- the after-sales service is started, and the required after-sales information is input through any one of the above methods, and the input after-sales information is referred to as input information, and the input information may be voice, text, picture or video, etc. format.
- the user's input information is obtained, and the input information includes information required for after-sales consultation.
- the input information When the input information is in a text format, the input information is directly used as a subsequent step; when the input information is in another format (other than the text format), the text format is converted (the input information is input information other than the text information) When the input information is converted into text information, the format is converted and then transferred to the subsequent steps.
- the input information may be input by means of a telephone or a short message (in a remote or short-distance manner by telephone or short message or other input without input box), not only through the input interface.
- the input information may be input by means of a telephone or a short message (in a remote or short-distance manner by telephone or short message or other input without input box), not only through the input interface.
- Step S20 converting the input information of the user into an input parameter of the after-sales consultation, and enabling the preset search engine to match the search result corresponding to the input parameter;
- a knowledge base is set in advance, and the knowledge base collects, stores, and manages knowledge related to after-sales of the home appliance, for example, the cause of the failure, the solution, and the post-sales problem that is prone to occur.
- the knowledge base After obtaining the input information of the user, converting the input information of the user into an input parameter of the after-sales consultation, that is, the knowledge base has a format of the set text information, and converting the input information of the user into a format conforming to the knowledge base, enabling
- the preset search engine matches the search result corresponding to the input parameter, and the search engine classifies and indexes the data of the knowledge base, establishes an index file, and the search engine matches the search result according to the input parameter.
- the input information is processed to remove the interference before the input information is converted into the input parameter, and the process of processing the input information is: pre-processing the input information , extract feature words, segment the input information, and remove the stop words from the input information after the word segmentation.
- the process of processing is a process of detouring, and the interference is discharged, which is more accurate for subsequent classification and identification, and the process of processing can be realized by extracting feature words, word segmentation and taking out stop words through the existing pre-processing, no longer one.
- converting the input information of the user into an input parameter of the after-sales consultation includes: performing error correction processing on the information input by the user according to a preset error correction mechanism; The input information after the error correction processing is converted into an input parameter of the after-sales consultation.
- the error correction is performed according to the input information of the preset dictionary library, and the error information that is obviously not in conformity with the dictionary library is found, and the input information after the error information is output is converted into the input parameter of the after-sales consultation.
- Step S30 Generate after-sales consultation answer data according to the search result, and send the answer data to the client side of the user side.
- the answer data is assembled according to the search results.
- the step of generating the after-sales consultation answer data according to the search result includes:
- Step S31 When the search result includes multiple pieces, obtain a matching degree of each search result
- step S32 the after-sales consultation answer data is generated according to the search result with the highest matching degree.
- the matching degree is calculated according to a variable selected by the user, and the variables include keyword matching, service type matching, and the like.
- the after-sales consultation answer data is directly generated according to the search result.
- the answer data is sent to the client side of the user side, that is, to the user, so that the user can know the after-sales consultation result.
- the output mode may be voice, text, image, video, graphic or webpage link, or output by public number.
- the input information is converted into the input parameter of the after-sales consultation according to the input information, and the search engine is started to match the search result corresponding to the input parameter from the preset home appliance after-sales knowledge base, and the after-sales consultation answer data is generated according to the search result.
- the search engine is started to match the search result corresponding to the input parameter from the preset home appliance after-sales knowledge base, and the after-sales consultation answer data is generated according to the search result.
- the method further includes:
- Step S33 determining, from the search results with the highest matching degree, the search results whose matching degree is greater than the preset order
- Step S34 Generate after-sales consultation answer data according to the determined search result, and control to generate the after-sales consultation answer data according to the determined search result to display on the user-side client interface in a bubble or floating window manner.
- a plurality of search results may be searched according to the search engine input parameter, and the search result whose matching degree is greater than the preset order is determined from the search result with the highest matching degree, and the preset order is higher than the top 3
- the order is higher than the order of the top 5, etc., according to the requirements, or according to the number of search results, for example, 5-10, which is higher than the order of the first 3; 10-20, which is higher than the order of the top 5. 20 or more, which is higher than the order of the first 8 and of course includes other order settings, and will not be exemplified here.
