Embedding Ranking-Oriented Recommender System Graphs.
Taher HekmatfarSaman HaratizadehSama GoliaeiPublished in: CoRR (2020)
Keyphrases
- recommender systems
- graph embedding
- implicit feedback
- collaborative filtering
- preference learning
- ranking algorithm
- web search
- personalized search
- user feedback
- learning to rank
- information filtering
- graph matching
- spectral embedding
- vector space
- graph theoretic
- graph theory
- matrix factorization
- graph partitioning
- spanning tree
- graph model
- graph mining
- link analysis
- ranking functions
- data hiding
- user interests
- trust propagation
- information overload
- high dimensional
- web graph
- personalized recommendation
- structured data
- user preferences
- cold start problem
- user profiles
- link graph
- bipartite graph