Browsing by Author "John, Caleb Thomas"

Now showing 1 - 1 of 1
  • Thumbnail Image
    ItemOpen Access
    Design and Implementation of a Recommender System for use at an Emergency Homeless Shelter in Calgary
    (2021-05-04) John, Caleb Thomas; Messier, Geoffrey; Yanushkevich, Svetlana; MacDonald, Matthew Ethan
    Modern homeless shelters are collecting data from key interactions with clients. This data can be utilized by machine learning algorithms to identify clients that are at risk for chronic homelessness. This would provide shelter operators with a powerful new tool to assist them in housing individuals. However, most machine learning algorithms are not suitable for the task due to the lack of interpretability. Classification rule learning is brought forward in this work as an exceedingly interpretable class of machine learning algorithms. A novel recommender system based on classification rule learning is proposed and evaluated on local homeless shelter data. The results from this work suggest that classification rule learning is robust and interpretable enough to be used to support modern homeless shelters.