- the method before the step of converting the input information of the user into an input parameter of the after-sales consultation, the method further includes:
- Step S40 extracting classification parameters from the input information
- Step S50 determining, according to the classification parameter, whether the input information is after-sales consultation input information
- Step S60 when the input information is the after-sales consultation input information, the step of converting the input information of the user into an input parameter of the after-sales consultation is performed.
- the system also sets a classifier, establishes a statistical model by means of classifier learning, converts input information into input parameters of the classifier, calculates a user's intention classification data according to a preset statistical model and algorithm, and judges according to the classification data. If it belongs to the after-sales consultation input information, the step of converting the input information of the user into an input parameter of the after-sales consultation is performed. If not, move to another operation instead of a follow-up to the after-sales consultation. For example, to control the operation, the operation of the corresponding home appliance is controlled. By classification, to prevent misuse, the after-sales consultation operation is more accurate and effective.
- the input information of the user is converted into an input parameter of the after-sales consultation, and the preset search engine is enabled to match the input parameter from the preset home appliance after-sales knowledge base.
- the steps of the corresponding search results include:
- Step S21 Obtain an impact factor corresponding to the user side and the after-sales consultation
- Step S22 Correct the input parameter according to the influence factor, and enable the preset search engine to match the search result corresponding to the modified input parameter from the preset home appliance after-sales knowledge base.
- the different factors of the user side or the operation status of the home appliance consulted after the sale are different, and the after-sales information of the appliance to be consulted is different. Therefore, the influence factor corresponding to the user side and the after-sales consultation is obtained, and the impact factor is After-sales consultation with the operating status or operation information of the home appliance, or the environmental information of the user side.
- the input parameter is modified according to the impact factor, and the preset search engine is enabled to match the search result corresponding to the corrected input parameter from the preset home appliance after-sales knowledge base.
- the corrected correction value is obtained according to the value of the influence factor, and the corresponding relationship between the value of the influence factor and the correction value is set in advance, and the correction value corresponding to the influence factor is obtained according to the correspondence relationship, and the input parameter is corrected.
- the input parameters are corrected by the user-side factors to improve the after-sales consultation.
- the method further includes:
- Step S70 receiving feedback data sent by the user based on the after-sales consultation answer data
- Step S80 when the feedback data includes the denial data, the input parameter is changed according to the feedback data
- step S90 the preset search engine is enabled to match the search result corresponding to the changed input parameter from the preset home appliance after-sales knowledge base.
- the answer data is transmitted to the client on the user side.
- Receiving feedback from the user on the after-sales consultation if the feedback is correct, continuing to receive the input information, indicating that the user is provided with the required after-sales consultation information; if the feedback is an error, that is, when the denial information is included, the feedback data is
- the input parameters are changed; the search engine that enables the preset matches the search results corresponding to the changed input parameters from the preset home appliance after-sales knowledge base.
- the input parameters of the search engine are extracted from the user feedback data to correct the correct and accurate search results, and then the correct after-sales consultation answer data is obtained. Improve the accuracy of after-sales consultation by continuously correcting the input parameters of the search engine according to the user's wishes.
- the application further provides an electronic device, the electronic device comprising: a memory, a processor, and a home appliance after-sales consultation program stored on the memory and operable on the processor, wherein the home appliance after-sales consultation program is When the processor is executed, the home appliance after-sales consultation method as described in the above embodiment is implemented.
- the input information is converted into the input parameter of the after-sales consultation according to the input information, and the search engine is started to match the search result corresponding to the input parameter from the preset home appliance after-sales knowledge base, and the after-sales consultation answer data is generated according to the search result.
- the search engine is started to match the search result corresponding to the input parameter from the preset home appliance after-sales knowledge base, and the after-sales consultation answer data is generated according to the search result.
- the embodiment of the present application further provides a computer readable storage medium, where the home appliance after-sales consultation program is stored, and the home appliance after-sales consultation program is executed by the processor to:
- the after-sales consultation answer data is generated according to the search result, and the answer data is sent to the client side of the user side.
- the home appliance after-sales consultation program is executed by the processor to:
- the after-sales consultation answer data is generated according to the determined search result, and the control generates the after-sales consultation answer data according to the determined search result to display on the user-side client interface in the form of a bubble or a floating window.
- the home appliance after-sales consultation program is executed by the processor to:
- the step of converting the input information of the user into an input parameter of the after-sales consultation is performed.
