PatchTST-based stock ranking model trained with LambdaRank loss on KRX data. Crafted by 🍡 DungiBomi
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May 1, 2025 - Jupyter Notebook
#
ranking-models
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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
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Jan 16, 2026 - Jupyter Notebook
🔍 Explore info retrieval! Index compression, inverted index, ranking models (TF-IDF, BM25, language model), LSI, K-means, hierarchical cluster. Uncover insights efficiently! 🚀📚
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Jan 29, 2024 - Jupyter Notebook
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