Product Enrichment and Recommender Systems

Posted Aug 04, 2022 | Views 203

# eezylife Inc

# Product Enrichment

# Recommender Systems

SPEAKERS

Marc Lindner

Co-Founder COO @ eezylife Inc.

Marc has a background in Knowledge Engineering. He's Always extremely product-focused with anything to do with Machine Learning.

Marc built several products working together with companies such as Lithium Technologies etc. and then co-Founded eezy.

+ Read More

Marc has a background in Knowledge Engineering. He's Always extremely product-focused with anything to do with Machine Learning.

Marc built several products working together with companies such as Lithium Technologies etc. and then co-Founded eezy.

+ Read More

Amr Mashlah

Head of Data Science @ eezylife Inc.

Amr is the head of data science at eezy, where he leads the development of their recommender engine. Amr has a master's degree in AI and has been working with startups for 6 years now.

+ Read More

Amr is the head of data science at eezy, where he leads the development of their recommender engine. Amr has a master's degree in AI and has been working with startups for 6 years now.

+ Read More

SUMMARY

The difficulties of making multi-modal recommender systems. How it can be easy to know something about a user but very hard to know the same thing about a product and vice versa? For example, you can clearly know that a user wants an intellectual movie, but it is hard to accurately classify a movie as intellectual and fully automated.

+ Read More

Watch More

49:01

RECOMMENDER SYSTEM: Why They Update Models 100 Times a Day

Posted Sep 15, 2022 | Views 470

# FunCorp

# Recommender Systems

# A/B Testing

57:22

Project/Product Management for MLOps, Project/Product Management for MLOps, Project/Product Management for MLOps

Posted Jun 16, 2021 | Views 241

45:32

Lessons from Studying FAANG ML Systems

Posted Jun 21, 2022 | Views 279

# ML Platform

# ML Efforts