Publications by authors named "Amany Sami"
Article Synopsis
- Traditional recommendation systems often face challenges like low accuracy and cold-start issues, prompting the need for more effective solutions.
- The HRS-IU-DL model is a new hybrid recommendation system that combines user-based and item-based Collaborative Filtering, Neural Collaborative Filtering, and Recurrent Neural Networks with Content-Based Filtering to improve accuracy and relevance in personalized suggestions.
- Evaluated on the Movielens 100k dataset, the HRS-IU-DL model shows substantial improvements in performance metrics like RMSE and Precision, outperforming existing methods and addressing critical challenges in the field.
