Google quietly published a research paper on personalized semantics for recommender systems like Google Discover and YouTube.
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 ...