DBScholar

Back to papers

Large-Scale Machine Learning at Twitter

Summary: Case study of integrating ML into Twitter's Hadoop/Pig analytics stack. Pig extensions enable supervised learning with online SGD and ensembles; ML tasks (sampling, feature generation, training, testing) run as Pig loaders/UDFs, making ML a first-class Pig script in production. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4665
Venue
SIGMOD
Year
2012
Pagerank
7.1764857e-05
Overall Rank
3,714 | 74.52%
DOI
10.1145/2213836.2213958

Incoming Non-self Citations Over Time

Authors

BibTeX Citation

@inproceedings{lin_sigmod12,
        title = {{Large-Scale Machine Learning at Twitter}},
        author = {Lin, Jimmy and Kolcz, Alek},
        series = {{SIGMOD} '12},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/2213836.2213958},
        url = {https://dl.acm.org/doi/10.1145/2213836.2213958},
        year = {2012}
}

Incoming Citations (Sorted by Pagerank)

Showing 9 of 9 citing papers.

Previous Page 1 / 1 Next

Outgoing Citations (Sorted by Pagerank)

Showing 7 of 7 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