[1] P. Oyewole, “TensorFlow Recommenders for Highly effective Advice System,” Medium. [Online]. Accessible: https://medium.com/@pauloyc/tensorflow-recommenders-for-powerful-recommendation-system-e3dec138a07f.
[2] Predictive Hacks, “Content material-Based mostly Recommender Techniques with TensorFlow Recommender,” Predictive Hacks. [Online]. Accessible: https://predictivehacks.com/content-based-recommender-systems-with-tensorflow-recommender/.
[3] Predictive Hacks, “Content material-Based mostly Recommender Techniques in TensorFlow and BERT Embeddings,” Predictive Hacks. [Online]. Accessible: https://predictivehacks.com/content-based-recommender-systems-in-tensorflow-and-bert-embeddings/.
[4] M. Ahyar, “Implementation of Machine Studying on Digital Content material Filtering,” Journal of Utilized Engineering and Technological Science (JAETS), vol. 4, no. 1, pp. 12–21, 2023. [Online]. Accessible: https://journal.yrpipku.com/index.php/jaets/article/view/1925.
[5] A. Kumar, R. Singh, and A. Bhattacharya, “A Hybrid Deep Studying Framework for Advice Techniques,” arXiv preprint arXiv:2303.11746, 2023. [Online]. Accessible: https://arxiv.org/abs/2303.11746.
[6] BuiltIn, “TF-IDF: Definition, Examples, and Use Circumstances,” BuiltIn. [Online]. Accessible: https://builtin.com/articles/tf-idf.
[7] M. S. Khan, M. R. Choudhury, and A. H. Kabir, “A Survey on Recommender Techniques and Deep Studying,” Data Sciences, vol. 442, pp. 230–256, 2018. [Online]. Accessible: https://www.sciencedirect.com/science/article/abs/pii/S0020025518306431.
[8] D. Daimari, S. Mondal, B. Brahma, and A. Nag, “Favourite e-book prediction system utilizing machine studying algorithms,” Journal of Utilized Engineering and Technological Science (JAETS), vol. 4, no. 2, pp. 983–991, 2023. [Online]. Accessible: https://doi.org/10.37385/jaets.v4i2.12459.
