Multi-task recommendation based on dynamic knowledge graph
Author:
Funder
National Natural Science Foundation of China
Liaoning Education Department Scientific Research Project
Liaoning Provincial Department of Education Surface Project
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10489-024-05548-1.pdf
Reference46 articles.
1. Wang Q, Mao Z, Wang B, Guo L (2017) Knowledge graph embedding: A survey of approaches and applications. IEEE Trans Knowl Data Eng 29(12):2724–2743
2. Sang L, Xu M, Qian S, Wu X (2021) Knowledge graph enhanced neural collaborative recommendation. Expert Syst Appl 164:113992
3. Wang H, Zhao M, Xie X, Li W, Guo M (2019) Knowledge graph convolutional networks for recommender systems. In: The world wide web conference, pp 3307–3313
4. Guo Q, Zhuang F, Qin C, Zhu H, Xie X, Xiong H, He Q (2020) A survey on knowledge graph-based recommender systems. IEEE Trans Knowl Data Eng 34(8):3549–3568
5. Zhang F, Yuan NJ, Lian D, Xie X, Ma W-Y (2016) Collaborative knowledge base embedding for recommender systems. In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, pp 353–362
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