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GIANT: Scalable Creation of a Web-scale Ontology

Summary: GIANT constructs a scalable, web-scale Attention Ontology from user attention signals, covering entities, concepts, events and topics. GNN-based mining over web docs and click graphs yields a hierarchical, phrase-rich ontology, deployed at Tencent with CTR gains in news recommendations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
ha1128d2f5505d78a
Venue
SIGMOD
Year
2020
Pagerank
4.9793485e-05
Overall Rank
12,088 | 18.73%
DOI
10.1145/3318464.3386145

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BibTeX Citation

@inproceedings{liu_sigmod20,
        title = {{GIANT: Scalable Creation of a Web-scale Ontology}},
        author = {Liu, Bang and Guo, Weidong and Niu, Di and Luo, Jinwen and Wang, Chaoyue and Wen, Zhen and Xu, Yu},
        series = {{SIGMOD} '20},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3318464.3386145},
        url = {https://dl.acm.org/doi/10.1145/3318464.3386145},
        year = {2020}
}

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