Using Hierarchical Graph Maps to Explain Collaborative Filtering Recommendations.
Fernando OrtegaJesús BobadillaAntonio HernandoFernando RodríguezPublished in: Int. J. Intell. Syst. (2014)
Keyphrases
- collaborative filtering
- recommender systems
- making recommendations
- user preferences
- recommendation quality
- personalized recommendation
- collaborative filtering algorithms
- cold start
- recommendation systems
- content based filtering
- online dating
- cold start problem
- hybrid recommendation
- recommendation algorithms
- user ratings
- matrix factorization
- demographic information
- collaborative filtering recommendation
- bipartite graph
- graph representation
- product recommendation
- directed graph
- random walk
- user similarity
- latent factor models
- information filtering
- graph structure
- graph theoretic
- link analysis
- data sparsity
- weighted graph
- graph theory
- attributed graphs
- item recommendation
- active user
- deal with information overload
- graph model
- structured data
- collaborative recommendation
- graph based algorithm
- graph data
- graph mining
- directed acyclic graph
- graph matching
- connected components
- hierarchical structure
- user profiles
- website