Empirical Comparison of Graph Embeddings for Trust-Based Collaborative Filtering.
Tomislav DuricicHussain HussainEmanuel LacicDominik KowaldDenis HelicElisabeth LexPublished in: ISMIS (2020)
Keyphrases
- collaborative filtering
- recommender systems
- recommendation systems
- matrix factorization
- random walk
- graph structure
- graph representation
- graph theoretic
- directed acyclic graph
- graph model
- cold start
- connected components
- machine learning
- low dimensional
- graph theory
- personalized recommendation
- deal with information overload
- link analysis
- user interests
- vector space
- structured data
- user preferences
- feature selection
- search engine