Pre-train, Prompt, and Recommendation: A Comprehensive Survey of Language Modeling Paradigm Adaptations in Recommender Systems.
Peng LiuLemei ZhangJon Atle GullaPublished in: Trans. Assoc. Comput. Linguistics (2023)
Keyphrases
- language modeling
- recommender systems
- language model
- collaborative filtering
- information retrieval
- retrieval model
- data sparseness
- query expansion
- cold start
- probabilistic model
- n gram
- cold start problem
- user preferences
- trust aware
- cross lingual
- recommendation algorithms
- personalized recommendation
- statistical language models
- recommendation quality
- text classification
- user profiles
- product recommendation
- recommendation systems
- latent factor models
- relevance model
- mixture model
- improvements in retrieval effectiveness
- sentence retrieval
- statistical language modeling
- data sparsity
- data mining
- user feedback
- retrieval effectiveness
- document retrieval
- learning algorithm
- text mining