- the input parameter is modified according to the impact factor, and the preset search engine is enabled to match the search result corresponding to the corrected input parameter from the preset home appliance after-sales knowledge base.
- the input information after the error correction processing is converted into an input parameter of the after-sales consultation.
- the input parameter is changed according to the feedback data
- the search engine that enables the preset matches the search result corresponding to the changed input parameter from the preset home appliance after-sales knowledge base.
- the input information is input information other than text information
- the input information is converted into text information.
- the technical solution of the present application which is essential or contributes to the prior art, may be embodied in the form of a software product stored in a storage medium (such as ROM/RAM as described above). , a disk, an optical disk, including a number of instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the methods described in the various embodiments of the present application.
- a terminal device which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.
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Abstract
本申请公开了一种家电售后咨询方法，包括以下步骤：获取用户的输入信息；将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。本申请还公开了一种电子设备和计算机可读存储介质。本申请通过获取输入信息根据输入信息转换为售后咨询的输入参数，启动搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果，根据搜索结果生成售后咨询答案数据，无需人工来完成售后咨询，提高售后咨询的智能化程度，且通过自动匹配的方式，提高了售后咨询的效率和准确度。
Description
技术领域
本申请涉及数据处理技术领域，尤其涉及家电售后咨询方法、电子设备和计算机可读存储介质，本申请要求于2017年08月31日提交中国专利局、申请号为201710778924.8、发明名称为“家电售后咨询方法、电子设备和计算机可读存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
背景技术
目前，家电售后咨询，大多是人工客服实时或者半实时的与客户交流来实现，这种方式的缺点是：
人力成本大；
客服回答问题质量难以把控；
当咨询量大时，客服无法做到回复的实时性，造成不好的体验。
当然，也有通过网页或者电话录音等方式来回答售后咨询的，但这种方式需要客户依照给定的路径去寻找咨询的答案，也会造成不好的体验，而且，也很难有效覆盖客户的真实需求。
综上，目前的家电售后咨询智能化程度低，效率差以及准确度差。
而采取其他通用的分类方式对家电领域的文本分类导致分类效果差、准确度差和效率差。
上述内容仅用于辅助理解本申请的技术方案，并不代表承认上述内容是现有技术。
发明内容
本申请的主要目的在于提供一种家电售后咨询方法、电子设备和计算机可读存储介质，旨在解决目前的家电售后咨询智能化程度低，效率差以及准确度差的问题。
为实现上述目的，本申请提供的一种家电售后咨询方法，包括以下步骤：
获取用户的输入信息；
将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；
根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
可选地，所述根据所述搜索结果生成售后咨询答案数据的步骤包括：
在所述搜索结果包括多条时，获取每条搜索结果的匹配度；
根据匹配度最高的搜索结果生成售后咨询答案数据。
可选地，所述根据匹配度最高的搜索结果生成售后咨询答案数据的步骤之后，还包括：
