Recommendation System.
embedding, rooted in the distributional hypothesis, maps words into low-dimensional vectors. Techniques such as Latent Semantic Indexing, Random Indexing, and Word2Vec become the tools of choice, leveraging massive textual corpora to decipher the meaning of words through their contextual usage.