Large-Scale Metric Computation in Online Controlled Experiment Platform
Summary: Use bitsliced index (BSI) arithmetic to compute aggregates, variances and covariances for large-scale A/B experiments in WeChat, yielding scalable, inference-ready metric computation. Exploit Pareto-skewed activity and fixed query paradigms to optimize BSI encodings and operators; validated in production with strong performance. (summarized by gpt-5-mini on Feb 09 2026)
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 66 | Spark SQL: Relational Data Processing in Spark | 2015 | SIGMOD | 0.00061639801 |
| 121 | Improved Query Performance with Variant Indexes | 1997 | SIGMOD | 0.00045447517 |
| 3,856 | Bit-Sliced Index Arithmetic | 2001 | SIGMOD | 6.6942616e-05 |
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