Svd, Dimensionality Reduction, Latent Semantic Indexing, Machine Learning, Similarity Search.
dimensional vector space into a lower dimensional vector space. Through SVD, we can represent the terms(words) and documents into a set of latent(hidden) concepts. Mathematically, it is represented as a product of 3 matrices. This is just to say that weight of a word (ti) in a document (dj) is