RecRanker: Instruction Tuning Large Language Model as Ranker for Top-k Recommendation.
Sichun LuoBowei HeHaohan ZhaoYinya HuangAojun ZhouZongpeng LiYuanzhang XiaoMingjie ZhanLinqi SongPublished in: CoRR (2023)
Keyphrases
- language model
- language modeling
- user feedback
- document retrieval
- n gram
- collaborative filtering
- learning to rank
- information retrieval
- speech recognition
- language modelling
- recommender systems
- probabilistic model
- retrieval model
- query expansion
- query processing
- mixture model
- test collection
- statistical language models
- recommendation systems
- context sensitive
- user preferences
- ad hoc information retrieval
- word error rate
- vector space model
- language model for information retrieval
- scoring function
- pseudo relevance feedback
- result set
- personalized recommendation
- translation model
- smoothing methods
- relevance feedback
- document length
- text classification
- ranking functions
- dirichlet prior
- query terms
- language models for information retrieval
- maximum likelihood