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musicovery.com 09/10/2015
Personalizing broadcast radio
03/03/2016
Presented by Vincent Castaignet, Musicovery CEO
musicovery.com 2
Speaker
Personalizing broadcast radio
Realizing the full value potential of
behavioural data of your listeners by
providing personalized experiences
Vincent Castaignet
Musicovery, CEO
musicovery.com 3
• How to create smart radios ?
• How to built personalized YouTube channels ?
• How to substitute a song that a listener skips for one that he will like ?
• How to generate notifications of personalized and geolocalized concerts ?
• How to identify for an emerging artist most receptive listeners ?
• How to send personalized notifications of new releases/hot news ?
• How to built prize competiton/loyalty programmes, with ultra-targeted gifts
(concerts, collector editions, goodies) ?
Personalizing broadcast radio
musicovery.com 4
Appetite for
discovery
Appetite for
popular songs
Appetite for
new releases Needs for
repetition
Appetite for
genre diversity
Preferences
for songs,
artists, genres
Saturated
songs
Current interest for
artists, genres
Mood
diversity
Smart radios adapted to each user profile
musicovery.com 5
Karl Böhm Claudio Abbado Eugen Jochum Riccardo Muti
• Recommendation of an artist: Karajan
• Selection of a video from the artist
• Proposition of alternative videos/tags/playlist
• Channel adapts according to interactions
Personalized YouTube channels
musicovery.com 6
Song substitution
musicovery.com 7
Personalized and geolocalized concerts
musicovery.com 8
likely to like
very likely to
like
fans
Finding most receptive listeners for an
emerging artist
musicovery.com 9
Notification of new releases
musicovery.com 10
Prize competition, loyalty programmes
musicovery.com 11
How does it work ?
User dynamic music profile
musicovery.com 12
I don’t
likeI know
My
tribe
Music I
don’t know
I like
Influencers
I trust
My
friends
mood,
activities
my habits :
when, where
Expanding listeners music universe
musicovery.com 13
Not familiar
with this
song/artist
I can say if it
fits my music
universe
I like it
Optimal number of
plays
I like but I’m
saturated now
The right repetition rate
musicovery.com 14
listener
filters
by genres, years, popularity
artist
song
mood
genre
search
interacts with propositions
generates behavioural data
Behavioural data collection opportunities
musicovery.com 15
Analytics tool :
• Measuring quality objectively :
playlists duration, skip rates, …
• Running A/Z tests for various
scenarios to generate playlists
• Selection of the best scenario to
each listener once minimum
confidence is reached
Optimizing recommendation generation
musicovery.com 16
Behavioural
data
Exploration of
the music
universe
User dynamic
music profile
Personalisation: Musicovery robust model
musicovery.com 17
Personalized
services
Behavioural
data
collection
The virtuous circle of personalization
musicovery.com 18
Introduction to Musicovery API
• generates all kinds of playlists:
Mood, activities, artist, genre, song, theme…
• generates all types of recommendations:
Similar songs and artists, for a specific listener
• various parameters to finetune
playlists/recommendations
API documentation
musicovery.com 19
Recommendations for a specific listener
• Parameters to call the API :
&userid=xxx
• Response : a list of recommended
songs
artists
genres
musicovery.com 20
A very fast personalization process
focused on big
beat genre
mainstream
Listener 2
favorite artists:
Daft Punk, David Guetta
Listener 1
favorite artists:
Daft Punk, Propellerheads
musicovery.com 21
Recommendations user 1
favorite artist: Daft Punk
searched artist: The Chemical Brothers
favorite song: Propellerheads – Take California
banned song: Christina Aguilera – Ain’t no other man
satured song: Daft Punk – One more time
Get recommendations for this
listener
musicovery.com 22
Recommendations user 2
favorite artist: Daft Punk
searched artist: David Guetta
favorite song: Swedish House Mafia – One (your name)
banned song: Groove Armada – Dirty Listening
Get recommendations for this
listener
musicovery.com 23
Compatible with industry content identifiers
ISRC
API Musicovery
ISRC
INPUT : Deezer id for Rihanna
Rihanna id
OUPUT : Instagram ids for similar artists to
Rihanna
+
Get the results from the API
musicovery.com 24
Iterative process
Test
Musicovery
API
Design a
project
Develop a
prototype
Develop a
pilote
Roll out
musicovery.com 25
Case study :
Broadcast : leader in the US, 238 M audience radios/TVs
Smart radio IHeartRadio
• Launched 2008
• True challenger to Pandora in the US
• Designed to complement their 750 local FM stations
• provides similar artist data
• Similarity type optimized : genre/era/social
musicovery.com 26
Thanks for your attention
Test the API on musicovery.com: access is open
and free !
vincent.castaignet@musicovery.com - +33 6 13 17 35 61
musicovery.com 27
Source of data
Data generated
automatically (from
audio and web)
Data produced and
structured by experts
SmartPlayTM
Users behaviour
and preferences
musicovery.com 28
Technology
Acoustic
descriptors
Semantic
descriptors
Personalized recommendations
Social
activity
Charts &
trends
orchestration,
rhythmic…
situations,
mood, genres,
themes
Individual
personalization
profiles, tribes,
friends…
by country, real
time
preferences,
behavior (time,
location), history
Algorithm
musicovery.com 29
A global and a local tool
• SmartPlay is now available in : US, Canada, UK,
France, Italy, Spain, Germany, Portugal, Norway.
