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Scribd Data Science & Engineering Blog

Lessons from the Scribd data science & engineering teams.

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Data Science

Siwei Zhu in Scribd Data Science & Engineering Blog

Mar 4, 2019

Experiments with Seq2seq: Data Dependency

How much data do you need to train a seq2seq model? Let’s say that you want to…

Brayden Cleary in Scribd Data Science & Engineering Blog

Feb 6, 2019

Calculating Customer Lifetime Revenue

Why LTR? (Lifetime Revenue)

Kat Glaeser in Scribd Data Science & Engineering Blog

May 31, 2018

Bootstrapping Your Way Through a Non-Random SEO Test

Months ago, your friends convinced you to sign up…

David Feldman in Scribd Data Science & Engineering Blog

Apr 18, 2018

Multi-armed bandits for the Win

We love A/B testing at Scribd. What follows is a specific example to give you an inside look at the process from idea to implementation for an algorithm test.

We’ll cover how we optimized our home page, transitioned from hard-coded rules to a…

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David Feldman in Scribd Data Science & Engineering Blog

Mar 20, 2018

Scribd’s A/B Test Framework

What is A/B testing?

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Matthew Relich in Scribd Data Science & Engineering Blog

Feb 12, 2018

Search Query Parsing

Scribd has a variety of content to offer and connecting our users with their desired content is a crucial aspect of our…

Matthew Relich in Scribd Data Science & Engineering Blog

Jan 4, 2018

Neural Spelling Corrections and the Importance of Accuracy

Introduction

I can remember a time in middle or high school when the goto service for locating things on the internet was Ask Jeeves. We even had a tutorial on how to properly search, including when to…

3 responses