41results about How to "Quick answer" patented technology

The question answering method and system of the invention relate to a method which realizes the questioning and answering by taking advantages of different websites to exchange information through network and a system for realizing the method. The method of the invention includes the following steps: presetting all the characteristics of the problem processed by cooperative websites in a question answering system; then the question answering system analyzes and forwards the question submitted by a user to the corresponding cooperation website which is able to solve the problem; the corresponding cooperation website displays the question in the web pages for the users browsing in the cooperation website and forwards answers of the question to the question answering system; finally the answers are forwarded to the corresponding questioning user by the question answering system. The invention makes full use of the wisdom of current website users by forwarding the questions of users to the cooperative website users, who browse the question and provide the answers, conducive for providing fast and accurate answers to the questioning users.

The invention discloses a telephone robot speech recognition result correction method based on deep learning. The correction method comprises the following steps: obtaining a pinyin sentence text dataset Sp and a correct sentence text sample set Sc based on a historical speech data set; establishing a correction model by adopting deep learning; establishing the correction model comprises an encoder part construction based on a multi-head attention model and a feedforward neural network and a decoder part construction based on two stacked multi-head attention models and a feedforward neural network; training the established correction model based on the correct sentence text sample set Sc; and inputting a speech recognition result to be corrected into the trained correction model after being processed by a vectorization procedure to obtain a corrected text. The telephone robot speech recognition result correction method based on deep learning fully utilizes historical recording data resources, trains a speech recognition result correction model, and efficiently recognizes and corrects the speech in an unquiet environment and under the conditions of low speech recognition precisionsuch as a plurality of different speaking modes, pronunciation accuracy, sound receiving capability and the like.

The invention relates to a system and a method for network real-time interactive question-answering, which can also be used for performing accurate advertisement putting. The system and the method overcome the defects in the aspects of indefinable questions and answers, limited communication modes, non real-time property, difficult group collaboration and the like in the prior network question-answering system, and a real-time question-answering system comprising a question-answering community, a question processor, an advertising system, a transaction system, a resource database and a user database is established on the basis of an instant communication platform. The real-time question-answering system can select matched online users according to the questions of the users to establish atemporary group dialogue so that the questions can be answered in a quick, real-time and targeted mode in a group collaboration discussion, and the users can use audio, video and file exchange modes in communications. Simultaneously, the system can also perform the accurate advertisement putting according to question-answering information about the users.

The invention discloses an intelligent customer service system and method based on an insurance professional scene. The intelligent customer service system comprises a voice recognition unit, a Chinese word segmentation unit, an insurance scene intelligent question and answer unit, an answer optimization unit and a voice synthesis unit. According to the method, through knowledge graph guidance andcorpus data learning, quick answering and high accuracy can be realized; Related subjective and morality risks are completely eradicated, and a qualitative leap is provided for feedback efficiency and client experience. Compared with human customer service personnel, the intelligent customer service system can work for 24 hours, does not need to have a rest and can serve at any time; Meanwhile, subjectivity of insurance salesmen is served, and blowing is not black or neglected.

The embodiments of the present invention provide an artificial intelligence-based dining management system for a smart clean energy restaurant. The system includes a clean energy power generation system, a plurality of table sensing units, a wireless communication unit, a restaurant people quantity detection device, a processing device, a restaurant robot and a restaurant unmanned aerial vehicle;each table sensing unit is used for detecting the occupancy and idle state of a corresponding table; the restaurant people quantity detection device detects the quantity of people who dine in the restaurant at present; the processing device generates a current real-time table state diagram and the availability rate of the restaurant according to the identifiers and state data of tables, and the identifiers of tables which are in reserved states, and obtains the quantity of users who dine currently; the restaurant robot is used for displaying the real-time table state diagram, the availabilityrate, and the quantity of the users who dine currently in the restaurant, and interacts with users through a voice interaction mode; the restaurant unmanned aerial vehicle is used for monitoring an environment inside the restaurant and performing early warning. With the system adopted, dining experience can be optimized, time for searching tables can be saved, and a dining environment can be improved.

