Pairwise Loss Regularization for Recommendations Explanation.
Alexandre ChansonNicolas LabrochePatrick MarcelWilleme VerdeauxPublished in: DOLAP (2023)
Keyphrases
- pairwise
- loss function
- hinge loss
- convex loss functions
- potential functions
- recommender systems
- multi class
- markov random field
- risk minimization
- higher order
- belief propagation
- pairwise interactions
- similarity function
- semi supervised
- pairwise constraints
- metric learning
- similarity measure
- square loss
- regularization parameter
- high order
- generating explanations
- general loss functions
- projection operator
- making recommendations
- data sets
- regularization method
- regularization framework
- parameter selection
- explanation based learning
- regularization term
- spectral clustering
- prior information
- active learning
- clustering algorithm