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Reaching the social mass-market
                 Tim Hadley, Rara.com

                                                  #m4pt5
Event partners
                                                #socialmusic

                                        Music 4.5 is
                                        organised by
Music 4.5: Reaching the Social Mass Market
(Do humans still have a place in music recommendation or are the robots taking over)

                                    Tim Hadley
                                 Director, rara.com
                                  November 2012
rara.com
User experience to attract the mass market


 • Simple and beautiful user interface
 • Intuitive, easy to use
 • Browser based: access on any PC or Mac
 • iOS / Android / Windows 8 apps
 • On-demand search and play
 • Curated channels and playlists
 • Music track/album sharing
 • Advert free, uninterrupted listening
rara.com
International music streaming


                         International reach:
                         • Live across 27 countries
                         • Global licensed catalogue: 18 million tracks
                         • Licenses with all four major labels and leading
                           independents


                         Global local service:
                         • Localised catalogue for every country live
                         • Channels and playlists curated by local
                           musicologist from each country
Localised curation
Channels curated to local music tastes

The majority of consumers do not want to program their
experience and are challenged when faced with a search box

Curated channels and recommendation:
   • rara.com is a hybrid of radio and fully on-demand
   • Curation is focused on local tastes


   Human recommendation:
   • Human curators for each market
   • Channels, playlists: Genre, Era, Mood, Great Playlists


   Algorithmic recommendation:
   • “You might like” algorithmic recommendations
   • “Related artists” nearest neighbour artist recommendations
The problem: what do I listen to?

Radio:                               Digital music services:
• 100 – 120 track weekly playlists   • 28,000,000 tracks
Recommendation sources

Pre-internet:           Internet:
• Friend                • Social: Twitter / Facebook
• Radio                 • Websites
• TV                    • Digital music services
• Magazines
• Advertising
The solution: recommendation sources

Human:                              Algorithm: (the Robots)
• Friends                           • Music services
• Experts / artists / celebrities
• Media
• Music services
Putting music in boxes
Track attributes: content owner/creator

Current level of detail provided by content owner/creator:

Content owner/creator track attributes:
   • Track
   • Artist
   • Album
   • Genre
   • Length
   • ISRC
   • Copyright owner
   • Publisher
Putting music in boxes
Track attributes: meta data providers

Meta data providers: enriching data

Meta data providers:           Additional attributes include:
   • Gracenote                 • Social: Twitter / Facebook
   • ROVI                      • Tempo
   • The EchoNest              • Sub genres: circa 800
   • Richseam                  • Era
                               • Mood: over 100
                               • Pitch
                               • Loudness
                               • Artist relationships / touring / covers / moves
Humans working with the robots
What’s happening today

Most music service recommendations today use combination of
human + robot

Music services utilising combinations of human + algorithm
based recommendations:
   • Human generated catagorisation
   • Scrobbling / crowd sourced plays


   Algorithmically generated playlists:
   • Likes + listening + artist channels + nearest neighbour
   • Social media recommendations
Thank you
Confidential © rara.com 2012
Thank you to our event partners




  #m4pt5
#smartradio                         Music 4.5 is organised by

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Reaching the Social Mass Market with Music Recommendations

  • 1. Reaching the social mass-market Tim Hadley, Rara.com #m4pt5 Event partners #socialmusic Music 4.5 is organised by
  • 2. Music 4.5: Reaching the Social Mass Market (Do humans still have a place in music recommendation or are the robots taking over) Tim Hadley Director, rara.com November 2012
  • 3. rara.com User experience to attract the mass market • Simple and beautiful user interface • Intuitive, easy to use • Browser based: access on any PC or Mac • iOS / Android / Windows 8 apps • On-demand search and play • Curated channels and playlists • Music track/album sharing • Advert free, uninterrupted listening
  • 4. rara.com International music streaming International reach: • Live across 27 countries • Global licensed catalogue: 18 million tracks • Licenses with all four major labels and leading independents Global local service: • Localised catalogue for every country live • Channels and playlists curated by local musicologist from each country
  • 5. Localised curation Channels curated to local music tastes The majority of consumers do not want to program their experience and are challenged when faced with a search box Curated channels and recommendation: • rara.com is a hybrid of radio and fully on-demand • Curation is focused on local tastes Human recommendation: • Human curators for each market • Channels, playlists: Genre, Era, Mood, Great Playlists Algorithmic recommendation: • “You might like” algorithmic recommendations • “Related artists” nearest neighbour artist recommendations
  • 6. The problem: what do I listen to? Radio: Digital music services: • 100 – 120 track weekly playlists • 28,000,000 tracks
  • 7. Recommendation sources Pre-internet: Internet: • Friend • Social: Twitter / Facebook • Radio • Websites • TV • Digital music services • Magazines • Advertising
  • 8. The solution: recommendation sources Human: Algorithm: (the Robots) • Friends • Music services • Experts / artists / celebrities • Media • Music services
  • 9. Putting music in boxes Track attributes: content owner/creator Current level of detail provided by content owner/creator: Content owner/creator track attributes: • Track • Artist • Album • Genre • Length • ISRC • Copyright owner • Publisher
  • 10. Putting music in boxes Track attributes: meta data providers Meta data providers: enriching data Meta data providers: Additional attributes include: • Gracenote • Social: Twitter / Facebook • ROVI • Tempo • The EchoNest • Sub genres: circa 800 • Richseam • Era • Mood: over 100 • Pitch • Loudness • Artist relationships / touring / covers / moves
  • 11. Humans working with the robots What’s happening today Most music service recommendations today use combination of human + robot Music services utilising combinations of human + algorithm based recommendations: • Human generated catagorisation • Scrobbling / crowd sourced plays Algorithmically generated playlists: • Likes + listening + artist channels + nearest neighbour • Social media recommendations
  • 12. Thank you Confidential © rara.com 2012
  • 13. Thank you to our event partners #m4pt5 #smartradio Music 4.5 is organised by