# jihoo-kim/awesome-RecSys

A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)

Repository: https://github.com/jihoo-kim/awesome-RecSys
Canonical: https://ross.abutalabs.com/products/awesome-recsys
License: MIT
License Family: permissive
Last push: 2022-02-13T08:20:57+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": 2661, "days_push": 1662, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1473, forks 210 (observed 2026-08-28T04:04:49.553356+00:00)

## What it is
A curated awesome-list of recommender system resources including books, conferences, researchers, papers, GitHub repositories, useful sites, and YouTube videos. It serves as a learning and reference hub for people studying recommendation systems.

## Use cases
- find books and papers on recommender systems
- discover RecSys conferences and researchers
- find GitHub repositories implementing recommendation algorithms
- learn recommender systems from scratch
- find youtube lectures on recommendation systems
- keep up with recommender system research

## When to choose
- you want a single curated index of recommender system learning materials
- you are a student or researcher entering the RecSys field
- you need pointers to papers, books, and reference implementations

## When to avoid
- you need a working recommendation engine or library
- you need up-to-date coverage of recent papers (last release 2022)
- you want runnable code rather than a resource list

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning
- domain: machine-learning, data-science, awesome-lists, tutorials
- platform: -
- tags: awesome-list, recommender-systems, curated-list, papers, recsys, web-server

## Member repositories
- jihoo-kim/awesome-RecSys (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:49.553356+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 2026-08-30T04:34:38.063333+00:00, confidence not recorded.
  - readme: https://github.com/jihoo-kim/awesome-RecSys (fetched 2026-08-28T04:04:49.553356+00:00, sha 13e2bf50966b)
- Data as of 2026-08-30T08:39:29.467469+00:00.