In this study, we improved a similar music–recommendation method. A similar music recommendation method using the Spotify API was proposed as a music retrieval method. The baseline method computes the Euclidean distance between the audio features obtained from the Spotify API. In this method, the normalization of the obtained audio features and validation of the features used were insufficient. Therefore, in this study, we improved this method by adopting normalization, audio feature selection, and similarity computations based on cosine similarity. It was verified through experiments that the method of normalizing appropriate features by adopting the min–max method and computing similarity using the Euclidean distance was effective.