Author:
Son Ha X.,Nguyen Triet M.,Vo Hong K.,Dang Khoa T.,Gia Khiem H.,Tran Nam B.,Khanh Bang L.,Nguyen Ngan T. K.
Publisher
Springer Nature Switzerland
Reference15 articles.
1. Akbar, M., et al.: Recommendation based on deduced social networks in an educational digital library. In: IEEE/ACM Joint Conference on Digital Libraries, pp. 29–38. IEEE (2014)
2. Almaghrabi, M., Chetty, G.: Deep machine learning digital library recommendation system based on metadata for Arabic and English languages. In: 2020 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), pp. 1–6. IEEE (2020)
3. Bulut, B., et al.: User’s research interests based paper recommendation system: a deep learning approach. In: Putting Social Media and Networking Data in Practice for Education, Planning, Prediction and Recommendation, pp. 117–130 (2020)
4. Heylighen, F., Bollen, J.: Hebbian algorithms for a digital library recommendation system. In: Proceedings of the International Conference on Parallel Processing Workshop, pp. 439–446. IEEE (2002)
5. Hu, J., et al.: Research on reading subject recommendation of library based on data analysis. J. Phys. Conf. Seri. 1607, 012022 (2020)