Author:
Panteli Antiopi,Kompothrekas Aristotelis,Halkiopoulos Constantinos,Boutsinas Basilis
Publisher
Springer International Publishing
Reference21 articles.
1. Antiopi, P., & Basilis, B. (2019). Improvement of similarity-diversity trade-off in recommender systems based on a facility location model, 2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA), Patras, Greece, 2019, pp. 1–7. https://doi.org/10.1109/IISA.2019.8900661.
2. Boutsinas, B., Siotos, C., & Gerolymatos, A. (2008). Distributed mining of association rules based on reducing the support threshold. International Journal on Artificial Intelligence Tools, World Scientific Publishing Company, 17(6), 1109–1129.
3. Bradley, K., & Smyth, B. (2001). Improving recommendation diversity. In Proceedings of the Twelfth Irish Conference on Artificial Intelligence and Cognitive Science, Maynooth, Ireland (pp. 85–94).
4. Bridge, D., Göker, M. H., McGinty, L., & Smyth, B. (2005). Case-based recommender systems. The Knowledge Engineering Review, 20(3), 315–320.
5. Cooley, R., Mobasher, B., & Srivastava, J. (1997, November). Web mining: Information and pattern discovery on the world wide web. In Proceedings Ninth IEEE International Conference on Tools with Artificial Intelligence (pp. 558–567). IEEE.
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