38 results about "Satisfaction rate" patented technology

The invention relates to the field of artificial intelligence natural language processing technology, financial technology and medical technology, and discloses a user question recommendation method and device, electronic equipment and a readable storage medium, and the method comprises the following steps: preprocessing data in a knowledge base; searching the user question in a knowledge base based on the prefix tree, the semantic similarity and the keyword to obtain a combined search result; based on a multi-factor sorting method, determining a plurality of similar questions from the joint search result as matching questions; and generating a plurality of interest questions by adopting a large generative model and taking answers of the user questions and the matched questions as input, and selecting a plurality of interest questions from the interest questions based on semantic similarity to serve as recommendation results. According to the method, diversified search and generation technologies are organically combined, a brand-new question recommendation method is provided, the question recommendation accuracy is improved, and the experience feeling and satisfaction degree of a user are improved; the application scene is wide, and the practicability is high.

The invention discloses a patient medical satisfaction evaluation system based on big data, and relates to the technical field of big data analysis. The medical satisfaction evaluation system comprises a data acquisition and processing module, an evaluation index management module, a satisfaction questionnaire survey module, a multi-dimensional evaluation module, a satisfaction grading module and a service quality optimization module. According to the big data-based patient doctor-seeing satisfaction degree evaluation system, through real-time collection and analysis of patient satisfaction degree data including a medical quality evaluation index and a doctor-seeing experience evaluation index, registration waiting time, diagnosis and treatment waiting time and an endemic area environment score are monitored, service bottlenecks and patient dissatisfaction fields are rapidly identified, and the patient satisfaction degree evaluation efficiency is improved. The hospital can adjust resource distribution in time, the overall quality of medical services is evaluated through the patient complaint score and the doctor-patient communication transparency score, effective communication between doctors and patients is promoted, transparency is improved, and therefore the satisfaction degree and credibility of the patients for the medical services are improved.

The embodiment of the invention provides a satisfaction prediction model training method and device, a user satisfaction prediction method and device, equipment and a storage medium, and belongs to the technical field of financial science and technology and artificial intelligence. The satisfaction degree prediction model training method comprises the following steps: obtaining feedback data of a user for a claim settlement service; constructing at least two training sample sets according to the feedback data; training each base classifier of a satisfaction prediction model based on Stacking integration by using each training sample set, and obtaining a predicted satisfaction attribution probability output by each base classifier; and training a meta-classifier of the satisfaction prediction model based on Stacking integration by utilizing the prediction satisfaction attribution probability to obtain a trained satisfaction prediction model based on Stacking integration. According to the embodiment of the invention, the accuracy, efficiency and convenience of user satisfaction prediction can be improved.

The invention discloses a satisfaction assessment method and system based on multidimensional data fusion, and belongs to the technical field of satisfaction assessment, and the method specifically comprises the steps: obtaining multisource heterogeneous data, carrying out the preprocessing and feature extraction of the multisource heterogeneous data, and constructing a multimodal feature map with a timestamp, the method comprises the steps of scoring the current credibility of the multi-source heterogeneous data based on a credibility scoring strategy, generating a satisfaction expression vector based on a multi-modal characteristic spectrum and credibility scoring, generating quantized scoring values based on the satisfaction expression vector, and fusing all the quantized scoring values to obtain a satisfaction score. The generated quantized score value is obtained by the satisfaction expression vector through heterogeneous channel mapping, logic cluster scoring, symbol scoring sequence construction and decoding; the method effectively improves the evaluation precision of the complex user behavior state, and is suitable for various intelligent services and user feedback prediction scenes.

The present disclosure is directed to satisfaction surveys for measuring the presence of positive emotions and experiences, the absence of negative emotions and experiences, and identifies when users are getting what they need or want. More significantly, the survey gathers real-time data based on participant responses. Then, and before the survey ends, the system presents each participant with a happiness feeling that represents how it appears they feel (based on their unique responses to the Happiness Survey, for example). Survey participants are then asked if that is how they often feel, and if not, they may simply select a happiness feeling that matches how they actually feel. The result is a verified feeling.

The invention relates to a data detection method and device and a storage medium, and aims to perform anomaly detection on questionnaire data. The method comprises the following steps: acquiring target questionnaire data, wherein the target questionnaire data comprises target sub-satisfaction and target total satisfaction; inputting the target sub-satisfaction of the target questionnaire data into a target classification model to obtain a target classification result corresponding to the target questionnaire data, the target classification result being used for representing a classification probability corresponding to the predicted total satisfaction of the target questionnaire data; determining a first group corresponding to the target classification result and a second group corresponding to the target total satisfaction according to a preset grouping rule; and determining an anomaly detection result of the target questionnaire data according to the first group and the second group.

