Enterprise training course intelligent diagnosis recommendation system fused with deep learning

By integrating deep learning into the intelligent diagnostic and recommendation system for corporate training courses, precise matching of course resources is achieved, solving the problems of low utilization rate of course resources and insufficient learning enthusiasm in traditional training models, and meeting the personalized and efficient needs of corporate training.

CN122364550APending Publication Date: 2026-07-10GUANGDONG RUIYUN TECHNOLOGY DEVELOPMENT CO LTD
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Patent Information

Authority / Receiving Office
CN Β· China
Patent Type
Applications(China)
Current Assignee / Owner
GUANGDONG RUIYUN TECHNOLOGY DEVELOPMENT CO LTD
Filing Date
2026-04-17
Publication Date
2026-07-10

AI Technical Summary

Technical Problem

Traditional training models struggle to achieve precise matching of course resources, and existing technologies cannot meet the personalized and customized needs of corporate training.

Method used

The intelligent diagnostic and recommendation system for enterprise training courses, which integrates deep learning, includes modules for multi-dimensional collection of course data, extraction of learner behavior features, intelligent diagnosis of training needs, deep learning course matching, and dynamic optimization of recommendation results. Through multi-dimensional data collection, feature extraction, and deep learning algorithms, a multi-dimensional matching model is constructed, and iterative adjustments are made in conjunction with real-time feedback data to optimize the recommendation results.

Benefits of technology

It achieves precise matching of course resources, improves the utilization rate of training resources, enhances learner enthusiasm, analyzes learner behavior, improves learner enthusiasm, enhances the utilization rate of training resources, meets the personalized and efficient needs of corporate training, and provides personalized and efficient training solutions.

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Abstract

The application discloses a fusion enterprise training course intelligent diagnosis recommendation system of deep learning, including: including: course data multidimensional acquisition module, student behavior characteristic extraction module, training demand intelligent diagnosis module, deep learning course matching module, recommended result dynamic optimization module, system running state monitoring module; through multidimensional acquisition of internal and external courses and student behavior data, deep pattern and preference are mined through feature extraction, knowledge short board and potential demand are determined through hierarchical analysis of the training demand intelligent diagnosis module, a multidimensional correlation model is constructed through the deep learning course matching module to realize accurate matching, the recommended result dynamic optimization module is combined to iteratively adjust the scheme according to real-time feedback, and the system running state monitoring module guarantees stable and efficient operation of each link. The system effectively improves recommendation accuracy and dynamic adaptability, improves training resource utilization, and meets the personalized and efficient demand of enterprise talent training.
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