learning-to-rank topic

Reference Implementation for WSDM 2018 Paper "Hyperbolic Representation Learning for Fast and Efficient Neural Question Answering"

vanzytay

Code for CVPR 2019 paper "Deep Metric Learning to Rank"

kunhe

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

ShopRunner

Must-read Papers for Recommender Systems (RS)

hegongshan

Official repository of RankEval: An Evaluation and Analysis Framework for Learning-to-Rank Solutions.

hpclab

CVPR 2019: Ranked List Loss for Deep Metric Learning, with extension for TPAMI submission

XinshaoAmosWang

This is official Pytorch code and datasets of the paper "Where Are the Facts? Searching for Fact-checked Information to Alleviate the Spread of Fake News", EMNLP 2020.

nguyenvo09

TensorFlow implementation of our paper: Cross Pairwise Ranking for Unbiased Item Recommendation (WWW'22)

Qcactus

Convolutional Neural Networks for Soft-Matching N-Grams in Ad-hoc Search

yunhenk

Implementation of SetRank in SIGIR 2020

pl8787