Project AURIONAI Use-Cases Research & Innovation
recommendationfamily

DIN (Deep Interest Network)

Click-through rate model that attends to the parts of a user's history relevant to each candidate, deployed in Alibaba's online display advertising. Paper by Zhou et al. (2017).

Alibaba (Qwen)
Levelfamily
Classrecommendation
Parametersnot in the notes
Contextnot in the notes
Released21 Jun 2017
Opennessopen source
Runs onnot in the notes
Statusactive

R&D Topics

Identity

Developer
Alibaba (Qwen)
Family
not in the notes
Released
21 Jun 2017 sourcesannouncement page
Weights published
–
Record checked
12 Oct 2026
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 Attention over user behaviour history relative to the candidate ad
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 RecBole implementation (MIT).
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.

Sources

  1. arxiv.org/abs/1706.06978 https://arxiv.org/abs/1706.06978
  2. github.com/RUCAIBox/RecBole https://github.com/RUCAIBox/RecBole
  3. 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, "DIN (Deep Interest Network)", https://aurion.semai.id/models/alibaba-din/, records of October 2026.