Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

TastemakerX // SXSW 2014 Music Panel Proposal

240 views

Published on

Published in: Technology, Education
  • Be the first to comment

TastemakerX // SXSW 2014 Music Panel Proposal

  1. 1. HUMAN VS. MACHINE 2014 SXSW PROPOSAL VISUAL MARC RUXIN - TASTEMAKERX FORMAT - PANEL
  2. 2. HUMAN VS. MACHINE: THE MUSIC CURATION FORMULA  RECREATING HUMAN RECOMMENDATIONS IN THE DIGITAL SPHERE AT SCALE IS A PROBLEM WE’RE ACTIVELY SOLVING ACROSS VERTICALS BUT NO ONE QUITE HAS THE PERFECT FORMULA. THE VERTICAL WHERE THIS ISSUE IS ESPECIALLY UBIQUITOUS IS MUSIC.  WHERE WE CURRENTLY STAND IS SOLVING THE INTEGRATION OF HUMAN DATA WITH MACHINE DATA AND ALGORITHMS TO GENERATE PERSONALIZED RECOMMENDATIONS THAT MIRRORS THE NUANCES OF HUMAN CURATION. THIS FORMULA IS THE HOLY GRAIL.
  3. 3. “ ALGORITHMS CAN TELL YOU WHAT ARE THE MOST POPULAR TRACKS IN ANY GENRE, BUT AN ALGORITHM MIGHT NOT KNOW THAT "YOU DON'T MISS YOUR WATER" WAS SORT OF THE FIRST CLASSIC, SOUTHERN SOUL BALLAD IN THAT PARTICULAR TIME SIGNATURE AND THAT IT BECAME THE TEMPLATE FOR A DECADE'S WORTH OF PEOPLE DOING THE SAME THING," SAYS QUIRK. "THAT’S SORT OF ARCANE HUMAN KNOWLEDGE.“ – TIM QUIRK, GOOGLE PLAY
  4. 4. ACROSS VERTICALS…  MEDIUM: DELIVERS HIGH QUALITY CURATED AND COMMISSIONED WRITING.  CIRCA: USES PAID EDITORS TO PICK OUT NEWS, SUMMARIZE IT, AND DELIVER IT THROUGH A MOBILE APP.  FANHATTAN: TV AND FILM DISCOVERY FUELED BY FRIENDS AND EXISTING FAVORITES.  GOODREADS: DISCOVER NEW TITLES AND GET RECOMMENDATIONS THROUGH OTHER READERS.  GOOGLE PLAY ALL MUSIC ACCESS: RECOMMENDS MUSIC BY USING A HYRID OF MACHINE LEARNING AND HUMAN INTUITION TO EVOLVE ITS UNDERSTANDING OF A USERS MUSICAL TASTE.
  5. 5. MUSIC  TASTEMAKERX: A HUMAN POWERED SOCIAL MUSIC DISCOVERY PLATFORM  TWITTER MUSIC: SCANS THE ACTIVITY OF THE TWITTER ECOSYSTEM AT LARGE TO HELP USERS FIND THE MUSIC PEOPLE ARE TALKING ABOUT.  PANDORA: INTERNET RADIO EMPLOYING A RECOMMENDATION ENGINE FUELED BY A HUMAN SOURCED DATA BASE, GENOME PROJECT.  PROJECT DAISY: CURRENTLY IN PROGESS, PROJECT DAISY AIMS TO DEEPLY INTEGRATE “CULTURAL CONTEXT” AND “EMOTIONAL CONNECTION” INTO MUSIC CURATION.
  6. 6. PANEL DISCUSSION POINTS  Q 1: WHAT MECHANISMS + METHODS ARE YOU CURRENTLY USING TO OPTIMIZE CURATION? – HUMAN, MACHINE, OR WIZARDRY [BOTH] ? – CROSS LEARNING: WHAT HAVE WE LEARNED FROM EACH OTHER? – HUMANS + BIG DATA: FINDING DATA WIZARDS AND IMPLEMENTING ALGORITHMS  Q 2: HOW DO YOU SOLVE PREDICTIBILITY WITH MACHINES? – MACHINE LISTENING : COMPUTERS THAT LISTEN AND ARE ABLE TO PICK OUT QUALITIES + DETAILS – MACHINES TRYING TO KEEP UP WITH THE SPEED OF NEW MUSIC  Q 3: HOW DO YOU SOLVE SCALE AND DIVERSITY WITH HUMAN CURATION? – MANAGING HUMAN GENERATED DATA – THE HUMAN ABILITY TO DETECT VARIOUS NUANCES – THE HUMAN CAPABILITY OF FACTORING MUSICAL AND CUTURAL HISTORY  Q 4: RECOMMENDING BY GENRE IS EASY. HOW DO YOU CURATE AND RECOMMEND ON THE TRACK LEVEL?  Q 5: THE FUTURE: WHAT ARE SOME THINGS WE CAN ANTICIPATE IN THE NEAR FUTURE AND WHAT ARE YOUR PREDICTIONS?
  7. 7. THANK YOU!

×