Research on Automatic Music Recommendation Algorithm Based on Facial Micro-expression Recognition

In recent years, with the development and application of big data, deep learning has received more and more attention. As a deep learning neural network, convolutional neural network plays an extremely important role in face image recognition. In this paper, a combination of micro-expression recognition technology of convolutional neural network and automatic music recommendation algorithm is developed to identify a model that recognizes facial micro-expressions and recommends music according to corresponding mood. The facial micro-expression recognition model established in this paper uses FER2013 with a recognition rate of 62.1%. After identifying the corresponding expression, a content-based music recommendation algorithm is used to extract the feature vector of the song and a cosine similarity algorithm is used to make the music recommendation. This research helps to improve the practicality of the music recommendation system, and the related results will also serve as a reference for the application of the music recommendation system in areas such as emotion regulation.