Business Wire

Rubber Ducky Labs Raises $1.5 Million to Build Operational Analytics for Recommender Systems

SAN FRANCISCO--(BUSINESS WIRE)--Rubber Ducky Labs, a company dedicated to making recommender systems easier to build and imbue with human knowledge, today announces $1.5 million seed investment round ...
BBC

Addressing the cold start problem in recommender systems

BBC iPlayer has a constant stream of new users and content. How can we make recommendations when there isn't enough information about either? Recommender systems are a significant class of machine ...
Miami University

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 Inventory (PELI-NH) to assess important preferences and provide person-centered care find the number of items to be a barrier to using the ...