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5 models· Anomaly Detection, Recommendation Systems

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by Meta · 0 reviews

An open-source deep learning architecture for recommendation systems that combines dense and sparse features through embedding tables, interaction layers, and MLP components, used for CTR prediction and personalization.

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Isolation Forest

by scikit-learn · 0 reviews

An efficient unsupervised anomaly detection algorithm that isolates anomalies through random partitioning, robust to high-dimensional data.

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libFM

by Steffen Rendle · 0 reviews

A supervised learning implementation of factorization machines for classification, regression, and ranking that captures feature interactions, widely used in recommendation systems.

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Local Outlier Factor (LOF)

by scikit-learn · 0 reviews

An unsupervised anomaly detection method that computes local density deviations to detect anomalies relative to neighboring points.

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