Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers.
Lütfi Kerem SenelBesnik FetahuDavis YoshidaZhiyu ChenGiuseppe CastellucciNikhita VedulaJason Ingyu ChoiShervin MalmasiPublished in: ACL (1) (2024)
Keyphrases
- recommender systems
- generative model
- discriminative training
- collaborative filtering
- data driven
- optimization process
- global optimization
- optimization algorithm
- conditional likelihood
- matrix factorization
- user preferences
- unsupervised learning
- optimization problems
- hidden markov models
- bayesian networks
- user profiles
- particle swarm optimization
- maximum likelihood
- training process
- training phase
- stochastic gradient descent
- discriminative classifiers
- artificial neural networks