Driving Success and Innovation Across Cross-Functional Teams – Part 3: The Role of the Track Leader
Learn about the pivotal role of Track Leaders in driving innovation, managing cross-functional teams, and ...
Engineering
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Inside RecSys 2025: How LLMs Are Rewriting the Rules of Recommendations
Explore the top trends from RecSys 2025 in Prague, including LLM-powered recommendations, Relational Foundation ...
Culture
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Driving Success Through Cross-Functional Management in Engineering at Taboola – Part 2: Strategic Leadership and Innovation in Tracks Methodology
Introduction In the first part of this series, we explored how the Tracks methodology empowers ...
Driving Success in Engineering at Taboola: Cross-Functional Management Blueprint
In today’s fast-paced business environment, flexibility and collaboration are key to driving innovation and delivering ...
Data & Analytics
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How Changing a Few Lines of Query Reduced the Execution Time by 80%
How Taboola cut query time by 90% on a 45B-row Vertica job using smart pre-aggregation, ...
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 ...
Collaborative Trial: On Optimizing Recommendation Testing
Taboola is responsible for billions of daily recommendations, and we are doing everything we can ...
System
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How We Developed Our AI-Based SQL Rewrite System
Meet Rapido, Taboola’s AI-powered SQL rewrite system. Learn how LLM recipes, schema & plan context, ...
A Key Component in Taboola CI/CD Pipelines for Achieving High Production Stability
See how Taboola integrates real traffic into CI pipelines using GoReplay to enhance testing, improve ...
Stop reading, start talking. A new way to share knowledge.
Knowledge sharing is critical for every company that wants to grow and improve. The bigger ...
Technologies
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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 ...
Optimising Chrome Extensions: Part 2- Managing your state and communication in React
In the previous article, we discussed the limitations of using Redux and the need to ...
Tips & Tricks
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SDK testing with hot swapper
In the following article, I describe how we came up with a way to improve ...
Optimizing TensorFlow Serving Performance on Skylake CPUs
Introduction Taboola is the leading recommendation engine in the $80+ billion open web market. The ...
Android Working On A Multiple Library Project
We are going to talk about a multi-library project in Android. Not something ordinary, but ...
Tutorials
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Practical Guide to Collecting Feedback and Data
Today is the big day – you’re finally launching an exciting new feature that you’ve ...
‘Tis the Season: Fun with (Decision) Trees
At Taboola, we work daily on improving our Deep-Learning-based content-recommendation model. We use it to ...
Exploiting Multi-Categorical Features Using Deep Interest
At Taboola, our goal is to predict whether users will click on the ads we ...