Can Large Language Models Assess Serendipity in Recommender Systems?
Yu TokutakeKazushi OkamotoPublished in: CoRR (2024)
Keyphrases
- language model
- recommender systems
- language modeling
- collaborative filtering
- n gram
- document retrieval
- probabilistic model
- speech recognition
- information retrieval
- statistical language models
- test collection
- retrieval model
- matrix factorization
- query expansion
- language modelling
- recommendation systems
- ad hoc information retrieval
- user profiles
- user preferences
- query terms
- language model for information retrieval
- passage retrieval
- relevance model
- pseudo relevance feedback
- smoothing methods
- context sensitive
- recommendation algorithms
- personalized recommendation
- text mining
- active learning
- bayesian networks