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learning-to-rank

Here are 134 public repositories matching this topic...

philipphager / ultr-reproducibility

SIGIR 2024 - Unbiased Learning to Rank Meets Reality: Lessons from Baidu's Large-Scale Search Dataset

learning-to-rank click-model unbiased-learning-to-rank mono-bert

Updated May 1, 2024
Python

adamjq / opensearch-learning-to-rank-example

POC of Learning to Rank with Opensearch

docker elasticsearch ltr learning-to-rank opensearch

Updated May 1, 2024
Shell

mrhhyu / ELTRA

Python source code and data for ELTRA, a double-vector embedding method to preserve asymmetric information in directed graphs

python graph learning-to-rank graph-embedding tensorflow2 link-based-similarity

Updated Apr 16, 2024
Python

zhangyikaii / Model-Spider

The code repository for "Model Spider: Learning to Rank Pre-Trained Models Efficiently"

model-selection learning-to-rank transfer-learning large-models training-paradigms learnware pre-trained-model model-reuse

Updated Apr 12, 2024
Python

webis-de / sigir20-sampling-bias-due-to-near-duplicates-in-learning-to-rank

Sampling Bias Due to Near-Duplicates in Learning to Rank

information-retrieval duplicates learning-to-rank bias sigir sigir2020

Updated May 6, 2024
Kotlin

Scheggetta / coliee24

Legal case retrieval challenge. Solution based on similarity search and learning-to-rank methods

embeddings learning-to-rank tf-idf bm25 similarity-search catboost gpt-3

Updated Apr 6, 2024
Python

frutik / awesome-search

Awesome Search - this is all about the (e-commerce, but not only) search and its awesomeness

Updated Apr 6, 2024
HTML

longtuge-w / Stock-Price-Prediction-by-Machine-Learning-and-Deep-Learning

portfolio finance machine-learning deep-neural-networks deep-learning neural-network machine-learning-algorithms neural-networks classification stock-price-prediction learning-to-rank machinelearning deeplearning quantitative-finance backtesting-trading-strategies backtesting regreesion

Updated Apr 3, 2024
Python

Kaimary / MetaSQL

ICDE 2024 Paper, MetaSQL: A Unified Generate-then-Rank Framework for Natural Language to SQL Translation

learning-to-rank semantic-parsing natural-language-interface text-to-sql generate-and-rank

Updated Mar 27, 2024
Python

pngo1997 / LETOR

Implementation of Learning to Rank algorithm.

python information-retrieval learning-to-rank inverted-index text-processing

Updated Mar 22, 2024
HTML

tensorflow / ranking

Learning to Rank in TensorFlow

machine-learning information-retrieval deep-learning ranking learning-to-rank recommender-systems

Updated Mar 18, 2024
Python

federicoparroni / recsys2019

The complete code and notebooks used for the ACM Recommender Systems Challenge 2019

challenge recurrent-neural-networks xgboost recommender lightgbm learning-to-rank acm recommender-system recommender-systems recommendation-algorithms catboost tensorflow-ranking

Updated Apr 3, 2024
Jupyter Notebook

zwx8981 / UNIQUE

The repository for 'Uncertainty-aware blind image quality assessment in the laboratory and wild' and 'Learning to blindly assess image quality in the laboratory and wild'

deep-neural-networks matlab pytorch learning-to-rank image-quality-assessment blind-image-quality-assessment

Updated Mar 8, 2024
Python

collie

ShopRunner / collie

A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.

python deep-learning pytorch datascience recommendation-system learning-to-rank recommender-system implicit hybrid

Updated Feb 21, 2024
Python

julilien / PLDepth

Code for "Monocular Depth Estimation via Listwise Ranking using the Plackett-Luce Model" as published at CVPR 2021.

machine-learning deep-learning learning-to-rank cvpr weakly-supervised-learning preference-learning monocular-depth monocular-depth-estimation plackett-luce cvpr2021 relative-depth

Updated Feb 3, 2024
Python

abhi1345 / deep-q-rank

A deep reinforcement learning approach to search engine ranking (PyTorch). Final Project for UC Berkeley's CS 285: Deep Reinforcement Learning, Decision Making, and Control

information-retrieval deep-reinforcement-learning learning-to-rank deep-q-network deep-q-learning

Updated May 5, 2024
TeX

oliveiract / Insurance-Company-Ranking

This repository contains files and script to develop an interest ranking algorithm, for an Insurance Company. The objective of the project is to reduce the time and costs associated with prospecting customers and, at the same time, increase revenue. (Student Project 4 / DS Community)

api flask machine-learning google-sheets render google-apps-script learning-to-rank insurance-company classification-algorithm cross-sell lightgbm-classifier render-cloud-application-hosting api-flask

Updated Jan 17, 2024
Jupyter Notebook

lyst / lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

python machine-learning matrix-factorization recommender learning-to-rank recommender-system

Updated Dec 24, 2023
Python

sorooshsorkhani / RankLib-Gini

Gini feature importance for RankLib random forests:

learning-to-rank gini random-forests ranklib ranklib-gini gini-importance

Updated Dec 19, 2023
Python

khalil-research / leo

LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams

learning-to-rank binary-decision-diagrams multiobjective-optimization blackbox-optimization

Updated Dec 1, 2023
C++

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