Chimera: Large-Scale Classification using Machine Learning, Rules, and Crowdsourcing
Summary: Chimera blends learning, rules, and crowdsourcing to classify millions of products into 5000+ types at Walmart. At scale, crowdsourcing must complement learning and rules, with analysts authoring thousands of rules—lessons for scalable data management. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Chong Sun
- 2. Narasimhan Rampalli
- 3. Frank Yang
- 4. AnHai Doan
Incoming Citations (Sorted by Pagerank)
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Outgoing Citations (Sorted by Pagerank)
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 643 | Corleone: Hands-Off Crowdsourcing for Entity Matching | 2014 | SIGMOD | 0.00018754451 |
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| 7,117 | Crowdsourced Data Management: Overview and Challenges | 2017 | SIGMOD | 4.826509e-05 |
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| 4,817 | Clustering by Pattern Similarity in Large Data Sets | 2002 | SIGMOD | 5.8987807e-05 |
| 3,601 | Large-Scale Machine Learning at Twitter | 2012 | SIGMOD | 6.9315087e-05 |
| 6,868 | Cost-Effective Data Annotation using Game-Based Crowdsourcing | 2019 | VLDB | 4.9010083e-05 |
| 4,906 | Machine Learning for Big Data | 2013 | SIGMOD | 5.8389053e-05 |
| 8,343 | CrowdGame: A Game-Based Crowdsourcing System for Cost-Effective Data Labeling | 2019 | SIGMOD | 4.5429217e-05 |
| 3,118 | Scaling Up Crowd-Sourcing to Very Large Datasets: A Case for Active Learning | 2015 | VLDB | 7.5379338e-05 |
| 6,111 | Why Big Data Industrial Systems Need Rules and What We Can Do About It | 2015 | SIGMOD | 5.2049579e-05 |