SlideShare a Scribd company logo
1 of 7
Download to read offline
music discovery & personalization
The Echo Nest pioneered data-driven
music discovery.
Today, we power more music discovery
experiences than any other company. Lead-
ing music services including Clear Channel,
Microsoft, Nokia, Rdio, SiriusXM, and VEVO have
partnered with The Echo Nest to help build
better, smarter apps that understand and
delight every fan.
The Echo Nest brings deep experience in
applying next-generation music discovery
technology to demonstrably improve user
acquisition and loyalty, while the breadth and
flexibility of our platform empowers customers
to innovate faster at a lower cost, and scale
globally with confidence.
We specialize in working with innovative
product teams to design and deliver unique,
personalized music experiences – from intel-
ligent song and artist radio, to personalized,
curated playlists, to engaging social discovery
applications. And we do it through a single,
flexible API to bring your innovations to market
quickly while strengthening your differentiation.
With our unmatched experience, high-quality
results, breadth of coverage, and true flexibility
and control, we’re delivering unparalleled ROI
for our music service partners. We’ve increased
session length as much as 50% by personalizing
and improving playlist quality.
Key Capabilities:
zz Song, artist and genre radio
zz Rich Taste Profiles that understand
	 each fan’s preferences
zz Personalized playlisting with real-time
	 user feedback
zz Tools for professional music editorial
	 teams to create and curate at scale
zz Social, fan-to-fan music discovery
zz Artist and song recommendations
zz Custom radio programming rules,
	 including DMCA support
Benefits:
zz Increase user acquisition and en-
	 gagement (session time, repeat use)
zz Build more innovative user experi-
	 ences quickly at a lower cost
zz Deliver best-in-class music discovery
	 at a global scale (multiple catalogs,
	 any region)
Music Discovery & Personalization
In the millions-of-songs-in-my-pocket-era
of digital music, discovery is more
important than ever.
Music fans expect music applications to understand and know
what they want to hear – automatically.
music discovery & personalization
The Echo Nest’s Music Discovery & Personalization solution is a suite of advanced capabilities to build
engaging, personalized music discovery experiences, including:
zz Three advanced playlisting offerings that
	 power unique online radio and personalized,
	 interactive listening experiences
zz A social discovery engine that helps fans
	 discover new music from fans with similar tastes
zz An intelligent music recommendations engine
	 that suggests the best artists and songs for each
	fan
Playlisting
The Echo Nest is the leader in data-driven music playlisting. We leverage everything we know about music to
help music services deliver smarter, more personalized, highly interactive playlisting.
To meet the needs of all customers – from the largest digital music service providers to new music apps –
we provide three playlisting offerings: Basic for online radio, Standard for personalized, interactive music and
Premium for incredibly personalized, curated music discovery.
	 Basic Playlisting
Basic Playlisting, our entry-level playlisting offering, delivers simple and straightforward music playlisting or
radio stations based on a seed artist, song or genre.
Basic Playlisting API
The Basic Playlisting API supports artist seeds (up to five), song seeds (up to five) and genre seeds (up to five),
and returns a playlist of up to 100 tracks. Playlist results can adhere to the DMCA’s rules for non-interactive
webcasts.
Artist, song or
genre radio
Listener Music Service
Seed artist, song
or genre
2
1
music discovery & personalization
	 Standard Playlisting
Standard Playlisting delivers personalized playlists and radio experiences rooted in the most in-depth
understanding of each individual music fan. Standard Playlisting supports all playlist types in Basic, plus adds
the ability to create artist-specific playlists, personalized playlists, and tune any playlist or radio station on the fly.
Standard Playlisting APIs
Standard Playlisting utilizes one of two Playlist APIs, and may also be integrated with The Echo Nest’s Taste
Profile technology, which captures each fan’s unique music tastes and preferences to personalize playlists,
radio stations, recommendations, and other music discovery applications.
zz Static Playlist API - A simple “query-response”
	 API method, which generates a playlist of up
	 to 100 tracks based on the given artist(s),
	 song(s), genre, or Taste Profile.
zz Dynamic Playlist API - A suite of APIs that
	 deliver an interactive, personalized radio
	 experience that incorporates real-time feed-
	 back and tuning from the end user. Each
	 dynamic playlist session creates a new session
	 ID which maintains rules for playlist generation,
	 listening activity (plays, skips), and user feed-
	 back (bans, favorites, ratings) to ensure
	 continuity and an increasingly personalized
	 playlist experience.
zz Taste Profile API - Taste Profiles enable
	 customers to maintain a collection of artists
	 and songs associated with a specific user, as
	 well as that user’s listening activity and
	 preferences. Dynamic playlist session activity
	 (plays, skips) and feedback (bans, favorites,
	 ratings) can be recorded to a Taste Profile.
	 Unlike session IDs, which expire after 24 hours
	 of inactivity, Taste Profiles allow all listening
	 activity and feedback to inform future playlist
	 sessions.
Radio or artist-specific
playlists personalized
based on user’s
Taste Profile
Listener
Playlist tuning
controls:
skips, bans, favorites
and ratings
4
2
Playlist filtering
controls:
song variety, distribution,
adventurousness,
and type
Taste Profile
Music Service
Seed artist,song,
genre, or
Taste Profile
1
3
music discovery & personalization
Standard Playlist Filtering & Tuning Controls