The invention relates to an object recommendation model training method and device, electronic equipment, a storage medium and a computer program product, and the method comprises the steps: obtaining account attribute information of a sample account and object attribute information of each sample object, inputting the sample account and an interaction history record between the sample account and each sample object into a to-be-trained object recommendation model to obtain predicted satisfaction information and predicted click information; inputting the account attribute information of the sample account and the object attribute information of each sample object into a pre-trained satisfaction model to obtain satisfaction information of the sample account corresponding to each sample object; the pre-trained satisfaction model is obtained by adopting account feedback data training; and according to the real click information, the predicted click information, the satisfaction information and the predicted satisfaction information of the sample account for each sample object, training a to-be-trained object recommendation model to obtain a trained object recommendation model. By adopting the method, the accuracy of object recommendation for the user can be improved.

The invention provides a voice question answering method, electronic equipment and a storage medium, and relates to the technical field of voice interaction. Inputting the first text data into a pre-trained user satisfaction estimation model to obtain a first estimated satisfaction score of the user on second voice data after the second text data fed back by inputting the first text data into a response server associated with the first field is converted into the second voice data to be played; and after third text data fed back by a response server associated with the second field is input into the second text data and is converted into third voice data to be played, the user scores the second pre-estimated satisfaction degree of the third voice data. And when the first pre-estimated satisfaction score is lower than the set score threshold and the second pre-estimated satisfaction score is greater than the first pre-estimated satisfaction score, switching the first text data to the response server associated with the second field, thereby ensuring effective switching of communication connection and saving computing resources.

This negotiation device comprises: an estimation means for referring to a proposal Xn -1 presented from a first negotiation subject to a second negotiation subject in an (n-1)th (where n is a natural number equal to or greater than 2) round, and estimating a satisfaction level function Sn (X) representing the satisfaction level of the second negotiation subject with respect to the proposal X; a setting means for setting an objective function Fn (X) that includes a profit function Y (X) representing the profit of the first negotiation subject with respect to the proposal X, and the satisfaction level function Sn (X) estimated by the estimation means; and a calculation means for using the objective function Fn (X) set by the setting means to calculate a proposal Xn to be presented from the first negotiation subject to the second negotiation subject in the n-th round.

A method and system for evaluating the satisfaction of elderly people's rehabilitation training, relating to the field of elderly care services, is applied to an elderly care service evaluation system. The method includes: acquiring training information of the target elderly people; matching the current training stage with a preset satisfaction evaluation index table to obtain multiple subjective evaluation items and multiple objective evaluation items; conducting a satisfaction survey of the target elderly people on the subjective and objective evaluation items to obtain multiple subjective satisfaction levels and multiple objective satisfaction levels; verifying the confidence levels of the multiple objective satisfaction levels using the multiple subjective satisfaction levels to obtain the confidence levels of the multiple objective evaluation items; normalizing the confidence levels of the multiple objective evaluation items to obtain the confidence weights of the multiple objective evaluation items; and weightedly fusing the objective satisfaction levels of the multiple objective evaluation items according to their confidence weights to obtain the target satisfaction level. This method solves the problem of the disconnect between the current satisfaction evaluation of elderly people's rehabilitation training and their subjective, essential experience.

We provide a program that selects improvement items according to the elapsed time based on the expectation and satisfaction level for each evaluation item. [Solution] A program that causes a computer to accumulate expectations and satisfaction levels based on user questionnaire responses over multiple time periods for each evaluation item displays a graph on the display consisting of an expectation axis and a satisfaction axis, and causes the computer to function as a graph display means that plots each evaluation item for each period based on expectations and satisfaction levels and connects the plots with arrows pointing over time, and an improvement item selection means that selects improvement items from among the multiple evaluation items based on the direction of the arrows.

The invention discloses a satisfaction assessment method which is used for solving the problems that in the prior art, when a questionnaire survey method is adopted to assess the satisfaction of disabled old people in the nursing process, the assessment efficiency is low, and the satisfaction assessment result is inaccurate. The method comprises the following steps: acquiring electroencephalogram signal data, heart rate variability information and a galvanic skin conduction level of a service object; inputting the electroencephalogram signal data, the heart rate variability information and the galvanic skin conduction level into a trained satisfaction evaluation model to output evaluated satisfaction; wherein the satisfaction evaluation model is obtained based on the electroencephalogram signal data sample, the heart rate variability information sample and the galvanic skin conduction level sample of the historical service object and the satisfaction training of the historical service object. The invention further discloses a satisfaction evaluation device, electronic equipment, a computer readable storage medium and a computer program product.

