Enhancing Book Recommendations on GoodReads: A Data Mining Approach Based Random Forest Classification
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-54376-0_36
Reference26 articles.
1. Mathew, P., Kuriakose, B., Hegde, V.: Book recommendation system through content based and collaborative filtering method. In: 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE), pp 47–52 (2016)
2. Najafabadi, M.K., Mohamed, A.H.J., Mahrin, M.N.: A survey on data mining techniques in recommender systems. Soft. Comput. 23, 627–654 (2019). https://doi.org/10.1007/s00500-017-2918-7
3. Mhammedi, S., Gherabi, N., El Massari, H., Amnai, M.: Enhancing recommendation system using ontology-based similarity and incremental SVD prediction. Recent Adv Comput Sci Commun 16, 67–76 (2023)
4. Mhammedi, S., El Massari, H., Gherabi, N.: Improving scalability of recommendation system using ontology and dimensionality reduction techniques. AIP Conf. Proc. 2814, 020007 (2023). https://doi.org/10.1063/5.0149217
5. Mhammedi, S., El Massari, H., Gherabi, N., Amnai, M.: CF recommender system based on ontology and nonnegative matrix factorization (NMF). In: Farhaoui, Y., Rocha, A., Brahmia, Z., Bhushab, B. (eds.) Artificial Intelligence and Smart Environment, pp. 313–318. Springer, Cham (2023). https://doi.org/10.1007/978-3-031-26254-8_44
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