Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning

@article{Gao2020DetectingUC,
  title={Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning},
  author={Zheng Gao and Hongsong Li and Zhuoren Jiang and Xiaozhong Liu},
  journal={Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval},
  year={2020}
}
  • Zheng Gao, Hongsong Li, +1 author Xiaozhong Liu
  • Published 25 July 2020
  • Computer Science
  • Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval
Cyberspace hosts abundant interactions between users and different kinds of objects, and their relations are often encapsulated as bipartite graphs. Detecting user community in such heterogeneous graphs is an essential task to uncover user information needs and to further enhance recommendation performance. While several main cyber domains carrying high-quality graphs, unfortunately, most others can be quite sparse. However, as users may appear in multiple domains (graphs), their high-quality… 
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