Darwin & Goliath: a white-label recommender-system as-a-service with automated algorithm-selection.
Jöran BeelAlan GriffinConor O'SheaPublished in: RecSys (2019)
Keyphrases
- detection algorithm
- cost function
- learning algorithm
- np hard
- dynamic programming
- experimental evaluation
- computationally efficient
- high accuracy
- worst case
- objective function
- improved algorithm
- selection algorithm
- matching algorithm
- linear programming
- k means
- optimal solution
- recommender systems
- search space
- preprocessing
- quality of service
- tree structure
- computational complexity
- computational cost
- probabilistic model
- evolutionary algorithm
- particle swarm optimization
- optimization algorithm
- search algorithm