Talent Search and Recommendation Systems
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
- Organisation type
- Industry
- Country
- United States of America
- Published
- 18 September 2018
- Authors
- Sahin Cem Geyik, Qi Guo, Bo Hu, Cagri Ozcaglar, Ketan Thakkar, Xianren Wu, Krishnaram Kenthapadi
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
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
- Talent Search and Recommendation Systems at LinkedIn: Practical Challenges and Lessons Learned
- Last updated
- 28 November 2025
What the numbers mean
What this model is
Talent Search and Recommendation Systems was published by LinkedIn, in United States of America, in September 2018. It comes out of industry.
It works in Recommendation, and is recorded as doing recommender system.
Its weights were never published, so it can only be reached through its provider. No graphics card changes that.
Answers
Talent Search and Recommendation Systems — common questions
What GPU do I need to run Talent Search and Recommendation Systems?
None. Talent Search and Recommendation Systems 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 Talent Search and Recommendation Systems open source?
No. Talent Search and Recommendation Systems has not had its weights published, so it exists only as a service controlled by its owner.
How many parameters does Talent Search and Recommendation Systems have?
No parameter count has been published for Talent Search and Recommendation Systems, which is why no memory or speed figure appears on this page.
Who created Talent Search and Recommendation Systems?
Talent Search and Recommendation Systems was published by LinkedIn, based in United States of America, categorised as industry.
When was Talent Search and Recommendation Systems released?
Talent Search and Recommendation Systems was published in September 2018. 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 Talent Search and Recommendation Systems used for?
Talent Search and Recommendation Systems works in Recommendation, and is recorded as handling recommender system. Models frequently carry more than one of each, and the tags describe purpose rather than capability limits.
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.