Content-Based Recommendation Systems Project

Multipurpose Science and Technology Building, MSTB 122, Irvine, 92617

Join us for a hands-on Content-Based Recommendation System Project build session. Last week, we discussed the math, the algorithms, and the code--it is time to implement these Skills Build topics in your very own Machine Learning Recommendation System!

Jan 30, 1:00 – 2:00 AM



Key Themes

Explore MLML Study JamMachine Learning

About this event

Join us for an exciting hands-on Content-Based Recommendation System Project focused on understanding user preferences and exploring various algorithms, including content-based and collaborative-based systems (next week). You'll gain practical experience using recommendation system libraries and tools, along with Python scripting techniques. By the end of the program, you'll be well-equipped to develop your own recommendation projects in the 3 week cycle!

This is an opportunity to gain practical skills and knowledge that will empower you to confidently build recommendation systems tailored to specific needs. Don't miss out on this transformative learning experience! Join us and embark on your own recommendation project-building journey!

WORKSHOP SLIDES: [workshop slides]

CODE: [code]



Tuesday, January 30, 2024
1:00 AM – 2:00 AM UTC


  • Rhea Jethvani

    GDSC Lead

  • Vishwanath Durgam

    Co-Vice President

  • Reece Ponce Buyan

    Co-Vice President

  • Sophia Liang

    Technology Chair

  • Anuj Patel

    Technology Chair

  • Ervin Grimaldi

    Project Chair

  • Meghana Burugupalli

    Project Chair

  • Ben Boben

    Logistics Chair

  • James Ernest Pantigoso

    Community Chair

  • Brinda Devireddy

    Community Chair

  • Jennifer Nicole Kim

    Marketing Chair

  • Ritika Vinita Ramnani

    Marketing Chair

  • Aniedi Udo-Obong

    Regional Leader

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