NicolasHug/Surprise
Surprise
A Python scikit for building and analyzing recommender systems
Builder
NicolasHug
NicolasHug • individual
Stars
6,787
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Forks
1,051
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0
Activity Score
0/100
0 commits in 30d
Created
Oct 23, 2016
Project creation date
README Summary
[](https://badge.fury.io/gh/nicolashug%2FSurprise) [](https://surprise.readthedocs.io/en/stable/?badge=stable) [](https://surpriselib.com) [](https://opensource.org/licenses/BSD-3-Clause) [![DOI](https
Community Evaluation
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Baseline Prediction AlgorithmsCollaborative FilteringCross-validation for Recommender SystemsEvaluation Metrics for RecommendationsMatrix FactorizationModel Selection and Hyperparameter TuningNeighborhood-based MethodsRecommendation SystemsSimilarity ComputationUser-Item Rating Prediction
Tags
Baseline Prediction AlgorithmsCollaborative FilteringCross-validation for Recommender SystemsEvaluation Metrics for RecommendationsMatrix FactorizationModel Selection and Hyperparameter TuningNeighborhood-based MethodsRecommendation SystemsSimilarity ComputationUser-Item Rating PredictionBenchmarkingData ScienceEvalsForkedJupyterMachine LearningNumPyOpen SourcePythonScikit-learnTutorial
Taxonomy
Deployment Context
Industries
Modalities
Skill Areas
tag
Recent Activity
Updated 10 months ago
7 Days
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30 Days
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90 Days
0
Quality
production- Quality
- high
- Maturity
- production
Categories
Data Science & AnalyticsPrimaryEvals & BenchmarkingLearning ResourcesOther AI / ML
PM Skills
Data & Evaluation
Languages
Python100.0%
Timeline
- Project created
- Oct 23, 2016
- Forked
- Mar 22, 2026
- Your last push
- 10 months ago
- Upstream last push
- 10 months ago
- Tracked since
- Jul 24, 2025
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