Personalized Radio Subtask[edit]

Description[edit]

This task is to take a user profile, and without additional information, generate a playlist for this user.

Personalized Playlist Generation With Social Data[edit]

Source Data[edit]

• Audio content
• User profiles
• User playcounts of audio content
• Song tag lists
• artist tag lists

Query Data[edit]

User id

Ground Truth[edit]

Original playcount data on user id's

Execution[edit]

Perform cross-validation on user playcounts, providing all audio and associated data as additional data

Evaluation[edit]

For those algorithms outputing a numeric output (strength of a recommendation)

• Mean Error Recommendation
• RecommendationError
• F-Measure

For those algorithms outputing ordered sets

• ROC Area
• Kendall Tau

For those algorithms outputing unordered sets

• Pearson Correlation

Playlist Generation With Time Dependant Social Data[edit]

Same as above, but the ground truth is the difference between consecutive playcounts and the cross-validation is performed on the ground truth

Personalized Playlist Generation of New Music[edit]

Same as untiumed data, but the social data is witheld on a percentage subset, simulating new music. For user playcounts, this means removing these songs from the source data. The evaluation is cross-validation of those user playcounts that contain music with data witheld, recreating the removed entries for new music without providing any of the removed playcounts during training.