Skincare Recommender System Using Content-Based Filtering Method - Dalam bentuk buku karya ilmiah
TIARA NOVRI ZAMRONI
Informasi Umum
Kode
25.04.450
Klasifikasi
000 - General Works
Jenis
Karya Ilmiah - Skripsi (S1) - Reference
Subjek
Recommender Systems
Dilihat
160 kali
Informasi Lainnya
Abstraksi
<strong>Skincare has recently become one of the fastest growing product categories. In the past, consumers often chose skincare products based on best-selling products or recommendations from stores. To assist potential consumers in choosing the most suitable product, an effective recommendation system is essential. This study proposes a system that provides skincare product recommendations based on products that have been used by consumers. The method used is content-based filtering, which compares product characteristics to produce more relevant recommendations. The results show an F1measure of 0.87, and an accuracy of 78.78%. In addition, the system reach precision@50 of 0.98, recall@50 of 0.7656, and mean absolute error (MAE) of 0.21. These results reflect the system’s strong performance in aligning recommendations with user preferences. The recommendation system can improve the consumer experience by simplifying the decision-making process and offering suggestions tailored to individual skincare needs.</strong>
- CII4H3 - SISTEM PEMBERI REKOMENDASI
- CII4E4 - TUGAS AKHIR
Koleksi & Sirkulasi
Tersedia 1 dari total 1 Koleksi
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Pengarang
| Nama | TIARA NOVRI ZAMRONI |
| Jenis | Perorangan |
| Penyunting | Z. K. Abdurahman Baizal |
| Penerjemah |
Penerbit
| Nama | Universitas Telkom, S1 Informatika |
| Kota | Bandung |
| Tahun | 2025 |
Sirkulasi
| Harga sewa | IDR 0,00 |
| Denda harian | IDR 0,00 |
| Jenis | Non-Sirkulasi |
