MSAP: Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.
Vito Walter AnelliAlejandro BellogínYashar DeldjooTommaso Di NoiaFelice Antonio MerraPublished in: FLAIRS Conference (2021)
Keyphrases
- multi step
- recommender systems
- collaborative filtering
- lower bounding
- matrix factorization
- single step
- low dimensional
- vector space
- k nearest neighbor
- dimensionality reduction
- user preferences
- cold start problem
- knn
- high dimensional data
- user model
- tumor classification
- semi supervised
- multi agent
- recommendation algorithms
- user profiles
- recommendation systems
- data sets
- distance measure
- nearest neighbor
- active learning
- reinforcement learning
- product recommendation
- decision trees