Funder
Key Technologies Research and Development Program
National Natural Science Foundation of China
Natural Science Foundation of Guangdong Province
Publisher
Springer Science and Business Media LLC
Reference33 articles.
1. Adomavicius G, Tuzhilin A (2005) Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions. IEEE Transact Knowl Data Eng 17(6):734–749. https://doi.org/10.1109/TKDE.2005.99
2. Ammad-ud-din M, Ivannikova E, Khan SA, Oyomno W, Fu Q, Tan KE, Flanagan A (2019) Federated collaborative filtering for privacy-preserving personalized recommendation system. CoRR abs/1901.09888, arXiv:1901.09888
3. Anelli VW, Deldjoo Y, Noia TD, Ferrara A, Narducci F (2021) Federank: user controlled feedback with federated recommender systems. In: Hiemstra D, Moens M, Mothe J, Perego R, Potthast M, Sebastiani F (eds) Advances in information retrieval - 43rd European Conference on IR Research, ECIR 2021, Virtual Event, March 28 - April 1, 2021, Proceedings, Part I, Springer, Lecture Notes in Computer Science, vol 12656, pp 32–47, https://doi.org/10.1007/978-3-030-72113-8_3
4. Balabanovic M, Shoham Y (1997) Fab: content-based, collaborative recommendation. Commun ACM 40:66–72
5. Basu C, Hirsh H, Cohen W (1998) Recommendation as classification: using social and content-based information in recommendation. In: In Proceedings of the Fifteenth National Conference on Artificial Intelligence, AAAI Press, pp 714–720
Cited by
15 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