ITEM-BASED COLLABORATIVE FILTERING BASED ON NLP TECHNIQUES
DOI:
https://doi.org/10.31649/1999-9941-2021-51-2-17-22Keywords:
NLP techniques, Word2Vec, CountVectorizer, cosine similarity, embeddings, content based system, content based recommendation, user based recommendationAbstract
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.
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