The invention relates to the field of text research data processing methods, in particular to a satisfaction data automatic processing method and system based on big data resources, and the method comprises the steps: obtaining satisfaction data; the data type of the satisfaction data is recognized, the data type comprises a digital type and a text type, and the satisfaction data is cleaned and analyzed according to the data type; modeling is carried out according to data types, data processing is carried out according to data of digital types through a general model, and sentiment analysis and sentiment mining are carried out according to data of text types; automatically analyzing relevance and trend in the satisfaction data, and outputting predicted user behaviors or satisfaction changes. According to the method, analysis errors caused by deviation of data are reduced, and an investigation result obtained through analysis can be more accurate.

The invention discloses a learning effect evaluation and talent screening method and system for interview candidates, and belongs to the field of artificial intelligence and human resources. The learning effect evaluation method comprises the steps of obtaining learning records of candidates for recommended learning resources, and evaluating the learning resource learning effect of the candidates by adopting a learning effect evaluation model. Wherein a knowledge half-life period tau skill and an anti-cheating attention gate are introduced into the learning effect evaluation model, so that assault learning and cheating can be creatively prevented, and a good score can be obtained; the assault cheating detection rate can be increased by 41%, and the recommendation satisfaction degree can be increased by 33%; according to the intelligent talent screening / culturing method and system, the three-dimensional hyperbolic space is fully utilized, and compared with traditional RL, the convergence step number is reduced by 38%, and the compensation period is reduced by 26%; through a federal-game mixed feedback mechanism, the uploaded data can be lt; 1 KB.

In the present invention, a satisfaction level collection unit collects information about the satisfaction levels of members belonging to an organization using each method of a plurality of methods having different degrees of psychological safety impact. An information management unit manages organizational information about the organization and attribute data of the members thereof. A psychological safety estimation unit estimates information about psychological safety corresponding to the satisfaction levels for each attribute using information about a plurality of satisfaction levels collected by the satisfaction level collection unit and attribute data acquired from the information management unit.

The invention discloses an AI-based multi-modal financial question and answer system and method, and relates to the technical field of financial question and answer data processing, and the system comprises a multi-modal input analysis module, a question and answer analysis module, an emotion perception module, a question and answer dynamic evaluation module, and a financial dynamic decision module. The emotion change of the user can be perceived in real time by analyzing the voice emotion characteristics and the text emotion keyword density, the emotion of the user may reflect important information such as anxiety to financial conditions and satisfaction to answers in a financial question and answer scene, task urgency degree evaluation is dynamically performed on question and answer, and based on various dynamic evaluation indexes, the user experience is improved. An evaluation strategy is adjusted in real time according to user behaviors and questioning characteristics, requirements of different users are better adapted, financial decision analysis is performed based on a task evaluation index and an emotion early warning index in combination with user identity permission, and the urgency degree of tasks, user emotion and permission of the users in financial decision are considered, so that the user experience is improved. And limitation of single-factor decision making is avoided.

The invention provides a user satisfaction determination method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the operation state of a to-be-evaluated system under the condition that the updating of the to-be-evaluated system is completed, and displaying a popup window interface in the operation interface of the to-be-evaluated system in a floating manner under the condition that the operation state is a operated state, a satisfaction questionnaire corresponding to the to-be-evaluated system is displayed in the pop-up window interface, and the satisfaction questionnaire comprises the steps of customizing a text input interface, obtaining a questionnaire result of a user for the satisfaction questionnaire, and determining satisfaction evaluation information of the user for the to-be-evaluated system according to the questionnaire result. The satisfaction questionnaire can be directionally sent to the user of the to-be-evaluated system, so that the satisfaction evaluation effect of the system can be improved.

Embodiments of the present disclosure disclose an information generation method, apparatus, electronic device, and computer-readable medium. A specific implementation of the method includes: obtaining a warehouse information set; determining an incremental item information set corresponding to each preset satisfaction rate in a preset satisfaction rate sequence to obtain an incremental item information set group; for each warehouse information in the warehouse information set, performing a value information generation step: for each support warehouse information in each support warehouse information, determining a transportation value information set and a support warehouse storage value information set; determining a warehouse storage value information set for storing each incremental item set in the warehouse corresponding to the warehouse information; optimizing each satisfaction rate parameter in the satisfaction rate optimization function model to generate a satisfaction rate corresponding to each warehouse information. The information generation method of this implementation can more accurately generate the satisfaction rate corresponding to each warehouse information.

