Factual and Personalized Recommendations using Language Models and Reinforcement Learning.
Jihwan JeongYinlam ChowGuy TennenholtzChih-Wei HsuAzamat TulepbergenovMohammad GhavamzadehCraig BoutilierPublished in: CoRR (2023)
Keyphrases
- language model
- personalized recommendation
- language modeling
- collaborative filtering
- user interests
- n gram
- recommender systems
- document retrieval
- collaborative filtering recommendation
- web users
- speech recognition
- probabilistic model
- language modelling
- information retrieval
- user feedback
- retrieval model
- test collection
- context sensitive
- query expansion
- machine learning
- recommendation systems
- document ranking
- user preferences
- query terms
- statistical language models
- social bookmarking
- learning algorithm
- information overload
- website
- smoothing methods
- recommendation algorithms
- pseudo relevance feedback
- feature selection
- prediction accuracy
- association rules
- bayesian networks
- co occurrence