Large Language Models are Zero-Shot Rankers for Recommender Systems.
Yupeng HouJunjie ZhangZihan LinHongyu LuRuobing XieJulian McAuleyWayne Xin ZhaoPublished in: CoRR (2023)
Keyphrases
- language model
- recommender systems
- language modeling
- collaborative filtering
- n gram
- learning to rank
- document retrieval
- probabilistic model
- matrix factorization
- information retrieval
- query expansion
- statistical language models
- retrieval model
- language modelling
- user profiles
- speech recognition
- statistical measures
- vector space model
- context sensitive
- user preferences
- smoothing methods
- user feedback
- ad hoc information retrieval
- personalized recommendation
- translation model
- query terms
- query specific
- pseudo relevance feedback
- recommendation algorithms
- question answering
- language models for information retrieval