Recommender Systems: an overview

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Program

Decemeber 05 - 09, 2022, Belval campus (MSA), University of Luxembourg
- Limited number of participants.
Enrolment via Moodle opens on 28/10/2022


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Day 1

Introduction to Recommender Systems

  • Personalisation: The Big Picture
  • Overview of SOTA RecSys Methods (ML, DL, RL) based approaches.

    • Day 2

    Content-Based (CB) & Collaborative Filtering (CF)

  • Lecture
  • Invited talk
  • Hands-on Case-Studies (CB & CF)

    • Day 3

    Hybrid Approaches & Reinforcement Learning (RL) based RecSys

  • Lecture
  • Invited talk
  • Hands-on Case-Studies (Hybrid & RL)

    • Day 4

    Modern RecSys & Open Chalenges

  • Lecture
  • Course project topics
  • Hands-on (Course Project)

    • Day 5

    Project presentation & Closing

  • Invited talk
  • Student Presentations

    • Meet Our Speakers

    Course Instructor

    Dr. Bereket YILMA

    University of Luxembourg, Luxembourg


    Course Instructor

    Invited Talks

    Invited talk
    Improving Personalized Explanation Generation through Visualization

    Dr. Lei Li

    Hong Kong Baptist University (HKBU)

    Invited talk
    Explainability in Recommender Systems

    Dr. Ludovik Coba

    Expedia Group, United Kingdom

    Invited talk
    Language models in Recommender Systems

    Yuhui Zhang

    Amazon AWS AI Labs & Stanford University, USA

    Invited talk
    DALL-E-2, realistic images and art generation from text prompt

    Victor Silva

    OpenAI & University of Alberta, Canada

    • ©2022 Bereket A. YILMA.