Standard Playlisting includes a number of powerful filtering and tuning controls to allow users to personalize their
playlists, including:
zz Feedback - Allows user to skip, ban, favorite or
	 rate songs
zz Song Type - Include or exclude songs cat-
	 egorized as Christmas, acoustic, electric, live,
	 and studio.
zz Distribution - Determines whether playlists will
	 have a ‘focused’ distribution (tightly clustered
	 around seeds) or ‘wandering’ distribution (a
	 broader range of artists)
zz Variety - Controls the variety of artists that
	 appear in a playlist.
zz Adventurousness - Controls how much of the
	 playlist is known/unknown to the user based on
	 their Taste Profile.
zz Genre Presets - Three genre radio presets
	 -- Core, In_Rotation, and Emerging -- to power
	 unique genre discovery experiences.
	 Premium Playlisting
Premium Playlisting, our most advanced playlisting offering, leverages our deep cultural and acoustic
understanding of music, personal listener understanding, and an incredibly flexible engine to tune and
customize listening experiences. Premium Playlisting includes all Standard capabilities, adds additional playlist
controls, and supports the creation of user- or editorially-driven stations.
Premium Playlisting APIs
Premium Playlisting supports the same API methods and playlist types as Standard (Static Playlist API, Dynamic
Playlist API and Taste Profile API).
Radio or artist-specific
playlists personalized
based on user’s
Taste Profile
Listener
Additional playlist
tuning controls:
10+ cultural and
acoustical attributes
4
2
Additional playlist
filtering controls:
10+ cultural and
acoustical attributes Taste Profile
Music Service
Seed artist,song,
genre, or
Taste Profile
1
3
music discovery & personalization
Premium Playlist Filtering & Tuning Controls
Premium Playlisting includes all playlist controls available in Standard, while adding a range of acoustical and
cultural attributes, including:
zz Acousticness - an estimate of a song’s
	 acoustic nature
zz Artist Familiarity - how familiar an average
	 person is with the artist
zz Artist Hotttnesss - recent online activity for an
	artist
zz Danceability - how easy it is to dance to a song
zz Duration - the length of a song in seconds
zz Energy - the overall energy of a song
zz Liveness - whether a song was recorded live
zz Loudness - the overall volume of a song
zz Song Hotttnesss - recent online activity for a
	song
zz Speechiness - the amount of speech in a song
zz Tempo - the beats per minute (BPM) of a song
Social Discovery & Recommendations
Customers who use our Standard (Personalized) and
Premium (Curated) playlisting offerings also have
access to our new Social Discovery and Recommenda-
tions features as described below.
	 Social Discovery
Music fans love to discover new music from others who
share similar tastes. With our Taste Profile Similarity API,
music services can convert a user’s social graph into a
far more valuable ‘musical identity’ graph, adding
a layer of musical context across the end user’s social
network.
	Recommendations
Music services can leverage Taste Profiles to gener-
ate personalized recommendations for each listener.
Marketers can use recommendations to steer users
towards content they are likely to enjoy based on insight
into listening history and relevant actions on the service.
Generate personal music
recommendations for each
listener to drive usage
Taste Profile
3
2
Capture each
listener's ongoing
music tastes and
preferences
Facilitate social music discovery by
connecting like-minded listeners
1
music discovery & personalization
The Echo Nest Difference
The BBC, iHeartRadio, Microsoft, Nokia, Rdio, SiriusXM, Vevo and other top music services partner with
The Echo Nest to power their music discovery and personalization. Here are just a few reasons why:
zz Depth of experience. Every day, we deliver
	 smarter, more personalized music discovery
	 experiences for almost every digital music
	 service across the globe, connecting more
	 than 100M music fans to more of the music they
	love.
zz Quality of results. The Echo Nest delivers the
	 most relevant and accurate music playlists and
	 stations across the full music catalog – new and
	 old songs, popular and obscure.
zz Global scale. The Echo Nest was built from the
	 ground up to power music discovery and
	 personalization across large, global music
	 catalogs. We know about and can recom-
	 mend new tracks from any catalog, regardless
	 of geography, genre or popularity.
zz Real-time API. The Echo Nest has solved
	 the “cold start” problem that plagues other
	 recommendation approaches. We can suggest
	 new songs, artists and albums almost instantly,
	 helping your fans set the trends, not follow
	them.
zz Flexibility and control. The Echo Nest offers the
	 most editorial and end-user control in the
	 industry. You can tune and refine The Echo
	Nest’s discovery experience manually, pro-
	 grammatically, or both, through an array of
	 acoustical and cultural options.
Want to delight your fans with personalized music discovery?
Contact us - we can help.
With over 15 years of research and development, The Echo Nest is the trusted choice of leading brands in the
industry. If you are looking to enhance your product with the best experience for your users and increase your
user engagement, look no further.
biz@echonest.com 617-628-0233 the.echonest.com
The Echo Nest powers the future of music. We help
music companies develop and commercialize the most
advanced, personalized and engaging music applications
in the world. The Echo Nest’s music intelligence platform
powers over 400 applications, re-defining how fans
discover, share and interact with music. Our customers
include leading music services (Clear Channel’s iHeart-
Radio, Rdio, SiriusXM), editorial, video and social media
networks (BBC.com, Foursquare, MTV, Twitter, VEVO, Yahoo!),
connected device manufacturers (Nokia), and big brands
(Intel, Microsoft, Reebok).
On Facebook On LinkedIn On Twitter Our Blog

