A two-stage deep learning-based system for patent citation recommendation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11192-022-04301-0.pdf
Reference47 articles.
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3. Ali, Z., Qi, G., Muhammad, K., Kefalas, P., & Khusro, S. (2021). Global citation recommendation employing generative adversarial network. Expert Systems with Applications, 180, 114888.
4. An, X., Li, J., Xu, S., Chen, L., & Sun, W. (2021). An improved patent similarity measurement based on entities and semantic relations. Journal of Informetrics, 15(2), 101135.
5. Bhagavatula, C., Feldman, S., Power, R., & Ammar, W. (2018). Content-based citation recommendation. http://arXiv.org/08301
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