Comment fonctionne le iRank Score
Transparence totale sur la façon dont nous notons et comparons films et séries.
Qu'est-ce que le iRank Score ?
Le iRank Score est un nombre entre 0 et 100 représentant la qualité critique globale d'un titre. Plutôt que de faire confiance à une seule source, nous agrégeons quatre des plus réputées avec une moyenne pondérée.
| Source | Weight | Min. votes required | Scale |
|---|---|---|---|
| IMDb | ×3.0 | 1,000 | 0–10 |
| Rotten Tomatoes | ×2.0 | 20 reviews | 0–100 → 0–10 |
| Metacritic | ×1.5 | 7 reviews | 0–100 → 0–10 |
| TMDb | ×1.0 | 100 | 0–10 |
Formula
iRank = (IMDb×3.0 + RT×2.0 + Metacritic×1.5 + TMDb×1.0) ÷ 7.5
Only sources that meet the minimum vote threshold are included. If a source is unavailable, the remaining weights are re-normalised so the score stays on the 0–10 scale.
Comment nous mesurons la similarité
La similarité entre deux titres est calculée en utilisant la similarité cosinus sur un vecteur de tags pondérés. Plus deux vecteurs sont alignés, plus le score de correspondance est élevé (0–100%).
Primary and secondary genres (action, drama, sci-fi…). The strongest signal for content similarity.
Emotional register — dark, comedic, inspirational, tense. Captures feel beyond genre labels.
Narrative rhythm: slow-burn vs. fast-paced. Affects viewer experience independently of genre.
Storytelling form: linear, non-linear, anthology, episodic, heist-structure, etc.
Decade of setting, not of release. A 2010 film set in the 1940s matches other period pieces.
Core ideas explored: redemption, identity, survival, political corruption, coming-of-age…
Target demographic — children, teens, adults, families. Prevents mismatched recommendations.
Narrative point-of-view: ensemble cast, single protagonist, unreliable narrator, etc.
The final match score shown on each page is the cosine similarity of the two weighted vectors, expressed as a percentage. A score of 90%+ means the titles share almost identical content DNA across all eight dimensions.
Sources de données
Nous collectons des données à partir des sources suivantes. Les notes sont actualisées mensuellement pour maintenir les scores à jour.
Primary metadata source: cast, crew, genres, release dates, posters, and community ratings. Data is accessed via the official TMDb API.
The world's largest movie database. We use IMDb's weighted average rating and vote count as the highest-weight component of the iRank Score.
Tomatometer score from professional critics. Known for binary fresh/rotten aggregation across hundreds of publications.
Metascore computed from weighted critic reviews. Smaller but highly curated pool of professional reviewers.
Used to retrieve IMDb and Rotten Tomatoes scores in a single API call when direct access is not available.