Pragmatic Theory solution (Netflix 2009)
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
- Pragmatic Theory Inc.
- Organisation type
- Industry
- Country
- Canada
- Published
- 1 August 2009
- Authors
- M Piotte, M Chabbert
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Recommendation
- Task
- Movie ratings
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
"Netflix provided a training data set of 100,480,507 ratings that 480,189 users gave to 17,770 movies."
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
- SOTA improvement
- Record confidence
- Confident
- Citations
- 111
Netflix grand prize winner (along with two other teams)
Sources
Where this record came from and when it was last checked.
- Reference
- The Pragmatic Theory solution to the Netflix Grand Prize
- Last updated
- 11 February 2026
What the numbers mean
Background
Pragmatic Theory solution (Netflix 2009) was published by Pragmatic Theory Inc., in Canada, in August 2009. It comes out of industry.
It works in Recommendation, and is recorded as doing movie ratings.
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 sOTA improvement.
Answers
Pragmatic Theory solution (Netflix 2009) — common questions
What is Pragmatic Theory solution (Netflix 2009) used for?
Pragmatic Theory solution (Netflix 2009) works in Recommendation, and is recorded as handling movie ratings. 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 Pragmatic Theory solution (Netflix 2009)?
None. Pragmatic Theory solution (Netflix 2009) 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 Pragmatic Theory solution (Netflix 2009) open source?
The licensing for Pragmatic Theory solution (Netflix 2009) 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 Pragmatic Theory solution (Netflix 2009) have?
No parameter count has been published for Pragmatic Theory solution (Netflix 2009), which is why no memory or speed figure appears on this page.
Who created Pragmatic Theory solution (Netflix 2009)?
Pragmatic Theory solution (Netflix 2009) was published by Pragmatic Theory Inc., based in Canada, categorised as industry.
When was Pragmatic Theory solution (Netflix 2009) released?
Pragmatic Theory solution (Netflix 2009) was published in August 2009. 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.