[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

A Python 3.14 implementation of the Schulze method for ranking candidates.

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

AdaTT: Engineering implementation of facebookresearch/AdaTT, a PyTorch-based multitask learning framework for recommendation with flexible feature engineering.

🔎 Information Retrieval System integrating web crawling, structured scraping, mathematical retrieval models, vector representations, and ranking algorithms to deliver relevant, well‑positioned search results.

Hermes is the universal intelligence system, embodying the mythic guide who sees everything and navigates the unknown for anyone. It is a multimodal AI platform integrating deep ranking, retrieval, and generative models to orchestrate vast datasets, delivering precise, personalized recommendations and conversational insights across all domains.

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.

project go ranking algorithms base on reddit ranking algorithms

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.

A Machine Learning Microservice for Knox

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.

Information Retrieval Models

UrbanSphere is a powerful tool designed to assist potential buyers and residents by evaluating and ranking sub-districts of cities. It uses diverse parameters such as air quality, water quality, crime rate, and proximity to essential facilities to highlight the best areas for your needs.

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.

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

Python-based local search engine for academic papers from arXiv, featuring web crawling, text processing, inverted indexing, and ranked retrieval (Information Retrieval, UNIWA).

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.

Technical seminar exploring the architecture and algorithms behind modern web search engines, including BM25, DPR, and hybrid retrieval models.

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