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Query-level feature

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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)
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