Improving Recommender Systems with Large Language Models.
Sebastian LubosPublished in: UMAP (Adjunct Publication) (2024)
Keyphrases
- language model
- recommender systems
- language modeling
- n gram
- probabilistic model
- document retrieval
- retrieval model
- collaborative filtering
- information retrieval
- speech recognition
- query expansion
- language modelling
- context sensitive
- test collection
- statistical language models
- document ranking
- smoothing methods
- language models for information retrieval
- query terms
- user profiles
- matrix factorization
- vector space model
- relevance model
- text retrieval
- average precision
- pseudo relevance feedback
- recommendation algorithms
- translation model
- prediction accuracy
- user preferences
- document length
- bayesian networks
- okapi bm
- machine learning