DBScholar

Back to papers

Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture

Summary: Twitter’s real-time related query suggestion and spelling correction, delivering results within minutes after breaking news. From Hadoop batch analytics to a custom in-memory engine, enabling low-latency results and shaping data-platform design. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4761
Venue
SIGMOD
Year
2013
Pagerank
6.1014813e-05
Overall Rank
5,748 | 60.57%
DOI
10.1145/2463676.2465290

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{mishne_sigmod13,
        title = {{Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture}},
        author = {Mishne, Gilad and Dalton, Jeff and Li, Zhenghua and Sharma, Aneesh and Lin, Jimmy},
        series = {{SIGMOD} '13},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2463676.2465290},
        url = {https://dl.acm.org/doi/10.1145/2463676.2465290},
        year = {2013}
}

Incoming Citations (Sorted by Pagerank)

Showing 6 of 6 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 12 of 12 cited papers.

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

Previous Page 1 / 1 Next

Semantically Similar Papers