https://github.com/shudhanshurp/news_recommendation_system
This repository presents a News Recommendation System using Azure Data Factory, Azure Databricks, and Azure Data Lake to create a data pipeline for ML models. It uses BERT for content-based filtering, Neural Collaborative Filtering for user behaviors, and a hybrid model that combines both to enhance news recommendations.
https://github.com/shudhanshurp/news_recommendation_system
azure azure-data-factory azure-data-lake azure-databricks bert-embeddings ncf pyspark recommendation-system
Last synced: 7 months ago
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This repository presents a News Recommendation System using Azure Data Factory, Azure Databricks, and Azure Data Lake to create a data pipeline for ML models. It uses BERT for content-based filtering, Neural Collaborative Filtering for user behaviors, and a hybrid model that combines both to enhance news recommendations.
- Host: GitHub
- URL: https://github.com/shudhanshurp/news_recommendation_system
- Owner: shudhanshurp
- Created: 2024-09-26T21:35:35.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-01-11T01:14:17.000Z (9 months ago)
- Last Synced: 2025-01-11T02:25:53.528Z (9 months ago)
- Topics: azure, azure-data-factory, azure-data-lake, azure-databricks, bert-embeddings, ncf, pyspark, recommendation-system
- Language: Jupyter Notebook
- Homepage:
- Size: 55.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files: