# davidcelis/recommendable

:+1::-1: A recommendation engine using Likes and Dislikes for your Ruby app

Repository: https://github.com/davidcelis/recommendable
Canonical: https://ross.abutalabs.com/products/recommendable
Homepage: http://davidcelis.github.io/recommendable/
Language: Ruby
License: MIT
License Family: permissive
Topics: ruby, redis, sidekiq, recommendations, rails
Last push: 2018-04-24T15:42:20+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 5339, "days_push": 3053, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1354, forks 111 (observed 2026-08-28T04:04:29.070864+00:00)

## What it is
Recommendable is a Ruby gem that adds a like/dislike-based recommendation engine to Ruby applications using Jaccardian similarity and memory-based collaborative filtering, with recommendations stored in Redis. It integrates with common ORMs (ActiveRecord, Sequel, Mongoid, etc.) and optionally uses background job systems like Sidekiq or Resque to refresh recommendations.

## Use cases
- add like/dislike recommendations to a Rails app
- build collaborative filtering for user preferences
- recommend similar items based on Jaccardian similarity
- store per-user recommendations in Redis
- refresh recommendations in background jobs with Sidekiq

## When to choose
- you have a Ruby/Rails app with like/dislike data and want quick recommendations
- you want Redis-backed k-NN collaborative filtering without building it yourself
- you already use Sidekiq, Resque, or DelayedJob for background processing

## When to avoid
- you need a maintained project - the latest release is from 2018
- you need content-based or deep-learning recommendations rather than collaborative filtering
- your stack is not Ruby or you don't want a Redis dependency

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, search-engine, caching
- domain: machine-learning, web-development, databases
- platform: ruby
- tags: recommendation-engine, collaborative-filtering, jaccard-similarity, likes-dislikes, redis-backed, sidekiq, rails-gem, redis

## Member repositories
- davidcelis/recommendable (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:29.070864+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 2026-08-30T04:42:01.301951+00:00, confidence not recorded.
  - readme: https://github.com/davidcelis/recommendable (fetched 2026-08-28T04:04:29.070864+00:00, sha ad0bc8ca9976)
  - homepage: http://davidcelis.github.io/recommendable/ (fetched 2026-08-29T12:00:18.161324+00:00, sha 548b72227c52)
- Data as of 2026-08-30T08:39:29.467469+00:00.