Evalica, your favourite evaluation toolkit

A visual complexity dataset across seven different categories, including Scenes, Advertisements, Visualization and infographics, Objects, Interior design, Art, and Suprematism for computer vision application.

An interactive web application for comparing entities using the pairwise comparison method

An interactive Shiny App for UpSet plots, Venn diagrams and Pairwise heatmaps

🏫 🇧🇩 Fuzzy-AHP-based recommendation system for secondary schools in Bangladesh

用于两两比较图像质量主观评价django-web项目

Fast, large scale library for computing rankings and features based on various pairwise and graph algorithms

A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.

Predicting missing pairwise preferences from similarity features in group decision making and group recommendation system

Framework for using LLMs to grade texts by using pairwise comparisons.

Adversarial Preference Learning with Pairwise Comparisons for Group recommendation System

Sampling algorithm for best-worst scaling sets.

A personality-aware group recommendation system based on pairwise preferences

A web-based tool for making complex decisions using the Analytic Hierarchy Process (AHP) through pairwise comparisons.

Concept-Guided Chain-of-Thought (CGCoT) pairwise annotation tool for systematic text evaluation using LLMs. Generate breakdowns, compare items, compute scores, and validate against human judgments. Supports Ollama, Hugging Face, Google Gemini, OpenAI, and Anthropic models.

CRBHits - a reimplementation of the Conditional Reciprocal Best Hit algorithm in R.

Derives a ranking from pairwise comparisons

An easy to use Amazon Recommendation System using Cosine Similarity.

Analysis of Swiss-system tournaments

R Package: Pairwise Comparison Tools for LLM-Based Writing Evaluation

Code for "Learning the Relation Between Mobile Encounters and Web Traffic Patterns: A Data-driven Study" MSWiM 2018 (ACM: https://dl.acm.org/citation.cfm?id=3242137, Tech Report: https://arxiv.org/abs/1808.03842)

Learning to rank (LTR) with noisy labels and simulation of how noise affects quality of ranking

Large Language Model Feedback Analysis and Optimization (LLMFAO)

An Evaluation Dataset for Crowdsourced Pairwise Comparisons

Two Group Recommendation Approaches based on the Contribution of the Users and Pairwise Preferences

A Bayesian tool for discovering your true preferences

Compact Letter Display (CLD) in Julia

For this Project, I first applied an analysis of variance (ANOVA) model to the Pymaceutical dataset and then did a post-hoc analysis of the results by using Tukey Honest Significant Difference (HSD) to determine which drug treatments in the dataset significantly reduce tumor volume and metastasis. I then wrote a summary of my findings.

A reproducible AHP (Analytic Hierarchy Process) model ranking favorites for the FIFA World Cup 2026. Criteria and consistency checks are built in Excel; a minimal Python script reads the Results sheet, exports a sorted CSV, and generates a horizontal bar chart with in-bar percentage labels.

Group Recommendation Systems with Diversity-based Clustering and Game Theory