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The Dark Art Is Music Recommendation Science a Science? Michael Papish 2010.09.26 WOMRAD | Barcelona
Agenda ,[object Object],[object Object],[object Object],Page
Our perspective on MIR Page  A little like outsiders peering in… hippie drum circle
Your perspective on us Page  … or, less charitably Requires change in USA Constitution before can be elected President
Thesis ,[object Object],Page  Might be a Dark Art since the practitioner can manipulate the subject?
Touchpoints with early MIR Page  Pattie Maes Eric Scheirer Rashmi Sinha ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],Page  Our approach to recommendations These foundations plus 10 years of practical experience building recommenders has led us to an approach that…
My immature attempt at a Philosophy of Recommendation Science
[object Object],Page  What is Science? * Karl Popper:  “In so far as a scientific statement speaks about reality, it must be falsifiable; and in so far as it is not falsifiable, it does not speak about reality.”  * In one PPT slide Thomas Kuhn:  “Under normal conditions the research scientist is not an innovator but a solver of puzzles, and the puzzles upon which he concentrates are just those which he believes can be both stated and solved within the existing scientific tradition.”  ,[object Object],[object Object]
Page  What is the puzzle of recommendations? Puzzle: Understand the listener’s preferences and help her find and discover music she likes  Foundational Problem:  How do we measure success? Without an objective metric how do we conduct scientific research?
Page  This is not a new observation ISMIR 2001 Resolution:  There is a current need for metrics to evaluate the performance and accuracy of the various approaches and algorithms being developed within the Music Information Retrieval research community.  Herlocker et al. Evaluating collaborative filtering recommender systems. [2004]:  Each algorithmic approach has adherents who claim it to be superior for some purpose. Clearly identifying the best algorithm for a given purpose has proven challenging, in part because researchers disagree on which attributes should be measured, and on which metrics should be used for each attribute. Researchers who survey the literature will find over a dozen quantitative metrics and additional qualitative evaluation techniques.
Page  Example Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Page  Example Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object]
Page  Example Metrics ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Page  The (abbreviated) History of MIR The dawn of time (1960) The start of infinite music (2001) Dotcoms are cool again (2006) The Future (according to Gartner/Jupiter always happening in present +3 years) “ Hmm, it’s hard to file LPs in the card catalog” Learned how to stop making bad recs The Age of Good Recs Crisis? – The Dark Arts Age The Wall of Really Good Recs (no David Gilmour) The golden age of Mark Zuckerberg house parties (2005)
Worries that Recommendation Science is no longer a Science
Page  State of the Art ,[object Object],[object Object],[object Object],[object Object],[object Object]
Page  Worries ,[object Object],[object Object],[object Object],[object Object],[object Object]
Page  Conclusions ,[object Object],[object Object],[object Object]
A Way Forward
Page  A Way Forward ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],We have 2 options…
The biggest problem in music science today Page  Can we get this guy to stop ruining every show we go to?
Page  Or, Option #2 Or, seeing as this presentation is the very first session at the very first workshop on the very first day of RecSys2010, we could…
Page  Or, Option #2 …  adjourn to here for the rest of the week
Discussion / Tomato Throwing Time
Tik tok.

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The Dark Art: Is Music Recommendation Science a Science

  • 1. The Dark Art Is Music Recommendation Science a Science? Michael Papish 2010.09.26 WOMRAD | Barcelona
  • 2.
  • 3. Our perspective on MIR Page A little like outsiders peering in… hippie drum circle
  • 4. Your perspective on us Page … or, less charitably Requires change in USA Constitution before can be elected President
  • 5.
  • 6.
  • 7.
  • 8. My immature attempt at a Philosophy of Recommendation Science
  • 9.
  • 10. Page What is the puzzle of recommendations? Puzzle: Understand the listener’s preferences and help her find and discover music she likes Foundational Problem: How do we measure success? Without an objective metric how do we conduct scientific research?
  • 11. Page This is not a new observation ISMIR 2001 Resolution: There is a current need for metrics to evaluate the performance and accuracy of the various approaches and algorithms being developed within the Music Information Retrieval research community. Herlocker et al. Evaluating collaborative filtering recommender systems. [2004]: Each algorithmic approach has adherents who claim it to be superior for some purpose. Clearly identifying the best algorithm for a given purpose has proven challenging, in part because researchers disagree on which attributes should be measured, and on which metrics should be used for each attribute. Researchers who survey the literature will find over a dozen quantitative metrics and additional qualitative evaluation techniques.
  • 12.
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  • 15. Page The (abbreviated) History of MIR The dawn of time (1960) The start of infinite music (2001) Dotcoms are cool again (2006) The Future (according to Gartner/Jupiter always happening in present +3 years) “ Hmm, it’s hard to file LPs in the card catalog” Learned how to stop making bad recs The Age of Good Recs Crisis? – The Dark Arts Age The Wall of Really Good Recs (no David Gilmour) The golden age of Mark Zuckerberg house parties (2005)
  • 16. Worries that Recommendation Science is no longer a Science
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  • 22. The biggest problem in music science today Page Can we get this guy to stop ruining every show we go to?
  • 23. Page Or, Option #2 Or, seeing as this presentation is the very first session at the very first workshop on the very first day of RecSys2010, we could…
  • 24. Page Or, Option #2 … adjourn to here for the rest of the week
  • 25. Discussion / Tomato Throwing Time

Hinweis der Redaktion

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