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. Designing a Better Online Music Store by:Larm 2008
- 2. Vegard Sandvold ● Enterprise Search Consultant – Comperio AS (FAST Search & Transfer) ● Music Technologist & Entreprenour – Musikkteknologen.no – LiveRevolution.net
- 3. Outline 1. Why we need better online music stores 2. Power of The Long Tail 3. Role of recommender systems in e-commerce 4. Expert, social and content-based recommendations 5. Demo 6. Additional thoughts and conclusion
- 5. 1.0 Clerk Shelves http://flickr.com/photos/lynt/162883105/
- 6. Clerk 1.5 Shelves
- 8. 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» – «I'm in the mood for some soft rock ballads»
- 9. 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»
- 10. The Shape of The Long Tail The Hits Popularity The Long Tail Items
- 11. Said in Another Way... 100 90 80 70 Sales ($) 60 50 40 30 20 10 0 0 10 20 30 40 50 60 70 80 90 100 100 Products Sales ($) 10 1 1 10 100 Products
- 12. 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.
- 13. 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
- 14. Orders of Information Management 1st order 2nd order 3rd order Structuring Classification Tagging and other metadata
- 15. Recommendation Strategies 1. Expert 2. Social 3. Content-based
- 16. Expert Recommendations ● «I'm 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 scaling Source: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
- 17. Non-expert Recommendations http://www.viruscomix.com/page398.html
- 18. Social recommenders ● «You will like this, because it's 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
- 19. Artists Similar to U2 Source: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
- 22. The Long Tail Reach of Amazon
- 23. Social Tagging Pros Cons ● Order emerges from chaos ● Polysemy, synonyms, spelling (folksonomies) ● Idiosyncracity ● Layers of metadata ● Sparsity
- 24. 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 – Can't tell «good» from «bad»
- 25. Comperio Music Search Demo
- 26. The Effect of CB Recommendations Source: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
- 27. 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!
- 28. Viral Marketing 1. Social links and sharing 2. Widgets
- 29. 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
- 30. 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