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What is Neural Collaborative Filtering for News Recommendations about?

This study presents a news recommender system that utilizes neural collaborative filtering combined with Sentence BERT to enhance recommendation accuracy based on news titles and content. The system was evaluated using a dataset of 50,000 users and achieved high precision (99.14%), recall (92.48%), and an ROC score of 98%. The results indicate that the proposed method outperforms traditional collaborative filtering approaches in recommending relevant news articles.

Author

duckiez2740

Language

EN