Editor’s Note: The SCM thesis Reducing Oil Well Downtime with a Machine Learning Recommender System was authored by Jesús Madrid and Andrew Min and supervised by Dr. Cansu Tayaksi ([email protected]).
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 ...
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 ...
In this article, we take a look at the role recommender systems are playing when it comes to offering a much more personalised and powerful eCommerce experience to your website users. Users love it ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results