Netflix Recommender System
No estimate
No hardware requirements for this model
The weights for this model have not been published, so it cannot be downloaded or run on your own hardware at any size. It is reachable only through its provider, and no graphics card changes that.
On record
Full specification
Everything on record for this model. Most of it describes how it was trained rather than how it runs — useful context for judging how much work went into it, and how it compares with models built at a different scale.
Origin
Who built this model, where, and when it was published.
- Organisation
- Netflix
- Organisation type
- Industry
- Country
- United States of America
- Published
- 1 December 2015
- Authors
- CA Gomez-Uribe, N Hunt
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Recommendation
- Task
- Recommender system
Size
How large the model is and how much data it was trained on. Parameters are the figure that decides whether it fits on a given graphics card.
- Training data
- tokens
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Why it is tracked
- Highly cited,Significant use,Historical significance
- Record confidence
- Unknown
- Citations
- 1,092
Sources
Where this record came from and when it was last checked.
- Reference
- The Netflix Recommender System: Algorithms, Business Value, and Innovation
- Last updated
- 28 November 2025
What the numbers mean
Background
Netflix Recommender System was published by Netflix, in United States of America, in December 2015. It comes out of industry.
It works in Recommendation, and is recorded as doing recommender system.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Training and provenance
The reason it appears in this catalogue at all is highly cited,Significant use,Historical significance.
Answers
Netflix Recommender System — common questions
What is Netflix Recommender System used for?
Netflix Recommender System works in Recommendation, and is recorded as handling recommender system. A model can carry several of each, so these are the areas it was built for rather than a limit on what it will attempt.
What GPU do I need to run Netflix Recommender System?
None. Netflix Recommender System is a closed model — its weights were never published, so it cannot be downloaded or run on your own hardware at any price. It is reachable only through its provider.
Is Netflix Recommender System open source?
The licensing for Netflix Recommender System was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
How many parameters does Netflix Recommender System have?
No parameter count has been published for Netflix Recommender System, which is why no memory or speed figure appears on this page.
Who created Netflix Recommender System?
Netflix Recommender System was published by Netflix, based in United States of America, categorised as industry.
When was Netflix Recommender System released?
Netflix Recommender System was published in December 2015. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
The other direction
Looking at it from the other side?
This page starts from the model. If you already own a card and want to know everything it will run, start from the hardware instead.