The 21st International Society for Music Information Retrieval Conference (ISMIR 2020) Analysis of Song/Artist Latent Features and Its Application for Song Search Kosetsu Tsukuda and Mastaka Goto National Institute of Advanced Industrial Science and Technology (AIST) 1 Embed song/artist vectors into the same feature space 3 Application examples In music recommendation, artists and songs are represented by latent vectors Familiarity-oriented search Typicality-oriented search Analogy search The vectors are usually used only to compute a user’s preference toward a song Which song represents We embed song/artist vectors in the same feature space to leverage the vectors What are unexpected What Aerosmith song Lady Gaga’s typical songs of The Black Keys? corresponds to That Means for realizing new song search applications characteristics well? A Lot by The Beatles? k-dimensional k-dimensional High popularity latent vectors feature space Query: Lady Gaga Query Factorization Machines B A Rank Song by OS Source artist The Beatles = + + + - Same Old Thing - Gold on the Ceiling 1 2 3 … 1 1 California Curls / Katy Perry Source song That Means A Lot + , + , + , 1 2 - I Got Mine - Lonely Boy � Low High Play logs 2 Racy Lacey / Girls Aloud Target artist Aerosmith : Embed 3 PA PA user, : song, : artist of - Can’t Fine My Mind - Yearnin’ 3 Gimme More / Britney Spears 3 1 , , , : bias terms - Howling For You - Grown So Ugly Rank Song 1 2 3 … 4 Cannibal / Ke$ha , , : latent vectors 1 Milk Cow Blues D C 5 Piece of Me / Britney Spears Low popularity 2 Face 2 Overall similarity (OS) and prominent affinity (PA) 3 Temperature A: for users who are not Given artist , all songs in the familiar with the artist dataset can be ranked in terms Search for the target artist’s songs Overall similarity 1 Prominent affinity B: for users who want to of OS or PA that have a similar relationship 1 2 know the artist’s diversity By showing such songs to a between the source artist and 1 3 1 C: for users who want to user who is a fan of Lady Gaga, the source song 1 3 1 3 C: listen to unexpected songs she may be willing to listen to The similarity is defined by the D: for users who want to unfamiliar songs because they angle between vectors and the When a song is fairly close to an artist, When a song is fairly close to the extended D: become an artist devotee are highly related to Lady Gaga ratio of vector lengths the song is similar overall to the artist position of an artist, the song prominently represents the artist’s characteristics 4 Contributions Overall similarity is defined by the Prominent affinity is defined by the closeness between an artist and a song inner product of an artist and a song Propose the concepts of overall similarity and prominent affinity Artist: The Beatles Artist: The Beatles Relationships between songs and artists in a latent feature space We want other researchers to Rank Song Rank Song 1 I’m So Tired 1 Something Show characteristics of overall similarity and prominent affinity leverage our proposed concepts 2 Get Back 2 All You Need Is Love Latent vectors are generated by using Last.fm play logs for two years and realize useful music 3 The End 3 Come Together information retrieval systems 4 Sun King 4 Hey Jude Demonstrate three applications for music information retrieval Familiarity-oriented search, typicality-oriented search, and analogy search 5 Here Comes the Sun 5 I Am the Walrus.