Leveraging Large Language Models in Conversational Recommender Systems.
Luke FriedmanSameer AhujaDavid AllenTerry TanHakim SidahmedChangbo LongJun XieGabriel SchubinerAjay PatelHarsh LaraBrian ChuZexi ChenManoj TiwariPublished in: CoRR (2023)
Keyphrases
- language model
- recommender systems
- language modeling
- collaborative filtering
- n gram
- document retrieval
- probabilistic model
- speech recognition
- matrix factorization
- information retrieval
- language modelling
- multi modal
- user preferences
- test collection
- retrieval model
- query expansion
- context sensitive
- vector space model
- language models for information retrieval
- ad hoc information retrieval
- smoothing methods
- recommendation algorithms
- personalized recommendation
- statistical language models
- feature selection
- pseudo relevance feedback
- document ranking
- user feedback
- machine learning
- natural language
- user profiles