In today’s world, due to the rapid growth in music tracks via both offline and online and give better access to automatically classify its genre and based on that the recommendation for another song will impact a great experience to the user. So, this paper has proposed a system that uses deep learning approach for performing genre classification on the song and based on that the song will be recommended by using word2vec. For classification, it is important to obtain a large collection and index the songs accordingly to their genre and with the help of skip gram model, it will identify the similar context song for recommendation. So, the proposed system works as a whole music recommendation system for delivering great experience at user side.