Exploiting Multi-Categorical Features Using Deep Interest

Marina Gandlin | 04 Sep 2019 | Data Science

Tags: algorithms, big data, data, data model, data science, deep learning, machine learning, neural networks

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

Tags: algorithms, performance, production, real-time, sampling, uncertainty

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

Tags: algorithms, data, data science, hyperparameter tuning

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

Tags: algorithms, deep learning, prediction, word2vec

Back in 2012, when neural networks regained popularity, people were excited about the possibility of training models without Read More...