| Source | Weight | Rationale | |--------|--------|------------| | IMDb rating (8.0+) | 40% | Broad audience consensus | | Rotten Tomatoes Tomatometer (90%+) | 35% | Critical reception | | Amazon Prime user rating (4.5+ stars) | 25% | Platform-specific engagement |
This includes the UI structure, logic for curation, user engagement elements, and a sample data set. 1. Feature Overview Goal: Help users quickly discover the highest-quality movies available on Amazon Prime Video based on critic scores, audience ratings, and curated editorial picks. top rated movies on amazon prime
At least 25,000 user ratings on Amazon Prime. 3. UI/UX Design (Mockup Description) Header Section [ Hero Banner ] Background: Collage of top movies (e.g., "The Tomorrow War," "Manchester by the Sea") Headline: ⭐ Top Rated on Amazon Prime Subhead: Critically acclaimed. Audience loved. Stream now. Chip filters: [All] [Action] [Drama] [Comedy] [Thriller] [Sci-Fi] [Amazon Originals] Sort by: [Top Rated ▼] [Release Year] [Runtime] Movie Card Component (Grid View – 3 per row on desktop, 2 on mobile) +-----------------------------------+ | [Movie Poster Image] | | | | ★ 8.7 IMDb | 🍅 96% | ★ 4.8 | | "The Father" (2020) | | Drama · 1h 37m | | [Watch Now] [ + My List ] | | Critic: "Devastating masterpiece"| +-----------------------------------+ Detailed Modal (on click) Title: The Father Year: 2020 | Country: UK/France Director: Florian Zeller Cast: Anthony Hopkins, Olivia Colman Synopsis: A man refuses all assistance as he ages... Ratings: IMDb 8.6 (550K) | RT 94% | Amazon 4.7★ (12K) Available until: Dec 31, 2025 Audio: English, Hindi, Tamil | Subs: 15+ languages Trailer button | Share button | Rate this movie 4. Backend / API Logic (Pseudocode) def get_top_rated_prime_movies(genre=None, limit=20): movies = prime_video_db.query( "SELECT * FROM movies " "WHERE platform = 'amazon_prime' " "AND (imdb_rating >= 8.0 OR rt_score >= 90 OR prime_rating >= 4.5) " "AND total_ratings >= 25000" ) for m in movies: m['combined_score'] = ( m['imdb_rating'] * 0.4 + (m['rt_score'] / 10) * 0.35 + m['prime_rating'] * 0.25 ) At least 25,000 user ratings on Amazon Prime
if genre: movies = [m for m in movies if genre.lower() in m['genres']] Audience loved