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Microblog Entity Linking with Social Temporal Context

Summary: Real-time microblog entity linking via social-temporal context. Combines entity popularity, recency, and user-interest signals with efficient indexes and incremental algorithms to support high-throughput, low-latency linking. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
5148
Venue
SIGMOD
Year
2015
Pagerank
6.1557283e-05
Overall Rank
5,590 | 61.65%
DOI
10.1145/2723372.2751522

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{hua_sigmod15,
        title = {{Microblog Entity Linking with Social Temporal Context}},
        author = {Hua, Wen and Zheng, Kai and Zhou, Xiaofang},
        series = {{SIGMOD} '15},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2723372.2751522},
        url = {https://dl.acm.org/doi/10.1145/2723372.2751522},
        year = {2015}
}

Incoming Citations (Sorted by Pagerank)

Showing 3 of 3 citing papers.

Rank Citing Paper Year Venue Pagerank
4,905 Medical Entity Disambiguation Using Graph Neural Networks 2021 SIGMOD 6.4497268e-05
9,397 Joint Open Knowledge Base Canonicalization and Linking 2021 SIGMOD 5.2755515e-05
11,705 TQEL: Framework for Query-Driven Linking of Top-K Entities in Social Media Blogs 2021 VLDB 5.093636e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 11 of 11 cited papers.

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

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