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Topic: recommender-systems
Spotlight: Deep Recommender Models with PyTorch

Spotlight: Deep Recommender Models with PyTorch

Spotlight is a Python library built on PyTorch for developing deep and shallow recommender models. It offers a comprehensive set of building blocks for various loss functions, representations, and utilities for handling recommendation datasets. This tool is designed for rapid exploration and prototyping of new recommender systems.

Feb 26, 2026
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RecDebiasing: A Comprehensive Collection of Recommendation Debiasing Methods

RecDebiasing: A Comprehensive Collection of Recommendation Debiasing Methods

RecDebiasing is a valuable GitHub repository that curates a wide array of debiasing methods for recommendation systems. It compiles recent research papers, relevant datasets, and associated codebases, offering a centralized resource for understanding and addressing various biases. This collection is essential for researchers and practitioners focused on building more fair and accurate recommender systems.

Jan 23, 2026
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