An Intelligent Recommendation System for Performance Equipment Operation and Maintenance via Deep Neural Network and Attention Mechanism

The theater has a huge number and variety of performing arts equipment, so the artificial maintenance will take a great time and energy. How to reduce the cost of manual maintenance is particularly important. This paper proposes an intelligent recommendation system for performance equipment operation and maintenance based on deep learning network and attention mechanism. First, according to the research main goal, the performance equipment is used to construct dataset and a preprocess scheme is adopted for the raw data, then we use the deep neural network to train the feature data, and integrate the attention mechanism into the recommendation system. Attention mechanism can increase attention to important information. Finally, through the cosine similarity between the calculated features, the recommended results are generated. An illustrative example is given to show the effectiveness of main results.