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PreferredAI/cornac

cornac

A Comparative Framework for Multimodal Recommender Systems

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Builder

PreferredAI

PreferredAI • individual

Stars

1,028

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Forks

163

Using upstream fork count

Open Issues

Activity Score

0/100

0 commits in 30d

Created

Jul 17, 2018

Project creation date

README Summary

Cornac is a comparative framework for multimodal recommender systems that provides a unified platform for building and evaluating recommendation algorithms. It supports various types of data including user-item interactions, item content, user social networks, and other auxiliary information to enable comprehensive recommendation system research and development.

AI Dev Skills

Unmapped

Tags

Collaborative FilteringMatrix FactorizationDeep Learning for Recommender SystemsMultimodal Machine LearningBayesian Personalized RankingNeural Collaborative FilteringVariational Autoencoders for RecommendationsContent-Based FilteringHybrid Recommendation SystemsEvaluation Metrics for Recommender SystemsCold Start Problem SolutionsSequential RecommendationSocial Recommendation SystemsCompound AI SystemsProduct RecommendationSelf-hostedReal-time Recommendation ServingTabularPublishingMedia & StreamingMovie and Music RecommendationOn-premiseImageCross-domain RecommendationNews Article RecommendationEntertainmentMultimodal ReasoningA/B Testing for Recommendation SystemsRetailCloud APIPersonalized AIMultimodalSocial MediaTravel & HospitalityPersonalized Search ResultsContent RecommendationE-commerceSocial Media Feed CurationTextPython

Taxonomy

AI Trends

Multimodal Reasoning Personalized AI Compound AI Systems

Deployment Context

Self-hosted Cloud API On-premise

Industries

E-commerce Entertainment Media & Streaming Social Media Publishing Retail Travel & Hospitality

Modalities

Tabular Text Image Multimodal

Skill Areas

Use Cases

Product Recommendation Content Recommendation Movie and Music Recommendation News Article Recommendation Social Media Feed Curation Personalized Search Results Cross-domain Recommendation Real-time Recommendation Serving A/B Testing for Recommendation Systems

Recent Activity

Updated 3 months ago

7 Days

30 Days

90 Days

Quality

production

Quality: high
Maturity: production

PM Skills

Developer Platform

Languages

Python100.0%

Timeline

Project created: Jul 17, 2018
Forked: Mar 22, 2026
Your last push: 3 months ago
Upstream last push: 10 days ago
Tracked since: Dec 18, 2025

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