More Related Content

What's hot

Using mashup technology to improve findability
Using mashup technology to improve findabilityUsing mashup technology to improve findability
Using mashup technology to improve findabilitySten Govaerts
 
Teosto – What's this song? @finlandiatalo
Teosto – What's this song? @finlandiataloTeosto – What's this song? @finlandiatalo
Teosto – What's this song? @finlandiataloTeosto ry
 
Sound cloud
Sound cloudSound cloud
Sound cloudtnc068
 
Do Androids Dream Of Algorithmic Playlists
Do Androids Dream Of Algorithmic PlaylistsDo Androids Dream Of Algorithmic Playlists
Do Androids Dream Of Algorithmic PlaylistsMatthew Hawn
 
20190625 Research at Taiwan AI Labs: Music and Speech AI
20190625 Research at Taiwan AI Labs: Music and Speech AI20190625 Research at Taiwan AI Labs: Music and Speech AI
20190625 Research at Taiwan AI Labs: Music and Speech AIYi-Hsuan Yang
 
Pitch session #2
Pitch session #2Pitch session #2
Pitch session #2MaMAEvent
 
Machine learning for creative AI applications in music (2018 nov)
Machine learning for creative AI applications in music (2018 nov)Machine learning for creative AI applications in music (2018 nov)
Machine learning for creative AI applications in music (2018 nov)Yi-Hsuan Yang
 
How to create a podcast
How to create a podcastHow to create a podcast
How to create a podcastFALE - UFMG
 
Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...
Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...
Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...Andreas Floros
 
Evaluation Question 6
Evaluation Question 6Evaluation Question 6
Evaluation Question 6Bamba Sidibe
 
Problems and Solutions in Game Audio
Problems and Solutions in Game AudioProblems and Solutions in Game Audio
Problems and Solutions in Game AudioKaren Collins
 
20211026 taicca 2 music generation
20211026 taicca 2 music generation20211026 taicca 2 music generation
20211026 taicca 2 music generationYi-Hsuan Yang
 

What's hot (17)

Using mashup technology to improve findability
Using mashup technology to improve findabilityUsing mashup technology to improve findability
Using mashup technology to improve findability
 
Teosto – What's this song? @finlandiatalo
Teosto – What's this song? @finlandiataloTeosto – What's this song? @finlandiatalo
Teosto – What's this song? @finlandiatalo
 
Sound cloud
Sound cloudSound cloud
Sound cloud
 
Do Androids Dream Of Algorithmic Playlists
Do Androids Dream Of Algorithmic PlaylistsDo Androids Dream Of Algorithmic Playlists
Do Androids Dream Of Algorithmic Playlists
 
Music mobile
Music mobileMusic mobile
Music mobile
 
Btp 1st
Btp 1stBtp 1st
Btp 1st
 
20190625 Research at Taiwan AI Labs: Music and Speech AI
20190625 Research at Taiwan AI Labs: Music and Speech AI20190625 Research at Taiwan AI Labs: Music and Speech AI
20190625 Research at Taiwan AI Labs: Music and Speech AI
 
Pitch session #2
Pitch session #2Pitch session #2
Pitch session #2
 
Machine learning for creative AI applications in music (2018 nov)
Machine learning for creative AI applications in music (2018 nov)Machine learning for creative AI applications in music (2018 nov)
Machine learning for creative AI applications in music (2018 nov)
 
How to create a podcast
How to create a podcastHow to create a podcast
How to create a podcast
 
Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...
Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...
Sound Events and Emotions: Investigating the Relation of Rhythmic Characteri...
 
楊奕軒/音樂資料檢索
楊奕軒/音樂資料檢索楊奕軒/音樂資料檢索
楊奕軒/音樂資料檢索
 
Evaluation Question 6
Evaluation Question 6Evaluation Question 6
Evaluation Question 6
 
Problems and Solutions in Game Audio
Problems and Solutions in Game AudioProblems and Solutions in Game Audio
Problems and Solutions in Game Audio
 
Podsafe Music
Podsafe MusicPodsafe Music
Podsafe Music
 
Pandora
PandoraPandora
Pandora
 
20211026 taicca 2 music generation
20211026 taicca 2 music generation20211026 taicca 2 music generation
20211026 taicca 2 music generation
 

Viewers also liked

The Echo Nest at Music and Bits, October 21 2009
The Echo Nest at Music and Bits, October 21 2009The Echo Nest at Music and Bits, October 21 2009
The Echo Nest at Music and Bits, October 21 2009Brian Whitman
 
Cut Bait - 10 Years of Dorkbot
Cut Bait - 10 Years of DorkbotCut Bait - 10 Years of Dorkbot
Cut Bait - 10 Years of DorkbotBrian Whitman
 
Music data is scary, beautiful and exciting
Music data is scary, beautiful and excitingMusic data is scary, beautiful and exciting
Music data is scary, beautiful and excitingBrian Whitman
 
The Echo Nest Remix at Dorkbot NYC, March 4 2009
The Echo Nest Remix at Dorkbot NYC, March 4 2009The Echo Nest Remix at Dorkbot NYC, March 4 2009
The Echo Nest Remix at Dorkbot NYC, March 4 2009Brian Whitman
 
The future music platform
The future music platformThe future music platform
The future music platformBrian Whitman
 
Echo nest-api-boston-2012
Echo nest-api-boston-2012Echo nest-api-boston-2012
Echo nest-api-boston-2012Paul Lamere
 
ML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive AnalyticsML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive AnalyticsErik Bernhardsson
 
Luigi Presentation at OSCON 2013
Luigi Presentation at OSCON 2013Luigi Presentation at OSCON 2013
Luigi Presentation at OSCON 2013Erik Bernhardsson
 
Recommendation at Netflix Scale
Recommendation at Netflix ScaleRecommendation at Netflix Scale
Recommendation at Netflix ScaleJustin Basilico
 
