Pet analytics: Predicting adoption speed of pets from their online profiles

作者：

Highlights：

• Data mining algorithms are explored to predict the adoption speed of pets.

• Several textual and non-textual-based models are proposed and evaluated.

• Several attributes are identified in association with a pet’s length of stay in a shelter.

• Regression and gradient boosting models benefit most from textual features.

摘要

•Data mining algorithms are explored to predict the adoption speed of pets.•Several textual and non-textual-based models are proposed and evaluated.•Several attributes are identified in association with a pet’s length of stay in a shelter.•Regression and gradient boosting models benefit most from textual features.

论文关键词：Pet analytics,Pet adoption,Adoption speed,Length of stay,Predictive modeling,Topic modeling,Animal rescue

论文评审过程：Received 23 June 2021, Revised 22 April 2022, Accepted 13 May 2022, Available online 18 May 2022, Version of Record 20 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117596