Research on Personalized Recommendation Based on Big Data Technology-Reference-Cited by-同舟云学术

Research on Personalized Recommendation Based on Big Data Technology

Published:2020-10-06 Issue: Volume: Page:240-247
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Li Jinhai,Qi Shichao,Chen Longfeng,Yan Hui

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-15-8462-6_28

Reference10 articles.

1. Yao, K., Tu, P., Chen, Y.X., Su, M.: Research on the effectiveness of personalized recommender system based on multi-source big data. J. Manage. Sci. 31(05), 3–15 (2018)

2. Liu, H.O., Chen, J., Sun, J.J., Zhang, Y.M.: Research on mobile digital library situational recommendation system oriented to big data. Lib. Work Study 1(9), 58–64 (2018)

3. Bao, Z.Q., Song, J.X.: Improved collaborative filtering recommendation algorithm based on association rules filling. Mod. Electron. Tech. 42(03), 78–81 + 86 (2019)

4. Huang, X.Y., Long, S.Y., Xie, J.: Collaborative filtering recommendation algorithm combined with user interest degree clustering. Appl. Res. Comput. 36(09), 2609–2612 + 2617 (2019)

5. He, R., Gonzalez, H.: Numerical synthesis of pontryagin optimal control minimizers using sampling-based methods. In: 2017 IEEE 56th Annual Conference on Decision and Control (CDC), pp. 733–738. IEEE, NJ, USA (2017)

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