Luigi presentation NYC Data Science
Luigi presentation NYC Data ScienceLuigi presentation NYC Data Science
Luigi presentation NYC Data ScienceErik Bernhardsson
 
Approximate nearest neighbor methods and vector models – NYC ML meetup
Approximate nearest neighbor methods and vector models – NYC ML meetupApproximate nearest neighbor methods and vector models – NYC ML meetup
Approximate nearest neighbor methods and vector models – NYC ML meetupErik Bernhardsson
 
Collaborative Filtering with Spark
Collaborative Filtering with SparkCollaborative Filtering with Spark
Collaborative Filtering with SparkChris Johnson
 
Algorithmic Music Recommendations at Spotify
Algorithmic Music Recommendations at SpotifyAlgorithmic Music Recommendations at Spotify
Algorithmic Music Recommendations at SpotifyChris Johnson
 
Music Recommendations at Scale with Spark
Music Recommendations at Scale with SparkMusic Recommendations at Scale with Spark
Music Recommendations at Scale with SparkChris Johnson
 
Collaborative Filtering at Spotify
Collaborative Filtering at SpotifyCollaborative Filtering at Spotify
Collaborative Filtering at SpotifyErik Bernhardsson
 
Scala Data Pipelines for Music Recommendations
Scala Data Pipelines for Music RecommendationsScala Data Pipelines for Music Recommendations
Scala Data Pipelines for Music RecommendationsChris Johnson
 
Interactive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and SpotifyInteractive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and SpotifyChris Johnson
 
Music recommendations @ MLConf 2014
Music recommendations @ MLConf 2014Music recommendations @ MLConf 2014
Music recommendations @ MLConf 2014Erik Bernhardsson
 
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Xavier Amatriain
 

Viewers also liked (20)

The Echo Nest at Music and Bits, October 21 2009
The Echo Nest at Music and Bits, October 21 2009The Echo Nest at Music and Bits, October 21 2009
The Echo Nest at Music and Bits, October 21 2009
 
Cut Bait - 10 Years of Dorkbot
Cut Bait - 10 Years of DorkbotCut Bait - 10 Years of Dorkbot
Cut Bait - 10 Years of Dorkbot
 
Music data is scary, beautiful and exciting
Music data is scary, beautiful and excitingMusic data is scary, beautiful and exciting
Music data is scary, beautiful and exciting
 
The Echo Nest Remix at Dorkbot NYC, March 4 2009
The Echo Nest Remix at Dorkbot NYC, March 4 2009The Echo Nest Remix at Dorkbot NYC, March 4 2009
The Echo Nest Remix at Dorkbot NYC, March 4 2009
 
The future music platform
The future music platformThe future music platform
The future music platform
 
Echo nest-api-boston-2012
Echo nest-api-boston-2012Echo nest-api-boston-2012
Echo nest-api-boston-2012
 
ML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive AnalyticsML+Hadoop at NYC Predictive Analytics
ML+Hadoop at NYC Predictive Analytics
 
Luigi future
Luigi futureLuigi future
Luigi future
 
Luigi Presentation at OSCON 2013
Luigi Presentation at OSCON 2013Luigi Presentation at OSCON 2013
Luigi Presentation at OSCON 2013
 
Recommendation at Netflix Scale
Recommendation at Netflix ScaleRecommendation at Netflix Scale
Recommendation at Netflix Scale
 
Luigi presentation NYC Data Science
Luigi presentation NYC Data ScienceLuigi presentation NYC Data Science
Luigi presentation NYC Data Science
 
Approximate nearest neighbor methods and vector models – NYC ML meetup
Approximate nearest neighbor methods and vector models – NYC ML meetupApproximate nearest neighbor methods and vector models – NYC ML meetup
Approximate nearest neighbor methods and vector models – NYC ML meetup
 
Collaborative Filtering with Spark
Collaborative Filtering with SparkCollaborative Filtering with Spark
Collaborative Filtering with Spark
 
Algorithmic Music Recommendations at Spotify
Algorithmic Music Recommendations at SpotifyAlgorithmic Music Recommendations at Spotify
Algorithmic Music Recommendations at Spotify
 
Music Recommendations at Scale with Spark
Music Recommendations at Scale with SparkMusic Recommendations at Scale with Spark
Music Recommendations at Scale with Spark
 
Collaborative Filtering at Spotify
Collaborative Filtering at SpotifyCollaborative Filtering at Spotify
Collaborative Filtering at Spotify
 
Scala Data Pipelines for Music Recommendations
Scala Data Pipelines for Music RecommendationsScala Data Pipelines for Music Recommendations
Scala Data Pipelines for Music Recommendations
 
Interactive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and SpotifyInteractive Recommender Systems with Netflix and Spotify
Interactive Recommender Systems with Netflix and Spotify
 
Music recommendations @ MLConf 2014
Music recommendations @ MLConf 2014Music recommendations @ MLConf 2014
Music recommendations @ MLConf 2014
 
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)Recommender Systems (Machine Learning Summer School 2014 @ CMU)
Recommender Systems (Machine Learning Summer School 2014 @ CMU)
 

Similar to The echo nest-music_discovery(1)

FindStream investor deck
FindStream investor deckFindStream investor deck
FindStream investor deckFindStream
 
Personalizing the listening experience
Personalizing the listening experiencePersonalizing the listening experience
Personalizing the listening experienceMounia Lalmas-Roelleke
 
Echo pitch deck
Echo pitch deckEcho pitch deck
Echo pitch deckEcho
 
Music Personalization At Spotify
Music Personalization At SpotifyMusic Personalization At Spotify
Music Personalization At SpotifyVidhya Murali
 
