Improving collaborative filtering's rating prediction quality in dense datasets, by pruning old ratings.
Dionisis MargarisCostas VassilakisPublished in: ISCC (2017)
Keyphrases
- collaborative filtering
- recommender systems
- dense datasets
- user ratings
- netflix prize
- collaborative filtering algorithms
- matrix factorization
- user preferences
- data sparsity
- collaborative filtering recommendation algorithm
- recommendation systems
- rating prediction
- personalized recommendation
- active user
- user item rating
- collaborative filtering recommender systems
- pearson correlation coefficient
- making recommendations
- user similarity
- user profiles
- rating matrix
- recommendation algorithms
- demographic information
- cold start
- frequent itemset mining
- sequential pattern mining