Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.
Scott SannerKrisztian BalogFilip RadlinskiBen WedinLucas DixonPublished in: CoRR (2023)
Keyphrases
- language model
- cold start
- recommender systems
- collaborative filtering
- user preferences
- cold start problem
- language modeling
- data sparsity
- n gram
- probabilistic model
- document retrieval
- matrix factorization
- implicit feedback
- information retrieval
- user behavior
- tag recommendation
- user ratings
- retrieval model
- personalized recommendation
- smoothing methods
- test collection
- query expansion
- recommendation systems
- query terms
- natural language
- recommendation algorithms
- user profiles
- vector space model
- retrieval systems
- linguistic knowledge
- text mining
- knn