[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubs
[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubs[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubs
[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubsTracktl
 
[EN] [Product] Tracktl, the new sound system for your launching campaign
[EN] [Product] Tracktl, the new sound system for your launching campaign[EN] [Product] Tracktl, the new sound system for your launching campaign
[EN] [Product] Tracktl, the new sound system for your launching campaignTracktl
 
Product Owner presentation for Spotify
Product Owner presentation for SpotifyProduct Owner presentation for Spotify
Product Owner presentation for Spotifypdicorpo
 
AuxQ Presentation #5
AuxQ Presentation #5AuxQ Presentation #5
AuxQ Presentation #5Gautham Ravi
 
[EN] [Festivals] Tracktl, the new sound system for your music festivals
[EN] [Festivals] Tracktl, the new sound system for your music festivals[EN] [Festivals] Tracktl, the new sound system for your music festivals
[EN] [Festivals] Tracktl, the new sound system for your music festivalsTracktl
 
[EN] [Bars] Tracklt, the new sound system for your
[EN] [Bars] Tracklt, the new sound system for your[EN] [Bars] Tracklt, the new sound system for your
[EN] [Bars] Tracklt, the new sound system for yourTracktl
 
Gracenote: Music Navigation and Discovery
Gracenote: Music Navigation and DiscoveryGracenote: Music Navigation and Discovery
Gracenote: Music Navigation and Discoveryswissnex San Francisco
 
Introducing Songdew- The fastest growing music network in India
Introducing Songdew- The fastest growing music network in IndiaIntroducing Songdew- The fastest growing music network in India
Introducing Songdew- The fastest growing music network in IndiaSunny Davar
 
App and service ui
App and service uiApp and service ui
App and service uiYoon Miyoung
 
Deezer and Spotify for brands and labels
Deezer and Spotify for brands and labelsDeezer and Spotify for brands and labels
Deezer and Spotify for brands and labelsPlayApp
 
[EN] [Bowling] Tracktl, the new sound system for your bowling alleys
[EN] [Bowling] Tracktl, the new sound system for your bowling alleys[EN] [Bowling] Tracktl, the new sound system for your bowling alleys
[EN] [Bowling] Tracktl, the new sound system for your bowling alleysTracktl
 
James Farrelly - Making Streaming Work [Darker Music Talks July 2015]
James Farrelly - Making Streaming Work [Darker Music Talks July 2015]James Farrelly - Making Streaming Work [Darker Music Talks July 2015]
James Farrelly - Making Streaming Work [Darker Music Talks July 2015]Tommy Darker
 
Applications of AI and NLP to advance Music Recommendations on Voice Assistants
Applications of AI and NLP to advance Music Recommendations on Voice AssistantsApplications of AI and NLP to advance Music Recommendations on Voice Assistants
Applications of AI and NLP to advance Music Recommendations on Voice AssistantsAI Publications
 

Similar to The echo nest-music_discovery(1) (20)

FindStream investor deck
FindStream investor deckFindStream investor deck
FindStream investor deck
 
Personalizing the listening experience
Personalizing the listening experiencePersonalizing the listening experience
Personalizing the listening experience
 
Echo pitch deck
Echo pitch deckEcho pitch deck
Echo pitch deck
 
Music Personalization At Spotify
Music Personalization At SpotifyMusic Personalization At Spotify
Music Personalization At Spotify
 
[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubs
[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubs[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubs
[EN] [Sport] Tracktl, the new sound system for your gyms and sport clubs
 
Movingfans
MovingfansMovingfans
Movingfans
 
Movingfans full
Movingfans fullMovingfans full
Movingfans full
 
[EN] [Product] Tracktl, the new sound system for your launching campaign
[EN] [Product] Tracktl, the new sound system for your launching campaign[EN] [Product] Tracktl, the new sound system for your launching campaign
[EN] [Product] Tracktl, the new sound system for your launching campaign
 
Product Owner presentation for Spotify
Product Owner presentation for SpotifyProduct Owner presentation for Spotify
Product Owner presentation for Spotify
 
AuxQ Presentation #5
AuxQ Presentation #5AuxQ Presentation #5
AuxQ Presentation #5
 
[EN] [Festivals] Tracktl, the new sound system for your music festivals
[EN] [Festivals] Tracktl, the new sound system for your music festivals[EN] [Festivals] Tracktl, the new sound system for your music festivals
[EN] [Festivals] Tracktl, the new sound system for your music festivals
 
[EN] [Bars] Tracklt, the new sound system for your
[EN] [Bars] Tracklt, the new sound system for your[EN] [Bars] Tracklt, the new sound system for your
[EN] [Bars] Tracklt, the new sound system for your
 
Gracenote: Music Navigation and Discovery
Gracenote: Music Navigation and DiscoveryGracenote: Music Navigation and Discovery
Gracenote: Music Navigation and Discovery
 
Introducing Songdew- The fastest growing music network in India
Introducing Songdew- The fastest growing music network in IndiaIntroducing Songdew- The fastest growing music network in India
Introducing Songdew- The fastest growing music network in India
 
App and service ui
App and service uiApp and service ui
App and service ui
 
Deezer and Spotify for brands and labels
Deezer and Spotify for brands and labelsDeezer and Spotify for brands and labels
Deezer and Spotify for brands and labels
 
[EN] [Bowling] Tracktl, the new sound system for your bowling alleys
[EN] [Bowling] Tracktl, the new sound system for your bowling alleys[EN] [Bowling] Tracktl, the new sound system for your bowling alleys
[EN] [Bowling] Tracktl, the new sound system for your bowling alleys
 
