PreferredAI/cornac
cornac
A Comparative Framework for Multimodal Recommender Systems
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PreferredAI
PreferredAI • individual
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Created
Jul 17, 2018
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README Summary
**Cornac** is a comparative framework for multimodal recommender systems. It focuses on making it **convenient** to work with models leveraging **auxiliary data** (e.g., item descriptive text and image, social network, etc). **Cornac** enables **fast** experiments and **straightforward** implementations of new models. It is **highly compatible** with existing machine learning libraries (e.g., TensorFlow, PyTorch).
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Bayesian Personalized RankingCold Start Problem SolutionsCollaborative FilteringContent-Based FilteringDeep Learning for Recommender SystemsEvaluation Metrics for Recommender SystemsHybrid Recommendation SystemsMatrix FactorizationMultimodal Machine LearningNeural Collaborative FilteringSequential RecommendationSocial Recommendation SystemsVariational Autoencoders for Recommendations
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Bayesian Personalized RankingCold Start Problem SolutionsCollaborative FilteringContent-Based FilteringDeep Learning for Recommender SystemsEvaluation Metrics for Recommender SystemsHybrid Recommendation SystemsMatrix FactorizationMultimodal Machine LearningNeural Collaborative FilteringSequential RecommendationSocial Recommendation SystemsVariational Autoencoders for RecommendationsCourseDeep LearningEmbeddingsEvalsForkedJupyterLLM ServingMLOpsMachine LearningMultimodal AIPyTorchPythonPython Web FrameworkResearch / PapersTensorFlowTutorial
Taxonomy
category
Deployment Context
Modalities
Skill Areas
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 Systems
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Quality
production- Quality
- high
- Maturity
- production
Categories
Learning ResourcesPrimaryRAG & RetrievalEvals & BenchmarkingInference & ServingMLOps & InfrastructureDev Tools & AutomationData Science & AnalyticsFoundation ModelsModel TrainingML Platform & InfrastructureMultimodal AISearch & KnowledgeOther AI / ML
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Cost & EfficiencyUser ExperienceScale & ReliabilityData & EvaluationProduct Discovery
Languages
Python100.0%
Timeline
- Project created
- Jul 17, 2018
- Forked
- Mar 22, 2026
- Your last push
- 5 months ago
- Upstream last push
- 1 months ago
- Tracked since
- Dec 18, 2025
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