BigChaos 2008
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
- 25 November 2008
- Authors
- A Töscher, M Jahrer
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Recommendation
- Task
- Movie ratings
- Numerical format
- FP32
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
- 35
Winners of the 2008 Netflix Price
Sources
Where this record came from and when it was last checked.
- Reference
- The BigChaos Solution to the Netflix Prize 2008
- Last updated
- 28 November 2025
What the numbers mean
Where it came from
BigChaos 2008 was published by AT&T, in the country recorded as United States of America, during November 2008. It comes out of an organisation categorised as industry.
It works in the domain of Recommendation, and is recorded as performing the task of movie ratings.
Because the weights are not available, none of the hardware figures elsewhere on this site apply to it.
How it was trained
It is tracked in the underlying dataset for one reason in particular: historical significance.
Answers
BigChaos 2008 — common questions
BigChaos 2008— what is it used for?
It works in the domain of Recommendation, and is recorded as handling the task of movie ratings. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
BigChaos 2008— what GPU do I need to run it?
None. This 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.
BigChaos 2008— is it open source?
The licensing was never recorded in our source data. We treat unstated licensing as closed, because an unrecorded licence is not one to rely on.
BigChaos 2008— how many parameters does it have?
No parameter count has been published for it, which is why no memory or speed figure appears on this page.
BigChaos 2008— who created it?
It was published by AT&T, based in United States of America, an organisation categorised as industry.
BigChaos 2008— when was it released?
It was published in November 2008. 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.