Critically Examining the Claimed Value of Convolutions over User-Item Embedding Maps for Recommender Systems.
Maurizio Ferrari DacremaFederico ParroniPaolo CremonesiDietmar JannachPublished in: CoRR (2020)
Keyphrases
- recommender systems
- collaborative filtering
- fourier transform
- cold start problem
- matrix factorization
- user preferences
- information overload
- user modeling
- cold start
- vector space
- personal preferences
- product recommendation
- user profiling
- nonlinear dimensionality reduction
- feature extraction
- trust aware
- compound critiques
- data embedding
- data hiding
- user interests
- user model
- web search