Rumo’s algorithms: the best of both worlds
A semantic approach ...
By assigning keywords and their weights to content pieces, the algorithm can identify the best results for every query.
... with refined associated recommendations.
Associated is a type of content-to-content recommendation that makes recommendations based on hidden user interaction patterns.
Rumo is a hybrid recommendation system, combining different methods to overcome individual problems and taking only the best of each model. No cold start problems, no filter bubbles!
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Frequently Asked Questions
How do I integrate Rumo? Do I have to do it myself?
Check out “How it works” to find out how to integrate Rumo in 3 steps.
Do I need metadata to use Rumo?
Rumo works best if you do have metadata. Otherwise, we have a metadataless algorithm, “Associated” that creates recommendations based on users pattern. Check out this article to learn more about it.
How long does it take for Rumo to be effective after implementation?
Rumo is immediately effective right after implementation.