PathRank: Ranking nodes on a heterogeneous graph for flexible hybrid recommender systems.
Sangkeun LeeSungchan ParkMinsuk KahngSang-goo LeePublished in: Expert Syst. Appl. (2013)
Keyphrases
- recommender systems
- directed graph
- graph structure
- betweenness centrality
- undirected graph
- weighted graph
- implicit feedback
- collaborative filtering
- adjacency matrix
- preference learning
- average degree
- graph structures
- random walk
- user feedback
- link analysis
- nodes of a graph
- ranking algorithm
- markov random walk
- complex networks
- dominating set
- small world
- graph theory
- connected graphs
- edge weights
- shortest path
- web search
- citation graph
- matrix factorization
- mutual reinforcement
- graph matching
- root node
- graph representation
- hybrid recommendation
- user profiles
- structured data
- strongly connected
- pagerank algorithm
- learning to rank
- personalized search
- random graphs
- path length
- spanning tree
- connected components
- personalized recommendation
- massive graphs
- bipartite graph
- graph mining
- planar graphs
- ranking functions
- attributed graphs
- finding the shortest path
- graphical models