User encoding for clustering in very sparse recommender systems tasks.
Pablo Pérez-NúñezJorge DíezOscar LuacesAntonio BahamondePublished in: Multim. Tools Appl. (2022)
Keyphrases
- recommender systems
- collaborative filtering
- user preferences
- user profiles
- clustering algorithm
- information overload
- user modeling
- recommendation quality
- user model
- k means
- content based filtering
- data mining tasks
- matrix factorization
- clustering method
- recommendation algorithms
- recommendation systems
- user feedback
- cold start problem
- user profiling
- information retrieval
- document clustering
- self organizing maps
- user satisfaction
- cold start
- unsupervised learning
- product recommendation
- soft assignment
- hierarchical clustering
- user experience
- cluster analysis
- transfer learning
- data sparsity
- website
- personal preferences
- data mining