Preserving recommender accuracy and diversity in sparse datasets.
Derry O'SullivanBarry SmythDavid C. WilsonPublished in: Int. J. Artif. Intell. Tools (2004)
Keyphrases
- high dimensional
- machine learning
- precision and recall
- high accuracy
- database
- sparse data
- benchmark datasets
- computational cost
- uci machine learning repository
- computational efficiency
- prediction accuracy
- dimensionality reduction
- recommender systems
- computational complexity
- support vector
- training data
- case study
- data sets