Recommender Systems Workshop

* as this is a new course expect website updates

Course Information

• Time: Tuesday 16:00-18:00
• Location: Check Point 001
• Moodle: Workshop on Recommender Systems (Moodle)
• Previous courses: Recommender Systems Workshop
• Course ID: 0368-3565

Course Staff

• Dr. Rubi Boim
• Yael Einy (TA) - yaeleiny7 AT gmail

Course Goal

Ever wondered how Instagram curates your feed or selects posts for the Explore page? Or how Netflix recommends shows tailored just for you? The same technology powers Spotify, YouTube, and even Tinder.

This technology is called Recommender Systems — a specialized branch of Machine Learning designed to predict user behavior.
Whether it’s making a purchase, clicking a post, playing a song, or swiping right, these systems analyze massive amounts of data to anticipate your next move.
They are also a major driver of revenue, generating billions of dollars for companies by increasing engagement, retention, and sales.

The goal of this workshop is for you to build your own recommender system. The exact domain, use case and focus are entirely up to you!

Course Format

The project will be done by groups of 4 students.

• Fundamentals of Recommender Systems
  We will explore the foundational concepts, algorithms, and mathematical principles (e.g., matrix factorization, similarity measures) that drive recommender systems, along with broader considerations such as scalability and system design.
  
  
• Team Project Proposals
  Students will form small teams (4 members) and propose a specific project related to recommender systems.
  (Each proposal must be approved before moving forward)
  
  
• Implementation and Presentation
  Teams will develop and test their projects throughout the semester, including a mid-semester presentation to share progress and get feedback. At the end of the semester, teams will submit a written report and deliver a final presentation detailing their approach, results, and lessons learned.

Course Requirements

• Operating systems (0368-2162)
• Software Project (0368-2161)

Course Schedule and Slides

* tentative - currently building the workshop

* tentative due to Iron Swords war

Reference Papers, Classes and Others

• New is always better