Tensorflow implementations of various Learning to Rank (LTR) algorithms.
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Jun 14, 2018 - Python
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lambdarank
Here are 20 public repositories matching this topic...
train models in pytorch, Learn to Rank, Collaborative Filter, Heterogeneous Treatment Effect, Uplift Modeling, etc
learning-to-rank ndcg uplift-modeling ranknet lambdarank pytorch-implementation pytorch-ranking heterogeneous-treatment-effects inverse-propensity-score positional-bias
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Mar 9, 2026 - Python
Implementation of RankNet to LambdaRank in TensorFlow 2.0
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Mar 25, 2023 - Python
Code repo of solution of 11th place in Recsys Challenge 2022
solutions re-ranking ranking recommender-systems user-collaborative-filtering item-collaborative-filtering ensemble-machine-learning content-based-filtering lambdarank deep-recsys lightgbm-models lgbmranker
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Jul 13, 2022 - Jupyter Notebook
This module implements LambdaRank as a tensorflow OP in C++. As an example application, we use this OP as a loss function in our keras based deep ranking/recommendation engine. The ranking application embeds slide objects into d-dimensional space(slide2vec), such that we obtain best LambdaRank scores.
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Jan 21, 2019 - Python
RocAuc Pairiwse objective for gradient boosting
openmp cuda ranking gpu-acceleration gpu-computing binary-classification gradient-boosting-classifier cython-wrapper pairwise gradient-boosting gpu-accelerated-library lambdarank cuda-programming pairwise-ranking
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May 19, 2023 - Python
ctr and rank model used by keras
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Jul 27, 2022 - Python
Two-stage music recommender: PyTorch two-tower retrieval and an XGBoost LambdaRank ranker on Music4All-Onion, scored on a split by time against ALS, with a popularity-bias and genre-fairness analysis.
machine-learning lastfm music-recommendation pytorch collaborative-filtering xgboost learning-to-rank recsys recommender-system fairness faiss lambdarank shap fastapi popularity-bias two-tower
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Nov 3, 2026 - Python
Large-scale e-commerce recommendation engine with memory-efficient co-visitation, leakage-safe evaluation, feature engineering, and LightGBM LambdaRank reranking.
python machine-learning ecommerce data-engineering lightgbm learning-to-rank recommender-system feature-engineering lambdarank recomendation-system candidate-generation polars co-visitation
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Jul 26, 2026 - Python
Two-stage movie recommender (two-tower retrieval then LambdaRank re-ranking) on MovieLens 100K
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Oct 12, 2026 - Jupyter Notebook
Ranklib for .NET is an open source learning to rank library
search machine-learning ltr ml ranking learning-to-rank ranknet mart lambdarank ranklib lambdamart adarank rankboost
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Nov 29, 2024 - C#
Intelligent candidate ranking system for the Redrob India Runs Data & AI Challenge. Ranks 100K profiles for a Senior AI Engineer JD in 52s on CPU using XGBoost LambdaRank with 43 engineered features + self-supervised pseudo-labels. 100% Precision@100.
python information-retrieval xgboost learning-to-rank mlp self-supervised-learning lambdarank streamlit candidate-ranking recuritment hiring-ai freature-engineering redrob india-runs machice-learning
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Jul 2, 2026 - Python
City activity recommender: 6 recall paths, 3 fusion strategies, 15-model offline benchmark with ablations
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Oct 22, 2026 - Python
Reproducible evaluation suite for REPATH, a confidence-calibrated learning-to-rank approach for self-healing Web UI test locators.
benchmarking test-automation lightgbm learning-to-rank reproducibility software-testing web-testing lambdarank confidence-calibration repath web-ui-testing self-healing-tests element-matching locator-repair
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Oct 30, 2026 - Jupyter Notebook
A command line tool for training and evaluating ranking models using LightGBM and FastTree
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Mar 18, 2025 - C#
Processing-form ladder construction and learning-to-rank pipeline for CITES trade-review candidate prioritisation
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Nov 1, 2026 - Python
Using NLP techniques (word and sentence embedding tools like SBERT and Learning-to-Rank systems like RankNet and LambdaRank) to rank candidates.
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Dec 11, 2024 - Jupyter Notebook
Exploration of retrieval methods on the HotpotQA corpus, combining dense retrieval and feature-based reranking. Achieved a mean nDCG@10 of 0.9416 using LambdaRank with features such as cross-encoder score, LLM score, BM25 score, and token-based statistics—surpassing dense retriever + cross-encoder baselines.
retrieval retrieval-systems lambdarank hotpotqa cross-encoder dense-retrieval qa-reterival llm-ranking
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Oct 31, 2025 - Python
Two-stage session-based recommender (LightGBM LambdaRank) for an Inditex hackathon. Cold-start focused, 93% of sessions have no user history. NDCG@5 = 0.377, Hit Rate@5 = 76%.
python ecommerce word2vec lightgbm learning-to-rank cold-start recommender-systems item2vec lambdarank session-based-recommendation-system session-based-recommendation duckdb dbt-fusion
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Apr 18, 2026 - Python
Learning-to-rank losses and evaluation
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Nov 3, 2026 - Rust
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