James Farrelly - Making Streaming Work [Darker Music Talks July 2015]
James Farrelly - Making Streaming Work [Darker Music Talks July 2015]James Farrelly - Making Streaming Work [Darker Music Talks July 2015]
James Farrelly - Making Streaming Work [Darker Music Talks July 2015]
 
Applications of AI and NLP to advance Music Recommendations on Voice Assistants
Applications of AI and NLP to advance Music Recommendations on Voice AssistantsApplications of AI and NLP to advance Music Recommendations on Voice Assistants
Applications of AI and NLP to advance Music Recommendations on Voice Assistants
 
Silent party np
Silent party npSilent party np
Silent party np
 

Recently uploaded

Kolkata Call Girls Service +918240919228 - Kolkatanightgirls.com
Kolkata Call Girls Service +918240919228 - Kolkatanightgirls.comKolkata Call Girls Service +918240919228 - Kolkatanightgirls.com
Kolkata Call Girls Service +918240919228 - Kolkatanightgirls.comKolkata Call Girls
 
定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一
定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一
定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一lvtagr7
 
Hot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtS
Hot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtSHot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtS
Hot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtSApsara Of India
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607dollysharma2066
 
Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...
Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...
Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...Amil Baba Company
 
Gripping Adult Web Series You Can't Afford to Miss
Gripping Adult Web Series You Can't Afford to MissGripping Adult Web Series You Can't Afford to Miss
Gripping Adult Web Series You Can't Afford to Missget joys
 
Call Girl Price Andheri WhatsApp:+91-9833363713
Call Girl Price Andheri WhatsApp:+91-9833363713Call Girl Price Andheri WhatsApp:+91-9833363713
Call Girl Price Andheri WhatsApp:+91-9833363713Sonam Pathan
 
Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...
Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...
Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...Amil Baba Company
 
Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...
Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...
Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...Amil Baba Company
 
Call Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal Escorts
Call Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal EscortsCall Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal Escorts
Call Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal EscortsApsara Of India
 
Call Girls Delhi {Safdarjung} 9711199012 high profile service
Call Girls Delhi {Safdarjung} 9711199012 high profile serviceCall Girls Delhi {Safdarjung} 9711199012 high profile service
Call Girls Delhi {Safdarjung} 9711199012 high profile servicerehmti665
 
1681275559_haunting-adeline and hunting.pdf
1681275559_haunting-adeline and hunting.pdf1681275559_haunting-adeline and hunting.pdf
1681275559_haunting-adeline and hunting.pdfTanjirokamado769606
 
Fun Call Girls In Goa 7028418221 Call Girl Service In Panaji Escorts
Fun Call Girls In Goa 7028418221 Call Girl Service In Panaji EscortsFun Call Girls In Goa 7028418221 Call Girl Service In Panaji Escorts
Fun Call Girls In Goa 7028418221 Call Girl Service In Panaji EscortsApsara Of India
 
NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...
NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...
NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...Amil baba
 
ViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcE
ViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcEViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcE
ViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcEApsara Of India
 
LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)
LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)
LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)bertfelixtorre
 
Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝soniya singh
 
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...First NO1 World Amil baba in Faisalabad
 
Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)
Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)
Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)dollysharma2066
 

Recently uploaded (20)

Kolkata Call Girls Service +918240919228 - Kolkatanightgirls.com
Kolkata Call Girls Service +918240919228 - Kolkatanightgirls.comKolkata Call Girls Service +918240919228 - Kolkatanightgirls.com
Kolkata Call Girls Service +918240919228 - Kolkatanightgirls.com
 
Call Girls Koti 7001305949 all area service COD available Any Time
Call Girls Koti 7001305949 all area service COD available Any TimeCall Girls Koti 7001305949 all area service COD available Any Time
Call Girls Koti 7001305949 all area service COD available Any Time
 
定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一
定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一
定制(UofT毕业证书)加拿大多伦多大学毕业证成绩单原版一比一
 
Hot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtS
Hot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtSHot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtS
Hot Call Girls In Goa 7028418221 Call Girls In Vagator Beach EsCoRtS
 
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607
FULL ENJOY Call Girls In Mahipalpur Delhi Contact Us 8377087607
 
Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...
Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...
Amil baba in Pakistan amil baba Karachi amil baba in pakistan amil baba in la...
 
Gripping Adult Web Series You Can't Afford to Miss
Gripping Adult Web Series You Can't Afford to MissGripping Adult Web Series You Can't Afford to Miss
Gripping Adult Web Series You Can't Afford to Miss
 
Call Girl Price Andheri WhatsApp:+91-9833363713
Call Girl Price Andheri WhatsApp:+91-9833363713Call Girl Price Andheri WhatsApp:+91-9833363713
Call Girl Price Andheri WhatsApp:+91-9833363713
 
Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...
Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...
Amil Baba in Pakistan Kala jadu Expert Amil baba Black magic Specialist in Is...
 
Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...
Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...
Real NO1 Amil baba in Faisalabad Kala jadu in faisalabad Aamil baba Faisalaba...
 
