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Study mode:
on
1
Intro
2
Pythagoras
3
College
4
Music Theory
5
Beyonce Chemical Brothers
6
Sine Waves
7
Subharmonics
8
Playlist
9
Jacob Collier
10
Camelot System
11
Transitions
12
Music in the Cloud
13
Playlist Pervasive
14
Reordering Tracks
15
Ryoichi Sakamoto
16
Discrete Optimization
17
Too Long
18
Discrete
19
Optimization
20
Rules
21
Cloud
22
API Integration
23
Spotify API
24
Spotify Playlist API
25
Francis Scott Key
26
Spotify Acquisitions
27
Spotify Echo Nest
28
Key Index
29
Optive Planner
30
Model Domain
31
Chaining
32
Tree of Entities
33
Playlist Optimization
34
Pining Solution
35
Code Highlighting
36
Series of Facts
37
Planning Score
38
Hard vs Soft
39
The Rule
40
Pattern Matching
41
Reedy Tree
42
Key Rules
43
Shadow Variables
44
Math
45
Key Rule
46
Score
47
Vehicle Routing
48
Chess
49
Playlists
50
Kaki King
51
Track Transitions
52
Local Optimum
53
Local Search
54
Results
55
Failure
56
Apollo
57
Prisma
58
GraphQL
59
AWS Lambda
60
Extract Path
61
Lambda
62
GitHub
63
Pantry
64
Thank you
Description:
Explore the intersection of music theory, discrete optimization, and technology to create better Spotify playlists in this GOTO Chicago 2019 conference talk. Dive into the world of playlist curation as Cedric Hurst, a Spotify enthusiast and software engineer, shares insights on transforming the art of playlist creation into a solvable puzzle. Learn about the rules and patterns that contribute to cohesive playlists, and discover how to teach these principles to computers. Gain knowledge on music theory basics, understand why certain songs complement each other, and witness the development of a planning and optimization algorithm for generating captivating Spotify playlists. Experience live keyboard demonstrations, unrehearsed demos, and discussions on topics ranging from the Camelot System to discrete optimization techniques. Uncover the potential of cloud APIs, Spotify integrations, and technologies like Apollo, Prisma, GraphQL, and AWS Lambda in enhancing the playlist creation process. Read more

Robot DJs - Better Spotify Playlists through Music Theory and Discrete Optimization

GOTO Conferences
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