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

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 ...

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 ...

For example, movie and ecommerce recommendation systems can learn at a slower pace while an application that recommends who to follow on Twitter is bound to change frequently, forcing a ...

We evaluated the proposed elearning recommender system against exiting e-learning recommender systems that use similar filtering techniques in terms of recommendation accuracy and learners’ ...

Even in our current environment, where algorithms are limited by the computing power of GPUs, recommendation systems have a remarkable influence on our everyday lives.

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

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 ...