Designing a Better Online Music             Store          by:Larm 2008
Vegard Sandvold●   Enterprise Search    Consultant    –   Comperio AS (FAST        Search & Transfer)●   Music Technologis...
Outline1. Why we need better online music stores2. Power of The Long Tail3. Role of recommender systems in e-commerce4. Ex...
1.0                  Clerk                                           Shelveshttp://flickr.com/photos/lynt/162883105/
Clerk     1.5Shelves
Better... how?●   Rights Holders, Publishers and Retailers    –   «Make more money»●   Artists    –   «Visibility and prom...
Long Tail Economics●   The cost of shelf space online is ZERO●   Therefore:    1. Make everything available    2. Help me ...
The Shape of The Long Tail                The HitsPopularity                                The Long Tail                 ...
Said in Another Way...            100            90            80            70Sales ($)            60            50      ...
Source: «I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System»,Cha et.al.,...
What is a Recommender●   System that connects (relevant) items to items,    items to users, and users to users●   Way to n...
Orders of Information Management 1st order      2nd order       3rd orderStructuring   Classification   Tagging and       ...
Recommendation Strategies1. Expert2. Social3. Content-based
Expert Recommendations     ●   «Im telling you that you will like this, because I         know a lot about music»     ●   ...
Non-expert Recommendations               http://www.viruscomix.com/page398.html
Social recommenders●   «You will like this, because its popular with    people like you»●   Pros    –   Works for and betw...
Artists Similar to U2  Source: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
Small-world Networks
The Long Tail Reach of Amazon
Social TaggingPros                          Cons● Order emerges from chaos    ● Polysemy, synonyms, spelling  (folksonomie...
Content-based Recommendations●   «You will like this, because it sounds like something    you already like»●   Objective m...
Comperio Music Search    Demo
The Effect of CB RecommendationsSource: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
User Ratings – Yes and No●   Very effective, but highly suggestive    –   We trust other people    –   We tend to like wha...
Viral Marketing1. Social links and sharing2. Widgets
Conclusion●   A Better Online Music Store is built on search    and recommendation●   More money for Rights Holders, Publi...
Thank you!●   Check out «Widgets, Viral Marketing and    Findability» by Andrew Dubber    –   14:15 in this auditorium    ...
Designing a Better Online Music Store (by:Larm 2008)
Designing a Better Online Music Store (by:Larm 2008)
Designing a Better Online Music Store (by:Larm 2008)
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Designing a Better Online Music Store (by:Larm 2008)

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A better online music store is built on search and recommendation. It brings more money for rights holders, publishers and retailers, more visibility and promotion for artists, and more music and fun for consumers.

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Designing a Better Online Music Store (by:Larm 2008)

  1. 1. Designing a Better Online Music Store by:Larm 2008
  2. 2. Vegard Sandvold● Enterprise Search Consultant – Comperio AS (FAST Search & Transfer)● Music Technologist & Entreprenour – Musikkteknologen.no – LiveRevolution.net
  3. 3. Outline1. Why we need better online music stores2. Power of The Long Tail3. Role of recommender systems in e-commerce4. Expert, social and content-based recommendations5. Demo6. Additional thoughts and conclusion
  4. 4. 1.0 Clerk Shelveshttp://flickr.com/photos/lynt/162883105/
  5. 5. Clerk 1.5Shelves
  6. 6. Better... how?● Rights Holders, Publishers and Retailers – «Make more money»● Artists – «Visibility and promotion»● Consumers – «Broaden my horizon» – «Something new that will impress my friends» – «Im in the mood for some soft rock ballads»
  7. 7. Long Tail Economics● The cost of shelf space online is ZERO● Therefore: 1. Make everything available 2. Help me find it● «Recommender systems expose consumers to a larger selection of interesting and relevant music»
  8. 8. The Shape of The Long Tail The HitsPopularity The Long Tail Items
  9. 9. Said in Another Way... 100 90 80 70Sales ($) 60 50 40 30 20 10 0 0 10 20 30 40 50 60 70 80 90 100 100 Products Sales ($) 10 1 1 10 100 Products
  10. 10. Source: «I Tube, You Tube, Everybody Tubes: Analyzing the World’s Largest User Generated Content Video System»,Cha et.al., ACM Internet Measurement Conference 2007.
  11. 11. What is a Recommender● System that connects (relevant) items to items, items to users, and users to users● Way to navigate large data collections● Content relevance filter● Important characteristics include: – Transparency – Familiarity vs. novelty – Completeness
  12. 12. Orders of Information Management 1st order 2nd order 3rd orderStructuring Classification Tagging and other metadata
  13. 13. Recommendation Strategies1. Expert2. Social3. Content-based
  14. 14. Expert Recommendations ● «Im telling you that you will like this, because I know a lot about music» ● Pros – Transparency of the recommendations – Can differentiate between “good and bad” music, according to the expert ● Cons – Not personalized – Limited coverage – No scalingSource: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
  15. 15. Non-expert Recommendations http://www.viruscomix.com/page398.html
  16. 16. Social recommenders● «You will like this, because its popular with people like you»● Pros – Works for and between everything● Cons – Lack of transparency – Already popular items stay popular (the rich get richer effect) – Cold start, new items enter at the bottom
  17. 17. Artists Similar to U2 Source: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
  18. 18. Small-world Networks
  19. 19. The Long Tail Reach of Amazon
  20. 20. Social TaggingPros Cons● Order emerges from chaos ● Polysemy, synonyms, spelling (folksonomies) ● Idiosyncracity● Layers of metadata ● Sparsity
  21. 21. Content-based Recommendations● «You will like this, because it sounds like something you already like»● Objective musical similarity – Timbre, instrumentation, rhythm, tempo, intensity● Pros – No popularity bias – No cold-start – No manual effort required● Cons – Not so transparent – Cant tell «good» from «bad»
  22. 22. Comperio Music Search Demo
  23. 23. The Effect of CB RecommendationsSource: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
  24. 24. User Ratings – Yes and No● Very effective, but highly suggestive – We trust other people – We tend to like what others like● Can counteract Long Tail effects● This is viral marketing!
  25. 25. Viral Marketing1. Social links and sharing2. Widgets
  26. 26. Conclusion● A Better Online Music Store is built on search and recommendation● More money for Rights Holders, Publishers and Retailers● Visibility and promotion for Artists● More music and fun for Consumers
  27. 27. Thank you!● Check out «Widgets, Viral Marketing and Findability» by Andrew Dubber – 14:15 in this auditorium Vegard Sandvold +47 48 23 92 32 vsandvold@gmail.com

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