Author:
Alshammari Gharbi,Jorro-Aragoneses Jose L.,Kapetanakis Stelios,Polatidis Nikolaos,Petridis Miltos
Publisher
Springer International Publishing
Reference28 articles.
1. Abdollahpouri, H., Burke, R., Mobasher, B.: Value-aware item weighting for long-tail recommendation. arXiv preprint (2018).
arXiv:1802.05382
2. Alshammari, G., Jorro-Aragoneses, J.L., Kapetanakis, S., Petridis, M., Recio-García, J.A., Díaz-Agudo, B.: A hybrid cbr approach for the long tail problem in recommender systems. In: International Conference on Case-Based Reasoning, pp. 35–45. Springer (2017)
3. Alshammari, G., Kapetanakis, S., Polatidis, N., Petridis, M.: A triangle multi-level item-based collaborative filtering method that improves recommendations. In: International Conference on Engineering Applications of Neural Networks, pp. 145–157. Springer (2018)
4. Anderson, C.: The long tail: why the future of business is selling less of more by Chris Anderson. J. Prod. Innovation Manag. 24(3), 1–30 (2007)
5. Ayub, M., Ghazanfar, M.A., Maqsood, M., Saleem, A.: A jaccard base similarity measure to improve performance of cf based recommender systems. In: 2018 International Conference on Information Networking (ICOIN), pp. 1–6. IEEE (2018)
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献