Action prediction models for recommender systems based on collaborative filtering and sequence mining hybridization.
Tural GurbanovFrancesco RicciPublished in: SAC (2017)
Keyphrases
- recommender systems
- collaborative filtering
- sequence mining
- matrix factorization
- user preferences
- probabilistic matrix factorization
- user profiles
- prediction accuracy
- data sparsity
- latent factor models
- random walk
- data mining
- recommendation systems
- sequential pattern mining
- cold start problem
- data model
- recommendation quality