World Congress 2023 • Oct 6, 2023

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)

Dora Petrella

A data science team replaced their underperforming SQL recommender with a Meta-Prod2Vec neural network. Learn how injecting article metadata solved long-tail recommendations and boosted product coverage by 45 percent.

Starting at 14:42 · Watch from the beginning

How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale) thumbnail

Checking access…

Playback and chapters load privately for Free videos.

Matching moments

1:50 min

Real life recommendation systems and final project conclusions

Lutske van der Meer Lutske van der Meer · World Congress 2024

2:40 min

Understanding real-world recommendation systems in common platforms

Julian Joseph · LIVE

2:14 min

Assessing the future of AI in web performance optimization

Perf + AI

4:42 min

Predicting future retail experiences and avoiding technology hype

Alejandro Saucedo Alejandro Saucedo +2 · World Congress 2025

57 sec

Implementing predictive prefetch with machine learning

Jessica Janiuk · JS Congress

1:32 min

Optimizing web architectures for AI agent discovery and recommendations

Christian Heilmann Christian Heilmann · World Congress 2026 North America

Upcoming sessions on this topic

Starts in 12 days

Conference India 2026

November 25–26, 2026

Bengaluru, India