Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning.
Amit SharmaHua LiXue LiJian JiaoPublished in: CoRR (2024)
Keyphrases
- language model
- reinforcement learning
- language modeling
- n gram
- document retrieval
- probabilistic model
- retrieval model
- query expansion
- information retrieval
- recommender systems
- statistical language models
- speech recognition
- language modelling
- context sensitive
- query processing
- learning algorithm
- pseudo relevance feedback
- query terms
- document ranking
- ad hoc information retrieval
- smoothing methods
- language model for information retrieval
- vector space model
- novelty detection
- language models for information retrieval
- retrieval effectiveness
- relevance model
- transfer learning
- machine learning
- translation model
- test collection
- document length
- error rate
- co occurrence