Using autoencoders for session-based job recommendations
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Education
Link
http://link.springer.com/content/pdf/10.1007/s11257-020-09269-1.pdf
Reference76 articles.
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3. Abel, F., Deldjoo, Y., Elahi, M., Kohlsdorf, D.: Recsys challenge 2017: offline and online evaluation. In: Proceedings of the Eleventh ACM Conference on Recommender Systems, pp. 372–373 (2017)
4. Adomavicius, G., Kwon, Y.: Improving aggregate recommendation diversity using ranking-based techniques. IEEE Trans. Knowl. Data Eng. 24(5), 896–911 (2012)
5. Aggarwal, C.C.: Evaluating recommender systems. In: Recommender Systems, pp. 225–254. Springer (2016)
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