# grahamjenson/list_of_recommender_systems

A List of Recommender Systems and Resources

Repository: https://github.com/grahamjenson/list_of_recommender_systems
Canonical: https://ross.abutalabs.com/products/list_of_recommender_systems
License Family: other
Last push: 2025-12-03T21:07:37+00:00

## Health v2 (maintenance only)
Score: 57/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 55, release rhythm 35, longevity 100
- inputs: {"age_days": 4100, "days_push": 273, "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 4843, forks 701 (observed 2026-08-28T04:09:01.324132+00:00)

## What it is
A curated list of recommender systems and related resources, covering SaaS offerings, open-source libraries, and educational materials. It serves as a reference catalog for comparing recommendation engines rather than being software itself.

## Use cases
- find a recommender system for my e-commerce site
- compare open-source recommendation engines
- learn about collaborative filtering tools
- find SaaS recommendation services
- research recommender system resources

## When to choose
- you need an overview of available recommender systems before evaluating options
- you want a starting point for researching recommendation engine technology

## When to avoid
- you need working recommendation software rather than a list of options
- you need guaranteed up-to-date or officially maintained documentation

## Facets
- artifact type: learning-resource
- maturity: active
- function: machine-learning, developer-tools
- domain: machine-learning, e-commerce, data-science, awesome-lists
- platform: -
- tags: recommender-systems, awesome-list, curated-list, recommendation-engines, collaborative-filtering, web-server

## Member repositories
- grahamjenson/list_of_recommender_systems (main) score 57

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:01.324132+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 2026-08-29T18:18:27.348814+00:00, confidence not recorded.
  - readme: https://github.com/grahamjenson/list_of_recommender_systems (fetched 2026-08-28T04:09:01.324132+00:00, sha 2231d36d14c9)
- Data as of 2026-08-30T08:39:29.467469+00:00.