Optimizing Novelty of Top-k Recommendations using Large Language Models and Reinforcement Learning.
Amit SharmaHua LiXue LiJian JiaoPublished in: KDD (2024)
Keyphrases
- language model
- reinforcement learning
- language modeling
- probabilistic model
- n gram
- document retrieval
- speech recognition
- language modelling
- recommender systems
- query processing
- information retrieval
- retrieval model
- query expansion
- test collection
- query terms
- novelty detection
- context sensitive
- ad hoc information retrieval
- language model for information retrieval
- scoring function
- smoothing methods
- query specific
- okapi bm
- statistical language models
- document length
- learning algorithm
- translation model
- vector space model
- machine learning
- transfer learning
- information retrieval systems
- word error rate
- result set
- user preferences