2009:Music Recommendation Personalized Radio
Contents
Personalized Radio Subtask
Description
This task is to take a user profile, and without additional information, generate a playlist for this user.
Personalized Playlist Generation With Social Data
Source Data
- Audio content
- User profiles
- User playcounts of audio content
- Song tag lists
- artist tag lists
Query Data
User id
Ground Truth
Original playcount data on user id's
Execution
Perform cross-validation on user playcounts, providing all audio and associated data as additional data
Evaluation
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
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
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.