Call Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal Escorts
Call Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal EscortsCall Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal Escorts
Call Girls In Karnal O8860008073 Sector 6 7 8 9 Karnal Escorts
 
Call Girls Delhi {Safdarjung} 9711199012 high profile service
Call Girls Delhi {Safdarjung} 9711199012 high profile serviceCall Girls Delhi {Safdarjung} 9711199012 high profile service
Call Girls Delhi {Safdarjung} 9711199012 high profile service
 
1681275559_haunting-adeline and hunting.pdf
1681275559_haunting-adeline and hunting.pdf1681275559_haunting-adeline and hunting.pdf
1681275559_haunting-adeline and hunting.pdf
 
Fun Call Girls In Goa 7028418221 Call Girl Service In Panaji Escorts
Fun Call Girls In Goa 7028418221 Call Girl Service In Panaji EscortsFun Call Girls In Goa 7028418221 Call Girl Service In Panaji Escorts
Fun Call Girls In Goa 7028418221 Call Girl Service In Panaji Escorts
 
NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...
NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...
NO1 WorldWide Amil baba in pakistan Amil Baba in Karachi Black Magic Islamaba...
 
ViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcE
ViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcEViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcE
ViP Call Girls In Udaipur 9602870969 Gulab Bagh Escorts SeRvIcE
 
LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)
LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)
LE IMPOSSIBRU QUIZ (Based on Splapp-me-do)
 
Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝
Call Girls in Najafgarh Delhi 💯Call Us 🔝8264348440🔝
 
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
Authentic No 1 Amil Baba In Pakistan Authentic No 1 Amil Baba In Karachi No 1...
 
Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)
Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)
Call US '' 8377087607'' !! Call Girls In Model Town Metro (Delhi NCR)
 

The echo nest-music_discovery(1)