从除匹配度最高的搜索结果中确定匹配度排序大于预设顺序的搜索结果；
根据确定的搜索结果生成售后咨询答案数据，控制根据确定的搜索结果生成售后咨询答案数据以气泡或者悬浮窗的方式在用户侧客户端界面显示。
可选地，所述将所述用户的输入信息转换成售后咨询的输入参数的步骤之前，还包括：
从所述输入信息中提取分类参数；
根据所述分类参数判断所述输入信息是否为售后咨询输入信息；
在所述输入信息为售后咨询输入信息时，执行将所述用户的输入信息转换成售后咨询的输入参数的步骤。
可选地，所述将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果的步骤包括：
获取所述用户侧与所述售后咨询对应的影响因子；
根据所述影响因子对所述输入参数修正，启用预设的搜索引擎从预设的家电售后知识库匹配出与修正后的输入参数对应的搜索结果。
可选地，所述将所述用户的输入信息转换成售后咨询的输入参数的步骤包括：
根据预设的纠错机制对所述用户输入的信息进行纠错处理；
将所述纠错处理后的输入信息转换成售后咨询的输入参数。
可选地，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，还包括：
接收用户发送的基于所述售后咨询答案数据发送的反馈数据；
在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；
启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
可选地，所述方法还包括：
在所述输入信息为文本信息之外的输入信息时，将所述输入信息转换为文本信息。
可选地，所述启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果包括：
搜索引擎对知识库的数据进行分类索引，建立索引文件，搜索引擎根据输入参数，匹配出搜索结果。
可选地，在从输入信息转换为输入参数之前，还包括：
对输入信息进行预处理，提取特征词，对输入信息进行分词，对分词后的输入信息去除停用词。
此外，为实现上述目的，本申请还提供一种电子设备，所述电子设备包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的家电售后咨询程序，所述家电售后咨询程序被所述处理器执行时实现如上所述的家电售后咨询方法。
此外，为实现上述目的，本申请还提供一种计算机可读存储介质，所述计算机可读存储介质上存储有家电售后咨询程序，所述家电售后咨询程序被处理器执行时实现如上所述的家电售后咨询方法。
本申请通过获取输入信息根据输入信息转换为售后咨询的输入参数，启动搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果，根据搜索结果生成售后咨询答案数据，无需人工来完成售后咨询，提高售后咨询的智能化程度，且通过自动匹配的方式，提高了售后咨询的效率和准确度。
附图说明
图1为本申请一实施例方案涉及的硬件运行环境的电子设备结构示意图；
图2为本申请家电售后咨询方法的第一实施例的流程示意图；
图3为本申请一实施例中所述根据所述搜索结果生成售后咨询答案数据的流程示意图；
图4为本申请家电售后咨询方法的第二实施例的流程示意图；
图5为本申请家电售后咨询方法的第三实施例的流程示意图；
图6为本申请一实施例中所述将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎匹配出与所述输入参数对应的搜索结果的流程示意图；
图7为本申请家电售后咨询方法的第四实施例的流程示意图。
本申请目的的实现、功能特点及优点将结合实施例，参照附图做进一步说明。
具体实施方式
应当理解，此处所描述的具体实施例仅仅用以解释本申请，并不用于限定本申请。
本申请实施例的主要解决方案是：获取用户的输入信息；将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
由于目前的家电售后咨询智能化程度低，效率差以及准确度差的问题。本申请提供一种解决方案，通过获取输入信息根据输入信息转换为售后咨询的输入参数，启动搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果，根据搜索结果生成售后咨询答案数据，无需人工来完成售后咨询，提高售后咨询的智能化程度，且通过自动匹配的方式，提高了售后咨询的效率和准确度。
如图1所示，图1是本申请实施例方案涉及的硬件运行环境的电子设备结构示意图。
本申请实施例电子设备可以是空调器、风扇或冰箱等可接受控制的设备，也可是PC、智能手机、平板电脑或便携计算机等控制设备，或者服务器或者家庭网关等设备。
如图1所示，该电子设备可以包括：处理器1001，例如CPU，网络接口1004，用户接口1003，存储器1005，通信总线1002。其中，通信总线1002用于实现这些组件之间的连接通信。用户接口1003可以包括显示屏（Display）、输入单元比如键盘（Keyboard），可选用户接口1003还可以包括标准的有线接口、无线接口。网络接口1004可选的可以包括标准的有线接口、无线接口（如WI-FI接口）。存储器1005可以是高速RAM存储器，也可以是稳定的存储器（non-volatile
memory），例如磁盘存储器。存储器1005可选的还可以是独立于前述处理器1001的存储装置。
可选地，电子设备还可以包括摄像头、RF（Radio
