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.
https://github.com/coderjolly/news-recommender
collaborative-filtering lightrf nlp-machine-learning nltk-python recommendation-system recommender-system tf-idf-vectorizer
Last synced: 3 months ago
JSON representation
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.
- Host: GitHub
- URL: https://github.com/coderjolly/news-recommender
- Owner: coderjolly
- License: gpl-3.0
- Created: 2023-02-18T00:25:06.000Z (over 2 years ago)
- Default Branch: master
- Last Pushed: 2023-05-18T07:45:36.000Z (about 2 years ago)
- Last Synced: 2025-02-02T02:11:55.567Z (5 months ago)
- Topics: collaborative-filtering, lightrf, nlp-machine-learning, nltk-python, recommendation-system, recommender-system, tf-idf-vectorizer
- Language: Jupyter Notebook
- Homepage:
- Size: 1.48 MB
- Stars: 1
- Watchers: 1
- Forks: 1
- Open Issues: 0