Book Recommendation System (BRS) Using Collaboration Filtering Machine Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-65203-5_85
Reference10 articles.
1. Xu, Y., Yau, J.C., Reich, S.M.: Press, swipe and read: do interactive features facilitate enga ment and learning with e‐books? J. Comput. Assisted Learn. https://doi.org/10.1111/jcal.12480
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3. Khanal, S.S., Prasad, C., Alsadoon, A., Maag, A.: A systematic review: machine learning based recommendation systems for e-learning. Educ. Inf. Technol. (2019). https://doi.org/10.1007/s10639-019-10063-9
4. Vanitha, Y., Vivek, V., Tahkur, R.: Book recommender SYSTEM. Int. Res. J. Mod. Eng. Technol. Sci. (2022). https://doi.org/10.56726/irjmets-ncascte202227
5. Bhavitha, B.K., Rodrigues, A.P., Chiplunkar, N.: Comparative study of machine learning techniques in sentimental analysis. ResearchGate; unknown (2017). https://www.researchgate.net/publication/318474768_Comparative_study_of_machine_learning_techniques_in_sentimental_analysis
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