Interest Driven Graph Structure Learning for Session-Based Recommendation.
Huachi ZhouShuang ZhouKeyu DuanXiao HuangQiaoyu TanZailiang YuPublished in: PAKDD (3) (2023)
Keyphrases
- structure learning
- bayesian networks
- graphical models
- conditional independence
- parameter learning
- markov logic networks
- transfer learning
- graph structure
- directed acyclic graph
- parameter estimation
- bayesian network structure learning
- network structure
- recommender systems
- directed graph
- graph theoretic
- markov networks
- collaborative filtering
- graph theory
- structural learning
- random variables
- belief propagation
- unsupervised learning
- random walk
- similarity measure
- data mining
- k nearest neighbor
- natural language processing
- probability distribution
- active learning
- training data
- feature selection
- information retrieval