Frequency，射频）电路，传感器、音频电路、WiFi模块、风速测量仪等等。其中，传感器比如图像传感器、红外传感器以及其他传感器。具体地，图像传感器或红外传感器可检测用户在空调器作用空间内的位置，通过位置来控制空调器室内风机转速。所述风速测量仪用来测量用户所在位置的风速，不同位置的风速存在差异。而作为运动传感器的一种，重力加速度传感器可检测各个方向上（一般为三轴）加速度的大小，静止时可检测出重力的大小及方向，可用于识别电子设备姿态的应用（比如横竖屏切换、相关游戏、磁力计姿态校准）、振动识别相关功能（比如计步器、敲击）等；当然，电子设备还可配置陀螺仪、气压计、湿度计、温度计、温度传感器、霍尔曼传感器等其他传感器，在此不再赘述。
本领域技术人员可以理解，图1中示出的终端结构并不构成对电子设备的限定，可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置。
如图1所示，作为一种计算机存储介质的存储器1005中可以包括操作系统、网络通信模块、用户接口模块以及家电售后咨询应用程序。
在图1所示的终端中，网络接口1004主要用于连接后台服务器，与后台服务器进行数据通信；用户接口1003主要用于连接客户端（用户端），与客户端进行数据通信；而处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
获取用户的输入信息；
将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；
根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
进一步地，处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
在所述搜索结果包括多条时，获取每条搜索结果的匹配度；
根据匹配度最高的搜索结果生成售后咨询答案数据。
进一步地，所述根据匹配度最高的搜索结果生成售后咨询答案数据的步骤之后，处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
从除匹配度最高的搜索结果中确定匹配度排序大于预设顺序的搜索结果；
根据确定的搜索结果生成售后咨询答案数据，控制根据确定的搜索结果生成售后咨询答案数据以气泡或者悬浮窗的方式在用户侧客户端界面显示。
进一步地，所述将所述用户的输入信息转换成售后咨询的输入参数的步骤之前，处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
从所述输入信息中提取分类参数；
根据所述分类参数判断所述输入信息是否为售后咨询输入信息；
在所述输入信息为售后咨询输入信息时，执行将所述用户的输入信息转换成售后咨询的输入参数的步骤。
进一步地，处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
获取所述用户侧与所述售后咨询对应的影响因子；
根据所述影响因子对所述输入参数修正，启用预设的搜索引擎从预设的家电售后知识库匹配出与修正后的输入参数对应的搜索结果。
进一步地，处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
根据预设的纠错机制对所述用户输入的信息进行纠错处理；
将所述纠错处理后的输入信息转换成售后咨询的输入参数。
进一步地，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
接收用户发送的基于所述售后咨询答案数据发送的反馈数据；
在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；
启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
进一步地，处理器1001可以用于调用存储器1005中存储的家电售后咨询应用程序，并执行以下操作：
在所述输入信息为文本信息之外的输入信息时，将所述输入信息转换为文本信息。
参照图2，本申请的第一实施例提供一种家电售后咨询方法，所述家电售后咨询方法包括：
步骤S10，获取用户的输入信息；
在本实施例中，提供售后咨询APP客户端或者提供浏览器操作界面提供售后服务，或者通过电话或短信提供售后服务或者通过公众号提供售后服务。在用户需要售后服务时，开启售后服务，通过上述方式中的任意一种输入所需要的售后信息，所输入的售后信息称为输入信息，所述输入信息可以是语音、文字、图片或者视频等格式。获取用户的输入信息，所述输入信息包括售后咨询所需要的信息。
在输入信息为文本格式时，直接将输入信息作为后续步骤所用；在输入信息为其他格式（文本格式之外的）时，转换为文本格式（在所述输入信息为文本信息之外的输入信息时，将所述输入信息转换为文本信息），转换格式后再转入后续步骤。
在本申请一实施例中，所述输入信息可以是通过电话或短信等方式来输入（在远程或者近程通过电话或短信或其他不需要输入框输入的方式），而不单单是通过输入界面所述输入的信息。
步骤S20，将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎匹配出与所述输入参数对应的搜索结果；
预先设置知识库，所述知识库收集、存储、管理家电设备售后相关的知识，例如，故障出现的原因、解决方案、容易出现的售后问题等信息。
在获取到用户的输入信息后，将所述用户的输入信息转换成售后咨询的输入参数，即，知识库有设定的文本信息格式，将用户的输入信息转换成符合知识库的格式，启用预设的搜索引擎匹配出与所述输入参数对应的搜索结果，搜索引擎对知识库的数据进行分类索引，建立索引文件，搜索引擎根据输入参数，匹配出搜索结果。
