Pairwise preference regression for cold-start recommendation.
Seung-Taek ParkWei ChuPublished in: RecSys (2009)
Keyphrases
- pairwise
- pairwise comparison
- regression model
- loss function
- pairwise comparisons
- support vector regression
- simple linear
- linear regression
- regression problems
- multi class
- higher order
- markov random field
- reproducing kernel hilbert space
- belief propagation
- high order
- gaussian processes
- regression algorithm
- regression methods
- ridge regression
- similarity measure
- polynomial regression
- model selection
- semi supervised
- regression method
- preference learning
- locally weighted
- soft constraints
- multi attribute
- multi criteria
- regression analysis
- neural network
- user preferences
- support vector
- machine learning
- statistical significance
- decision making
- image segmentation
- objective function
- genetic programming
- preference elicitation
- personality traits
- cross validation
- graph matching
- metric learning
- preference relations