The invention discloses an O2O online interactive platform for K12 education, comprising a lesson preparation module, a class module, a question answering and test module, an operation record module, and an online course management module. The platform has a clear structure, and is convenient to operate. The platform meets the need for teaching interaction between students and teachers. Individualized student reminding brings great convenience to students. Students can learn better without going out. The teaching video can be played back for students to review teaching content whenever and wherever possible. Students do not have to worry about forgetting. Students are enabled to get tested and consolidate learning content more efficiently and quickly, and digest knowledge quickly. Teachers and students communicate face to face, and write and perform calculation on the blackboard at the same time. Students are taught step by step, and can understand even a very complex mathematical problem quickly.

The invention provides a control method and control device for a handheld holder. The control method comprises the following steps: step one, a current mode of a handheld holder is detected; step two,when the handheld holder is in a working mode, whether the handheld holder is at a folded position is detected; and if so, the handheld holder enters a standby mode; and step three, when the handheldholder is in the standby mode, whether the handheld holder is at a non-folded position is detected; and if so, the handheld holder enters a working mode. Execution of the step two and the step threeis performed without any sequence. With the control method, the user is able to operate the handheld holder quickly and conveniently without damaging the motor.

The invention discloses a method and system for call center service on the basis of hierarchical search. The method includes: extracting a first search work according to user information during telephone access; inputting a second search word according to a question asked by a user aiming at a telephone operator, and selecting a corresponding classificatory knowledge base according to a knowledge type of the second search word; searching the classificatory knowledge base according to the first search word and the second search word, obtaining a search result, and displaying the search result. In the method, the first search word is extracted according to the user information, the corresponding classificatory knowledge base is obtained according to the second search word input by the telephone operator, and the corresponding classificatory knowledge base is searched according to the first search word and the second search word, and search efficiency of a system can be improved greatly.

The embodiment of the invention relates to the technical field of information processing, and discloses a method and system for implementing question answering based on mobile equipment and a server. The method comprises the following steps: receiving questions to be answered which are sent by an application learning client by the server; detecting whether the questions to be answered exist in a question bank, if yes, then acquiring answering results matched with the questions to be answered from the question bank and returning the answering results to the application learning client, and if not, then searching whether the answering results matched with the questions to be answered exist from a network; if yes, then returning the answering results matched with the questions to be answered which are searched from the network to the application learning client; and if not, then pushing the questions to be answered to an on-line answering client, acquiring the answering results matched with the questions to be answered from the on-line answering client, and returning the answering results to the application learning client. The embodiment of the invention can improve the speed of answering questions and improve user experience through twice-matching, thereby improving user adhesion.

The invention discloses a sharing education operation system which comprises a learning user terminal, multiple teacher user terminals and a server. The learning user terminal is used for sending bookinformation, questions and position information of the questions in books, receiving all answer contents sent by the server and teacher user information corresponding to each answer content and selecting and checking at least one answer content, the teacher user terminals are used for receiving the questions sent by the server, an answer expecting request and answer contents of the questions sentby the server and receiving determination information for answering the questions and feedback information of the answer contents of the questions sent by the server, and the server comprises a firstcorrelation module, a retrieval module, a judgment module, a first sending module, a determining module, a second correlation module, a second sending module, a receiving module and a feedback module. By the sharing education operation system, education resources can be utilized effectively, learning cost is lowered, and learning efficiency is improved.

The invention discloses an insurance man-machine coupling customer service system and method based on artificial intelligence. The system comprises an artificial customer service selection unit, a voice recognition unit, a machine artificial intelligence coupling unit and a voice generation unit. The manual customer service selection unit is used for directly realizing chatting between the customer and the manual customer service; The voice recognition unit converts the voice information of the client into text information and outputs the text information; The machine artificial intelligence coupling unit receives the text information and the information of the manual customer service selection unit at the same time, chatting between a client and a manual customer service or intelligent generation of a natural answer text is achieved, and reinforcement learning of a machine is carried out. And the voice generation unit sends the input natural answer text to the voice synthesis engine,generates voice information and feeds the voice information back to the client. According to the invention, capabilities of pre-sales, after-sales consultation, product recommendation, common knowledge problems and the like can be provided for clients. And the advantages of high accuracy, quick response, high reliability, natural interaction and the like can be achieved at the same time.