为了提高售后咨询的准确度，在本申请一实施例中，在从输入信息转换为输入参数之前，对输入信息进行处理，去除干扰，对输入信息进行处理的过程为：对输入信息进行预处理，提取特征词，对输入信息进行分词，对分词后的输入信息去除停用词。处理的过程为一个去躁的过程，排出干扰，是后续分类识别更加准确，且处理的过程可通过现有的这些预处理，提取特征词、分词和取出停用词实现，在此不再一一赘述。
在本申请一实施例中，为了提高搜索的准确性，将所述用户的输入信息转换成售后咨询的输入参数包括：根据预设的纠错机制对所述用户输入的信息进行纠错处理；将所述纠错处理后的输入信息转换成售后咨询的输入参数。根据预设字典库输入信息进行纠错，找出明显不符合字典库的错误信息，进行排除，按照排出错误信息后的输入信息转换成售后咨询的输入参数。
步骤S30，根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
在通过搜索引擎搜索到搜索结果后，根据所述搜索结果组装成答案数据。
在本申请一实施例中，在存在多条搜索结果时，参考图3，所述根据所述搜索结果生成售后咨询答案数据的步骤包括：
步骤S31，在所述搜索结果包括多条时，获取每条搜索结果的匹配度；
步骤S32，根据匹配度最高的搜索结果生成售后咨询答案数据。在搜索结果为多条时，按照匹配度的不同进行排序，找到最高匹配度的搜索结果生成售后咨询答案数据。所述匹配度根据用户选择的变量来计算得到，所述变量包括关键词匹配，业务类型匹配等。而在存在一条搜索结果时，直接根据搜索结果生成售后咨询答案数据。在生成售后咨询答案数据后，将所述答案数据发送至所述用户侧的客户端，即，发送至用户，以供用户知晓此次售后咨询结果。所述输出方式可以是语音、文字、图像、视频、图文或网页链接等，或者通过公众号的方式输出。
本实施例通过获取输入信息根据输入信息转换为售后咨询的输入参数，启动搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果，根据搜索结果生成售后咨询答案数据，无需人工来完成售后咨询，提高售后咨询的智能化程度，且通过自动匹配的方式，提高了售后咨询的效率和准确度。
在本申请一实施例中，参考图4，所述根据匹配度最高的搜索结果生成售后咨询答案数据的步骤之后，还包括：
步骤S33，从除匹配度最高的搜索结果中确定匹配度排序大于预设顺序的搜索结果；
步骤S34，根据确定的搜索结果生成售后咨询答案数据，控制根据确定的搜索结果生成售后咨询答案数据以气泡或者悬浮窗的方式在用户侧客户端界面显示。
在本实例中，根据搜索引擎输入参数可搜索出多条搜索结果，从除匹配度最高的搜索结果中确定匹配度排序大于预设顺序的搜索结果，所述预设顺序为高于前3的顺序或者高于前5的顺序等，根据需求设置，或者根据搜索结果的条数设置，例如，5-10条，为高于前3的顺序；10-20条，为高于前5的顺序；20条以上，为高于前8的顺序，当然也包括其他顺序的设置，在此不再一一举例。根据确定的搜索结果生成售后咨询答案数据，控制根据确定的搜索结果生成售后咨询答案数据以气泡或者悬浮窗的方式在用户侧客户端界面显示，在公众号界面或者是APP或者网页链接的界面以气泡或者悬浮窗的方式显示排序大于预设顺序的搜索结果对应的售后咨询答案数据。所述气泡或者悬浮窗不会影响当前界面的操作。通过上述方式，提供更多的售后咨询答案数据给用户参考，使得参考的数据更多更加方便。
在本申请一实施例中，参考图5，所述将所述用户的输入信息转换成售后咨询的输入参数的步骤之前，还包括：
步骤S40，从所述输入信息中提取分类参数；
步骤S50，根据所述分类参数判断所述输入信息是否为售后咨询输入信息；
步骤S60，在所述输入信息为售后咨询输入信息时，执行将所述用户的输入信息转换成售后咨询的输入参数的步骤。
系统还设置分类器，通过分类器学习的方式，建立统计模型，将输入信息转换为分类器的输入参数，根据预设的统计模型与算法，计算出用户的意图分类数据，根据分类数据判断，如果属于售后咨询输入信息，执行将所述用户的输入信息转换成售后咨询的输入参数的步骤。若不是，则转入其他操作，而不是售后咨询的后续操作。例如，为控制操作，则控制相应家电设备的运行。通过分类，防止误操作，使得售后咨询操作更加准确，有效。
在本申请一实施例中，参考图6，所述将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果的步骤包括：
步骤S21，获取所述用户侧与所述售后咨询对应的影响因子；
步骤S22，根据所述影响因子对所述输入参数修正，启用预设的搜索引擎从预设的家电售后知识库匹配出与修正后的输入参数对应的搜索结果。
因用户侧不同环境，或者相应售后咨询的家电设备的运转情况不同，所需要咨询的家电售后信息不同，因此，获取所述用户侧与所述售后咨询对应的影响因子，所述影响因子，为售后咨询家电设备的运行状态或者操作信息等，或者是用户侧所在的环境信息等。根据所述影响因子对所述输入参数修正，启用预设的搜索引擎从预设的家电售后知识库匹配出与修正后的输入参数对应的搜索结果。所述修正的修正值根据影响因子的值获取，提前设置影响因子的值与修正值的对应关系，后续根据对应关系获取与影响因子对应的修正值，对输入参数修正。通过用户侧的因素对输入参数进行修正，提高售后咨询更加准确。
在本申请一实施例中，参考图7，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，还包括：
