Lecture
Recommender Systems and Structure Discovery
Description
This lecture covers the concepts of recommender systems, including dimensionality reduction, latent factor models, and rating prediction. It also delves into structure discovery through clustering algorithms like K-Means, Spectral Clustering, and Hierarchical Agglomerative Clustering. The instructor explains the challenges of choosing the optimal number of clusters and provides insights on evaluation methods and performance metrics.
Official source
About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.