NIM: 2302050856
Nama: Laila Nur Aulia
Prodi: Sistem Informasi
Kelas: SI-A
User | Interstellar | Inception | Titanic | Avatar | Matrix |
---|---|---|---|---|---|
U1 | 5 | 5 | 3 | 4 | 4 |
U2 | 4 | 4 | 5 | 5 | 0 |
U3 | 5 | 4 | 2 | 3 | 4 |
U4 | 0 | 0 | 4 | 5 | 2 |
U5 | 3 | 3 | 4 | 4 | 4 |
U6 | 4 | 5 | 0 | 2 | 5 |
U7 | 2 | 3 | 5 | 5 | 1 |
U8 | 5 | 5 | 2 | 1 | 4 |
U9 | 4 | 4 | 4 | 5 | 2 |
U10 | 3 | 2 | 1 | 2 | 3 |
U11 | 1 | 1 | 5 | 5 | 1 |
U12 | 5 | 5 | 0 | 0 | 5 |
U13 | 4 | 4 | 4 | 3 | 3 |
U14 | 0 | 0 | 3 | 5 | 1 |
U15 | 3 | 2 | 2 | 2 | 2 |
U16 | 5 | 5 | 0 | 1 | 5 |
U17 | 4 | 5 | 1 | 2 | 5 |
U18 | 2 | 2 | 4 | 4 | 1 |
U19 | 3 | 3 | 5 | 5 | 2 |
U20 | 5 | 4 | 1 | 1 | 4 |
Prediksi rating U6 terhadap Titanic (Item-Based Collaborative Filtering):
Item-Based Collaborative Filtering memprediksi rating dengan menghitung kemiripan antar item.
Dengan metode Item-Based Collaborative Filtering, rumus prediksi rating U6 terhadap Titanic adalah:
$$ \hat{r}_{U6, \text{Titanic}} = \frac{ \sum_{i \in I} \text{sim}(\text{Titanic}, i) \cdot r_{U6,i} }{ \sum_{i \in I} |\text{sim}(\text{Titanic}, i)| } $$
Contoh dalam kasus: