11 results about "Satisfaction rate" patented technology

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.

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.

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 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 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 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.

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.

The invention relates to the technical field of intelligent matching and recommendation of employment posts, in particular to an intelligent matching and recommendation method for employment posts in a large health industry, which comprises the following steps: collecting talent end data and post end data, the talent end data comprises resume information, online questionnaire survey data, interview audio and video data, past employer evaluation data, industry training records and physical examination report key indexes. According to the method, comprehensive coverage of hard indexes, soft features and dynamic requirements is achieved by constructing multi-dimensional portraits of talents and posts, the problem that a traditional method is single in matching dimension is solved, meanwhile, a two-way fitness calculation model and an improved stable matching algorithm are designed, the satisfaction degree of the talents to the posts is considered, and the matching precision is improved. And integrating degree and potential evaluation of enterprises to talents are also considered, so that the matching result is upgraded from qualified standard reaching to deep integrating, and the matching precision is greatly improved.