personalizing broadcast radio with musicovery radio 2.0 webinar 2016-03-03
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musicovery.com
09/10/2015
Personalizing broadcast radio
03/03/2016
Presented by Vincent Castaignet, Musicovery CEO
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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
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• 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
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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
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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
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Song substitution
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Personalized and geolocalized concerts
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likely to like
very likely to
like
fans
Finding most receptive listeners for an
emerging artist
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Notification of new releases
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Prize competition, loyalty programmes
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How does it work ?
User dynamic music profile
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I don’t
like I 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
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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
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listener
filters by genres, years, popularity
artist song
mood
genre
search
interacts with propositions
generates behavioural data
Behavioural data collection opportunities
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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
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Behavioural
data
Exploration of
the music
universe
User dynamic
music profile
Personalisation: Musicovery robust model
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Personalized
services
Behavioural
data
collection
The virtuous circle of personalization
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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
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Recommendations for a specific listener
• Parameters to call the API : &userid=xxx
• Response : a list of recommended songs
artists
genres
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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
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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
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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
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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
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Iterative process
Test Musicovery
API
Design a project
Develop a prototype
Develop a pilote
Roll out
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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
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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
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Source of data
Data generated
automatically (from
audio and web)
Data produced and
structured by experts
SmartPlayTM
Users behaviour
and preferences
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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
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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
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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
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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 launched playlists are played longer
Personalized playlists
playlists are more
relevant and consistent
+
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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
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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
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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
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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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