Funder
Fundamental Research Funds for the Central Universities
Reference46 articles.
1. Learning heterogeneous knowledge base embeddings for explainable recommendation;Ai;Algorithms,2018
2. Cai, X., Huang, C., Xia, L., & Ren, X. (2023). LightGCL: Simple Yet Effective Graph Contrastive Learning for Recommendation. In The eleventh international conference on learning representations.
3. Chen, T., He, X., & Kan, M.-Y. (2016). Context-aware image tweet modelling and recommendation. In Proceedings of the 24th ACM international conference on multimedia (pp. 101–1027).
4. MMALFM: Explainable recommendation by leveraging reviews and images;Cheng;ACM Transactions on Information Systems (TOIS),2019
5. Fu, W., Peng, Z., Wang, S., Xu, Y., & Li, J. (2019). Deeply fusing reviews and contents for cold start users in cross-domain recommendation systems. Vol. 33, In Proceedings of the AAAI conference on artificial intelligence (01), (pp. 94–101).
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