Nvidia (NVDA) remains a strong buy, with earnings growth outpacing share price appreciation and valuation multiples ...

An expert Q&A on the legal, ethical, and practical considerations and emerging issues regarding judicial use of AI, including ...

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 ...

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 ...

Abstract: The attacker's malicious behavior of injecting well-designed adversarial examples (i.e., fake users) into recommender systems will severely affect the security of systems. It's difficult to ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Vivek Yadav, an engineering manager from ...

Search engines and recommender systems are essential in online content platforms nowadays. Traditional search methodologies focus on textual content, creating a critical gap in handling illustrated ...