Recommender systems have become an indispensable element of modern digital platforms, designed to alleviate information overload by delivering personalised suggestions tailored to individual ...

Another policy tug-of-war could be emerging around Big Tech's content recommender systems in the European Union where the Commission is facing a call from Another policy tug-of-war could be ...

Yandex introduces the world's largest currently available dataset for recommender systems, advancing research and development on a global scale. The open dataset contains 4.79B anonymized user ...

Addressing the cold start problem in recommender systems BBC iPlayer has a constant stream of new users and content. How can we make recommendations when there isn't enough information about either?

Recommender systems were also the focus of a session at SRI’s 2022 Absolutely Interdisciplinary conference, which discussed the importance of policy to shape the design of algorithms in the context of ...

The EU wants more information on recommender systems and ad transparency, signaling potential shifts in ecommerce advertising landscape.

And here’s why: Recommender systems (machine-learning algorithms) are often intentionally too “heavy-handed” in their result, showing us way too much of one thing.

The development highlights areas where EU enforcers are dialing up their scrutiny of the e-commerce giant, with the bloc asking for more info about Amazon’s recommender systems, ads transparency ...

Rubber Ducky Labs, a company dedicated to making recommender systems easier to build and imbue with human knowledge, today announces $1.5 million seed ...