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

SIGIR '20: The 43rd International ACM SIGIR conference on research and development in Information Retrieval Virtual Event China July, 2020, pp. 139-148, 2020.

Cited by: 0|Bibtex|Views65|DOI:https://doi.org/10.1145/3397271.3401055
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Other Links: dl.acm.org|dblp.uni-trier.de|arxiv.org|academic.microsoft.com

Abstract:

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 domain...More

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