Meet RecomendArt

Platform to discover, compare and understand cultural works — movies, tv shows and albums — with personalized recommendations and dashboards based on your personal taste.

Rate, favorite, and let the algorithm suggest things that truly match your taste.

Mission

Help people discover relevant works and understand cultural patterns using community ratings and semantic recommendations.

What you can do

Search and filter by genre, year or rating.
Favorite and rate to improve your recommendations.
Explore cross-type recommendations (tv shows ↔ movies ↔ albums).

Why we made this

To offer an integrated view of cultural consumption, prioritizing semantic connections between works and real community experiences.

How it works (summary)

Collection

You rate and favorite works; the platform stores these actions and metadata.

Tags & Similarity

Works receive unified tags and, on the roadmap, text embeddings to connect works of different types.

Recommendations

Intra-type and cross-type combinations feed the suggestions.

Dashboard

View community statistics: average ratings, favorites and trends by period.

Team & Contact

Small team focused on UX, data and backend.

Send an email to contatorecomendart@gmail.com

Technologies

Java Spring Boot Hibernate Bootstrap TMDB / Deezer / OpenLibrary Docker

Ready to try?

Create an account, rate your favorite works and see personalized recommendations appear.