Edge Rewrite
// HTMLRewriter · presentation

This page was redesigned at the edge.

Cloudflare fetched the original article and streamed it through HTMLRewriter to apply an entirely new visual system without rebuilding the source page.

// request.cf · coarse context

A page that knows where it met you.

Only coarse request metadata is shown. This demo does not display or persist visitor IP addresses.

Country
US
Cloudflare location
CMH
Connection
HTTP/2
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Not provided

Ray ID: a3ff03f5aed26019

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// Workers AI · dad joke modeWhat did the query-level feature say? "I've got a lot of 'search'ing questions

From Wikipedia, the free encyclopedia

A query-level feature (QLF) is a ranking feature utilized in a machine-learned ranking algorithm.

Example QLFs:

  • How many times has this query been run in the last month?
  • How many words are in the query?[1]:450
  • What is the sum/average/min/max/median of the BM25F values for the query?

References

[edit]
  1. Jiang, Jyun-Yu; Ke, Yen-Yu; Chien, Pao-Yu; Cheng, Pu-Jen (July 3, 2014). "Learning user reformulation behavior for query auto-completion". Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval. SIGIR '14. New York, NY, USA: Association for Computing Machinery: 445–454. doi:10.1145/2600428.2609614. ISBN 978-1-4503-2257-7.{{cite journal}}: CS1 maint: periodical has ISBN (link)