=> Additional territories on request.
• SmartPlay is built to adapt to local specifics :
o It includes local artists for each country
o Genres, themes, mood are catered to local
language(s) and the local catalogue
musicovery.com 30
Music catalogue
• Comprehensive and exhaustive for
Europe, North America and South
America
o all genres and all times
o 290,000 artists
o 1,5M songs
o Charts from 1960: US, Canada,
UK, France, Spain, Italy, Portugal,
Germany and Norway
• Continually growing
musicovery.com 31
Musicovery engine efficiency
= total listening duration : +35%
Numerous and
diverse ways to launch
playlists
Recommendations more consistent
with listener profile and listening
history
More playlists are launchedplaylists are played longer
Personalized playlists
playlists are more
relevant and consistent
+
musicovery.com 32
Professional SLAs
• SmartPlay runs on professional infrastructure :
o Front-end on Co-host on Bearstech
o Algorithm, webservices and API on Bearstech
o Back-end on Amazon Cloud Services
• SLAs:
o Guaranteed 99.9 % uptime by infrastructure suppliers
o Bandwidth: peak bandwidth at least 70% higher than past top
bandwidth
o Computing capacity: peak capacity at 70% past top
o Network provider: Availability 99% on a rolling 30 days
• Support:
o Customers (B2B partners and clients): 9-5 Monday to Friday
o Consumer (B2C users): 24 hour email support, answer in next
working day
musicovery.com 33
Playlist by genre
Get the results from the API
Tuning parameters to call the API :
&tag=techno
&tracksnumber=30
&listenercountry=fr
&popularitymin=25
&popularitymax=100
&yearmin=1992
&yearmax=2005
musicovery.com 34
Artists similar to
Astrud Gilberto
Get the results from the API
&artistmbid=bc710bcf-8815-42cf-bad2-3f1d12246aeb
&focusgenre=false
&focusera=true
&obscureartists=false
&popularitymin=25
&popularitymax=100
musicovery.com 35
Songs similar to
Rock the casbah
Get the results from the API
&id=66380
&similaritytype=100
&limitgenre=false
&listenercountry=fr
&popularitymin=50
&popularitymax=100

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Personalizing Broadcast Radio with Musicovery Radio 2.0 webinar 2016-03-03

  • 1. musicovery.com 09/10/2015 Personalizing broadcast radio 03/03/2016 Presented by Vincent Castaignet, Musicovery CEO
  • 2. musicovery.com 2 Speaker Personalizing broadcast radio Realizing the full value potential of behavioural data of your listeners by providing personalized experiences Vincent Castaignet Musicovery, CEO
  • 3. musicovery.com 3 • How to create smart radios ? • How to built personalized YouTube channels ? • How to substitute a song that a listener skips for one that he will like ? • How to generate notifications of personalized and geolocalized concerts ? • How to identify for an emerging artist most receptive listeners ? • How to send personalized notifications of new releases/hot news ? • How to built prize competiton/loyalty programmes, with ultra-targeted gifts (concerts, collector editions, goodies) ? Personalizing broadcast radio
  • 4. musicovery.com 4 Appetite for discovery Appetite for popular songs Appetite for new releases Needs for repetition Appetite for genre diversity Preferences for songs, artists, genres Saturated songs Current interest for artists, genres Mood diversity Smart radios adapted to each user profile
  • 5. musicovery.com 5 Karl Böhm Claudio Abbado Eugen Jochum Riccardo Muti • Recommendation of an artist: Karajan • Selection of a video from the artist • Proposition of alternative videos/tags/playlist • Channel adapts according to interactions Personalized YouTube channels
  • 7. musicovery.com 7 Personalized and geolocalized concerts
  • 8. musicovery.com 8 likely to like very likely to like fans Finding most receptive listeners for an emerging artist
  • 11. musicovery.com 11 How does it work ? User dynamic music profile
  • 12. musicovery.com 12 I don’t likeI know My tribe Music I don’t know I like Influencers I trust My friends mood, activities my habits : when, where Expanding listeners music universe
  • 13. musicovery.com 13 Not familiar with this song/artist I can say if it fits my music universe I like it Optimal number of plays I like but I’m saturated now The right repetition rate
  • 14. musicovery.com 14 listener filters by genres, years, popularity artist song mood genre search interacts with propositions generates behavioural data Behavioural data collection opportunities
  • 15. musicovery.com 15 Analytics tool : • Measuring quality objectively : playlists duration, skip rates, … • Running A/Z tests for various scenarios to generate playlists • Selection of the best scenario to each listener once minimum confidence is reached Optimizing recommendation generation
  • 16. musicovery.com 16 Behavioural data Exploration of the music universe User dynamic music profile Personalisation: Musicovery robust model
