Inductive conformal recommender system

作者：

Highlights：

• We introduce the concept of inductive conformal recommendation.

• We propose and analyze different nonconformity measures in the inductive setting.

• We provide theoretical proofs on the error-bound and the time complexity.

• Extensive comparative studies validate the efficiency of our algorithm.

摘要

•We introduce the concept of inductive conformal recommendation.•We propose and analyze different nonconformity measures in the inductive setting.•We provide theoretical proofs on the error-bound and the time complexity.•Extensive comparative studies validate the efficiency of our algorithm.

论文关键词：Recommender system,Inductive conformal prediction,Conformal recommender system

论文评审过程：Received 27 April 2021, Revised 18 April 2022, Accepted 19 May 2022, Available online 28 May 2022, Version of Record 4 June 2022.

论文官网地址：https://doi.org/10.1016/j.knosys.2022.109108