References
[1]. Aggarwal, C., 2018. Recommender System: The Textbook. SPRINGER.
[2]. Rajaraman, A.; Ullman, J.D. (2011). ”Data Mining” (PDF). Mining of Massive Datasets. pp. 1–17.
[3]. Lin, W.-C., Tsai, C.-F. and Chen, H. (2022) “Factors affecting text mining based stock prediction: Text feature representations, Machine Learning Models, and news platforms,” Applied Soft Computing, 130, p. 109673.
[4]. Galluccio, L. et al. (2012) “Graph based K-means clustering,” Signal Processing, 92(9), pp. 1970–1984.
[5]. MacKay, David (2003). ”Chapter 20. An Example Inference Task: Clustering” (PDF). Information Theory, Inference and Learning Algorithms. Cambridge University Press. pp. 284–292.
[6]. van der Maaten, Laurens & Hinton, Geoffrey. (2008). Viualizing data using t-SNE. Journal of Machine Learning Research. 9. 2579-2605.
[7]. Blei, David M.; Ng, Andrew Y.; Jordan, Michael I (January 2003). Lafferty, John (ed.). ”Latent Dirichlet Allocation”. Journal of Machine Learning Research. 3 (4–5): pp. 993–1022.
[8]. Tan, P., Steinbach, M., Karpatne, A. and Kumar, V., 2005. Introduction to data mining. p.500.
[9]. John S. Breese; David Heckerman & Carl Kadie (1998). Empirical analysis of predictive algorithms for collabo- rative filtering. In Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence.
[10]. Afoudi, Y., Lazaar, M. and Al Achhab, M. (2021) “Hybrid recommendation system combined content-based filtering and collaborative prediction using Artificial Neural Network,” Simulation Modelling Practice and Theory, 113, p. 102375.
[11]. Zhang, Y., Liu, Z. and Sang, C. (2021) “Unifying paragraph embeddings and neural collaborative filtering for hybrid recommendation,” Applied Soft Computing, 106, p. 107345.
Cite this article
Meng,Z. (2023). Research on two popular recommendation algorithms for anime. Applied and Computational Engineering,6,1430-1438.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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References
[1]. Aggarwal, C., 2018. Recommender System: The Textbook. SPRINGER.
[2]. Rajaraman, A.; Ullman, J.D. (2011). ”Data Mining” (PDF). Mining of Massive Datasets. pp. 1–17.
[3]. Lin, W.-C., Tsai, C.-F. and Chen, H. (2022) “Factors affecting text mining based stock prediction: Text feature representations, Machine Learning Models, and news platforms,” Applied Soft Computing, 130, p. 109673.
[4]. Galluccio, L. et al. (2012) “Graph based K-means clustering,” Signal Processing, 92(9), pp. 1970–1984.
[5]. MacKay, David (2003). ”Chapter 20. An Example Inference Task: Clustering” (PDF). Information Theory, Inference and Learning Algorithms. Cambridge University Press. pp. 284–292.
[6]. van der Maaten, Laurens & Hinton, Geoffrey. (2008). Viualizing data using t-SNE. Journal of Machine Learning Research. 9. 2579-2605.
[7]. Blei, David M.; Ng, Andrew Y.; Jordan, Michael I (January 2003). Lafferty, John (ed.). ”Latent Dirichlet Allocation”. Journal of Machine Learning Research. 3 (4–5): pp. 993–1022.
[8]. Tan, P., Steinbach, M., Karpatne, A. and Kumar, V., 2005. Introduction to data mining. p.500.
[9]. John S. Breese; David Heckerman & Carl Kadie (1998). Empirical analysis of predictive algorithms for collabo- rative filtering. In Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence.
[10]. Afoudi, Y., Lazaar, M. and Al Achhab, M. (2021) “Hybrid recommendation system combined content-based filtering and collaborative prediction using Artificial Neural Network,” Simulation Modelling Practice and Theory, 113, p. 102375.
[11]. Zhang, Y., Liu, Z. and Sang, C. (2021) “Unifying paragraph embeddings and neural collaborative filtering for hybrid recommendation,” Applied Soft Computing, 106, p. 107345.