Exploiting Recommended Usage Metadata: Exploratory Analyses Xiao Hu, J. Stephen Downie, Andreas...

Exploiting Recommended Usage Metadata: Exploratory Analyses

Xiao Hu, J. Stephen Downie, Andreas Ehmann

THE ANDREW W. MELLON FOUNDATION

The International Music Information Retrieval Systems Evaluation Lab

(IMIRSEL)University of Illinois at Urbana-

Champaign

Motivation

Human Use of Music Information Retrieval Systems (HUMIRS) project

to identify: Standardized MIR evaluation tasksQuery documents

from real world users’ behaviors

User generated usage metadata

Usage Metadata

Music Customer reviews on www.epinions.com

Each review is associated with one recommended usage

Usage Categories

Driving Waking up

Hanging With Friends Going to Sleep

Listening Cleaning the House

Romancing At Work

Reading or Studying With Family

Getting ready to go out

Sleeping

Exercising

Prepared by epinions.com editors

Album Metadata

Each review is for an album

album title

Research Questions

Q1: What are the relationships between usages and music genres?

Q2: What are the relationships between usages and music artists?

Q3: How are the usages related to each other?

Data Facts

Number of Usage Categories 11Reviews in Each Usage Categories

180

Total Number of Reviews 1,980Number of Genres 12

Number of Artists 897

Number of Album titles 1,372

Genre and Usage (1)

Genres:

Blues Heavy Metal

Classical International

Country Jazz Instrument

Electronic Pop Vocal

Gospel R&B

Hardcore/Punk

Rock & Pop

Genre and Usage (2) Dependency analysis:

Pearson’s chi-square dependency test on each pair of genre and usage (p < 0.001)

Genre Usage Pearson’s χ2

Classical Listening 37.613

Country Cleaning the House

70.782

Electronic Going to Sleep 29.127

Hard Core / Punk

Waking Up 12.536

Jazz Instrument

Romancing 123.452

Pop Vocal Romancing 49.877

Artist and Usage (1)

Dependency analysis Binomial exact test on usages and artists with 10 reviews

Artist Usage p value

AFI Waking Up 0.03252

Black Sabbath

At Work 0.00028

Celine Dion Romancing 0.02499

Dream Theater

Listening 0.01862

Metallica Waking Up 0.03252

Nirvana_(USA)

Going to Sleep

0.01862

Artist and Usage (2)

Usage ProfilesUsage distributions of 10 most-reviewed artists

Clustering on co-occurrences

Some usages appear to be related e.g. “Exercising” and “Cleaning the

House”

Q3: Can the usages form meaningful superclasses base on their co-occurrences with genre, artist and album titles?

Clusters from genre-usage co-occurrences

RomancingGetting ready to go

outExercisingWaking up

Hanging out with friends

At workDriving

ListeningGoing to sleep

Reading or studyingCleaning the house

Relaxing

Stimulating

Clusters from artist-usage co-occurrences

Going to sleepListening

Reading or studyingRomancing

At workExercisingWaking up

Getting ready to go out

DrivingCleaning the house

Hanging out with friends

Relaxing

Stimulating

Clusters from album-usage co-occurrences

Going to sleepReading or studying

ListeningExercisingWaking up

At workCleaning the house

DrivingHanging out with

friendsGetting ready to go

outRomancing

Relaxing

Stimulating

To summarize …

Stimulating:Exercising, Waking up, At work, Driving,Hanging out with friends, Getting ready to go out

Relaxing: Going to sleep, Reading or studying

Discrepant: Relaxing

Stimulating

separate

Listening 2 1 0

Romancing 1 1 1

Cleaning the house

0 2 1

Data Limitations

Only from one websiteUsage choices are predefinedSome usages are ambiguousInterpretations vary across usersOnly one usage per review

can’t see how individual users group usages

Conclusions

Usage: another facet of music similarityComplementary to artist and genre similarity

Consistent superclasses of usagesMeaningful user-generated metadataNew task / query for MIREX

Further investigation is warrantedLarger scale dataset from multiple websitesConnect to audio features

Questions?

IMIRSEL

Thank you!

THE ANDREW W. MELLON FOUNDATION

Usage Categories and Counts

Usage Count

Usage Count

Driving 1,349 Waking up 271

Hanging With Friends 1,215 Going to Sleep 269

Listening 592 Cleaning the House

230

Romancing 492 At Work 188

Reading or Studying 447 With Family 35

Getting ready to go out

378 Sleeping 15

Exercising 291 TOTAL 5,772

Agenda

MotivationUsage metadata in www.epinions.comResearch QuestionsAnalysis

Genre and usageArtist and usageClustering on co-occurrences

Conclusions

Clustering on co-occurrences

Some usages appear to be related e.g. “Exercising” and “Cleaning the House”

Q3: Can the usages form meaningful superclasses base on their co-occurrences with genre, artist and album titles?

Facets with multiple usages

number reviews

Genres 12 1,980Artists 368 1,451

Album titles 366 974