Solo Culinary Recommendation System Use Web-Based Collaborative Filtering Method
DOI:
https://doi.org/10.52435/jaiit.v6i2.578Keywords:
Collaborative Filtering, Culinary Recommendations, Recommendation System, Solo, Solo CulinaryAbstract
The development of a culinary recommendation system for the city of Solo through the utilization of collaborative filtering techniques is outlined in this investigation. This approach was selected based on its capacity to enhance user preferences through comparison with individuals sharing similar values. The dataset utilized in this study comprises feedback from users and evaluations of restaurants obtained from Google Maps. Collaborative filtering methodologies, particularly those centered on users, are employed to construct recommendation frameworks that offer personalized and pertinent advice to users. The initial phase of system development involved aggregating data from Google rankings and implementing a recommendation model. Findings from this research indicate that the system effectively delivers precise culinary suggestions, thereby facilitating users in discovering suitable dining options in Solo. The anticipated outcome of implementing this system is to bolster the promotion of local culinary specialties, enhance the culinary tourism experience, and contribute positively to the local economy of Solo. This study offers insights into the application of collaborative filtering and underscores the significance of recommendation technologies in enhancing the quality of culinary experiences and user satisfaction.
References
C. Suryadi, R. Intan, and H. Juwiantho, “Sistem Rekomendasi Tempat Makan Wilayah Solo Raya Berbasis Web dengan User Based Collaborative Filtering Menggunakan Fuzzy Conditional Probability Relation,” J. Infra, vol. 9, no. 2, pp. 179–184, 2021.
A. E. Wijaya and D. Alfian, “Sistem Rekomendasi Laptop Menggunakan Collaborative Filtering Dan Content-Based Filtering,” J. Comput. Bisnis, vol. 12, no. 1, pp. 11–27, 2018.
H. Hartatik, S. D. Nurhayati, and W. Widayani, “Sistem Rekomendasi Wisata Kuliner di Yogyakarta dengan Metode Item-Based Collaborative Filtering,” J. Autom. Comput. Inf. Syst., vol. 1, no. 2, pp. 55–63, 2021.
I. G. A. G. A. Kadyanan, “Perancangan Sistem Rekomendasi dalam Industri Kuliner di Bali,” J. Ilm. ILMU Komput. Univ. Udayana, vol. 10, no. 1, 2017.
R. S. R. Rakasiwi, “Sistem Rekomendasi Wisata Kuliner Kota Malang Dengan Metode Collaborative Filtering Dan Location Based Filtering,” J. Repos., vol. 2, no. 12, 2020.
R. A. Rizkie and M. Fachurrozi, “Sistem Rekomendasi Wisata Kuliner Kota Palembang Menggunakan Metode Collaborative Filtering,” Generic, vol. 12, no. 1, pp. 1–3, 2020.
A. A. P. Devi, “Rancang Bangun Recommender System dengan Menggunakan Metode Collaborative Filtering untuk Studi Kasus Tempat Kuliner di Surabaya,” 2015.
M. Irfan and A. D. Cahyani, “Sistem Rekomendasi: Buku Online Dengan Metode Collaborative Filtering,” J. Teknol. Technoscientia, pp. 76–84, 2014.
V. L. Jaja, B. Susanto, and L. R. Sasongko, “Penerapan Metode Item-Based Collaborative Filtering Untuk Sistem Rekomendasi Data MovieLens,” d’CARTESIAN J. Mat. dan Apl., vol. 9, no. 2, pp. 78–83, 2020.
F. Nugroho and M. I. Rahayu, “Sistem Rekomendasi Produk Ukm Di Kota Bandung Menggunakan Algoritma Collaborative Filtering,” J. Ris. Sist. Inf. dan Teknol. Inf., vol. 2, no. 3, pp. 23–31, 2020.
K. H. Muliadi and C. C. Lestari, “Rancang Bangun Sistem Rekomendasi Tempat Makan Menggunakan Algoritma Typicality Based Collaborative Filtering.,” Techno. Com, vol. 18, no. 4, 2019.
A. H. Ritdrix and P. W. Wirawan, “Sistem Rekomendasi Buku Menggunakan metode item-based collaborative filtering.” Universitas Diponegoro, 2018.
B. S. Fitrianti, M. Fachurrozi, and N. Yusliani, “Sistem Rekomendasi Artikel Ilmiah Berbasis Web Menggunakan Content-based Learning dan Collaborative Filtering,” Generic, vol. 10, no. 1, pp. 17–23, 2018.
S. A. Zulvian, K. Prihandan, and A. A. Ridha, “Perbandingan Metode MSD dan Cosine Similarity pada Sistem Rekomendasi Item-Based Collaborative Filtering,” INTECOMS J. Inf. Technol. Comput. Sci., vol. 4, no. 2, pp. 340–347, 2021.
H. Februariyanti, A. D. Laksono, J. S. Wibowo, and M. S. Utomo, “Implementasi Metode Collaborative Filtering Untuk Sistem Rekomendasi Penjualan Pada Toko Mebel,” J. Khatulistiwa Inform., vol. 9, no. 1, 2021.
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