A Knowledge Graph Enhanced Topic Modeling Approach for Herb Recommendation
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Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-18576-3_42
Reference20 articles.
1. Ji, W., Zhang, Y., Wang, X., et al.: Latent semantic diagnosis in traditional Chinese medicine. World Wide Web 20(5), 1071–1087 (2017)
2. Yao, L., Zhang, Y., Wei, B., et al.: A topic modeling approach for traditional Chinese medicine prescriptions. IEEE Trans. Knowl. Data Eng. 30(6), 1007–1021 (2018)
3. Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993–1022 (2003)
4. Das, R., Zaheer, M., Dyer, C.: Gaussian LDA for topic models with word embeddings. In: Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers), vol. 1, pp. 795–804 (2015)
5. Yu, T., Li, J., Yu, Q., et al.: Knowledge graph for TCM health preservation: design, construction, and applications. Artif. Intell. Med. 77, 48–52 (2017)
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