Anime-Recommendation-System

Dataset Overview

Dataset Name

Anime‑Recommendation‑System

Dataset Description

This dataset comprises preference data from 73,516 users for 12,294 anime. Users may add completed anime to a list and provide ratings; the dataset aggregates these ratings.

Dataset Content

Anime.csv

• anime_id: Unique anime identifier from myanimelist.net.
• name: Full name of the anime.
• genre: Genres of the anime, separated by commas.
• type: Anime type (e.g., Movie, TV, OVA).
• episodes: Number of episodes (1 for movies).
• rating: Average rating out of 10.
• members: Number of community members associated with the anime.

Rating.csv

• user_id: Randomly generated non‑identifiable user ID.
• anime_id: Anime ID that the user rated.
• rating: Rating given by the user, out of 10 (‑1 indicates watched but not rated).

Recommendation System Type

The dataset is used for content‑based filtering recommendation systems. Items are represented by a set of descriptors or terms (typically words occurring in the item’s description). The system builds user profiles from explicit or implicit feedback and recommends items accordingly. Accuracy improves as users provide more input or interact with recommendations.

Data Source

The dataset is sourced from the myanimelist.net API.