Tag archive: machine learning
Oct 21, 2024
How We Generated Millions of Content Annotations
With the fields of machine learning (ML) and generative AI (GenAI) continuing to rapidly evolve and expand,...
Oct 25, 2023
Introducing Voyager: Spotify’s New Nearest-Neighbor Search Library
For the past decade, Spotify has used approximate nearest-neighbor search technology to power our...
Oct 20, 2023
Exclude from Your Taste Profile
Are you a parent forced to put the Bluey theme song on repeat? Do you work from home and play lofi beats or...
Feb 1, 2023
Unleashing ML Innovation at Spotify with Ray
As the field of machine learning (ML) continues to evolve and its impact on society and various aspects of...
Jun 1, 2022
Meet Basic Pitch: Spotify’s Open Source Audio-to-MIDI Converter
Introducing , Spotify’s free open source tool for converting audio into MIDI. Basic Pitch uses machine...
Mar 17, 2022
Introducing Natural Language Search for Podcast Episodes
Until recently, Search at Spotify relied mostly on term matching. For example, if you type the query...
Jan 19, 2022
Product Lessons from ML Home: Spotify’s One-Stop Shop for Machine Learning
Building platforms is a hard business. Building platforms for discerning machine learning (ML) practitioners...
Dec 2, 2021
How Spotify Uses ML to Create the Future of Personalization
Machine learning is what drives personalization on Spotify. We may have a single platform with 381 million...
Nov 18, 2021
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part II)
In of this two-part series, we talked about the challenges we faced with the models we use to recommend...
Nov 15, 2021
The Rise (and Lessons Learned) of ML Models to Personalize Content on Home (Part I)
At Spotify, our goal is to connect listeners with creators, and one way we do that is by recommending quality...
Mar 30, 2021
David Riordan: Product Manager
David is a Product Manager at Spotify in New York. But since the start of the pandemic, he’s been working...
Nov 4, 2020
It’s All Just Wiggly Air: Building Infrastructure to Support Audio Research
TL;DR — our framework for building smarter data pipelines for audio and other media processing. Based on...