Utilizing Frequent Pattern Mining for Solving Cold-Start Problem in Recommender Systems.
Eyad KannoutMichal GrodzkiMarek GrzegorowskiPublished in: FedCSIS (2022)
Keyphrases
- cold start problem
- frequent pattern mining
- recommender systems
- frequent patterns
- pattern mining
- collaborative filtering
- cold start
- huge number
- matrix factorization
- item based collaborative filtering
- data sparsity
- mining frequent patterns
- pattern growth
- itemsets
- user preferences
- sequential patterns
- personalized recommendation
- implicit feedback
- data mining
- frequent pattern mining algorithms
- sequential pattern mining
- recommendation systems
- user feedback
- data sets
- interesting patterns
- user interests
- frequent itemsets
- user interaction
- machine learning