---
title: EU Legal Recommender System
emoji: 📚
colorFrom: blue
colorTo: indigo
sdk: streamlit
sdk_version: "1.24.0"
app_file: recommender/streamlit_app/app.py
pinned: false
---

# EU Legal Recommender System

A recommender system for EU legal documents that provides personalized recommendations based on semantic similarity and categorical features. The system includes a complete pipeline from data scraping to interactive recommendation delivery via a Streamlit web application.

## Thesis Context

**Student:**  
Alexander Benady

**University:**  
IE University - Bachelor in Data and Business Analytics (BDBA)

**Thesis Advisor:**  
Prof. Borja González del Regueral

**Partner Organisation:**  
[Vinces Consulting](https://www.vincesconsulting.com/)

## About This Demo

This Hugging Face Space provides a demonstration of the recommender component of the full EU Legal Recommender system. The system features:

- **Legal-BERT Embeddings**: Specialized embeddings for legal text understanding
- **Hybrid Recommendation**: Combines semantic similarity with categorical preferences
- **Personalized Profiles**: Customizable client profiles with industry-specific preferences
- **Interactive Web Interface**: Explore recommendations through a user-friendly Streamlit application

## Using This Demo

You can:

1. Enter queries to find relevant EU legal documents
2. Select from pre-configured client profiles for industry-specific recommendations
3. View document details and summaries
4. Explore similar documents

## Client Profiles

The system includes pre-configured client profiles for various industries. These profiles demonstrate how the recommender can be tailored to specific business needs.

Each profile contains:
- An expert description of business interests
- Historical documents the client has engaged with
- Categorical preferences for document types, subject matters, etc.
- Component weights for the recommendation algorithm

## Full Project

The complete project, including the scraper and summarization components, is available on GitHub:

[https://github.com/alexanderbenadyieu/eu-legal-recommender](https://github.com/alexanderbenadyieu/eu-legal-recommender)

## Acknowledgements

This project was developed by Alexander Benady as part of an undergraduate thesis at IE University in collaboration with Vinces Consulting.