Recommender systems have been widely adopted by electronic commerce and entertainment industries for individualized prediction and recommendation, which benefit consumers and improve business ...

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?

In a preprint paper, researchers find evidence of bias in the sorts of recommendation algorithms that surface TV shows on streaming platforms.

Recommender systems that inform consumers about their likely ideal products have become the cornerstone of e-commerce platforms that sell products from competing manufacturers. Using a model of an ...

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

Online "recommender systems" are used to suggest highly rated selections for book buyers, movie renters or other consumers, but a new study by University of Minnesota computer science researchers ...