Best Practices on Recommendation Systems
azure
microsoft
machine-learning
python
deep-learning
kubernetes
data-science
artificial-intelligence
jupyter-notebook
tutorial
operationalization
ranking
rating
recommendation
recommendation-algorithm
recommendation-engine
recommendation-system
recommender
Обновлено 2024-09-17 05:40:34 +03:00
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
machine-learning
microsoft
python
distributed
data-mining
decision-trees
gbdt
gbm
gbrt
gradient-boosting
kaggle
lightgbm
parallel
r
Обновлено 2024-09-16 05:54:06 +03:00
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR
Обновлено 2023-06-12 21:21:58 +03:00
Submission archive for the MS MARCO passage ranking leaderboard
Обновлено 2022-11-30 20:23:53 +03:00
Self-Supervised Document-to-Document Similarity Ranking via Contextualized Language Models and Hierarchical Inference
Обновлено 2022-11-28 22:08:28 +03:00
A fast numpy-based implementation of ranking metrics for information retrieval and recommendation.
Обновлено 2022-08-22 22:05:09 +03:00
Submission archive for the MS MARCO document ranking leaderboard
Обновлено 2022-06-21 04:01:05 +03:00
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage/document ranking
Обновлено 2022-01-03 19:13:01 +03:00
EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"
Обновлено 2021-01-22 11:17:14 +03:00
Deep Neural Network based Image Similarity ranking on Azure using CNTK
Обновлено 2020-03-10 20:38:16 +03:00