recommendationfamily
Wide and Deep
Recommender architecture that trains a wide linear model and a deep network together, productionised on Google Play. Paper by Cheng et al. (2016).
Levelfamily
Classrecommendation
Parametersnot in the notes
Contextnot in the notes
Released24 Jun 2016
Opennessunknown
Runs onnot in the notes
Statusactive
Industry Use Cases
Retail and Logistics
Super-app recommendation and personalisationR&D Topics
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 Jointly trained wide linear model and deep neural network
- 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
- unknown
- Licence
- not in the notes 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
- NVIDIA Deep Learning Examples publish TensorFlow checkpoints trained on Outbrain data on NGC.
- 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.
Links
DeveloperGooglebig tech, USA
Googlebig tech, USAModelWide and DeepGoogle, recommendation
Wide and DeepGoogle, recommendationWho 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/1606.07792 https://arxiv.org/abs/1606.07792
- catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/models/widendeep_base_t... https://catalog.ngc.nvidia.com/orgs/nvidia/teams/dle/models/widendeep_base_tf1_ckpt
- github.com/RUCAIBox/RecBole2.0/blob/main/model_list.md https://github.com/RUCAIBox/RecBole2.0/blob/main/model_list.md
To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Wide and Deep", https://aurion.semai.id/models/google-wide-and-deep/, records of October 2026.