Neo

Overview of attention for article published in Proceedings of the VLDB Endowment, July 2019

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In the top 5% of all research outputs scored by Altmetric
One of the highest-scoring outputs from this source (#10 of 1,595)
High Attention Score compared to outputs of the same age (93rd percentile)
High Attention Score compared to outputs of the same age and source (93rd percentile)

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twitter: 25 X users
patent: 15 patents

reddit: 1 Redditor

Readers on

mendeley: 217 Mendeley

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The Neo paper talks about learned cardinality estimation. It replaces static histograms with machine-learned models that predict query result sizes more accurately. (https://t.co/1TPQpkUNED)

@alacqua_joseph @wangchiewtan Yes. Among others, there are efforts that try to construct so-called Learned Query Optimizers. One recent example: https://t.co/dlkaFnhl1G

Interesting talks by @RyanMarcus at #VLDB “Neo: A Learned Query Optimizer” (PDF, 64 slides) https://t.co/HBWFKyneKf Paper: https://t.co/orWqVlThke (PDF, 18 pages) https://t.co/ffU6gA2WWS

[1] https://t.co/fKMZUlj3az [2] https://t.co/aE7sbVCJvg [3] https://t.co/liBPXoR9oA

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