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 ...
Noozhawk

Researchers Receive Google Grant to Build Better Conversational Recommender Systems

Click to share on Facebook (Opens in new window) Click to email a link to a friend (Opens in new window) Click to print (Opens in new window) Click to share on X (Opens in new window) An emerging ...
Digital Journal

From bias to understanding: A causal path toward trustworthy recommendation

Now, a research team led by the University of Michigan has brought this rigorous frontier to one of AI’s most ubiquitous and influential applications: recommendation systems. Their groundbreaking work ...
Forbes

Auto-Evaluation: A New Lens For AI Relevance

Artificial intelligence is now central to how digital platforms decide what to show—whether a post in your feed, search result or product suggestion. Traditionally, these systems focused on engagement ...