Social and content-based classification
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,Bell Laboratories,Rutgers University
- Organisation type
- Industry,Industry,Academia
- Country
- United States of America
- Published
- 1 July 1998
- Authors
- C Basu, H Hirsh, W Cohen
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
"Our data set consists of more than 45,000 movie rat- ings collected from approximately 260 users."
How it is classified
Labels the source dataset applies when tracking notable models, and how confident it is in the entry.
- Citations
- 1,564
Sources
Where this record came from and when it was last checked.
- Reference
- Recommendation as Classification: Using Social and Content-based Information in Recommendation
- Last updated
- 28 November 2025
What the numbers mean
Background
Social and content-based classification was published by AT&T,Bell Laboratories,Rutgers University, in the country recorded as United States of America, during July 1998. It comes out of an organisation categorised as industry,Industry,Academia.
It works in the domain of Recommendation, and is recorded as performing the task of recommender system.
This is a closed model: the trained values stayed with whoever produced them, and there is no local version to run.
Answers
Social and content-based classification — common questions
Social and content-based classification— 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.
Social and content-based classification— 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.
Social and content-based classification— 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.
Social and content-based classification— who created it?
It was published by AT&T,Bell Laboratories,Rutgers University, based in United States of America, an organisation categorised as industry,Industry,Academia.
Social and content-based classification— when was it released?
It was published in July 1998. Capability per parameter has improved considerably since, so a newer model of the same size is often the better use of the same hardware.
Social and content-based classification— what is it used for?
It works in the domain of Recommendation, and is recorded as handling the task of recommender system. 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.
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.