Профильное Задание VK

In this repo, I attempt to quantify the search relevance of different query settings using the Normalized Discounted Cumulative Gain (NDCG).

This Repo contains my Notebook for Airbnb new user booking competition on Kaggle platform

Information Retrieval Metrics Simulation

This repository contains python program which ranks the page URLs on the basis of their DCG and nDCG score. the Microsoft Learning Dataset is used to test the program.

Data ranking with CatBoost, XGBoost

A port of gdeval.pl to Rust

Machine learning competition on kaggle

Galago related homeworks of Information Retrieval Course

Delve into the exciting world of Applied Machine Learning to deliver personalized anime recommendations! This project is designed to help anime enthusiasts discover new series tailored to their unique preferences, enhancing their viewing experience.

Plots for search metrics nDCG and ERR

🔍 A Python Search Engine with building index using TF-IDF and NDCG, also include a Flask web app. UCI Information Retrieval Project.

Re-ranking documents optimising NDCG measure with XGBRanker model

🔝 HW1 of Intelligent Information Retrieval MSc Course ECE@UT

bert-ndcg for LP(Link Prediction)，链接预测

normalized discounted cumulative gain

Scripts to perform pairwise t-test on TREC run files

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.

machine learning framework for node.js