Youtube recommendation model
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
- Organisation type
- Industry
- Country
- United States of America
- Published
- 15 September 2016
- Authors
- Paul Covington, Jay Adams, and Emre Sargin
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,Historical significance,Significant use
- Record confidence
- Unknown
- Citations
- 3,531
Sources
Where this record came from and when it was last checked.
- Reference
- Deep Neural Networks for YouTube Recommendations
- Last updated
- 1 January 2026
What the numbers mean
What this model is
Youtube recommendation model was published by Google, in United States of America, in September 2016. The organisation is categorised as industry.
It works in Recommendation, and is recorded as doing recommender system.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
How it was trained
The reason it appears in this catalogue at all is highly cited,Historical significance,Significant use.
Answers
Youtube recommendation model — common questions
What is Youtube recommendation model used for?
Youtube recommendation model works in Recommendation, and is recorded as handling recommender system. These are the areas it was designed around; they describe intent rather than a hard boundary.
What GPU do I need to run Youtube recommendation model?
None. Youtube recommendation model 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 Youtube recommendation model open source?
The licensing for Youtube recommendation model 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 Youtube recommendation model have?
No parameter count has been published for Youtube recommendation model, which is why no memory or speed figure appears on this page.
Who created Youtube recommendation model?
Youtube recommendation model was published by Google, based in United States of America, categorised as industry.
When was Youtube recommendation model released?
Youtube recommendation model was published in September 2016. 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.