Latent factors

Latent factors are hidden building blocks that shape user preferences and item characteristics. They are not directly observable but are inferred from the data through a process called dimensionality reduction. These underlying characteristics or hidden dimensions explain the patterns in the interactions between users and items.Furthermore , they also influence the user interactions (like ratings, … Read more about “Latent Factors – The Hidden Structure”