Zuckerberg calls Meta’s current algorithms “primitive.” What replaces them could change how users see content and ads.

The rapid expansion of digital information has necessitated the development of sophisticated recommender systems, which are designed to mitigate information overload by tailoring content to individual ...

We engage with automation and machine learning every day in ways we may not realize. Consider the most common online habits: browsing social media, shopping on Amazon or binge-watching on Netflix.

With the rapid advancement of Large Language Models (LLMs), an increasing number of researchers are focusing on Generative Recommender Systems (GRSs). Unlike traditional recommendation systems that ...

Algorithmic recommendation systems on social media sites like YouTube, Facebook and Twitter have shouldered much of the blame for the spread of misinformation, propaganda, hate speech, conspiracy ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More In a new preprint study, researchers at the Eindhoven University of ...

Google Discover is largely a mystery to publishers and the search marketing community even though Google has published ...

The Agentic Commerce Recommendation Service is built for LLM platforms and retailer AI chatbots that help consumers discover, ...

Artificial intelligence performance startup ArthurAI Inc., said today it’s adding a powerful new tool to its suite of AI monitoring services. The new Recommender System Support tool is designed to ...

Fashion image retrieval and recommendation systems represent a rapidly evolving intersection of computer vision, machine learning and artificial intelligence, tailored to the unique demands of the ...

A music store like Apple iTunes contains more than 5 million songs today. And there are plenty of similar music stores online. With people posting online their own creations or excerpts of the ...