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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
- ^ 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.
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