lenskit/lkpy
lkpy
Python recommendation toolkit
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lenskit
lenskit • individual
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0/100
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Created
Jun 8, 2018
Project creation date
README Summary
LensKit for Python (lkpy) is a comprehensive toolkit for building and experimenting with recommender systems in Python. It provides implementations of common collaborative filtering algorithms, evaluation metrics, and utilities for recommendation research and development. The toolkit is designed to support both research experiments and practical recommendation system deployments.
AI Dev Skills
Unmapped
Collaborative FilteringMatrix FactorizationRecommendation SystemsInformation RetrievalEvaluation MetricsImplicit Feedback LearningNeighborhood-based MethodsContent-based FilteringHybrid RecommendationCold Start Problem Solutions
Tags
Collaborative FilteringMatrix FactorizationRecommendation SystemsInformation RetrievalEvaluation MetricsImplicit Feedback LearningNeighborhood-based MethodsContent-based FilteringHybrid RecommendationCold Start Problem SolutionsProduct RecommendationsOn-premiseCloud APIEducationTextSelf-hostedPersonalization AIMusic RecommendationBook RecommendationsAcademic Paper RecommendationsSocial NetworksMedia & EntertainmentFederated LearningPersonalized News FeedE-commerceContent DiscoverySocial Connection SuggestionsExplainable AITabularContent PlatformsMovie and TV Show RecommendationsPython
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Updated 24 days ago
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Quality
production- Quality
- high
- Maturity
- production
Categories
Evals & BenchmarkingPrimaryOther AI / MLDev Tools & AutomationRAG & RetrievalML Platform & InfrastructureSearch & KnowledgeGenerative Media
PM Skills
Developer Platform
Languages
Python100.0%
Timeline
- Project created
- Jun 8, 2018
- Forked
- Mar 22, 2026
- Your last push
- 24 days ago
- Upstream last push
- 7 days ago
- Tracked since
- Mar 21, 2026
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