Improve the Quality of Recommender Systems based on Collaborative Filtering with Missing Data Imputation.
Erna HikmawatiHeru NugrohoKridanto SurendroPublished in: ICSCA (2024)
Keyphrases
- recommender systems
- collaborative filtering
- missing data imputation
- recommendation quality
- matrix factorization
- user preferences
- cold start problem
- data sparsity
- personalized recommendation
- collaborative filtering algorithms
- neural network
- missing values
- data quality
- data sets
- user ratings
- product recommendation
- user profiles