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

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

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 ...

The new system uses a 'neural network model' to learn what you like, and give you popular or niche recommendations.

The Interactive Recommender uses machine learning, which Valve notes “all the cool kids are doing,” for what sounds like a collaborative filtering system.

Recommender systems are a significant class of machine learning models and, for most of us, an integral part of daily life.

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 ...