algorithms
Collaborative Trial: On Optimizing Recommendation Testing
Maoz Cohen | 09 Jun 2020 | Big Data
Taboola is responsible for billions of daily recommendations, and we are doing everything we can to make those Read More...
‘Tis the Season: Fun with (Decision) Trees
Marina Gandlin | 18 Dec 2019 | Data Science
At Taboola, we work daily on improving our Deep-Learning-based content-recommendation model. We use it to suggest personalized news Read More...
Performing Exploration, Robin-Hood Style
Shaked Zychlinski | 11 Nov 2019 | Machine Learning
Our core business at Taboola is to provide the surfers-of-the-web with personalized content recommendations wherever they might surf. Read More...
Exploiting Multi-Categorical Features Using Deep Interest
Marina Gandlin | 04 Sep 2019 | Data Science
At Taboola, our goal is to predict whether users will click on the ads we present to them. Read More...
Going Old-School: Designing Algorithms for Fast Weighted Sampling in Production
Shaked Zychlinski | 06 Jun 2019 | Big Data
If you happen to write code for a living, there’s a pretty good chance you’ve found yourself explaining Read More...
The Hitchhiker’s Guide to Hyperparameter Tuning
Yoel Zeldes | 14 Jun 2018 | Data Science
Now that more than a year has passed since our first deep learning project emerged, we have had Read More...
Using Word2Vec for Better Embeddings of Categorical Features
Inbar Naor | 25 Apr 2018 | Data Science
Back in 2012, when neural networks regained popularity, people were excited about the possibility of training models without Read More...
5 Simple tips for boosting your Jenkins performance
More than one Graph - Code Reuse in TensorFlow
Predicting Probability Distributions Using Neural Networks
Deep Learning - from Prototype to Production
Deep Multi-Task Learning - 3 Lessons Learned