# robi56/Deep-Learning-for-Recommendation-Systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

Repository: https://github.com/robi56/Deep-Learning-for-Recommendation-Systems
Canonical: https://ross.abutalabs.com/products/deep-learning-for-recommendation-systems
License Family: other
Topics: recommender-system, deep-learning, machine-learning, python, tensorflow, music-recommendation, hybrid-recommendation, collaborative-filtering, neural-network
Last push: 2020-02-27T05:52:08+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": 3404, "days_push": 2379, "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 2885, forks 695 (observed 2026-08-28T04:07:28.172828+00:00)

## What it is
A curated collection of deep learning articles, papers, and repositories focused on recommender systems. It serves as a reference list covering topics like collaborative filtering, autoencoders, and music recommendation.

## Use cases
- find papers on deep learning recommender systems
- learn collaborative filtering with neural networks
- research music recommendation models
- find implementations of deep recommendation papers
- survey autoencoder-based recommendation approaches
- get started with deep learning for recommendations

## When to choose
- you want a curated reading list of recommendation system research
- you need links to papers and code for deep recommender models
- you are surveying neural approaches to collaborative filtering

## When to avoid
- you need a production-ready recommendation engine
- you want maintained, runnable code rather than references
- you need non-deep-learning classical recommendation methods

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, search-engine
- domain: machine-learning, deep-learning, tutorials, awesome-lists
- platform: python
- tags: recommender-systems, collaborative-filtering, papers, curated-list, music-recommendation, neural-networks

## Member repositories
- robi56/Deep-Learning-for-Recommendation-Systems (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:28.172828+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 2026-08-30T07:35:24.254936+00:00, confidence not recorded.
  - readme: https://github.com/robi56/Deep-Learning-for-Recommendation-Systems (fetched 2026-08-28T04:07:28.172828+00:00, sha 4cef159da4e6)
- Data as of 2026-08-30T08:39:29.467469+00:00.