Publisher
Springer International Publishing
Reference16 articles.
1. Amatriain, X.: Past present, and future of recommender systems: an industry perspective. In: International Conference on Intelligent User Interfaces, Boston, USA, pp. 211–214 (2016)
2. Yang, D.: Research and implementation of recommendation system based on educational resources. University of Electronic Science and Technology of China (2017)
3. Yongjun, W., Dongdong, W., Jian, W., Lijun, T.: Research on personalized recommendation of educational resources under spark platform. Intell. Comput. Appl. 7(02), 25–30 (2017)
4. Kim, S.-C., Sung, K.-J., Park, C.-S.: Improvement of collaborative filtering using rating normalization. Multimed. Tools Appl. 75(9), 4957–4968 (2016)
5. Cui, B., Jin, H., Liu, Z.: Improved collaborative filtering with intensity based contraction. J. Ambient. Intell. Hum. Comput. 6(5), 661–674 (2015)
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