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
Here are 5 public repositories matching this topic...
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
Hybrid prompt generation framework combining templates, LLMs, ensemble scoring, and neural ranking trained from human-in-the-loop feedback.
nlp machine-learning ensemble-learning human-in-the-loop interpretability adaptive-systems shap streamlit sentence-transformers large-language-models llm prompt-engineering hybrid-ai ranking-models
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Apr 18, 2026 - Python
🔍 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
Predict next-month SKU demand for 100k+ retail shops. The system recommends top SKUs per shop and generates structured LLM explanations describing the demand signals behind each recommendation.
machine-learning predictive-analytics demand-forecasting fmcg explainable-ai recommendation-systems large-scale-ml ml-systems retail-analytics ranking-models retail-demand llm-applications sku-prediction ai-explanations
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Apr 14, 2026 - Python
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