BellKor 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
- AT&T
- Organisation type
- Industry
- Country
- United States of America
- Published
- 1 August 2009
- Authors
- Y Koren
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
- Historical significance
- Citations
- 513
Introduced new algorithms; won Netflix Grand Prize
Sources
Where this record came from and when it was last checked.
- Reference
- The BellKor Solution to the Netflix Grand Prize
- Last updated
- 28 November 2025
What the numbers mean
Background
BellKor 2009 was published by AT&T, in United States of America, in August 2009. It comes out of industry.
It works in Recommendation, and is recorded as doing movie ratings.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
Training and provenance
It is tracked in the underlying dataset for one reason in particular: historical significance.
Answers
BellKor 2009 — common questions
How many parameters does BellKor 2009 have?
No parameter count has been published for BellKor 2009, which is why no memory or speed figure appears on this page.
Who created BellKor 2009?
BellKor 2009 was published by AT&T, based in United States of America, categorised as industry.
When was BellKor 2009 released?
BellKor 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.
What is BellKor 2009 used for?
BellKor 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 BellKor 2009?
None. BellKor 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 BellKor 2009 open source?
The licensing for BellKor 2009 was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
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.