  Recently, the next-item/basket recommendation system, which considers the
sequential relation between bought items, has drawn attention of researchers.
The utilization of sequential patterns has boosted performance on several kinds
of recommendation tasks. Inspired by natural language processing (NLP)
techniques, we propose a novel neural network (NN) based next-song recommender,
CNN-rec, in this paper. Then, we compare the proposed system with several NN
based and classic recommendation systems on the next-song recommendation task.
Verification results indicate the proposed system outperforms classic systems
and has comparable performance with the state-of-the-art system.
