Information Retrieval · FIB-UPC

CAIM IR Explorer

Explore core information retrieval ideas interactively: run PageRank on the global airport network with a world-map visualization, and fit Zipf's Law on real text corpora.

View Source on GitHub

Carregant…

About this project

Originally lab exercises for the CAIM (Search and Analysis of Information) course at FIB-UPC, covering PageRank, Zipf/Heap laws, TF-IDF, Rocchio, MapReduce, and graph analysis. This full-stack web app reimplements the PageRank and Zipf algorithms in Python (FastAPI) with a Vanilla TypeScript + D3.js frontend — no UI framework, just plain TypeScript managing the DOM directly.

Previous Recommendation System Software engineering course project: a content-based recommendation system built in Java with Spring Boot and Thymeleaf, including a full web interface.
  • Java
  • Spring Boot
  • Recommendation
 Next Trip Planner (Expert System) Knowledge-based systems course project: an expert system trip planner originally written with CLIPS production rules, reimplemented in Python.
  • HTMX
  • Alpine.js
  • Litestar
  • Expert System

More Projects

Draculin
  • Flutter
  • Django
  • AI
BitsXLaMarató — Aorta
  • PyTorch
  • OpenCV
  • 3D
  • CV
Bachelor's Thesis — Polyp Detection
  • PyTorch
  • CycleGAN
  • Object Detection
  • UPC
Travel agency (PDDL)
  • PDDL
  • Planning
  • UPC