Item-Based Collaborative Filtering and Association Rules for a Baseline Recommender in E-Commerce.
Jessica LourencoAparna S. VardePublished in: IEEE BigData (2020)
Keyphrases
- item based collaborative filtering
- association rules
- collaborative filtering
- recommender systems
- recommendation algorithms
- cold start problem
- association rule mining
- personalized services
- electronic commerce
- data mining
- knowledge discovery
- frequent itemsets
- matrix factorization
- user preferences
- data mining techniques
- itemsets
- cold start
- recommendation systems
- personalized recommendation
- user ratings
- user model
- information overload
- end users