A Dynamic Collaborative Recommendation Method Based on Multimodal Fusion
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-5663-6_1
Reference22 articles.
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2. Sungjune, K., Seongjun, Y., Jongwuk, L., et al.: Self-supervised Multimodal Graph Convolutional Network for collaborative filtering. Inf. Sci. 653, 119760 (2024)
3. Da’u, A., Salim, N.: Recommendation system based on deep learning methods: a systematic review and new directions. Artific. Intell. Rev. 53(4), 2709–2748 (2020)
4. Wu, Y., Macdonald, C., Ounis, I.: Personalised multi-modal interactive recommendation with hierarchical state representations. ACM Trans. Recomm. Syst. (2024)
5. Shamshiri, A., Ryu, K.R., Park, J.Y.: Text mining and natural language processing in construction. Autom. Constr. 158, 105200 (2024)
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