  • 18. musicovery.com 18 Introduction to Musicovery API • generates all kinds of playlists: Mood, activities, artist, genre, song, theme… • generates all types of recommendations: Similar songs and artists, for a specific listener • various parameters to finetune playlists/recommendations API documentation
  • 19. musicovery.com 19 Recommendations for a specific listener • Parameters to call the API : &userid=xxx • Response : a list of recommended songs artists genres
  • 20. musicovery.com 20 A very fast personalization process focused on big beat genre mainstream Listener 2 favorite artists: Daft Punk, David Guetta Listener 1 favorite artists: Daft Punk, Propellerheads
  • 21. musicovery.com 21 Recommendations user 1 favorite artist: Daft Punk searched artist: The Chemical Brothers favorite song: Propellerheads – Take California banned song: Christina Aguilera – Ain’t no other man satured song: Daft Punk – One more time Get recommendations for this listener
  • 22. musicovery.com 22 Recommendations user 2 favorite artist: Daft Punk searched artist: David Guetta favorite song: Swedish House Mafia – One (your name) banned song: Groove Armada – Dirty Listening Get recommendations for this listener
  • 23. musicovery.com 23 Compatible with industry content identifiers ISRC API Musicovery ISRC INPUT : Deezer id for Rihanna Rihanna id OUPUT : Instagram ids for similar artists to Rihanna + Get the results from the API
  • 24. musicovery.com 24 Iterative process Test Musicovery API Design a project Develop a prototype Develop a pilote Roll out
  • 25. musicovery.com 25 Case study : Broadcast : leader in the US, 238 M audience radios/TVs Smart radio IHeartRadio • Launched 2008 • True challenger to Pandora in the US • Designed to complement their 750 local FM stations • provides similar artist data • Similarity type optimized : genre/era/social
  • 26. musicovery.com 26 Thanks for your attention Test the API on musicovery.com: access is open and free ! vincent.castaignet@musicovery.com - +33 6 13 17 35 61
  • 27. musicovery.com 27 Source of data Data generated automatically (from audio and web) Data produced and structured by experts SmartPlayTM Users behaviour and preferences
  • 28. musicovery.com 28 Technology Acoustic descriptors Semantic descriptors Personalized recommendations Social activity Charts & trends orchestration, rhythmic… situations, mood, genres, themes Individual personalization profiles, tribes, friends… by country, real time preferences, behavior (time, location), history Algorithm
  • 29. musicovery.com 29 A global and a local tool • SmartPlay is now available in : US, Canada, UK, France, Italy, Spain, Germany, Portugal, Norway. => Additional territories on request. • SmartPlay is built to adapt to local specifics : o It includes local artists for each country o Genres, themes, mood are catered to local language(s) and the local catalogue
  • 30. musicovery.com 30 Music catalogue • Comprehensive and exhaustive for Europe, North America and South America o all genres and all times o 290,000 artists o 1,5M songs o Charts from 1960: US, Canada, UK, France, Spain, Italy, Portugal, Germany and Norway • Continually growing
  • 31. musicovery.com 31 Musicovery engine efficiency = total listening duration : +35% Numerous and diverse ways to launch playlists Recommendations more consistent with listener profile and listening history More playlists are launchedplaylists are played longer Personalized playlists playlists are more relevant and consistent +
  • 32. musicovery.com 32 Professional SLAs • SmartPlay runs on professional infrastructure : o Front-end on Co-host on Bearstech o Algorithm, webservices and API on Bearstech o Back-end on Amazon Cloud Services • SLAs: o Guaranteed 99.9 % uptime by infrastructure suppliers o Bandwidth: peak bandwidth at least 70% higher than past top bandwidth o Computing capacity: peak capacity at 70% past top o Network provider: Availability 99% on a rolling 30 days • Support: o Customers (B2B partners and clients): 9-5 Monday to Friday o Consumer (B2C users): 24 hour email support, answer in next working day
  • 33. musicovery.com 33 Playlist by genre Get the results from the API Tuning parameters to call the API : &tag=techno &tracksnumber=30 &listenercountry=fr &popularitymin=25 &popularitymax=100 &yearmin=1992 &yearmax=2005
  • 34. musicovery.com 34 Artists similar to Astrud Gilberto Get the results from the API &artistmbid=bc710bcf-8815-42cf-bad2-3f1d12246aeb &focusgenre=false &focusera=true &obscureartists=false &popularitymin=25 &popularitymax=100
  • 35. musicovery.com 35 Songs similar to Rock the casbah Get the results from the API &id=66380 &similaritytype=100 &limitgenre=false &listenercountry=fr &popularitymin=50 &popularitymax=100