With the growing dominance of online platforms in the media, creative, and cultural industries (MCCI), recommender systems have become omnipresent in MCCI, ...

In experiments, the researchers analyzed the performance of recommender systems on the MovieLens data set, a corpus of over 1 million movie ratings collected by the GroupLens research group.

Recommender systems are a significant class of machine learning models and, for most of us, an integral part of daily life. Indeed, good recommendations are crucial for curating content in digital ...

An interactive recommender system using a novel, drag-and-drop user interface and a fast, client-side recommender. Sibyl is a fast, interactive recommender system that helps you find interesting ...

The recommender usually writes one general letter of recommendation and uses the electronic link to send the letter to CAS. Alternatively, the recommender can send their letter along with the ...

Abstract We investigate the impact of collaborative filtering recommender algorithms (e.g., Amazon’s “Customers who bought this item also bought”) commonly used in e-commerce on sales diversity. We ...