Per-Instance Algorithm Selection for Recommender Systems via Instance Clustering.
Andrew CollinsLaura TierneyJoeran BeelPublished in: CoRR (2020)
Keyphrases
- k means
- selection algorithm
- learning algorithm
- clustering method
- significant improvement
- preprocessing
- experimental evaluation
- computational cost
- high accuracy
- np hard
- cost function
- simulated annealing
- similarity function
- convergence rate
- segmentation algorithm
- dynamic programming
- recommender systems
- computational complexity
- recognition algorithm
- fuzzy clustering
- synthetic datasets
- cluster centers
- hierarchical clustering
- cluster analysis
- detection algorithm
- graph cuts
- input data
- search space
- optimal solution
- objective function