Collaborative filtering embeddings for memory-based recommender systems.
Daniel ValcarceAlfonso LandinJavier ParaparÁlvaro BarreiroPublished in: Eng. Appl. Artif. Intell. (2019)
Keyphrases
- recommender systems
- collaborative filtering
- matrix factorization
- user preferences
- information filtering
- information overload
- user profiles
- cold start
- cold start problem
- vector space
- data sparsity
- recommendation quality
- collaborative filtering algorithms
- manifold learning
- trust aware
- content based filtering
- memory based learning
- user profiling
- latent factor models
- probabilistic matrix factorization
- deal with information overload
- recommendation systems
- low dimensional
- personalized recommendation
- active user
- user interests
- implicit feedback
- transfer learning
- high dimensional data
- hilbert space
- product recommendation
- recommendation algorithms
- user modeling
- euclidean space
- movie recommendation
- making recommendations
- item based collaborative filtering