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Enhancing Social Recommendation with Adversarial Graph Convolutional Networks
[article]
2020
arXiv
pre-print
Social recommender systems are expected to improve recommendation quality by incorporating social information when there is little user-item interaction data. However, recent reports from industry show that social recommender systems consistently fail in practice. According to the negative findings, the failure is attributed to: (1) A majority of users only have a very limited number of neighbors in social networks and can hardly benefit from social relations; (2) Social relations are noisy but
arXiv:2004.02340v4
fatcat:2fg4c4c3kbdvnhu4rf32ssrglu