Difference between revisions of "2009:Music Recommendation Personalized Radio"
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===Personalized Playlist Generation With Social Data=== | ===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 | User id | ||
| − | + | ====Ground Truth==== | |
Original playcount data on user id's | Original playcount data on user id's | ||
| − | + | ====Execution==== | |
Perform cross-validation on user playcounts, providing all audio and associated data as additional data | 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) | For those algorithms outputing a numeric output (strength of a recommendation) | ||
| − | + | * Mean Error Recommendation | |
| − | ** | + | * RecommendationError |
| + | * F-Measure | ||
For those algorithms outputing ordered sets | For those algorithms outputing ordered sets | ||
| − | + | * ROC Area | |
| − | + | * Kendall Tau | |
For those algorithms outputing unordered sets | For those algorithms outputing unordered sets | ||
| − | + | * Pearson Correlation | |
===Playlist Generation With Time Dependant Social Data=== | ===Playlist Generation With Time Dependant Social Data=== | ||
Latest revision as of 02:21, 5 November 2008
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.
