Operator implementation of Result Set Dependent KWS scoring functions

作者：

Highlights：

• We address the performance issues regarding scoring functions used in KWS.

• The quality of Labrador Scoring Function (LSF) is empirically demonstrated.

• The LSF is efficiently implemented through two RDBMS operators.

• The operators have been implemented on a PostgreSQL code-base.

• The efficiency merits of both operators are demonstrated on real world data-sets.

摘要

•We address the performance issues regarding scoring functions used in KWS.•The quality of Labrador Scoring Function (LSF) is empirically demonstrated.•The LSF is efficiently implemented through two RDBMS operators.•The operators have been implemented on a PostgreSQL code-base.•The efficiency merits of both operators are demonstrated on real world data-sets.

论文关键词：Keyword search,RDBMS,Operators,Result ranking,Indexes

论文评审过程：Received 7 February 2019, Revised 29 August 2019, Accepted 31 October 2019, Available online 18 November 2019, Version of Record 27 November 2019.

论文官网地址：https://doi.org/10.1016/j.is.2019.101465