On Similarity Measures for a Graph-Based Recommender System.
Zühal KurtAlper BilgeKemal ÖzkanÖmer Nezih GerekPublished in: ICIST (2019)
Keyphrases
- recommender systems
- similarity measure
- collaborative filtering
- user based collaborative filtering
- graph model
- euclidean distance
- mutual information
- distance measure
- user preferences
- matrix factorization
- graph theoretic
- movie recommendation
- semantic similarity
- similarity metrics
- feature vectors
- similarity assessment
- information filtering
- information overload
- product recommendation
- similarity measurement
- implicit feedback
- similarity computation
- user modeling
- neural network
- personalized recommendation
- clustering method
- semi supervised
- user ratings
- data sparsity
- cold start
- dissimilarity measure
- pairwise
- trust aware