Catering for unique tastes: Targeting grey-sheep users recommender systems through one-class machine learning
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference61 articles.
1. Acosta, O. C., Behar, P. A., & Reategui, E. B. (2014). Content recommendation in an inquiry-based learning environment. Paper presented at the Frontiers in Education Conference (FIE).
2. Alabdulrahman, R., Viktor, H., & Paquet, E. (2016). An active learning approach for ensemble-based data stream mining. Paper presented at the Proceedings of the International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Porto, Portugal.
3. Alabdulrahman, R., Viktor, H., & Paquet, E. (2018). Beyond k-NN: Combining cluster analysis and classification for recommender systems. Paper presented at the 10th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2018), Seville, Spain.
4. One-class support vector machines for protein-protein interactions prediction;Alashwal;International Journal of Biological and Medical Sciences,2006
5. Amatriain, X., Jaimes, A., Oliver, N., & Pujol, J. M. (2011). Data mining methods for recommender systems. Paper presented at the Recommender systems handbook Boston, MA.
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