Most recommendation engines only recommend the top 100 popular movies. Rovie uses taste graph conductance to help your subscribers discover hidden gems across your entire licensed library.
Choose sample viewer ratings, select a discovery mode, and see how the engine ranks recommendations.
Inactive: Recommendations search across Rovie's complete catalog (87,000+ titles).
Conductance path via Ingmar Bergman psychological horror
Shared auteur cluster with European cinema enthusiasts
Vascular taste affinity across existential Nordic drama
Traditional recommendation engines struggle with licensed movie libraries. Here is how Rovie solves this.
Pass your library's IMDb IDs directly in the request. We will strictly recommend titles your subscribers can actually watch on your platform.
95% of licensed movies rarely get viewed because standard engines only push the top 5% hits. Rovie revives your back-catalog to cut subscriber churn.
High-performance in-memory graph conductance returns recommendations fast enough to render hero rows and carousels synchronously.
Catalog whitelisting is included on every plan so you only recommend movies you own streaming rights to.
Ideal for niche streaming services, arthouse platforms, and catalog discovery trials.
For established SVOD platforms looking to increase retention across large libraries.
For major streaming networks requiring high-concurrency clusters and custom SLAs.