ZeroShirayuki/manga-recommender

Manga Recommender Model

This model provides personalized manga recommendations based on user preferences and manga genres.

Model Description

• Input: User ID, Manga ID, and genre features (17 binary values)
• Output: Predicted rating/recommendation score
• Architecture: Neural collaborative filtering with genre features

Usage

from huggingface_hub import InferenceClient
client = InferenceClient()

# Example input
inputs = {
    "user_id": "user_123",
    "manga_id": "manga_456",
    "genres": [1, 0, 1, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 1, 0]  # 17 binary values for genres
}

prediction = client.post(
    "ZeroShirayuki/manga-recommender",
    json=inputs
)