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 ...

Naji Ahmad Albatayneh, Khairil Imran Ghauth, Fang-Fang Chua, Utilizing Learners’ Negative Ratings in Semantic Content-based Recommender System for e-Learning Forum, Educational Technology & Society, ...

An ontology-based product-recommender system can help catalog administrators in B2B marketplaces maintain up-to-date product databases by acquiring mapping information between the new product data and ...

Streaming giant Spotify’s popularity is due in part to its uncanny ability to sift through a library of more than 82 million tracks to match the tastes of each of its 500 million monthly active users.

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

With EU elections looming in 2024, reforming social media recommender systems is crucial to protect democratic discourse and the future of democracy, write Jan Nicola Beyer and Sofia Calabrese.

Robin Burke is very familiar with the original news recommender system. Before he was a respected expert in the recommender systems that are key to digital life—everything from suggesting the next ...

Nvidia Corp. today announced a major upgrade to its Nvidia AI and Nvidia AI Enterprise platforms, with new features designed to advance workloads such as speech, recommendation systems, hyperscale ...