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Engineering

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Machine Learning

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 ...

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Culture

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Culture

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 ...

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Culture

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 ...

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Culture

Driving Success in Engineering at Taboola: Cross-Functional Management Blueprint

In todays fast-paced business environment, flexibility and collaboration are key to driving innovation and delivering ...


Data & Analytics

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Data & Analytics

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, ...

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Data Science

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 ...

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Big Data

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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System

How We Developed Our AI-Based SQL Rewrite System

Meet Rapido, Taboolas AI-powered SQL rewrite system. Learn how LLM recipes, schema & plan context, ...

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System

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 ...

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System

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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Big Data

How Taboola Handles Deep Learning Training-Serving Features Discrepancies

Introduction In machine learning, one critical challenge is ensuring that the features used during model ...

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Data Science

Zooming Past the Competition

Imagine youre walking down the street and you see a nice car youre thinking of ...

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Javascript

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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Tips & Tricks

SDK testing with hot swapper

In the following article, I describe how we came up with a way to improve ...

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Tips & Tricks

Optimizing TensorFlow Serving Performance on Skylake CPUs

Introduction Taboola is the leading recommendation engine in the $80+ billion open web market. The ...

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System

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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Tutorials

Practical Guide to Collecting Feedback and Data

Today is the big day – you’re finally launching an exciting new feature that you’ve ...

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Data Science

‘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 ...

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Data Science

Exploiting Multi-Categorical Features Using Deep Interest

At Taboola, our goal is to predict whether users will click on the ads we ...


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