Proceedings of the 29th ACM International Conference on Information &Amp; Knowledge Management 2020
DOI: 10.1145/3340531.3412115
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Cited by 14 publications
(1 citation statement)
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“…As a specific extension in social context, there are a series of works that propose to not only remove observed social relations with low quality but also add a few potential relations [24,56,57,59]. This idea has also been adopted in dynamic recommendation scenarios like session recommendation by starting with observed social relations and updating relations during training process [38,49]. In addition, the effectiveness of social recommendation can also be improved by using contextual features [26] or multi-view learning [25].…”
Section: Related Work 51 Graph Denoising For Social Recommendationmentioning
confidence: 99%
“…As a specific extension in social context, there are a series of works that propose to not only remove observed social relations with low quality but also add a few potential relations [24,56,57,59]. This idea has also been adopted in dynamic recommendation scenarios like session recommendation by starting with observed social relations and updating relations during training process [38,49]. In addition, the effectiveness of social recommendation can also be improved by using contextual features [26] or multi-view learning [25].…”
Section: Related Work 51 Graph Denoising For Social Recommendationmentioning
confidence: 99%