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TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A

Social Audio Features for Advanced Music Retrieval Interfaces. TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A. Ramesh Jain: „I have 20,000 photos on my hard drive and no means to manage them .“.

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TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: A A A A A A A

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  1. Social Audio Features for Advanced Music Retrieval Interfaces TexPoint fonts used in EMF. Read the TexPoint manual before you delete this box.: AAAAAAA

  2. Ramesh Jain: „I have 20,000 photos on myharddrive andnomeansto manage them.“

  3. „Today, I would like to listen to something cheerful.“ „Something like Lenny Kravitz would be great.“ „Who can help me to discover my collection?“

  4. Audio Analysis Usage Data

  5. Wewanttohavesomethingthat… • …well reflectsperceivedmusicsimilarity. • …isasconvenienttouseas an audiofeaturespace. Solution: Derive a musicsimilarityspacefromuser-generateddata. Social Audio Features

  6. Item-to-Item Collaborative Filtering „Users wholikesoccerballs also likevuvuzelas“

  7. Meaningfullabels But sparsedata Goodsimilarityinformation but nolabels combineinformation

  8. CombiningUsage Data andSocial Tags

  9. ApplyingProbabilistic Latent Semantic Analysis to Music and Tags rock metal guitar hard american … female pop Latent classprobababilitiescanbe interpretedascoordinates piano Madonna – like a prayer 90‘s happy rock female Beatles – hey jude oldies pop american male rock melancholic Classic rock Greenday – basketcase blues 60‘s american soul rock guitar punk american

  10. Basketcase Like a prayer Hey jude 32 dimensional audiocoordinatesforover 1 millionsongs Eachdirectionis a latent musicconcept Eachpointcharacterizes a style ofmusic

  11. Socially derived music similarity + PLSA embedding = Social Audio Features

  12. rock Hey Jude Praise you Imagine Galvanize electronic I want it that way My Prerogative pop Advantages of a Map • Similar songs are close to each other • Quickly find nearest neighbors • Span (and play) volumes • Create smooth playlists by interpolation • Visualize a collection • Low memory footprint • Well suited for mobile domain

  13. Evaluation Tag consistency Artist clustering convenient basis to build music software Comparisonto collaborativefiltering

  14. Usethemaptorealize a Smart Shuffle Play Mode After only few skips, we know pretty well which songs match the user‘s mood

  15. User Study • Whenusersweresearchingformusictheyspent 40% ofthe time in themusicmap • 19% usedthe tag cloudregularly • Smart shuffle was thepredominantplaymode Werecordedthebehaviorof 128 personsusingmuseek:

  16. Selected Comments frommuseek Users […] Does a goodjoblearningmytastes[…] […] easy browse and make playlists. Auto play related music is very good. […] Just got it and want to put more music on my sd card now. Yoursoftwareis a patheticpieceofcrap! 넥원 잘돌아갑니다 버벅거리지안고 굿 ui도 굿이고요! Awesome app beating the ipod genius feature and coverflow. […] Good potential, but album art is tiny & blurry [...] Love the ability to automatically play similar music. [...] Pretty cool once you get the hang of it.

  17. Thank You!Questions & Comments? Download museekforfree in theAndroidmarket

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