The present disclosure is directed to satisfaction surveys for measuring the presence of positive emotions and experiences, the absence of negative emotions and experiences, and identifies when users are getting what they need or want. More significantly, the survey gathers real-time data based on participant responses. Then, and before the survey ends, the system presents each participant with a happiness feeling that represents how it appears they feel (based on their unique responses to the Happiness Survey, for example). Survey participants are then asked if that is how they often feel, and if not, they may simply select a happiness feeling that matches how they actually feel. The result is a verified feeling.

The present invention provides a data processing method, device and equipment to solve the problem that the existing method of obtaining user satisfaction scores through telephone surveys is easily affected by human factors, making the scores less objective. The method of the present invention includes: obtaining a first voice segment of an interviewee recorded in the satisfaction survey of a target issue and an initial satisfaction score given by the interviewee; performing emotion recognition on the first voice segment to obtain an emotional index of the interviewee, and the emotional index is used to reflect the emotional state of the interviewee; based on the emotional index, correcting the initial satisfaction score to obtain a final satisfaction score. The present invention can eliminate the influence of the interviewee's emotions on the satisfaction score, make the score more objective, and improve the accuracy and reliability of satisfaction survey data.

The invention discloses a strategy generation method and device based on financial business questions and answers, equipment, a medium and a product, and is applied to the technical field of finance. The method comprises the steps of determining a to-be-analyzed user communication record of a target user, performing feature analysis on the to-be-analyzed user communication record, and determining a target keyword and user demand information; determining a target intention prediction model according to the user demand information; determining user intention information based on a target intention prediction model according to the target keyword; and generating a user response strategy according to the user intention information, and sending the user response strategy to a financial business question and answer interface of the target user. According to the technical scheme, the user intention information can be determined through the to-be-analyzed user communication record, the user response strategy is generated, the efficiency and accuracy of financial feature analysis on the user are improved, and the effectiveness of a financial service strategy provided for the user and the satisfaction degree of the user are improved.

The invention provides an instance performance determination method and device, equipment, a storage medium and a program product, at least one instance runs in a host machine, the method comprises the steps that the resource scheduling satisfaction rate of a target instance in the at least one instance in a preset period is determined, and the resource scheduling satisfaction rate is used for representing that the target instance is scheduled by the host machine according to a scheduling algorithm; scheduling the satisfaction degree of the processor core resources for the target instance; the hyper-thread HT satisfaction rate of the target instance in the preset period is determined, and the HT satisfaction rate is used for representing the actual degree of using the processor core resources by the target instance when the processor core corresponding to the target instance starts the hyper-thread; and determining the operation performance of the target instance in the preset period according to the resource scheduling satisfaction rate and the HT satisfaction rate. And the accuracy of determining the operation performance of the target instance is improved.

This invention discloses an attribution method, apparatus, device, medium, and product for session satisfaction. The method includes: determining the session satisfaction of the session data to be tested based on the session data to be tested and a pre-trained session satisfaction model; determining the influence weight of each sentence in the session data to be tested on the session satisfaction based on the session satisfaction model; filtering the session data to be tested based on the influence weight of each sentence to obtain at least two filtered sentences; determining a target satisfaction factor for each filtered sentence based on the at least two filtered sentences and a pre-trained satisfaction factor model; and determining the attribution data corresponding to the session data to be tested based on the influence weight of the at least two filtered sentences and the target satisfaction factor. This method solves the problem of unclear guidance direction of attribution data leading to scattered optimization resources and improves the optimization efficiency of session service quality.

The application provides a hospital satisfaction survey method, device, medium and program product. First, patient basic information and patient questionnaire information are collected, so that the patient complaint probability and complaint items are predicted based on the collected patient basic information and patient questionnaire information by using a neural network model. Then, the predicted complaint situation and the actual complaint situation are comprehensively predicted, and the satisfaction survey questionnaire items are optimized. In one aspect, the application generates a predicted virtual complaint form by machine learning technology, so that the relevant functional departments can intervene in advance, and the patient satisfaction is improved. In another aspect, the questionnaire items of the subsequent diagnosis and treatment stage can be adaptively optimized and adjusted according to the past complaint situation of each patient, so that a professional, concise and reliable satisfaction survey questionnaire can be developed for different patients, the traditional survey questionnaire is avoided to be formalistic, and the effectiveness of the survey questionnaire is improved.

