Item2Vec - Word2Vec from gensim wrapped as sklearn estimator for GridSearchCV

Prod2Vec or Item2Vec produces embedding for items in a latent space. The method is capable of inferring item-item relations even when user information is not available. It's based on NLP model Word2Vec. Click here to know more

This project provide a class that encapsulates Item2Vec model (word2vec gensim model) as a sklearn estimator.

It allows the simple and efficient use of the Item2Vec model by providing :

• metric to measure the performance of the model (Precision@K) …

gridsearchcv languagetechnology sklearn word2vec