https://github.com/coderjolly/news-recommender

This is a news recommender system that uses beautiful-soup to scrape news articles, their categories and descriptions to create a data dump. It then uses word embedding techniques such tf-idf, word2vec for content based news recommendation and LightRF, LightFM to explore hybrid and collaborative filtering based recommender models.

collaborative-filtering lightrf nlp-machine-learning nltk-python recommendation-system recommender-system tf-idf-vectorizer

Last synced: 27 Mar 2025