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Evaluation of cultural similarity in playlist generationEvaluation of cultural similarity in playlist generationMariusz KlePolish-Japanese Institute of Information Technology in Warsaw, Polandhttp://mariuszklec.pjwstk.edu.pl

Schedule of my presentationIntroductionPlaylistsCultural similarityPlaylist Generator softwareExperimentResultsQuestions / discussion

Introduction Large music collections

Playlistsdefinition

PlaylistsAutomatic playlist generation

Query-by-examplePlaylistsplaylists created by query-by-example method

?

how often particular artists co-occur on the same web pages

Cultural similarityartist similarityCultural similarity Scoring functions

D. P.W. Ellis, B. Whitman, A. Berenzweig, S. Lawrence. The quest for ground truth in musical artist similarity. Proceedings of the International Conference on Music Information Retrieval. 1707, 2002Geleijnse, G., and J. Korst. Web-based artist categorization. Proceedings of the International Conference on Music Information Retrieval. 26671, 2006Playlist Generator softwareAuthors software

Playlist Generator softwaresimilarity matrix

Playlist Generator softwaremaking playlist using similarity matrix

Higher similarityLower similarityQueen 2 Diana Krall 3 Cranberries 4Aerosmith 5Bon Jovi 6Rod Steward 7 Bach 8The Rolling Stones 9Tina Turner 10 Phil Collins1ExperimentWhats the goal?

Experimentdetails

A playlistA playlistExperimentdetails

ResultsSoftware and peoples playlist similarities

ResultsAverage value of similarities between playlists

ResultssummaryAutomatic playlists generation process that incorporates f2 function

is more effective as regards peoples expectation about artists similarity

Questions

Thank You for Your attention