Movie recommendations that start with you
Find something worth watching.
Pick a few movies you already love. I'll blend their taste patterns and look through 89.6K movies to make you a fresh shortlist.
Start anywhere
A favorite is all the model needs.
Pick one movie for a focused match, or mix a few together to find the overlap in your taste.
- 1 Pick up to five favorites
- 2 The model blends their learned signals
- 3 Save the movies that make the cut
A real model behind a simple screen
Not a hardcoded list in a nice jacket.
Shortlist trains on the same one-to-five favorites flow you use here, retrieves against the full catalog in Go, and adds TMDB details so the results feel like movies instead of database rows.
- Movies searched
- 89,585
- Learned profiles
- 199,378
- Catalog reach
- 14.5%vs. 0.12% popularity
- Recall@100
- 0.331vs. 0.228 popularity