Library/recommendersForked

recommenders-team/recommenders

recommenders

Best Practices on Recommendation Systems

View on GitHub↗Upstream recommenders-team/recommenders↗

Builder

recommenders-team

recommenders-team • individual

Stars

21,566

Using upstream star count

Forks

3,306

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Sep 19, 2018

Project creation date

README Summary

This repository provides best practices, algorithms, and utilities for building recommendation systems. It includes comprehensive examples, tutorials, and implementations of various recommendation algorithms including collaborative filtering, content-based filtering, and deep learning approaches. The repository serves as a practical guide with end-to-end examples for recommendation system development and evaluation.

AI Dev Skills

Unmapped

Tags

Collaborative FilteringContent-Based FilteringMatrix FactorizationDeep Learning for RecommendationsNeural Collaborative FilteringWide & Deep NetworksVariational Autoencoders for RecommendationsSequential Recommendation ModelsMulti-Armed BanditsRecommendation System EvaluationCold Start Problem SolutionsImplicit Feedback ProcessingFeature Engineering for RecSysHyperparameter OptimizationA/B Testing for RecommendationsMusic & AudioPersonalized MarketingReal-time MLFederated LearningGamingMusic RecommendationProduct RecommendationMedia & EntertainmentExplainable AINews Article RecommendationReal-time Recommendation ServingSocial MediaStreaming ServicesServerlessTabularContent DiscoveryCloud APISelf-hostedNews & PublishingSocial Media Content CurationVideo PlatformsE-commerceMovie and TV Show RecommendationOn-premiseCross-selling and UpsellingMultimodalPersonalization AITextUser Behavior PredictionPython

Taxonomy

AI Trends

Personalization AI Real-time ML Federated Learning Explainable AI

Deployment Context

Cloud API Self-hosted On-premise Serverless

Industries

E-commerce Media & Entertainment Streaming Services Social Media News & Publishing Gaming Music & Audio Video Platforms

Modalities

Tabular Text Multimodal

Skill Areas

Use Cases

Product Recommendation Movie and TV Show Recommendation Music Recommendation News Article Recommendation Social Media Content Curation Personalized Marketing Cross-selling and Upselling Content Discovery User Behavior Prediction Real-time Recommendation Serving

Recent Activity

Updated 23 days ago

7 Days

30 Days

90 Days

Quality

production

Quality: high
Maturity: production

PM Skills

Scale & Reliability

Languages

Python100.0%

Timeline

Project created: Sep 19, 2018
Forked: Mar 22, 2026
Your last push: 23 days ago
Upstream last push: 7 days ago
Tracked since: Mar 21, 2026

Similar Repos

pgvector cosine similarity · $0

Loading…