Eigentaste 5.0: constant-time adaptability in a recommender system using item clustering.
Tavi NathansonEphrat BittonKenneth Y. GoldbergPublished in: RecSys (2007)
Keyphrases
- user ratings
- recommender systems
- clustering algorithm
- collaborative filtering
- orders of magnitude faster
- clustering method
- user preferences
- cold start problem
- cold start
- personalized recommendation
- data clustering
- categorical data
- fuzzy clustering
- k means
- self organizing maps
- user profiles
- hierarchical clustering
- matrix factorization
- spectral clustering
- user model
- unsupervised learning
- information filtering
- data mining tasks
- data points
- prediction accuracy
- web search