IUAutoTimeSVD++: A Hybrid Temporal Recommender System Integrating Item and User Features Using a Contractive Autoencoder.
Abdelghani AzriAdil HaddiHakim AllaliPublished in: Inf. (2024)
Keyphrases
- recommender systems
- user preferences
- collaborative filtering
- cold start problem
- feature extraction
- user interface
- low level
- cold start
- user model
- user profiles
- hybrid recommendation
- active user
- user modeling
- spatial and temporal
- feature vectors
- information overload
- website
- spatio temporal
- end users
- recommendation algorithms
- recommendation systems
- temporal data
- spatial information
- classification accuracy
- temporal patterns
- personalized recommendation
- user interests
- matrix factorization
- feature set
- recommendation quality
- temporal information