On the Generalizability and Predictability of Recommender Systems.
Duncan C. McElfreshSujay KhandagaleJonathan ValverdeJohn DickersonColin WhitePublished in: NeurIPS (2022)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- information filtering
- information overload
- user preferences
- cold start
- cold start problem
- user profiles
- user model
- user interests
- user modelling
- data sparsity
- user profiling
- recommendation quality
- movie recommendation
- user modeling
- trust aware
- item based collaborative filtering
- product recommendation
- recommendation algorithms
- learning algorithm
- web search
- case study