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)
Incoming Non-self Citations Over Time
Authors
- 1. Jimmy Lin (Twitter)
- 2. Alek Kolcz (Twitter)
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.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,079 | Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML | 2014 | VLDB | 0.00012258469 |
| 1,639 | Summingbird: A Framework for Integrating Batch and Online MapReduce Computations | 2014 | VLDB | 0.00010155021 |
| 4,169 | The Unified Logging Infrastructure for Data Analytics at Twitter | 2012 | VLDB | 6.8561463e-05 |
| 4,254 | GraphJet: Real-Time Content Recommendations at Twitter | 2016 | VLDB | 6.8024576e-05 |
| 4,595 | The "Big Data" Ecosystem at LinkedIn | 2013 | SIGMOD | 6.6137084e-05 |
| 5,182 | Probabilistic Demand Forecasting at Scale | 2017 | VLDB | 6.3287692e-05 |
| 5,748 | Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture | 2013 | SIGMOD | 6.1014813e-05 |
| 9,083 | Tripartite Graph Clustering for Dynamic Sentiment Analysis on Social Media | 2014 | SIGMOD | 5.3251649e-05 |
| 12,298 | Optimization Strategies for A/B Testing on HADOOP | 2013 | VLDB | 5.093636e-05 |
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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.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD | 0.0010686205 |
| 120 | HadoopDB: An Architectural Hybrid of MapReduce and DBMS Technologies for Analytical Workloads | 2009 | VLDB | 0.00031680027 |
| 155 | MAD Skills: New Analysis Practices for Big Data | 2009 | VLDB | 0.00028713176 |
| 452 | An Architecture for Parallel Topic Models | 2010 | VLDB | 0.00018146809 |
| 642 | Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience | 2009 | VLDB | 0.00015395331 |
| 2,159 | Efficient Processing of Data Warehousing Queries in a Split Execution Environment | 2011 | SIGMOD | 9.061086e-05 |
| 2,942 | Llama: Leveraging Columnar Storage for Scalable Join Processing in the MapReduce Framework | 2011 | SIGMOD | 7.9358593e-05 |
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Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 9,640 | Supporting Scalable Analytics with Latency Constraints | 2015 | VLDB |
| 2 | 2,265 | A Platform for Scalable One-Pass Analytics using MapReduce | 2011 | SIGMOD |
| 3 | 1,079 | Hybrid Parallelization Strategies for Large-Scale Machine Learning in SystemML | 2014 | VLDB |
| 4 | 5,748 | Fast Data in the Era of Big Data: Twitter's Real-Time Related Query Suggestion Architecture | 2013 | SIGMOD |
| 5 | 4,859 | Machine Learning for Big Data | 2013 | SIGMOD |
| 6 | 2,191 | Data Warehousing and Analytics Infrastructure at Facebook | 2010 | SIGMOD |
| 7 | 6 | Pig Latin: A Not-So-Foreign Language for Data Processing | 2008 | SIGMOD |
| 8 | 4,169 | The Unified Logging Infrastructure for Data Analytics at Twitter | 2012 | VLDB |
| 9 | 642 | Building a High-Level Dataflow System on top of Map-Reduce: The Pig Experience | 2009 | VLDB |
| 10 | 4,595 | The "Big Data" Ecosystem at LinkedIn | 2013 | SIGMOD |