The invention discloses a cross-language communication voice robot interaction method and a cross-language communication voice robot interaction device. The method comprises the steps of acquiring first voice information of an external interaction object; inputting the first voice information into a plurality of single language recognizers connected in parallel, and outputting a plurality of voicerecognition results; comparing each voice recognition result with a corpus of multiple languages respectively, calculating a plurality of likelihood probabilities of the multiple languages corresponding to each voice recognition result, and selecting a voice recognition result with the maximum likelihood probability value of the maximum likelihood probability from the voice recognition results asa voice recognition result of the first voice information according to the maximum likelihood probability corresponding to each voice recognition result; and outputting second voice information responding the first voice information according to the voice recognition result of the first voice information by adopting the language of the voice recognition result with the maximum probability value of the maximum likelihood probability. According to the method, a voice robot can realize the technical effects of quick response and answer under a cross-language communication scene.

The invention provides a tropical agriculture expert information management method and system, and the method comprises the steps that S1, a farmer inputs agricultural problem information through a client, and the client uploads the agricultural problem information to a server; S2, the server queries preset answering information and consultable expert information in a database based on the agricultural problem information, and sends the preset answering information and the consultable expert information to a client corresponding to the farmer user; S3, the farmer user judges whether to initiate an expert consultation request or not according to preset answering information and consultable expert information, and when the expert consultation request is initiated, the client sends the expert consultation request to the server; S4, the server sends a consultation appointment to the client of the corresponding expert user according to the expert consultation request, and the expert user communicates with the farmer user according to the consultation appointment, inputs problem solving experience into the client and uploads the problem solving experience to the server; S5, the server stores the problem solving experience into a database to serve as preset answering information.

The invention provides a customer pre-judgment method, which comprises the following steps of: when an incoming call of a customer is received, obtaining an incoming call number; obtaining a customerportrait of the customer according to the incoming call number; obtaining target burying point data of the client in a preset time period before the incoming call; pre-judging the demand of the customer according to the target burying point data; when it is detected that a customer service answers the incoming call within a preset time period after the incoming call, displaying customer verbal skills corresponding to the demand on a terminal of the customer service, and displaying a customer portrait of the customer. The invention further provides a customer pre-judgment device, a terminal anda storage medium. According to the invention, the customer demand is pre-judged according to the target burying point data of the customer, and the customer verbal skill corresponding to the customerdemand is displayed, so that the customer service staff can timely give a quick and accurate answer to the customer.

The invention discloses a soil fertility knowledge question-answering method, system and device based on a knowledge graph and a medium. The method comprises the following steps: triggering a question-answering task, wherein the question-answering task comprises inputting a natural language question in a soil fertility field; identifying the natural language question to obtain an entity and an entity attribute relationship in the natural language question; linking the entity and the entity attribute relationship to a pre-constructed soil fertility knowledge graph to obtain an attribute value or a relationship object of the entity and the entity attribute relationship in the soil fertility knowledge graph; and outputting a question and answer result, and outputting the attribute value or the relation object as the question and answer result of the question and answer task. According to the method, rapid reply of soil fertility related problems can be realized, and innovation of soil fertility knowledge organization and knowledge utilization modes in an artificial intelligence environment can be promoted.

The invention discloses a hazardous chemical substance information query method and device, electronic equipment and a medium. The hazardous chemical substance information query method comprises the steps of obtaining a hazardous chemical substance query request, and extracting a hazardous chemical substance name and problem content in the hazardous chemical substance query request; carrying out retrieval according to the dangerous chemical name, obtaining corresponding dangerous chemical information in a preset database, and obtaining corresponding index information stored in question and answer word segmentation index data; comparing the problem content with attribute names in the index information in sequence, and determining a target attribute name matched with the problem content fromthe attribute names; and obtaining the attribute content corresponding to the target attribute name, and returning the attribute content and the hazardous chemical substance information as the answerinformation of the hazardous chemical substance query request, so that the hazardous chemical substance question input by the user can be replied accurately and quickly, and the matching degree is high.