  • 1. music discovery & personalization The Echo Nest pioneered data-driven music discovery. Today, we power more music discovery experiences than any other company. Lead- ing music services including Clear Channel, Microsoft, Nokia, Rdio, SiriusXM, and VEVO have partnered with The Echo Nest to help build better, smarter apps that understand and delight every fan. The Echo Nest brings deep experience in applying next-generation music discovery technology to demonstrably improve user acquisition and loyalty, while the breadth and flexibility of our platform empowers customers to innovate faster at a lower cost, and scale globally with confidence. We specialize in working with innovative product teams to design and deliver unique, personalized music experiences – from intel- ligent song and artist radio, to personalized, curated playlists, to engaging social discovery applications. And we do it through a single, flexible API to bring your innovations to market quickly while strengthening your differentiation. With our unmatched experience, high-quality results, breadth of coverage, and true flexibility and control, we’re delivering unparalleled ROI for our music service partners. We’ve increased session length as much as 50% by personalizing and improving playlist quality. Key Capabilities: zz Song, artist and genre radio zz Rich Taste Profiles that understand each fan’s preferences zz Personalized playlisting with real-time user feedback zz Tools for professional music editorial teams to create and curate at scale zz Social, fan-to-fan music discovery zz Artist and song recommendations zz Custom radio programming rules, including DMCA support Benefits: zz Increase user acquisition and en- gagement (session time, repeat use) zz Build more innovative user experi- ences quickly at a lower cost zz Deliver best-in-class music discovery at a global scale (multiple catalogs, any region) Music Discovery & Personalization In the millions-of-songs-in-my-pocket-era of digital music, discovery is more important than ever. Music fans expect music applications to understand and know what they want to hear – automatically.
  • 2. music discovery & personalization The Echo Nest’s Music Discovery & Personalization solution is a suite of advanced capabilities to build engaging, personalized music discovery experiences, including: zz Three advanced playlisting offerings that power unique online radio and personalized, interactive listening experiences zz A social discovery engine that helps fans discover new music from fans with similar tastes zz An intelligent music recommendations engine that suggests the best artists and songs for each fan Playlisting The Echo Nest is the leader in data-driven music playlisting. We leverage everything we know about music to help music services deliver smarter, more personalized, highly interactive playlisting. To meet the needs of all customers – from the largest digital music service providers to new music apps – we provide three playlisting offerings: Basic for online radio, Standard for personalized, interactive music and Premium for incredibly personalized, curated music discovery. Basic Playlisting Basic Playlisting, our entry-level playlisting offering, delivers simple and straightforward music playlisting or radio stations based on a seed artist, song or genre. Basic Playlisting API The Basic Playlisting API supports artist seeds (up to five), song seeds (up to five) and genre seeds (up to five), and returns a playlist of up to 100 tracks. Playlist results can adhere to the DMCA’s rules for non-interactive webcasts. Artist, song or genre radio Listener Music Service Seed artist, song or genre 2 1
  • 3. music discovery & personalization Standard Playlisting Standard Playlisting delivers personalized playlists and radio experiences rooted in the most in-depth understanding of each individual music fan. Standard Playlisting supports all playlist types in Basic, plus adds the ability to create artist-specific playlists, personalized playlists, and tune any playlist or radio station on the fly. Standard Playlisting APIs Standard Playlisting utilizes one of two Playlist APIs, and may also be integrated with The Echo Nest’s Taste Profile technology, which captures each fan’s unique music tastes and preferences to personalize playlists, radio stations, recommendations, and other music discovery applications. zz Static Playlist API - A simple “query-response” API method, which generates a playlist of up to 100 tracks based on the given artist(s), song(s), genre, or Taste Profile. zz Dynamic Playlist API - A suite of APIs that deliver an interactive, personalized radio experience that incorporates real-time feed- back and tuning from the end user. Each dynamic playlist session creates a new session ID which maintains rules for playlist generation, listening activity (plays, skips), and user feed- back (bans, favorites, ratings) to ensure continuity and an increasingly personalized playlist experience. zz Taste Profile API - Taste Profiles enable customers to maintain a collection of artists and songs associated with a specific user, as well as that user’s listening activity and preferences. Dynamic playlist session activity (plays, skips) and feedback (bans, favorites, ratings) can be recorded to a Taste Profile. Unlike session IDs, which expire after 24 hours of inactivity, Taste Profiles allow all listening activity and feedback to inform future playlist sessions. Radio or artist-specific playlists personalized based on user’s Taste Profile Listener Playlist tuning controls: skips, bans, favorites and ratings 4 2 Playlist filtering controls: song variety, distribution, adventurousness, and type Taste Profile Music Service Seed artist,song, genre, or Taste Profile 1 3
  • 4. music discovery & personalization Standard Playlist Filtering & Tuning Controls Standard Playlisting includes a number of powerful filtering and tuning controls to allow users to personalize their playlists, including: zz Feedback - Allows user to skip, ban, favorite or rate songs zz Song Type - Include or exclude songs cat- egorized as Christmas, acoustic, electric, live, and studio. zz Distribution - Determines whether playlists will have a ‘focused’ distribution (tightly clustered around seeds) or ‘wandering’ distribution (a broader range of artists) zz Variety - Controls the variety of artists that appear in a playlist. zz Adventurousness - Controls how much of the playlist is known/unknown to the user based on their Taste Profile. zz Genre Presets - Three genre radio presets -- Core, In_Rotation, and Emerging -- to power unique genre discovery experiences. Premium Playlisting Premium Playlisting, our most advanced playlisting offering, leverages our deep cultural and acoustic understanding of music, personal listener understanding, and an incredibly flexible engine to tune and customize listening experiences. Premium Playlisting includes all Standard capabilities, adds additional playlist controls, and supports the creation of user- or editorially-driven stations. Premium Playlisting APIs Premium Playlisting supports the same API methods and playlist types as Standard (Static Playlist API, Dynamic Playlist API and Taste Profile API). Radio or artist-specific playlists personalized based on user’s Taste Profile Listener Additional playlist tuning controls: 10+ cultural and acoustical attributes 4 2 Additional playlist filtering controls: 10+ cultural and acoustical attributes Taste Profile Music Service Seed artist,song, genre, or Taste Profile 1 3
  • 5. music discovery & personalization Premium Playlist Filtering & Tuning Controls Premium Playlisting includes all playlist controls available in Standard, while adding a range of acoustical and cultural attributes, including: zz Acousticness - an estimate of a song’s acoustic nature zz Artist Familiarity - how familiar an average person is with the artist zz Artist Hotttnesss - recent online activity for an artist zz Danceability - how easy it is to dance to a song zz Duration - the length of a song in seconds zz Energy - the overall energy of a song zz Liveness - whether a song was recorded live zz Loudness - the overall volume of a song zz Song Hotttnesss - recent online activity for a song zz Speechiness - the amount of speech in a song zz Tempo - the beats per minute (BPM) of a song Social Discovery & Recommendations Customers who use our Standard (Personalized) and Premium (Curated) playlisting offerings also have access to our new Social Discovery and Recommenda- tions features as described below. Social Discovery Music fans love to discover new music from others who share similar tastes. With our Taste Profile Similarity API, music services can convert a user’s social graph into a far more valuable ‘musical identity’ graph, adding a layer of musical context across the end user’s social network. Recommendations Music services can leverage Taste Profiles to gener- ate personalized recommendations for each listener. Marketers can use recommendations to steer users towards content they are likely to enjoy based on insight into listening history and relevant actions on the service. Generate personal music recommendations for each listener to drive usage Taste Profile 3 2 Capture each listener's ongoing music tastes and preferences Facilitate social music discovery by connecting like-minded listeners 1
  • 6. music discovery & personalization The Echo Nest Difference The BBC, iHeartRadio, Microsoft, Nokia, Rdio, SiriusXM, Vevo and other top music services partner with The Echo Nest to power their music discovery and personalization. Here are just a few reasons why: zz Depth of experience. Every day, we deliver smarter, more personalized music discovery experiences for almost every digital music service across the globe, connecting more than 100M music fans to more of the music they love. zz Quality of results. The Echo Nest delivers the most relevant and accurate music playlists and stations across the full music catalog – new and old songs, popular and obscure. zz Global scale. The Echo Nest was built from the ground up to power music discovery and personalization across large, global music catalogs. We know about and can recom- mend new tracks from any catalog, regardless of geography, genre or popularity. zz Real-time API. The Echo Nest has solved the “cold start” problem that plagues other recommendation approaches. We can suggest new songs, artists and albums almost instantly, helping your fans set the trends, not follow them. zz Flexibility and control. The Echo Nest offers the most editorial and end-user control in the industry. You can tune and refine The Echo Nest’s discovery experience manually, pro- grammatically, or both, through an array of acoustical and cultural options. Want to delight your fans with personalized music discovery? Contact us - we can help. With over 15 years of research and development, The Echo Nest is the trusted choice of leading brands in the industry. If you are looking to enhance your product with the best experience for your users and increase your user engagement, look no further. biz@echonest.com 617-628-0233 the.echonest.com
  • 7. The Echo Nest powers the future of music. We help music companies develop and commercialize the most advanced, personalized and engaging music applications in the world. The Echo Nest’s music intelligence platform powers over 400 applications, re-defining how fans discover, share and interact with music. Our customers include leading music services (Clear Channel’s iHeart- Radio, Rdio, SiriusXM), editorial, video and social media networks (BBC.com, Foursquare, MTV, Twitter, VEVO, Yahoo!), connected device manufacturers (Nokia), and big brands (Intel, Microsoft, Reebok). On Facebook On LinkedIn On Twitter Our Blog