Scaling Session-Based Transformer Recommendations using Optimized Negative Sampling and Loss Functions.
Timo WilmPhilipp NormannSophie BaumeisterPaul-Vincent KobowPublished in: RecSys (2023)
Keyphrases
- loss function
- pairwise
- support vector
- squared error
- loss minimization
- logistic regression
- risk minimization
- learning to rank
- random sampling
- recommender systems
- sample size
- reproducing kernel hilbert space
- convex loss functions
- update rules
- hinge loss
- boosting algorithms
- bregman divergences
- markov chain monte carlo
- fault diagnosis