Júlio Guedes

Similarity-Based Explanations meet Matrix Factorization via Structure-Preserving Embeddings

Embeddings are core components of modern model-based Collaborative Filtering (CF) methods, such as Matrix Factorization (MF) and Deep Learning variations. In essence, embeddings are mappings of the original sparse representation of categorical features (e.g., user and items) to dense low-dimensional representations. A…