Probabilistic Topic Modeling, Reinforcement Learning, and Crowdsourcing for Personalized Recommendations.
Evangelos TripolitakisGeorgios ChalkiadakisPublished in: EUMAS/AT (2016)
Keyphrases
- topic modeling
- personalized recommendation
- collaborative filtering
- reinforcement learning
- topic models
- latent dirichlet allocation
- probabilistic model
- generative model
- text mining
- user feedback
- recommender systems
- bayesian networks
- probabilistic topic models
- text classification
- user interests
- transfer learning
- web users
- recommendation systems
- user preferences
- latent topics
- text documents
- machine learning
- recommendation algorithms
- information retrieval