To Predict Article Performance, Use Machine Learning Models
Introduction Newsrooms are under constant pressure to deliver the most up to date, relevant, and ...
Data & Analytics
58 Articles
Exploiting Multi-Categorical Features Using Deep Interest
At Taboola, our goal is to predict whether users will click on the ads we ...
Deep Learning – from Prototype to Production
About 8 months ago my team and I were facing the challenge of building our ...
Going Old-School: Designing Algorithms for Fast Weighted Sampling in Production
If you happen to write code for a living, there’s a pretty good chance you’ve ...
Deep Multi-Task Learning – 3 Lessons Learned
For the past year, my team and I have been working on a personalized user ...
ICLR 19 highlights (and all that Jazz)
A joint post with Ofri Mann We went to ICLR to present our work on ...
Bucket the shuffle out of here!
Intro At Taboola we use Spark extensively throughout the pipeline. Regularly faced with Spark-related scalability ...
Preparing for the Unexpected
Some of the problems we tackle using machine learning involve categorical features that represent real ...
Think your Data Different
In the last couple of years deep learning (DL) has become a main enabler for ...
Get real life debugging using Kibana and Elastic
We all have these amazing machines in our development and testing labs, and we know ...
The Story of a Bad Train-Test Split
About a year ago we incorporated a new type of feature into one of our ...
Predicting Probability Distributions Using Neural Networks
If you’ve been following our tech blog lately, you might have noticed we’re using a ...