Ordinal Graph Gamma Belief Network for Social Recommender Systems. (arXiv:2209.05106v1 [cs.IR])

To build recommender systems that not only consider user-item interactions
represented as ordinal variables, but also exploit the social network
describing the relationships between the users, we develop a hierarchical
Bayesian model termed ordinal graph factor analysis (OGFA), which jointly
models user-item and user-user interactions. OGFA not only achieves good
recommendation performance, but also extracts interpretable latent factors
corresponding to representative user preferences. We further extend OGFA to
ordinal graph gamma belief network, which is a multi-stochastic-layer deep
probabilistic model …

arxiv belief graph network ordinal recommender systems social systems