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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
5967
Venue
SIGMOD
Year
2020
Pagerank
5.093636e-05
Overall Rank
11,786 | 19.14%
DOI
10.1145/3318464.3386145

Incoming Non-self Citations Over Time

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Authors

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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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
908 Probase: A Probabilistic Taxonomy for Text Understanding 2012 SIGMOD 0.00013300624
2,487 Introduction to Recommender Systems 2008 SIGMOD 8.5137983e-05
3,211 Biperpedia: An Ontology for Search Applications 2014 VLDB 7.6330836e-05
5,689 Towards the Web of Concepts: Extracting Concepts from Large Datasets 2010 VLDB 6.1205787e-05
8,067 Mining Quality Phrases from Massive Text Corpora 2015 SIGMOD 5.4941436e-05
8,530 Modern Recommender Systems: from Computing Matrices to Thinking with Neurons 2018 SIGMOD 5.4119882e-05
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