Large-scale recommendation systems are becoming harder to improve because they no longer operate as isolated models. Modern ...

Abstract: Recommender systems (RSs) are software systems that use machine learning techniques to suggest items, such as movies, products or routes to users based on input provided over time. These ...

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Workout-and-Calories-ML-Recommender A machine learning-based fitness recommendation system that analyzes user characteristics to predict calorie needs and recommend suitable workout routines using ...

Abstract: Machine learning can provide deep insights into data, allowing machines to make high-quality predictions and having been widely used in real-world applications, such as text mining, visual ...

Machine learning is increasingly used in content-based recommender algorithms to guide journal submissions for academic articles. Objective: We sought to evaluate the performance of open-source ...

Despite a bleak start with significant losses, Malayalam cinema revived from March 2026 with hits like 'Aadu 3', 'Vaazha 2', and 'Drishyam 3', restoring industry confidence.

Five independent security disclosures in a single week point to the same gap: AI agent permissions, not AI agent capabilities, are the problem enterprises haven’t solved. If you can only read one tech ...

We look decades ahead to create what our clients will someday need. That’s been Bloomberg’s mission from day one, when we designed and built the Bloomberg Terminal – pioneering technology that ...

Summary: A new study laid bare exactly why AI voice-cloning scams are so devastatingly effective. The research reveals that humans are inherently defenseless against voices that share their own unique ...