Efficient and adaptive secure cross-domain recommendations
-
Published:2024-12
Issue:
Volume:258
Page:125154
-
ISSN:0957-4174
-
Container-title:Expert Systems with Applications
-
language:en
-
Short-container-title:Expert Systems with Applications
Author:
Liu HongORCID, He Jian, Xu Zhu, Zhang YushuORCID, Zhao Zhiqiang
Reference49 articles.
1. SimGNN: A neural network approach to fast graph similarity computation;Bai,2019 2. Bi, Y., Song, L., Yao, M., Wu, Z., Wang, J., & Xiao, J. (2020a). DCDIR: A deep cross-domain recommendation system for cold start users in insurance domain. In Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval (pp. 1661–1664). 3. Bi, Y., Song, L., Yao, M., Wu, Z., Wang, J., & Xiao, J. (2020b). A heterogeneous information network based cross domain insurance recommendation system for cold start users. In Proceedings of the 43rd international ACM SIGIR conference on research and development in information retrieval (pp. 2211–2220). 4. Secure federated matrix factorization;Chai;IEEE Intelligent Systems,2021 5. Chen, C., Liu, Z., Zhao, P., Zhou, J., & Li, X. (2018). Privacy preserving point-of-interest recommendation using decentralized matrix factorization. vol. 32, In Proceedings of the AAAI conference on artificial intelligence.
|
|