The Trump administration has dropped recommendations for six vaccines and one preventative therapy for all children ...

Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.

AI in retail isn’t new. In the early 2000s, many leading retailers began finding AI solutions: Amazon introduced its ...

The United States ended on Monday its longstanding guidance that all children receive vaccines against flu and three other ...

An AI-powered job recommendation system leveraging machine learning and MongoDB to match users with suitable job opportunities based on skills, experience, and locations. Opportune: JobMate is a ...

With the rise of personalized music streaming services, there is a growing need for systems that can recommend music based on users' emotional states. Realizing this need, Moodify is being developed ...

Abstract: Reinforcement learning methods have been used to optimize long-term user engagement in recommendation systems. However, existing reinforcement learning-based recommendation systems do not ...

Yearly Covid-19 Booster Recommendations in Canada, Europe, and Australia. Although the rapid development of multiple Covid-19 vaccines in 2020 represents a major scientific, medical, and regulatory ...

Background People increasingly rely on online health information for their health-related decision-making. Given the overwhelming amount of information available, the risk of misinformation is high.

The volume of information available online has surged significantly due to the development of the internet, leading to information overload. Traditional systems have limited capacities in managing ...