Wie der iRank Score funktioniert
Volle Transparenz darüber, wie wir Filme und Serien bewerten und vergleichen.
Was ist der iRank Score?
Der iRank Score ist eine Zahl zwischen 0 und 100, die die allgemeine kritische Qualität eines Titels darstellt. Anstatt einer einzigen Quelle zu vertrauen, aggregieren wir vier der renommiertesten Quellen mit einem gewichteten Durchschnitt.
| 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.
Wie wir Ähnlichkeit messen
Die Ähnlichkeit zwischen zwei Titeln wird mithilfe der Kosinus-Ähnlichkeit über einen gewichteten Tag-Vektor berechnet. Je stärker zwei Vektoren ausgerichtet sind, desto höher ist der Übereinstimmungs-Score (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.
Datenquellen
Wir beziehen Daten aus den folgenden Quellen. Die Bewertungen werden monatlich aktualisiert.
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.