Word2Vec applied to Recommendation: Hyperparameters Matter

1 code implementation • 11 Apr 2018 • Hugo Caselles-Dupré, Florian Lesaint, Jimena Royo-Letelier

Skip-gram with negative sampling, a popular variant of Word2vec originally designed and tuned to create word embeddings for Natural Language Processing, has been used to create item embeddings with successful applications in recommendation.

Word Embeddings