ITEM-BASED COLLABORATIVE FILTERING BASED ON NLP TECHNIQUES

Abstract

The benchmark approach to content-based recommendation systems is exposed in this article. The usage of Word2Vec embeddings made by Google is unleashed. The opportunity of using additional business logic is considered.