Recommender systems are present at nearly every step of the purchase process on e-commerce platforms. Companies like Amazon, Netflix, and Google use machine learning algorithms to predict users’ ...

Recommender systems form an integral component of modern digital platforms, providing personalised suggestions by filtering through vast amounts of data. These systems largely rely on collaborative ...

Natural Language Processing (NLP) is rarely used in recommender systems, let alone in movie recommendations. The most relevant research on this topic is based on movie synopses and Latent Semantic ...

A machine learning recommender system to tailor preference assessments to enhance person-centered care among nursing home residents Nursing homes (NHs) using the Preferences for Everyday Living ...

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’ ...

Finding an ideal restaurant is always a struggle for newcomers and sometimes even for local people, who are looking for places new and exciting to go. Inspired by such a challenge, we aim to build a ...

Steam's Interactive Recommender, which is part of its new Steam Labs initiative, uses machine learning to accomplish its goals.