Choosing the Right Weights: Balancing Value, Strategy, and Noise in Recommender Systems.
Smitha MilliEmma PiersonNikhil GargPublished in: CoRR (2023)
Keyphrases
- recommender systems
- collaborative filtering
- signal to noise ratio
- matrix factorization
- cold start problem
- noisy data
- image noise
- noise reduction
- noise level
- selection strategy
- weighted sum
- weighted averaging
- random noise
- user modeling
- median filter
- information overload
- user preferences
- user profiles
- noise model
- user model
- noisy environments
- missing data
- item based collaborative filtering