Personal Information
Organization / Workplace
Greater New York City Area United States
Occupation
Engineering Lead, Home Personalization at Spotify
Industry
Technology / Software / Internet
Website
about.me/chingweichen
Tags
music
hackathon
hack
recommender systems
machine learning
technology
gracenote
ai
podcast
recommendation
spotify
data science
deep learning
metadata
mood
fingerprinting
genre
developer
api
day
web
software
pennapps
video
mobile
techcrunch
apps
san francisco
rdio
twitter
oakland
intro
beginner
guide
survival
introduction
tutorial
101
hacking
how-to
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Presentations
(8)Likes
(11)Homepage Personalization at Spotify
Oguz Semerci
•
4 years ago
Music similarity: what for?
Emilia Gómez
•
9 years ago
Gracenote: Music Navigation and Discovery
swissnex San Francisco
•
10 years ago
KPIs for APIs (and how API Calls are the new Web Hits, and you may be measuring all wrong)
John Musser
•
9 years ago
How to use Donuts and Onions for Scaling API Programs
3scale
•
9 years ago
What Makes a Great Open API?
John Musser
•
11 years ago
Growth Hacking
Mattan Griffel
•
11 years ago
Creating Successful Developer Programs
Dave McClure
•
16 years ago
Hacking 101
Saurabh Sahni
•
11 years ago
Twitter Stream Processing
Colin Surprenant
•
12 years ago
Twitter Big Data
Colin Surprenant
•
12 years ago
Personal Information
Organization / Workplace
Greater New York City Area United States
Occupation
Engineering Lead, Home Personalization at Spotify
Industry
Technology / Software / Internet
Website
about.me/chingweichen
Tags
music
hackathon
hack
recommender systems
machine learning
technology
gracenote
ai
podcast
recommendation
spotify
data science
deep learning
metadata
mood
fingerprinting
genre
developer
api
day
web
software
pennapps
video
mobile
techcrunch
apps
san francisco
rdio
twitter
oakland
intro
beginner
guide
survival
introduction
tutorial
101
hacking
how-to
See more