Research paper recommender system based on public contextual metadata
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/s11192-020-03642-y.pdf
Reference34 articles.
1. Agarwal, N., Haque, E., Liu, H., & Parsons, L. (2005). Research paper recommender systems: A subspace clustering approach. Paper presented at the International Conference on Web-Age Information Management, 11–13 October, 2005 Hangzhou, China.
2. Antenucci, S., Boglio, S., Chioso, E., Dervishaj, E., Kang, S., Scarlatti, T., & Dacrema, M. F. (2018). Artist-driven layering and user’s behaviour impact on recommendations in a playlist continuation scenario. In Proceedings of the ACM recommender systems challenge 2018 (pp. 1–6).
3. Asabere, N. Y., Xia, F., Meng, Q., Li, F., & Liu, H. (2015). Scholarly paper recommendation based on social awareness and folksonomy. International Journal of Parallel, Emergent and Distributed Systems, 30(3), 211–232.
4. Beel, J., Gipp, B., Langer, S., & Breitinger, C. (2016). Research-paper recommender systems: A literature survey. International Journal on Digital Libraries, 17(4), 305–338.
5. Chen, T. T., & Lee, M. (2018). Research paper recommender systems on big scholarly data. Paper presented at the Pacific Rim Knowledge Acquisition Workshop.
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