# mouna99/dien

Repository: https://github.com/mouna99/dien
Canonical: https://ross.abutalabs.com/products/dien
Language: Python
License Family: other
Last push: 2019-03-06T06:24:55+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2917, "days_push": 2737, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1211, forks 411 (observed 2026-08-28T04:04:00.112011+00:00)

## What it is
A TensorFlow implementation of the Deep Interest Evolution Network (DIEN) for click-through rate prediction, based on the Alibaba research paper. It also supports related CTR models such as DNN, PNN, Wide&Deep, and DIN, with prepared Amazon dataset scripts.

## Use cases
- predict click-through rates for ads or recommendations
- reproduce the DIEN paper experiments
- model user interest evolution from behavior sequences
- compare CTR models like DIN, DIEN, and Wide&Deep
- train a CTR model on the Amazon dataset

## When to choose
- you need a reference implementation of DIEN for CTR prediction research
- you want to benchmark sequence-based interest models against DIN and baselines

## When to avoid
- you need a production-ready, maintained recommendation system
- you use TensorFlow 2.x or modern tooling
- you need a license permitting commercial use

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning
- domain: machine-learning, deep-learning
- platform: python
- tags: ctr-prediction, recommendation, tensorflow, research-code, attention-models, algorithms

## Member repositories
- mouna99/dien (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:00.112011+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:18:05.574684+00:00, confidence not recorded.
  - readme: https://github.com/mouna99/dien (fetched 2026-08-28T04:04:00.112011+00:00, sha fd0822a5879f)
- Data as of 2026-08-30T08:39:29.467469+00:00.