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’ ...

These systems utilise an array of techniques—including collaborative filtering, machine learning, and deep learning—to predict items of potential interest, thereby enhancing user engagement ...

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 ...

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

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 ...

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 ...

Let's discuss how machine learning has evolved the marketing industry and how companies leverage it for profits and growth.

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

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, ...