Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2016 | arXiv: Information Retrieval | Recommender system,Data mining,Information retrieval,Computer science,Artificial intelligence,Artificial neural network,Machine learning |
DocType | Volume | Citations |
Journal | abs/1606.07722 | 0 |
PageRank | References | Authors |
0.34 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai-Chun Hsu | 1 | 0 | 0.68 |
| Szu-Yu Chou | 2 | 49 | 6.82 |
| Yi-Hsuan Yang | 3 | 1022 | 84.71 |
| Tai-Shih Chi | 4 | 82 | 17.79 |