MLOps.community

Product Enrichment and Recommender Systems // Marc Lindner and Amr Mashlah // Coffee Sessions #114

Aug 10, 2022

56:36

Creator website

Highlights

AI Chapters

Episode notes

We Found That Text Embedings Really Improved Productivity and That's Awesome, Right?

02:32

Easy Life

02:27

Is It Possible to Recommend Good Things on Netflix?

01:57

Introduction

2min

The Challenges of Recommendation Systems

2min

The Core Challenges of a Recommender Systems Podcast

2min

Easy Life

2min

Is It Possible to Recommend Good Things on Netflix?

2min

Feature Based Approach or Collaborative Filtering Approach?

3min

The Challenges in Generating Multimodal Recommendation?

3min

Scaling Models on AWS?

3min

How Do You Handle Multi-Modal Recommendation?

2min

10.

Do You Think You Can Ingest All This Data?

2min

11.

Scaling Up a Multimodal Recommendation Model

2min

12.

Using the User Preferences on Movies, Movies and Music

2min

13.

The Difference Between the Three Major Things Is Like Purely Category Focused

2min

14.

How Do You Handle Cold Start?

2min

15.

We Found That Text Embedings Really Improved Productivity and That's Awesome, Right?

3min

16.

Is There Really a Bad Recommendation?

3min

17.

Is There a Way to Improve the Onboarding Process?

3min

18.

How Does Curation Work in a Recommendation System?

3min

19.

Are You Using Social Features in Your App?

2min

20.

Rexis - What's Next on the Roadmap?

3min

21.

The Ultimate Travel Companion

2min

22.

The Ocean Model

4min

23.

Are You Getting a Good Relationship With Your Ads?

3min

24.

The Ultimate Travel Companion - Skylare

2min

MLOps Coffee Sessions #114 with Marc Lindner, Co-Founder COO and Amr Mashlah, Head of Data Science of eezylife Inc., Product Enrichment and Recommender Systems co-hosted by Skylar Payne.

// Abstract
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.

// Bio
Marc Lindner 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.

Amr Mashlah
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.

// MLOps Jobs board
https://mlops.pallet.xyz/jobs

MLOps Swag/Merch
https://mlops-community.myshopify.com/

// Related Links
Children of Time book by Adrian Tchaikovsky:
https://www.amazon.com/Children-Time-Adrian-Tchaikovsky/dp/0316452505

--------------- ✌️Connect With Us ✌️ -------------
Join our slack community: https://go.mlops.community/slack
Follow us on Twitter: @mlopscommunity
Sign up for the next meetup: https://go.mlops.community/register
Catch all episodes, blogs, newsletters, and more: https://mlops.community/

Connect with Demetrios on LinkedIn: https://www.linkedin.com/in/dpbrinkm/
Connect with Skylar on LinkedIn: https://www.linkedin.com/in/skylar-payne-766a1988/
Connect with Marc on LinkedIn: https://www.linkedin.com/in/marc-lindner-883a0883/
Connect with Amr on LinkedIn: https://www.linkedin.com/in/mashlah/