Publisher
Springer International Publishing
Reference48 articles.
1. Quadrana, M., Cremonesi, P., & Jannach, D. (2018). Sequence-aware recommender systems. ACM Computing Surveys (CSUR), 51(4), 66.
2. Witten, I. H., Frank, E., Hall, M. A., & Pal, C. J. (2016). Data mining: Practical machine learning tools and techniques. Cambridge, MA: Morgan Kaufmann.
3. Yu, Z., Xu, H., Yang, Z., & Guo, B. (2016). Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints. IEEE Transactions on Human-Machine Systems, 46(1), 151–158.
4. Tarus, J. K., Niu, Z., & Kalui, D. (2018). A hybrid recommender system for e-learning based on context awareness and sequential pattern mining. Soft Computing, 22(8), 2449–2461.
5. Kumar, P., & Thakur, R. S. (2018). Recommendation system techniques and related issues: A survey. International Journal of Information Technology, 10(4), 495–501.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献