Publisher
Springer Science and Business Media LLC
Subject
Library and Information Sciences,Computer Science Applications,General Social Sciences
Reference42 articles.
1. Afzal, M. T., Kulathuramaiyer, N., & Maurer, H. A. (2007). Creating links into the future. Journal of Universal Computer Science, 13(9), 1234–1245.
2. Amami, M., Pasi, G., Stella, F., & Faiz, R. (2016). An lda-based approach to scientific paper recommendation. In International conference on applications of natural language to information systems (pp. 200–210). Springer.
3. Beel, J., Langer, S., Genzmehr, M., Gipp, B., Breitinger, C., & Nürnberger, A. (2013). Research paper recommender system evaluation: A quantitative literature survey. In Proceedings of the international workshop on reproducibility and replication in recommender systems evaluation, RepSys ’13 (pp. 15–22). New York: ACM.
https://doi.org/10.1145/2532508.2532512
.
4. Beel, J., Langer, S., Genzmehr, M., & Nürnberger, A. (2013). Introducing docear’s research paper recommender system. In Proceedings of the 13th ACM/IEEE-CS joint conference on Digital libraries (pp. 459–460). ACM.
5. Bertin, M., Atanassova, I., Lariviere, V., & Gingras, Y. (2013). The distribution of references in scientific papers: An analysis of the IMRAD structure. In Proceedings of the 14th ISSI conference (Vol. 591, p. 603).
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