The invention relates to a method for processing errors that occur in a machine tool (1) and the error messages of which are stored in an error memory (29). According to the method, the errors stored in the error memory (29) or operating situations selected by the user are automatically stored together with their associated processing history and the stored error messages are read out from the error memory (29) by an error processing system (25) for the purpose of error processing. Error messages or operating situations selected by the user are stored in the error memory (29) of the tool machine (1) together with their associated processing history.

The invention discloses a legal consultation interaction method and device based on artificial intelligence, and a robot legal learning method. The legal consultation interaction method based on artificial intelligence comprises the following steps: acquiring legal consultation information sent by a user side; preprocessing the legal consultation information, and extracting a preset standard word;searching the specification words in a language package of a database, and judging whether the specification words exist in the language package of the database or not; when the specification words exist in the language package of the database, determining legal provisions and / or legal judgments mapped by the specification words according to a preset mapping relationship; and feeding back the determined legal provisions and / or legal judgments to the user side. The legal questions can be interacted with the user, and the legal questions raised by the user can be quickly and accurately answered.

The invention relates to the technical field of image recognition and medical treatment, and provides a PD-1 / PD-L1 pathological picture recognition method based on deep learning, which comprises the following steps: S1, constructing a deep residual network model; s2, acquiring a PD-1 / PD-L1 immunohistochemical staining picture which is subjected to artificial marking; s3, constructing a PD-1 / PD-L1 pathological staining picture recognition model on the deep residual network model by using an immunohistochemical staining picture; and S4, identifying the PD-1 / PD-L1 pathological picture of the patient to be detected by using the identification model. The invention further provides a corresponding PD-1 / PD-L1 pathological picture recognition device based on deep learning, computer equipment and a computer readable storage medium. The recognition model can replace manual judgment, and whether positive expression exists in the PD-1 / PD-L1 in the body of a patient or not is correctly, rapidly and stably judged.

The invention discloses an intelligent office equipment network sales platform. The system comprises a user information acquisition system, a management center and a sales quantity real-time monitoring module, wherein the output end of the user information acquisition system is connected with the input end of the central processing module, the output end of the central processing module is connected with the input end of the user information analysis system, and the output end of the user information analysis system is connected with the input end of the recommended product selection module. According to the intelligent office equipment network sales platform, personal information and historical consumption conditions of a user can be analyzed; analyzing user preferences, therefore, the products needing to be recommended to the user are analyzed, personalized recommendation of the products is carried out on the user, the accuracy and quality of product recommendation are improved to agreat extent, the inventory of the products can be well monitored, when the inventory of the products is insufficient, the management center can be informed in time, and the products can be taken offfrom the shelf quickly.

The invention discloses a language translation method and device and computer equipment, and the method comprises the steps of connecting with a plurality of pieces of terminal equipment, and obtaining a to-be-translated language of each piece of terminal equipment; receiving to-be-translated language information sent by first terminal equipment, translating the to-be-translated language information into a transfer language, wherein the transfer language is a preset language, the to-be-translated language information sent by different terminal equipment is translated into the transfer language, and the first terminal equipment is one of multiple pieces of terminal equipment; translating the transit language into first languages of to-be-translated languages corresponding to other terminaldevices except the first terminal device; and respectively sending each first language to the terminal equipment of the language to be translated corresponding to the language to which the first language belongs according to the language to which the first language belongs. Users corresponding to different languages can answer through the corresponding terminal devices, the translation efficiencyis greatly improved, the use experience of the users is improved, and the software calculation complexity and the software operation pressure are reduced.

The invention discloses a customer service system for electronic commerce, which comprises a client module, a data storage module, a problem similarity comparison module, an automatic customer servicemodule and a manual customer service module. The customer service of electronic commerce is realized through the connection between the modules. In the above way, the customer service system for electronic commerce of the invention can match the manual service and the automatic service according to the needs, so that the consumers of the consultation can obtain the answers more quickly, the costof the manual customer service can be greatly saved, and the very high response rate and the customer satisfaction degree can be guaranteed.

