3results about How to "Break down information barriers" patented technology

The application provides an artificial intelligence-based call center data analysis method, and relates to the field of call center data processing.The method collects real-time call audio and pre-processes it, extracts mel-frequency spectrum features and text data with timestamps;uses an analysis model integrating acoustic layer, text layer, cross-modal fusion layer and multi-task analysis head layer to obtain multi-dimensional analysis results such as emotional state, service compliance, service quality score and customer intent.In model training, an adversarial gradient reversal layer and an acoustic environment discriminator are introduced to eliminate environmental noise interference, and a timing risk encoder and a contrast learning are used to enhance the risk evolution capture capability.Based on the analysis results, a comprehensive risk index is calculated, an intervention strategy is matched and real-time pushing is performed, and a comprehensive analysis report is generated after the call is completed.The application realizes cross-environment adaptive purification and multi-modal fusion analysis, effectively improving the service quality monitoring and risk early warning efficiency of the call center.

This invention provides a method, apparatus, device, and storage medium for recommending technologies that link supply and demand. The method includes: obtaining technical information from technology suppliers through a patent trading platform; constructing a technology library based on the technical information, which includes patent application texts, application dates, and IPC classification numbers; obtaining demand information from technology demanders through the patent trading platform and classifying the demands, with each demand classification associated with the IPC classification number; filtering technical information in the technology library according to set conversion criteria to obtain technologies to be converted; classifying the technologies to be converted based on the IPC classification number to generate a list of technologies to be converted, and pushing this list to the technology demanders corresponding to the demand categories associated with the IPC classification numbers. This invention can break down information barriers between patent technology suppliers and demanders, enabling targeted recommendations of patent technologies, improving patent transfer efficiency, and meeting the needs of both parties.

This application discloses a process time prediction method and related apparatus, relating to the field of iron and steel smelting. This application obtains the steelmaking parameter set, refining parameter set, and continuous casting parameter set corresponding to the three processes of steelmaking, refining, and continuous casting for the target steel grade. The semantic vector of the target steel grade is obtained collaboratively based on the gradients of the steelmaking model, refining model, and continuous casting model, which can integrate the process semantic information of the three processes. The steelmaking parameter set, refining parameter set, and continuous casting parameter set, along with the semantic vector of the target steel grade, are respectively input into pre-constructed steelmaking, refining, and continuous casting time prediction models. This achieves accurate matching between the model corresponding to each process and its own process characteristics, allowing each model to focus on capturing the unique and most critical process features of the corresponding process without needing to learn complex hybrid mapping functions. This effectively avoids the internal logic confusion caused by a single model predicting the time of multiple processes, significantly improving the accuracy of time prediction for each process in steelmaking, refining, and continuous casting.