Research Paper Recommender Systems on Big Scholarly Data
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-319-97289-3_20
Reference20 articles.
1. Beel, J., et al.: Research-paper recommender systems: a literature survey. Int. J. Digit. Libr. 17(4), 305–338 (2016)
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3. Wu, Z., et al.: Towards building a scholarly big data platform: challenges, lessons and opportunities. In: Proceedings of the 14th ACM/IEEE-CS Joint Conference on Digital Libraries, London, United Kingdom, pp. 117–126. IEEE Press (2014)
4. Khan, S., et al.: A survey on scholarly data: From big data perspective. Inf. Process. Manag. 53(4), 923–944 (2017)
5. Xia, F., et al.: Big scholarly data: a survey. IEEE Trans. Big Data 3(1), 18–35 (2017)
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