步骤S70，接收用户发送的基于所述售后咨询答案数据发送的反馈数据；
步骤S80，在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；
步骤S90，启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
在本实施例中，在售后咨询信息输出后，例如，将所述答案数据发送至所述用户侧的客户端。接收用户对于售后咨询的反馈，如果反馈正确，则继续接收输入信息，表示给用户反馈了所需的售后咨询信息；若反馈为错误时，即，包含否认信息时，根据所述反馈数据对所述输入参数进行更改；启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。从用户反馈数据中提取出针对搜索引擎的输入参数进行修正，以搜索出正确、准确的搜索结果，进而得到正确的售后咨询答案数据。通过根据用户意愿不断修正搜索引擎的输入参数，提高售后咨询的准确度。
本申请还提供一种电子设备，所述电子设备包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的家电售后咨询程序，所述家电售后咨询程序被所述处理器执行时实现如上述实施例所述的家电售后咨询方法。
本实施例中通过获取输入信息根据输入信息转换为售后咨询的输入参数，启动搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果，根据搜索结果生成售后咨询答案数据，无需人工来完成售后咨询，提高售后咨询的智能化程度，且通过自动匹配的方式，提高了售后咨询的效率和准确度。
此外，本申请实施例还提出一种计算机可读存储介质，所述计算机可读存储介质上存储有家电售后咨询程序，所述家电售后咨询程序被所述处理器执行时实现如下操作：
获取用户的输入信息；
将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；
根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
进一步地，所述家电售后咨询程序被所述处理器执行时实现如下操作：
在所述搜索结果包括多条时，获取每条搜索结果的匹配度；
根据匹配度最高的搜索结果生成售后咨询答案数据。
进一步地，所述根据匹配度最高的搜索结果生成售后咨询答案数据的步骤之后，所述家电售后咨询程序被所述处理器执行时实现如下操作：
从除匹配度最高的搜索结果中确定匹配度排序大于预设顺序的搜索结果；
根据确定的搜索结果生成售后咨询答案数据，控制根据确定的搜索结果生成售后咨询答案数据以气泡或者悬浮窗的方式在用户侧客户端界面显示。
进一步地，所述将所述用户的输入信息转换成售后咨询的输入参数的步骤之前，所述家电售后咨询程序被所述处理器执行时实现如下操作：
从所述输入信息中提取分类参数；
根据所述分类参数判断所述输入信息是否为售后咨询输入信息；
在所述输入信息为售后咨询输入信息时，执行将所述用户的输入信息转换成售后咨询的输入参数的步骤。
进一步地，所述家电售后咨询程序被所述处理器执行时实现如下操作：
获取所述用户侧与所述售后咨询对应的影响因子；
根据所述影响因子对所述输入参数修正，启用预设的搜索引擎从预设的家电售后知识库匹配出与修正后的输入参数对应的搜索结果。
进一步地，所述家电售后咨询程序被所述处理器执行时实现如下操作：
根据预设的纠错机制对所述用户输入的信息进行纠错处理；
将所述纠错处理后的输入信息转换成售后咨询的输入参数。
进一步地，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，所述家电售后咨询程序被所述处理器执行时实现如下操作：
接收用户发送的基于所述售后咨询答案数据发送的反馈数据；
在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；
启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
进一步地，所述家电售后咨询程序被所述处理器执行时实现如下操作：
在所述输入信息为文本信息之外的输入信息时，将所述输入信息转换为文本信息。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者系统不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者系统所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者系统中还存在另外的相同要素。
上述本申请实施例序号仅仅为了描述，不代表实施例的优劣。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在如上所述的一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端设备(可以是手机，计算机，服务器，空调器，或者网络设备等)执行本申请各个实施例所述的方法。
以上仅为本申请的优选实施例，并非因此限制本申请的专利范围，凡是利用本申请说明书及附图内容所作的等效结构或等效流程变换，或直接或间接运用在其他相关的技术领域，均同理包括在本申请的专利保护范围内。
Claims (15)
- 一种家电售后咨询方法，其特征在于，包括以下步骤：获取用户的输入信息；将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；以及根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
