[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

An unsupervised text summarization and information retrieval library under the hood using natural language processing models

An implementation of Harald Steck's Calibrated Recommendations approach to re-ranking

A Python 3.12 implementation of the Schulze method for ranking candidates.

project go ranking algorithms base on reddit ranking algorithms

Information Retrieval Models

Written as a project for the SC435: Complex Netwoks course @ DA-IICT. It attempts to recreate the results found by Dr. Satyam Mukherjee during his research.

Research in the field of Information Retrieval and Web Analytics (IRWA). The project involves the development of a search engine using Python 3, implementing various indexing and ranking algorithms.

Calculate score to sort things by on the web based on upvotes or “stars”, using lower bound of Wilson score confidence interval for a Bernoulli parameter.

Natural Language Processing (NLP) and Information Retrieval (IR) Resources I have used and that have helped me work on a search engine for the past 1.9 years.

For of a repository for a project of the course Information Retrieval IN4325 at TU Delft.

This repository contains files and information about step 4 of Kaphta Architecture: System for the retrieval and ranking of indexed information, using the R language.

Proyecto final de Procesamiento de Grandes Volumenes de Datos 2020-2

My thesis on ranking algorithms, submitted in partial fulfilment of the requirements for the degree of Masters of Science in Computer Science (Data Analytics).

Document ranking using different algorithms