How Can Recommender Systems Benefit from Large Language Models: A Survey.
Jianghao LinXinyi DaiYunjia XiWeiwen LiuBo ChenXiangyang LiChenxu ZhuHuifeng GuoYong YuRuiming TangWeinan ZhangPublished in: CoRR (2023)
Keyphrases
- language model
- recommender systems
- language modeling
- collaborative filtering
- document retrieval
- n gram
- information retrieval
- retrieval model
- query expansion
- probabilistic model
- test collection
- speech recognition
- user preferences
- statistical language models
- language modelling
- smoothing methods
- context sensitive
- ad hoc information retrieval
- matrix factorization
- relevance model
- language models for information retrieval
- language model for information retrieval
- pseudo relevance feedback
- query terms
- translation model
- passage retrieval
- document length
- word error rate
- okapi bm
- language modeling framework
- vector space model
- spoken term detection
- user profiles