├── Baselines ├── Content-based Active Learning │ ├── MatrixFactorization.py │ ├── content_based_active_learning.py │ └── read_write.py └── Factorized Decision Tree │ ├── FactorizedDecisionTree.py │ ├── MatrixFactorization.py │ ├── factorized_decision_tree.py │ └── read_write.py ├── README.md ├── Step1-Preprocessing ├── Commands.txt ├── LDA.py ├── buildtree_preparation.py ├── item_information.py ├── item_similarity.py ├── k_medoids.py ├── my_fitnlm.m ├── read2df.py ├── read_write.py ├── similarity_parameters.py ├── user_clustering.py ├── user_information.py └── user_similarity.py ├── Step2-Model ├── DecisionTree.py ├── MatrixFactorization.py ├── build_tree.py └── read_write.py └── script.py /Baselines/Content-based Active Learning/MatrixFactorization.py: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/clamli/Dissertation/HEAD/Baselines/Content-based Active Learning/MatrixFactorization.py 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