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mahnoorsheikh16 / Two-Stage-News-Recommendation-System

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A scalable two-stage news recommender that retrieves relevant candidates and reranks them using hybrid lexical and semantic features to optimize top-K recommendation quality.

nlp xgboost logistic-regression hit ndcg priors lexical-semantics mlp-classifier mrr distilbert microsoft-newsqa-dataset candidate-generation content-similarity ranking-models hard-negatives news-recommendation-system mind-dataset ndcg-ranking
  • Updated Jan 16, 2026
  • Jupyter Notebook

Freya-Ng / Performance-Analysis-of-ENSFM-Recommendation-Systems-on-Modern-E-Commerce-Datasets

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This project implements and evaluates ENSFM for recommendation systems on modern, large-scale e-commerce datasets. The research focuses on assessing the scalability, efficiency, and accuracy of ENSFM when applied to real-world datasets from Amazon Books and Yelp

recommendation-system recommender-system onehot-encoding recall-precision context-aware-recommender-system ndcg-ranking ensfm
  • Updated Oct 29, 2025
  • Jupyter Notebook

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