Link prediction in food heterogeneous graphs for personalised recipe recommendation based on user interactions and dietary restrictions.
Andrea Morales-GarzónKarel Gutiérrez-BatistaMaría J. Martín-BautistaPublished in: Computing (2024)
Keyphrases
- link prediction
- user interaction
- graph mining
- bipartite graph
- heterogeneous networks
- social network analysis
- random walk
- graph kernels
- social networks
- network analysis
- topological features
- user behavior
- multi relational
- user feedback
- network structure
- complex networks
- user studies
- user input
- user interface
- directed graph
- proximity measures
- supervised learning
- graph theory
- interactive segmentation
- entity resolution
- community detection
- context aware
- recommender systems
- collaborative filtering
- bipartite networks
- missing links
- link formation
- social ties
- heterogeneous information networks
- web graph
- user preferences
- pairwise