From Zero Labels to 85% Accuracy: Our Journey in Conversion Intent Prediction
Taboola built an AI model to predict Conversion Intent (CI) without human labels, improving ad ...
Data Science
39 Articles
Collaborative Trial: On Optimizing Recommendation Testing
Taboola is responsible for billions of daily recommendations, and we are doing everything we can ...
How Taboola Handles Deep Learning Training-Serving Features Discrepancies
Introduction In machine learning, one critical challenge is ensuring that the features used during model ...
Zooming Past the Competition
Imagine you’re walking down the street and you see a nice car you’re thinking of ...
Optimizing Ad Space Through Mixing Organic Items In The Open Web
Introduction Taboola is the world’s leading native advertising platform, serving thousands of websites with a ...
Optimizing CTR Prediction through Clustering-Based Feature Engineering
With more than 500,000 recommendations per second, Taboola is the world’s leading native advertising platform ...
Breaking the Scale Barrier – Smarter Test Selection
A build process is a critical procedure triggered by new code changes (Git push). Its ...
GPU Integration Propels Data Center Efficiency and Cost Savings for Taboola
A year ago, we at Taboola kicked off a POC to migrate our Spark workload ...
Insights From My First Year as Integration & Support Team Lead at Taboola
I never saw myself as the managerial type. Probably due to the manager typecast I ...
Taboola’s shared GPU experience
What happens when you set a goal to increase Taboola’s critical data processing path capacity, ...
Chasing Ghosts
Bugs can be annoying most of the time, but if you’re lucky enough (or unlucky, ...
Surviving Spark Upgrade in Production
Going to upgrade your data pipeline to Spark3? Read about the issues we encountered while ...