learning-to-rank topic
TALR
Code for CVPR 2018 paper "Hashing as Tie-Aware Learning to Rank"
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
fastrank
My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".
SERank
An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed bas...
ranknet-tensorflow2.0
Implementation of RankNet to LambdaRank in TensorFlow 2.0
elasticsearch-ltr-demo
This demo uses data from TheMovieDB (TMDB) to demonstrate using Ranklib learning to rank models with Elasticsearch.
src
tools for fast reading of docs
fxt
A large scale feature extraction tool for text-based machine learning
Ranking_SVM
Ranking SVM for recommendation
mab-ranking
Online Ranking with Multi-Armed-Bandits