Analisis Kinerja Sistem Rekomendasi Film Berbasis Deep Learning Menggunakan Model Neural Network Pada Dataset Movielens
Main Article Content
Sistem rekomendasi merupakan salah satu peran penting yang digunakan untuk membantu pengguna dalam menemukan konten yang sesuai dengan preferensi mereka di tengah-tengah banyaknya informasi yang tersedia. Penelitian ini bertujuan untuk menganalisis kinerja sebuah sistem informasi film yang berbasis Deep Learning dengan model Neural Network pada dataset MovieLens. Model Neural Network dirancang untuk mempelajari hubungan kompleks antara pengguna dan film dengan memanfaatkan fitur-fitur seperti embedding pengguna dan film, serta lapisan dense untuk memprediksi rating. Penelitian ini menunjukkan bahwa sistem rekomendasi berbasis Deep Learning performa lebih baik dibandingkan metode traditional. Penelitian ini berkontribusi dalam memberikan wawasan tentang penerapan deep learning untuk sistem rekomendasi dan dapat menjadi dasar pengembangan sistem rekomendasi yang lebih cerdas dan adaptif di masa depan.
Keywords:
sistem rekomendasi;, deep learning;, neural network;, MovieLens
Aggarwal, C. C. (2016). Recommender Systems: The Textbook. Springer.
Az Zayyad, M. R., & Kurniawardhani, A. (2019). Penerapan Metode Deep Learning Pada Sistem Rekomendasi Film. Jurnal Automata, Universitas Islam Indonesia.
B. Wang, "Ranking Evaluation Metrics For Recommender Systems," 18 January 2021. [Online]. Available: Https://Towardsdatascience.Com/Ranking-Evaluation-Metrics-For-Recommender-Systems-263d0a66ef54.
Chen, W., Cai, F., Chen, H., & De Rijke, M. (2019). Joint Neural Collaborative Filtering For Recommender Systems. Makalah Ini Mengusulkan Metode J-Ncf Yang Menggabungkan Pembelajaran Fitur Mendalam Dan Pemodelan Interaksi Mendalam Untuk Meningkatkan Kinerja Sistem Rekomendasi.
D. Sanjaya, "Prediksi Pencapaian Target Kerja Menggunakan Metode Deep Learning Dan Data Envelopment Analysis," Jurnal Teknik Informatika, Vol. 6, 2020. Doi: Https://Doi.Org/10.28932/Jutisi.V6i2.2678
Dacrema, M. F., Boglio, S., Cremonesi, P., & Jannach, D. (2019). Are We Really Making Much Progress? A Worrying Analysis Of Recent Neural Recommendation Approaches. Proceedings Of The 13th Acm Conference On Recommender Systems, 101-109. Makalah Ini Menganalisis Efektivitas Pendekatan Rekomendasi Berbasis Neural Network Dan Membandingkannya Dengan Metode Tradisional.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. Mit Press.
H. And N. Suryana, "Deep Learning For Recommender System Based On Application Domain Classification Perspective: A Review," Journal Of Theoretical And Applied Information Technology, Vol. 96, 2018.
H. H. Arfisko, "Sistem Rekomendasi Film Menggunakan Metode Hybrid Collaborative Filtering Dan Content-Based Filtering," E-Proceeding Of Engineering, Vol. 9, 2022.
Hanafi, N., Suryana, N., & Basari, A. S. H. (2018). Deep Learning For Recommender System Based On Application Domain Classification Perspective: A Review. Journal Of Theoretical And Applied Information Technology, 96(14), 4567-4578.
Hasan, M., Hasan, T., Roy, F., & Jamal, L. (2019). A Comprehensive Collaborative Filtering Approach Using Extended Matrix Factorization And Autoencoder In Recommender System. Journal Of Information And Communication Technology, 18(2), 234-245.
He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T. S. (2017). Neural Collaborative Filtering. Proceedings Of The 26th International Conference On World Wide Web, 173-182. Penelitian Ini Memperkenalkan Model Neural Collaborative Filtering (Ncf) Yang Menggabungkan Interaksi Non-Linear Antara Pengguna Dan Item Untuk Meningkatkan Akurasi Rekomendasi.
I. Cholissodin, Ai, Machine Learning & Deep Learning (Teori & Implementasi), Malang: Universitas Brawijaya, 2020.
I. Dwicahya, "Perbandinngan Sistem Rekomendasi Film Metode User-Based Dan Item- Based Collaborative Filtering.," 2018.
I. Taufik, "Peran Artificial Intelligence Dalam Inovasi Digital Marketing," Prosiding Seminar Nasional Ilmu Manajamen, Ekonomi, Keuangan Dan Bisnnis, Vol. 2, 2023. Doi : Https://Doi.Org/10.55927/Snimekb.V2i1.4602
Kaushik, A., Gupta, S., & Bhatia, M. (2018). A Movie Recommendation System Using Neural Networks. International Journal Of Computer Applications, 182(23), 25-30.
Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques For Recommender Systems. O'reilly Media.
Kumar, P., & Thakur, M. (2020). Deep Learning Techniques For Movie Recommendation System: A Review. Journal Of King Saud University - Computer And Information Sciences. Studi Ini Meninjau Berbagai Teknik Deep Learning Yang Digunakan Dalam Sistem Rekomendasi Film, Dengan Fokus Pada Dataset Movielens.
Kuo, R. J., & Chen, J. T. (2020). An Application Of Differential Evolution Algorithm-Based Restricted Boltzmann Machine To Recommendation Systems. Applied Soft Computing, 92, 106-123.
Lee, H., & Lee, J. (2018). Scalable Deep Learning-Based Recommendation Systems. Ieee Transactions On Big Data, 5(4), 567-578.
M. Khoali, "Advanced Recommendation Systems Through Deep Learning," International Conferences On Networking, Information Systems & Security, 2020. Doi:10.1145/3386723.3387870
Musto, C., Franza, T., Semeraro, G., De Gemmis, M., & Lops, P. (2018). Deep Content-Based Recommender Systems Exploiting Recurrent Neural Networks And Linked Open Data. Information Systems, 75, 64-78.
R., K., Kumar, P., & Bhasker, B. (2019). Dnnrec: A Novel Deep Learning Based Hybrid Recommender System. Expert Systems With Applications, 125, 356-370.
Ricci, F., Rokach, L., & Shapira, B. (2015). Recommender Systems Handbook (2nd Ed.). Springer.
Shuai Zhang, "Deep Learning Based Recommender System: A Survey And New Perspectives," Acm Computing Surveys, Vol. 52, No. 1, Pp. 1-38, 2018. Https://Doi.Org/10.1145/3285029
Wei, J., He, J., Chen, K., Zhou, Y., & Tang, Z. (2016). Collaborative Filtering And Deep Learning Based Recommendation System For Cold Start Items. Expert Systems With Applications, 69, 29-39.
X. Jiang And H. Wang, "Mnn: A Universal And Efficient Inference Engine," Proceedings Of Machine Learning And Systems 2, 2020. Doi:10.48550/Arxiv.2002.12418
Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep Learning Based Recommender System: A Survey And New Perspectives. Acm Computing Surveys, 52(1), 1-38. Artikel Ini Menyajikan Survei Komprehensif Tentang Penerapan Deep Learning Dalam Sistem Rekomendasi, Termasuk Model Dan Teknik Terbaru.
Az Zayyad, M. R., & Kurniawardhani, A. (2019). Penerapan Metode Deep Learning Pada Sistem Rekomendasi Film. Jurnal Automata, Universitas Islam Indonesia.
B. Wang, "Ranking Evaluation Metrics For Recommender Systems," 18 January 2021. [Online]. Available: Https://Towardsdatascience.Com/Ranking-Evaluation-Metrics-For-Recommender-Systems-263d0a66ef54.
Chen, W., Cai, F., Chen, H., & De Rijke, M. (2019). Joint Neural Collaborative Filtering For Recommender Systems. Makalah Ini Mengusulkan Metode J-Ncf Yang Menggabungkan Pembelajaran Fitur Mendalam Dan Pemodelan Interaksi Mendalam Untuk Meningkatkan Kinerja Sistem Rekomendasi.
D. Sanjaya, "Prediksi Pencapaian Target Kerja Menggunakan Metode Deep Learning Dan Data Envelopment Analysis," Jurnal Teknik Informatika, Vol. 6, 2020. Doi: Https://Doi.Org/10.28932/Jutisi.V6i2.2678
Dacrema, M. F., Boglio, S., Cremonesi, P., & Jannach, D. (2019). Are We Really Making Much Progress? A Worrying Analysis Of Recent Neural Recommendation Approaches. Proceedings Of The 13th Acm Conference On Recommender Systems, 101-109. Makalah Ini Menganalisis Efektivitas Pendekatan Rekomendasi Berbasis Neural Network Dan Membandingkannya Dengan Metode Tradisional.
Goodfellow, I., Bengio, Y., & Courville, A. (2016). Deep Learning. Mit Press.
H. And N. Suryana, "Deep Learning For Recommender System Based On Application Domain Classification Perspective: A Review," Journal Of Theoretical And Applied Information Technology, Vol. 96, 2018.
