Multi-Step Adversarial Perturbations on Recommender Systems Embeddings.
Vito Walter AnelliAlejandro BellogínYashar DeldjooTommaso Di NoiaFelice Antonio MerraPublished in: CoRR (2020)
Keyphrases
- multi step
- recommender systems
- collaborative filtering
- lower bounding
- single step
- vector space
- user preferences
- knn
- matrix factorization
- machine learning
- k nearest neighbor
- low dimensional
- cold start problem
- multi agent
- dimensionality reduction
- pairwise
- product recommendation
- tumor classification
- binary codes
- weight vector
- feature vectors
- objective function
- decision trees