The invention provides a complaint processing method and device, electronic equipment and a storage medium, and the method is applied to a service end of customer service, and comprises the steps: receiving the number information of a complaint user and a complaint problem, inputting the number information of the complaint user into a preset complaint intelligent diagnosis system, the number information of the complaint user is obtained, a target splicing result corresponding to the number information of the complaint user is obtained, a complaint result corresponding to the complaint problem is determined according to the target splicing result, and the target splicing result is obtained by splicing a plurality of diagnostic analysis results. According to the complaint handling method provided by the invention, the complaint problem can be handled at a customer service front-line, unnecessary complaint order establishment is reduced, the working efficiency of customer service personnel is improved, a user can obtain a quick and efficient solution, and the user experience is improved.

The invention provides an intelligent automatic answering robot system. The system can identify sound information sent by different types of users, and can determine question content asked by the users at present without asking questions by the users according to a preset standard template. In addition, the system can drive a robot to move to the position area matched with the user according to the relative pose relation between the user and the robot, thereby guaranteeing that the robot can accurately and rapidly answer questions of the user, and improving the use experience of the user.

A learning interaction method and a learning client, the method comprising: the learning client detects first question information input by a student during the process of playing a teaching video; the learning client detects the student's current response to the teaching video; screenshot instruction of the screen, and screenshot the current screen to obtain a screenshot image; the learning client extracts a mathematical formula from the screenshot image; the learning client searches for the mathematical formula related to the first A knowledge point corresponding to question information; the learning client outputs the knowledge point to the student. Implementing the embodiment of the present invention can quickly and completely answer knowledge points related to mathematical formulas for students.

The invention relates to a large-scale graphic constraint linkage path searching algorithm in a high-dimensional vector space. The algorithm mainly includes the following steps of projection screening; dimensionality reduction deletion and selection; node deletion and selection; node subset high-dimensional spatial integration, wherein constraint linkage paths are output. By means of the algorithm, a node similarity linkage algorithm based on distance in the vector space is improved, a gridding technique and constraint linkage characters are introduced, a great quantity of invalid nodes are screened out, and the calculation complexity is reduced; a Map-Reduce framework is introduced into the algorithm, the path of each node is calculated by means of a four-stage deletion and selection strategy, an optional node set meeting the constraint conditions is found, a result set is called circularly to return to a reachable constraint path, unnecessary text copying costs and unnecessary path calculation costs are reduced, and the algorithm has high efficiency and a low error rate. Meanwhile, certain improvement and innovation are conducted on the algorithm during processing of the high-dimensional data space, unnecessary calculation processing is decreased through various dimension reduction means, the processing execution capability of the algorithm is improved, and therefore the algorithm can give answers and make responses to the questions of users more quickly.

Embodiments of the present invention provide a control method for a smart clean energy restaurant based on artificial intelligence. The control method includes: Step A: using a pressure sensor and an infrared sensor to detect the occupancy of table seats and obtain table occupancy information; Step B: The processing device generates the current real-time table status map and the availability rate of the restaurant from the table occupancy information; Step C: Displays the real-time table status map generated by the processing device and the availability rate of the restaurant to the user ; The control method adopts a smart clean energy restaurant's dining management system, which includes: a clean energy power generation system, multiple table sensing units, wireless communication units, restaurant occupancy detection devices, disposal devices, restaurant robots and restaurant drones. This system can optimize the dining experience, save time in finding a table, and improve the dining environment.

The invention provides an interaction information processing method, device and equipment and a storage medium, and the method comprises the steps: obtaining interaction information between a customer service and a user, and forming a text file according to the interaction information; generating a plurality of key value pairs according to the text file, wherein the key value pairs comprise questions and answers; according to the multiple key value pairs, determining multiple question and answer categories, wherein each question and answer category corresponds to at least one key value pair in the multiple key value pairs, and each key value pair corresponds to one question and answer category; performing deduplication processing on each key value pair under each question and answer category to obtain residual key value pairs under each question and answer category; and generating question answering information according to the remaining key-value pairs under each question and answer category. According to the scheme, the question answering information can be generated, so that the customer service can quickly answer the question inquired by the user by taking the generated question answering information as reference, and the customer service efficiency is improved.