5 results about "Usage model" patented technology

Methods and systems for AI-based robotic automation for persuasive referrals are provided. In a novel aspect, a robotic persuasive referral is generated based on a potential customer product-service P_PS matrix, which is generated based on predictive analysis using a DNN model and dynamically obtained feedback. In one embodiment, the DNN model is trained using customer personal profiles for associated product and service PS revenue for each customer dataset. In one embodiment, the predictive analysis uses a decision tree classifier. In one embodiment, a computer system detects one or more predefined trigger events including feedback information for the robotic persuasive referral and one or more predefined life event, updates the P_PS matrix and the robotic persuasive referral accordingly. In one embodiment, the feedback information is sentiment analysis of responses from potential customers. In another embodiment, proximate cause, frequency, and page view analysis are performed based on one or more detected life events.

The invention relates to the technical field of configuration power supplies, in particular to a distribution box configuration power supply analysis model construction method and system based on multiple working conditions, and the method comprises the steps: dividing configuration power supply working condition data, obtaining a multi-working-condition data set, sequentially extracting a target data set from the multi-working-condition data set, and executing the following operations, obtaining an identification working condition label and an identification data set based on the target data set, sequentially extracting identification data, and executing the following operations: obtaining rated data and use data contained in the identification data, obtaining an aging model based on the use data, obtaining a use model based on the aging model, summarizing the use model, and obtaining a use model set, and based on rated data in the use model set, recursive operation is performed on the use model set, a recursive use model sequence is obtained, a multi-working-condition query table is obtained, and construction of the distribution box configuration power supply analysis model based on the multiple working conditions is completed according to the multi-working-condition query table. According to the invention, the performance analysis and model construction of the multi-working-condition configuration power supply can be realized.

An audio processing circuit includes an audio front end (AFE) configured to generate audio data in response to audio signals received from one or more microphones. One or more special purpose engines (SPEs) are configured to: generate prediction data via a usage model; generate bias adjustment data based on the prediction data; adjust a threshold of an audio event recognition engine based on the prediction data; and determine, via the audio event recognition engine and based on audio data, when an audio event is detected.

The invention provides a use data analysis method and system for rental vehicles, and the method comprises the steps: carrying out the space-time marking of historical vehicle use data distributed at different rental points, constructing a space-time data matrix and a space weight matrix, and generating a historical vehicle use data set; identifying a spatial clustering mode and spatial heterogeneity features based on a historical vehicle use data set, and constructing a spatial dependency network of the use behaviors of the rented vehicles; according to the spatial dependency network, parametric modeling is carried out on spatial autocorrelation in the historical vehicle use data, and a spatial autocorrelation correction use model is established; and based on the spatial autocorrelation correction usage model, predicting vehicle demands of the rental sites, and generating a vehicle allocation strategy considering mutual influence between the rental sites. According to the invention, by introducing the space metering method, the space autocorrelation in the use data of the rented vehicle is effectively identified and corrected, and the vehicle demand prediction precision and the deployment decision reasonability are improved.

A method and system for generating content by using a model, and a cluster are provided and may be applied to the field of cloud computing technologies. The method includes: A client receives a content generation instruction sent by a user, where the content generation instruction instructs a model to generate target content based on an intention of the user. The client inputs the content generation instruction into a first module, to enable the first module to output an intermediate result of generating the target content by the model. A serving end receives the intermediate result sent by the client, and inputs the intermediate result into a second module, to enable the second module to output the target content. The serving end sends the target content to the client. The method can prevent a cloud from obtaining sensitive information of the user in the content generation instruction, and protecting information security of the user.