LumoroX
An AI-native movie discovery platform, evolved from the Movie Recommendation System.
Goals
- Give the SVD recommender a real product surface beyond an offline top-10 list.
- Support discovery by mood and natural language, not only by rating history.
- Explain why a title is recommended instead of returning an opaque ranking.
- Keep search and browsing instant on a large catalogue.
Approach & architecture
- 1
Recommender as a signal
The matrix-factorization model became one input among several rather than the whole system.
- 2
Catalogue search
Instant search over the full catalogue with trending rails for cold-start users who have no rating history.
- 3
LLM layer
Mood prompts and watch history feed an LLM layer that ranks candidates and writes a short reason for each suggestion.
- 4
Watchlists
Per-user watchlists on Supabase feed taste signals straight back into the recommendation inputs.
- 5
Cinematic UI
A glassmorphic, motion-rich interface keeps browsing closer to a streaming app than a data tool.
Tech stack
Results
RMSE improvement inherited from the SVD foundation
shipped at lumorox.lovable.app
search, trending, watchlist and AI chat in one surface
Frequently asked questions
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