Learning to Order Things
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
- 15 May 1999
- Authors
- W. W. Cohen, R. E. Schapire, Y. Singer
What it does
The problem areas the model was built for. A model can carry several of each.
- Domain
- Recommendation, Search
- Task
- Recommender system, Search
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
Overall, we de fined 16 search experts for the ML domain and 22 for the UNIV domain; these are summarized in Table 1. Each search expert returned the top 30 ranked web pages. In the ML domain, there were 210 searches for whih at least one search expert returned the named home page; for the UNIV domain, there were 290 such searches
Availability
Whether you can obtain the model and run it on your own hardware, which is what decides if any of the graphics-card figures on this page apply.
- Weights
- Closed — provider access only
- Model access
- Unreleased
- Training code
- Unreleased
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Record confidence
- Unknown
Sources
Where this record came from and when it was last checked.
- Reference
- Learning to Order Things
- Last updated
- 28 November 2025
What the numbers mean
Background
Learning to Order Things was published by AT&T, in the country recorded as United States of America, during May 1999. It comes out of an organisation categorised as industry.
It works in the domain of Recommendation, Search, and is recorded as performing the task of recommender system, Search.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Learning to Order Things — common questions
Learning to Order Things— is it open source?
No. Its weights have not been published, so it exists only as a service controlled by its owner.
Learning to Order Things— 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.
Learning to Order Things— who created it?
It was published by AT&T, based in United States of America, an organisation categorised as industry.
Learning to Order Things— when was it released?
It was published in May 1999. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Learning to Order Things— what is it used for?
It works in the domain of Recommendation, Search, and is recorded as handling the task of recommender system, Search. 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.
Learning to Order Things— 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.
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.