Eigenvalue Perturbation for Item-based Recommender Systems.
Cesare BernardisPaolo CremonesiPublished in: RecSys (2021)
Keyphrases
- recommender systems
- collaborative filtering
- cold start problem
- user preferences
- item based collaborative filtering
- covariance matrix
- matrix factorization
- user profiles
- information filtering
- information overload
- least squares
- trust aware
- user feedback
- recommendation quality
- perturbation method
- user modeling
- recommendation systems
- eigenvalue problems
- data perturbation
- information systems
- collaborative recommendation
- cold start
- user profiling
- personalized recommendation
- recommendation algorithms
- face recognition
- data sparsity
- implicit feedback
- user interests
- genetic algorithm
- collaborative filtering recommender systems