H. H. Arfisko, "Sistem Rekomendasi Film Menggunakan Metode Hybrid Collaborative Filtering Dan Content-Based Filtering," E-Proceeding Of Engineering, Vol. 9, 2022.
Hanafi, N., Suryana, N., & Basari, A. S. H. (2018). Deep Learning For Recommender System Based On Application Domain Classification Perspective: A Review. Journal Of Theoretical And Applied Information Technology, 96(14), 4567-4578.
Hasan, M., Hasan, T., Roy, F., & Jamal, L. (2019). A Comprehensive Collaborative Filtering Approach Using Extended Matrix Factorization And Autoencoder In Recommender System. Journal Of Information And Communication Technology, 18(2), 234-245.
He, X., Liao, L., Zhang, H., Nie, L., Hu, X., & Chua, T. S. (2017). Neural Collaborative Filtering. Proceedings Of The 26th International Conference On World Wide Web, 173-182. Penelitian Ini Memperkenalkan Model Neural Collaborative Filtering (Ncf) Yang Menggabungkan Interaksi Non-Linear Antara Pengguna Dan Item Untuk Meningkatkan Akurasi Rekomendasi.
I. Cholissodin, Ai, Machine Learning & Deep Learning (Teori & Implementasi), Malang: Universitas Brawijaya, 2020.
I. Dwicahya, "Perbandinngan Sistem Rekomendasi Film Metode User-Based Dan Item- Based Collaborative Filtering.," 2018.
I. Taufik, "Peran Artificial Intelligence Dalam Inovasi Digital Marketing," Prosiding Seminar Nasional Ilmu Manajamen, Ekonomi, Keuangan Dan Bisnnis, Vol. 2, 2023. Doi : Https://Doi.Org/10.55927/Snimekb.V2i1.4602
Kaushik, A., Gupta, S., & Bhatia, M. (2018). A Movie Recommendation System Using Neural Networks. International Journal Of Computer Applications, 182(23), 25-30.
Koren, Y., Bell, R., & Volinsky, C. (2009). Matrix Factorization Techniques For Recommender Systems. O'reilly Media.
Kumar, P., & Thakur, M. (2020). Deep Learning Techniques For Movie Recommendation System: A Review. Journal Of King Saud University - Computer And Information Sciences. Studi Ini Meninjau Berbagai Teknik Deep Learning Yang Digunakan Dalam Sistem Rekomendasi Film, Dengan Fokus Pada Dataset Movielens.
Kuo, R. J., & Chen, J. T. (2020). An Application Of Differential Evolution Algorithm-Based Restricted Boltzmann Machine To Recommendation Systems. Applied Soft Computing, 92, 106-123.
Lee, H., & Lee, J. (2018). Scalable Deep Learning-Based Recommendation Systems. Ieee Transactions On Big Data, 5(4), 567-578.
M. Khoali, "Advanced Recommendation Systems Through Deep Learning," International Conferences On Networking, Information Systems & Security, 2020. Doi:10.1145/3386723.3387870
Musto, C., Franza, T., Semeraro, G., De Gemmis, M., & Lops, P. (2018). Deep Content-Based Recommender Systems Exploiting Recurrent Neural Networks And Linked Open Data. Information Systems, 75, 64-78.
R., K., Kumar, P., & Bhasker, B. (2019). Dnnrec: A Novel Deep Learning Based Hybrid Recommender System. Expert Systems With Applications, 125, 356-370.
Ricci, F., Rokach, L., & Shapira, B. (2015). Recommender Systems Handbook (2nd Ed.). Springer.
Shuai Zhang, "Deep Learning Based Recommender System: A Survey And New Perspectives," Acm Computing Surveys, Vol. 52, No. 1, Pp. 1-38, 2018. Https://Doi.Org/10.1145/3285029
Wei, J., He, J., Chen, K., Zhou, Y., & Tang, Z. (2016). Collaborative Filtering And Deep Learning Based Recommendation System For Cold Start Items. Expert Systems With Applications, 69, 29-39.
X. Jiang And H. Wang, "Mnn: A Universal And Efficient Inference Engine," Proceedings Of Machine Learning And Systems 2, 2020. Doi:10.48550/Arxiv.2002.12418
Zhang, S., Yao, L., Sun, A., & Tay, Y. (2019). Deep Learning Based Recommender System: A Survey And New Perspectives. Acm Computing Surveys, 52(1), 1-38. Artikel Ini Menyajikan Survei Komprehensif Tentang Penerapan Deep Learning Dalam Sistem Rekomendasi, Termasuk Model Dan Teknik Terbaru.
