Large Language Models are Zero-Shot Rankers for Recommender Systems.
Yupeng HouJunjie ZhangZihan LinHongyu LuRuobing XieJulian J. McAuleyWayne Xin ZhaoPublished in: ECIR (2) (2024)
Keyphrases
- language model
- recommender systems
- language modeling
- collaborative filtering
- learning to rank
- information retrieval
- probabilistic model
- speech recognition
- document retrieval
- n gram
- test collection
- query expansion
- smoothing methods
- matrix factorization
- vector space model
- user preferences
- ad hoc information retrieval
- language modelling
- retrieval model
- statistical language models
- translation model
- statistical measures
- user profiles
- user feedback
- context sensitive
- query terms
- language models for information retrieval
- language model for information retrieval
- personalized recommendation
- user ratings
- document ranking
- retrieval effectiveness
- ranking functions
- question answering
- spoken term detection