Publisher
Springer Nature Switzerland
Reference17 articles.
1. Adomavicius, G., Tuzhilin, A.: Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Trans. Knowl. Data Eng. 17(6), 734–749 (2005)
2. Boratto, L., Carta, S., Satta, M.: Groups identification and individual recommendations in group recommendation algorithms. In: CEUR Workshop Proceedings, pp. 27–34 (2010)
3. Boratto, L., Carta, S.: State-of-the-art in group recommendation and new approaches for automatic identification of groups. In: Soro, A., Vargiu, E., Armano, G., Paddeu, G. (eds.) Information Retrieval and Mining in Distributed Environments. Studies in Computational Intelligence, vol. 324, pp. 1–20. Springer, Heidelberg (2010). https://doi.org/10.1007/978-3-642-16089-9_1
4. Liu, H., et al.: Self-supervised learning for fair recommender systems. Appl. Soft Comput. 125, 109126 (2022)
5. SpringerBriefs in Electrical and Computer Engineering;A Felfernig,2018
Cited by
2 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
1. Approach of Item-Based Collaborative Filtering Recommendation Using Energy Distance;Journal of Advances in Information Technology;2024
2. Item-Based Energy Clustering Recommendation;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2024