#embeddings

Negative sampling trains a model by contrasting each observed positive with a small set of sampled alternatives instead of every item in the catalog.

Two-tower architecture is a neural network approach used in recommendation systems for candidate generation and retrieval.

GloVe (Global Vectors for Word Representation) is a word embedding technique developed in 2014.

Word embedding is a representation of a word, usually with a vector of values.

Word2Vec is a approach for learning word embeddings.

fastText is a library for efficient text classification and word representation learning by Facebook.