Cómo funciona el iRank Score
Transparencia total sobre cómo puntuamos y comparamos películas y series.
¿Qué es el iRank Score?
El iRank Score es un número entre 0 y 100 que representa la calidad crítica general de un título. En lugar de fiarnos de una sola fuente, agregamos cuatro de las más reputadas usando una media ponderada — dando más peso a las plataformas con grupos de críticos más amplios y mayor historial de fiabilidad.
| 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.
Cómo medimos la similitud
La similitud entre dos títulos se calcula usando similitud coseno sobre un vector de etiquetas ponderadas. Cada título se representa como un vector de etiquetas binarias en ocho dimensiones de contenido. Cuanto más alineados estén dos vectores, mayor es la puntuación de coincidencia (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.
Fuentes de datos
Obtenemos datos de las siguientes fuentes. Las puntuaciones se actualizan mensualmente para mantener los scores actualizados a medida que evoluciona la opinión del público y la crítica.
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.