An information retrieval benchmarking model of satisficing and impatient users’ behavior in online search environments

作者：

Highlights：

• We study the effect of user impatience and search rankings on click-through rates (CTR).

• We design a stochastic information retrieval algorithm to mimic real-life CTR behavior.

• Two versions of the algorithm are defined to incorporate the degree of user impatience.

• The CTRs of the top three ranked alternatives remain stable as users grow impatient.

• CTR differences widen as growingly impatient users proceed halfway through the ranking.

摘要

•We study the effect of user impatience and search rankings on click-through rates (CTR).•We design a stochastic information retrieval algorithm to mimic real-life CTR behavior.•Two versions of the algorithm are defined to incorporate the degree of user impatience.•The CTRs of the top three ranked alternatives remain stable as users grow impatient.•CTR differences widen as growingly impatient users proceed halfway through the ranking.

论文关键词：Information retrieval,Satisficing,Benchmarking,Impatience,Click-through rate,Online search

论文评审过程：Received 6 April 2021, Revised 28 November 2021, Accepted 28 November 2021, Available online 9 December 2021, Version of Record 16 December 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.116352