Research on a New Power System Achievement Retrieval and Recommendation System Based on Deep Learning

Addressing the challenge of traditional methods in handling big data and providing precise information in power systems, this study develops a novel power system achievement retrieval and recommendation system leveraging deep learning. The system enhances traditional methods with user behavior-based algorithms, a new deep learning model for efficient literature search, and unsupervised clustering for faster sorting. It integrates user patterns for personalized recommendations, improving retrieval efficiency, accuracy, and user service in tracking power system advancements.