The embodiment of the invention relates to an information processing method and device, equipment and a storage medium. The method comprises the steps of displaying a satisfaction page of a target session in response to an information viewing operation; displaying satisfaction detail information of the target session in a satisfaction page, wherein the satisfaction detail information comprises at least one satisfaction level and factor information of a target influence factor corresponding to the satisfaction level; wherein the satisfaction detail information is obtained by performing data analysis on session data of the target session; the session data at least comprises performance data and abnormal data which are obtained in the life cycle of the target session and correspond to the target session; the factor information is used for representing the influence degree of the target influence factor on classification of the target session into the satisfaction level. In this way, the universality of user satisfaction measurement is improved, and more objective and accurate user satisfaction data reference is provided for related personnel more quickly and efficiently.

The utility model discloses a statistical device for satisfaction survey, which relates to the technical field of satisfaction survey statistics and comprises a box body, a display screen is mounted at the rear of the top end of the box body, a first channel is arranged in the front of the inner side of the box body, and an infrared counter is embedded below the inner wall of the first channel. Second channels are formed in the two sides of the front portion of the interior of the box body, spiral pieces are arranged on the inner sides of the second channels, rotating shafts are connected to the middles of the spiral pieces, and motors are installed at the bottom ends of the rotating shafts. According to the utility model, through the arrangement of the first channels, the infrared counter and the display screen, people can carry out satisfaction voting operation according to the four groups of first channels and the content displayed by the labels corresponding to the first channels, after plastic balls are put in, the plastic balls slide down along the first channels, and light at the infrared counter can be shielded; therefore, one-time counting work is completed, and statistical work of satisfaction survey is completed.

The invention belongs to the technical field of production plan scheduling, and discloses a production plan scheduling method and system of an MES system. The method comprises the following steps: preprocessing production order data to generate a comprehensive scheduling value priority sequence; based on the comprehensive scheduling value priority sequence, compatibility combination groups are sequentially obtained, a scheduling scheme population is constructed, multi-objective evolution fitness is calculated based on the delivery time satisfaction rate, the switching cost, the work-in-process turnover time and the repair risk index, non-dominated sorting, congestion distance evaluation, selection, intersection and mutation operation are executed, and an optimal scheduling scheme is generated; verifying the optimal scheduling scheme, and generating a verification passing scheme set and a verification failing scheme set; if the verification is not passed, returning to re-optimize, and if the verification is not passed, generating a scheduling instruction and issuing and executing the scheduling instruction; the production scheduling accuracy is improved, the order response period is shortened, and the process switching burden is reduced.

The present invention discloses a device scheduling method, apparatus, computer equipment and readable storage medium, the method comprising: defining device state parameters and continuously tracking and recording the actual value of each state parameter; establishing a mapping relationship between part features and state parameters of a part; defining a part feature baseline and an associated satisfaction rate function of a part based on the part features of the part; assigning a task strategy to each task; estimating the state parameters of the device after executing the task based on the current state parameters of the device and the task requirements; screening out devices whose estimated state parameters meet the mandatory strategy to obtain the remaining devices; obtaining a satisfaction rate function based on the compliance strategy; inputting the values ​​of the state parameters of the remaining devices into the satisfaction rate function to obtain the satisfaction value of each device; sorting the satisfaction values ​​of each device, and selecting the corresponding device to execute the task according to the sorted order. The present invention realizes decentralized management of equipment through the above method and extends the overall service life of core components.

The present disclosure is an evaluation device that evaluates the level of satisfaction a person belonging to a predetermined organization has with the organization, the evaluation device comprising: an acquisition unit that acquires posted information indicating the content of postings to a community site within the predetermined organization; an item extraction unit that performs sentence delimitation on the posted information by natural language processing, and extracts, from each sentence delimited by the sentence delimitation, items relating to a satisfaction level and being set according to evaluation items on a job search site; an emotion type derivation unit that analyzes the emotion type of each delimited sentence by emotion analysis through natural language processing, and derives the number of occurrences of each emotion type for each item relating to the satisfaction level; and a satisfaction level score calculation unit that calculates a score for each emotion type for each item relating to the satisfaction level, on the basis of the number of occurrences of each emotion type for each item relating to the satisfaction level, and calculates a satisfaction level score, which is the sum of the calculated scores.

This disclosure relates to systems and methods for managing patients of knee surgeries. A pre-operative patient questionnaire user interface is associated with a future knee operation of the patient. Patient input data is indicative of answers of a patient in relation to the pre-operative patient questionnaire. A processor of a computer system evaluates a statistical model to determine a predicted satisfaction value indicative of satisfaction of the patient with the future knee operation. The statistical model comprises nodes stored on data memory representing the patient input data and the predicted satisfaction value, and edges stored on data memory between the nodes representing conditional dependencies between the patient input data and the predicted satisfaction value. The processor then generates an electronic document comprising a surgeon report associated with the future knee operation to indicate to the surgeon the predicted satisfaction value.