Using Association Rules to Solve the Cold-Start Problem in Recommender Systems.
Gavin ShawYue XuShlomo GevaPublished in: PAKDD (1) (2010)
Keyphrases
- cold start problem
- recommender systems
- association rules
- collaborative recommendation
- cold start
- collaborative filtering
- matrix factorization
- item based collaborative filtering
- data sparsity
- data mining
- knowledge discovery
- user preferences
- personalized recommendation
- language modeling
- information overload
- user model
- user profiles
- recommendation algorithms
- implicit feedback
- recommendation systems
- text mining
- learning algorithm