recommendationfamily
DLRM (Deep Learning Recommendation Model)
Neural recommendation model for personalisation that handles categorical features through embedding tables; its implementation is published by Facebook Research (facebookresearch/dlrm). Paper by Naumov et al. (2019).
Levelfamily
Classrecommendation
Parametersnot in the notes
Contextnot in the notes
Released31 May 2019
Opennessopen source
Runs onnot in the notes
Statusactive
Identity
Where this comes from
Developer and dates from the research notes. Release date is the vendor's public announcement; weights date is when open weights were published.
Architecture and Size
- Architecture
- other Embedding tables for sparse features plus MLPs and pairwise feature interactions
- Total parameters
- – sources
- Active parameters
- –
- Checkpoint parameters
- –
- Context length
- not in the notes
- Input
- table
- Output
- table
Where this comes from
Parameter counts as the developer states them. Where the checkpoint holds a different total, both are shown (register A16).
Openness and Access
- Openness
- open source
- Licence
- MIT License sources
- Access routes
- not in the notes
Where this comes from
The licence file governs over registry tags and aggregator labels.
Deployment
- Runs on
- not in the notes
- Footprint
- Licence is that of the facebookresearch/dlrm repository (MIT). AURION already holds dlrm-dcnv2, the MLPerf variant.
- Runtimes
- not in the notes
Where this comes from
Deployment tiers and runtimes as named in the notes. Footprint is the notes' figure, not a measurement by AURION.
Indonesia
- Indonesian support
- not stated
- Regional languages
- not in the notes
- Jakarta hosting
- unknown
- Languages
- not in the notes
Where this comes from
Indonesia fields are carried on every model; unknown is an allowed value.
Benchmark Results
The notes record no benchmark result for this model.
Lineage
The notes record no lineage for this model.
Industry Use Cases
No industry use case links this model.
Links
DeveloperMetabig tech, USA
Metabig tech, USAModelDLRM (Deep Learning Recommendation Model)Meta, recommendation
DLRM (Deep Learning Recommendation Model)Meta, recommendationUse CasesSuper-App Recommendation and PersonalisationRetail and LogisticsUse cases of models in the same R&D topic; none is recorded for this model itself.
Who Runs It
GrabIn production, 6 Oct 2026Deployments of these use cases; none names this model.
GrabIn production, 6 Oct 2026Deployments of these use cases; none names this model.Organisations 1
Sources
- arxiv.org/abs/1906.00091 https://arxiv.org/abs/1906.00091
- github.com/facebookresearch/dlrm https://github.com/facebookresearch/dlrm
- nvidia-merlin.github.io/models/stable/models_overview.html https://nvidia-merlin.github.io/models/stable/models_overview.html
- github.com/meta-pytorch/torchrec https://github.com/meta-pytorch/torchrec
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "DLRM (Deep Learning Recommendation Model)", https://aurion.semai.id/models/meta-dlrm/, records of October 2026.