Combining community-based knowledge with association rule mining to alleviate the cold start problem in context-aware recommender systems.
Iosif ViktoratosAthanasios TsadirasNick BassiliadesPublished in: Expert Syst. Appl. (2018)
Keyphrases
- context aware
- association rule mining
- cold start problem
- recommender systems
- user context
- data mining techniques
- association rules
- contextual information
- ubiquitous computing
- context awareness
- knowledge discovery
- collaborative filtering
- cold start
- data sparsity
- matrix factorization
- context aware systems
- data mining
- mobile devices
- information overload
- itemsets
- personalized recommendation
- user preferences
- recommendation systems
- frequent itemsets
- user model
- web mining
- prediction accuracy
- data structure
- reinforcement learning