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Inhomogeneous Social Recommendation with Hypergraph Convolutional Networks
[article]
2021
arXiv
pre-print
Incorporating social relations into the recommendation system, i.e. social recommendation, has been widely studied in academic and industrial communities. While many promising results have been achieved, existing methods mostly assume that the social relations can be homogeneously applied to all the items, which is not practical for users' actually diverse preferences. In this paper, we argue that the effect of the social relations should be inhomogeneous, that is, two socially-related users
arXiv:2111.03344v1
fatcat:jmqde6idvbc5now3doiz6poch4