Teaching
Selected teaching materials from university courses, labs, tutorials, and workshops. Materials include lecture slides, hands-on labs, and practical student projects.
Teaching in Information Retrieval & Recommender Systems
University of Milano-Bicocca · 2022-2026
Selected materials from my lectures and labs in Information Retrieval and Recommender Systems, with a focus on evaluation, neural retrieval, modern retrieval systems, and hands-on experimentation.
Lecture Slides
Introduction to Neural IR
Lecture slides introducing neural information retrieval models, dense retrieval, neural ranking, and modern retrieval pipelines.
On the Intersection of IR, LLMs, ConvAI, RAG and Agents
Overview lecture connecting information retrieval, recommender systems, large language models, conversational AI, retrieval-augmented generation, and agentic systems.
On the Evaluation of IR Systems
Lecture slides on evaluating information retrieval systems, including test collections, relevance judgments, effectiveness metrics, and analysis practices.
Labs
Hands-on IR Experimentation Lab
Hands-on lab for running and evaluating a retrieval experiment in the clinical-trials domain.
Student Projects
Practical IR problems developed for students to solve as part of the Information Retrieval and Recommender Systems course.
Financial IR Project
Practical IR problem developed for students to solve, focused on retrieval for financial question answering.
Health Retrieval Project
Practical IR problem developed for students to solve, focused on retrieval for health-related information needs.
Historical News Retrieval Project
Practical IR problem developed for students to solve, focused on retrieval over historical news collections.