Social Recommendation with Self-Supervised Metagraph Informax Network

In recent years, researchers attempt to utilize online social information to alleviate data sparsity for collaborative filtering, based on the rationale that social networks offers the insights to understand the behavioral patterns. However, due to the overlook of inter-dependent knowledge across it...

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Veröffentlicht in:	arXiv.org 2021-10
Hauptverfasser:	Long, Xiaoling, Huang, Chao, Xu, Yong, Xu, Huance, Dai, Peng, Xia, Lianghao, Liefeng Bo
Format:	Artikel
Sprache:	eng
Schlagworte:	Collaboration Computer Science - Artificial Intelligence Computer Science - Information Retrieval Filtration Graph neural networks Heterogeneity Recommender systems Representations Social networks Source code Topology
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