Self-supervised models generate implicit labels from unstructured data rather than relying on labeled datasets for supervisory signals. Self-supervised learning (SSL), a transformative subset of ...

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Self-supervised learning (SSL) approaches have recently become state-of-the-art (SOTA) for personalized recommendation. The core idea of SSL in recommendation is to learn better user and item ...

Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...