$\mu-\text{cf}2\text{vec}$: Representation Learning for Personalized Algorithm Selection in Recommender Systems.
Tomas Sousa PereiraTiago CunhaCarlos SoaresPublished in: ICDM (Workshops) (2020)
Keyphrases
- learning algorithm
- recommender systems
- string matching
- k means
- collaborative filtering
- learning phase
- dynamic programming
- text mining
- keywords
- preprocessing
- objective function
- learning process
- probabilistic model
- reinforcement learning
- user modeling
- detection algorithm
- recommendation algorithms
- selection algorithm
- user profiles
- latent factor models
- segmentation algorithm
- context aware
- online learning
- neural network
- worst case
- active learning