designing a better online music store (by:larm 2008)
DESCRIPTION
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.TRANSCRIPT
Designing a Better Online Music Store
by:Larm 2008
Vegard Sandvold
● Enterprise Search Consultant– Comperio AS (FAST
Search & Transfer)
● Music Technologist & Entreprenour– Musikkteknologen.no
– LiveRevolution.net
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
1.0
ShelvesClerk
http://flickr.com/photos/lynt/162883105/
1.5
Shelves
Clerk
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»
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»
The Shape of The Long Tail
The Long Tail
The Hits
Items
Pop
ular
ity
Said in Another Way...
0
10
20
30
40
50
60
70
80
90
100
0 10 20 30 40 50 60 70 80 90 100
Products
Sal
es (
$)
1
10
100
1 10 100
Products
Sal
es (
$)
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.
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
Orders of Information Management
1st order
Structuring
3rd order
Tagging and other
metadata
2nd order
Classification
Recommendation Strategies
1. Expert
2. Social
3. Content-based
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 scalingSource: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
http://www.viruscomix.com/page398.html
Non-expert Recommendations
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
Source: Celma & Lamere, Music Recommendation Tutorial, ISMIR 2007
Artists Similar to U2
Small-world Networks
The Long Tail Reach of Amazon
Social Tagging
Pros● Order emerges from chaos
(folksonomies)● Layers of metadata
Cons● Polysemy, synonyms, spelling● Idiosyncracity● Sparsity
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»
Demo
Comperio Music Search
The Effect of CB Recommendations
Source: 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 what others like
● Can counteract Long Tail effects● This is viral marketing!
Viral Marketing
1. Social links and sharing
2. Widgets
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
Thank you!
● Check out «Widgets, Viral Marketing and Findability» by Andrew Dubber– 14:15 in this auditorium
Vegard Sandvold+47 48 23 92 32