Quality versus efficiency in document scoring with learning-to-rank models

作者：

Highlights：

• Characterization the quality versus cost trade-off of Learning-to-Rank models.

• QuickRank: a public-domain Learning-to-Rank learning and evaluation framework.

• a new measure, named AuQC, for the evaluation of LtR algorithms.

摘要

•Characterization the quality versus cost trade-off of Learning-to-Rank models.•QuickRank: a public-domain Learning-to-Rank learning and evaluation framework.•a new measure, named AuQC, for the evaluation of LtR algorithms.

论文关键词：Efficiency,Learning-to-rank,Document scoring

论文评审过程：Received 30 June 2015, Revised 16 March 2016, Accepted 8 May 2016, Available online 17 May 2016, Version of Record 28 September 2016.

论文官网地址：https://doi.org/10.1016/j.ipm.2016.05.004