Multi-criteria Health Science Short Video Recommendation Inspired by Heuristic Optimization
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-60324-2_31
Reference16 articles.
1. Tan, Y., Geng, S., Chen, L., et al.: How doctor image features engage health science short video viewers? Investigating the age and gender bias. Ind. Manag. Data Syst. 123(9), 2319–2348 (2023)
2. Chiang, J.-H., Ma, C.-Y., Wang, C.-S., Hao, P.-Y.: An adaptive, context-aware, and stacked attention network-based recommendation system to capture users’ temporal preference. IEEE Trans. Knowl. Data Eng. 35(4), 3404–3418 (2023)
3. Geng, S., Tao, B., Liang, G., et al.: Temporal knowledge graph attention network for online doctor recommendation. In: Proceedings of the 2023 8th International Conference on Intelligent Information Processing, pp. 277–282 (2023)
4. Li, P., Tuzhilin, A.: Learning latent multi-criteria ratings from user reviews for recommendations. IEEE Trans. Knowl. Data Eng. 34(8), 3854–3866 (2022)
5. Geng, S., He, X., Wang, Y., et al.: Multicriteria recommendation based on bacterial foraging optimization. Int. J. Intell. Syst. 37(2), 1618–1645 (2022)
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