- 如权利要求1所述的家电售后咨询方法，其特征在于，所述根据所述搜索结果生成售后咨询答案数据的步骤包括：在所述搜索结果包括多条时，获取每条搜索结果的匹配度；以及根据匹配度最高的搜索结果生成售后咨询答案数据。
- 如权利要求2所述的家电售后咨询方法，其特征在于，所述根据匹配度最高的搜索结果生成售后咨询答案数据的步骤之后，还包括：从除匹配度最高的搜索结果中确定匹配度排序大于预设顺序的搜索结果；以及根据确定的搜索结果生成售后咨询答案数据，控制根据确定的搜索结果生成售后咨询答案数据以气泡或者悬浮窗的方式在用户侧客户端界面显示。
- 如权利要求2所述的家电售后咨询方法，其特征在于，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，还包括：接收用户发送的基于所述售后咨询答案数据发送的反馈数据；在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；以及启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
- 如权利要求3所述的家电售后咨询方法，其特征在于，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，还包括：接收用户发送的基于所述售后咨询答案数据发送的反馈数据；在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；以及启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
- 如权利要求1所述的家电售后咨询方法，其特征在于，所述将所述用户的输入信息转换成售后咨询的输入参数的步骤之前，还包括：从所述输入信息中提取分类参数；根据所述分类参数判断所述输入信息是否为售后咨询输入信息；以及在所述输入信息为售后咨询输入信息时，执行将所述用户的输入信息转换成售后咨询的输入参数的步骤。
- 如权利要求1所述的家电售后咨询方法，其特征在于，所述将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果的步骤包括：获取所述用户侧与所述售后咨询对应的影响因子；以及根据所述影响因子对所述输入参数修正，启用预设的搜索引擎从预设的家电售后知识库匹配出与修正后的输入参数对应的搜索结果。
- 如权利要求7所述的家电售后咨询方法，其特征在于，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，还包括：接收用户发送的基于所述售后咨询答案数据发送的反馈数据；在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；以及启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
- 如权利要求1所述的家电售后咨询方法，其特征在于，所述将所述用户的输入信息转换成售后咨询的输入参数的步骤包括：根据预设的纠错机制对所述用户输入的信息进行纠错处理；以及将所述纠错处理后的输入信息转换成售后咨询的输入参数。
- 如权利要求1所述的家电售后咨询方法，其特征在于，所述根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端的步骤之后，还包括：接收用户发送的基于所述售后咨询答案数据发送的反馈数据；在所述反馈数据包含否认数据时，根据所述反馈数据对所述输入参数进行更改；以及启用预设的搜索引擎从预设的家电售后知识库匹配出与更改后的输入参数对应的搜索结果。
- 如权利要求1所述的家电售后咨询方法，其特征在于，所述方法还包括：在所述输入信息为文本信息之外的输入信息时，将所述输入信息转换为文本信息。
- 如权利要求1所述的家电售后咨询方法，其特征在于，所述启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果包括：搜索引擎对知识库的数据进行分类索引，建立索引文件，搜索引擎根据输入参数，匹配出搜索结果。
- 如权利要求1所述的家电售后咨询方法，其特征在于，在从输入信息转换为输入参数之前，还包括：对输入信息进行预处理，提取特征词，对输入信息进行分词，对分词后的输入信息去除停用词。
- 一种电子设备，其特征在于，所述电子设备包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的家电售后咨询程序，所述家电售后咨询程序被所述处理器执行时实现如下步骤：获取用户的输入信息；将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；以及根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
- 一种计算机可读存储介质，其特征在于，所述计算机可读存储介质上存储有家电售后咨询程序，所述家电售后咨询程序被处理器执行如下步骤;获取用户的输入信息；将所述用户的输入信息转换成售后咨询的输入参数，启用预设的搜索引擎从预设的家电售后知识库匹配出与所述输入参数对应的搜索结果；以及根据所述搜索结果生成售后咨询答案数据，将所述答案数据发送至所述用户侧的客户端。
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