Home // DATA ANALYTICS 2024, The Thirteenth International Conference on Data Analytics // View article
Authors:
Sean Lynch
Stephen Anokye
Oisín Fitzpatrick
Fenna Kadir
Charlotte Martin
Nishant Kapur
Brendan Tierney
Damian Gordon
Andrea Curley
Keywords: Data Science; Recommendation System; Collaborative Filtering; User Evaluation.
Abstract:
Renting Made Easy is a project to create an easy-to-use, aesthetically pleasing rental listing application. The application provides a range of functionalities, including a comprehensive search experience, applying and managing rent applications, and property browsing. Initially based on the Zillow data set, the application has been expanded to include data sets with location-based services and crime-related data. A core feature is to provide a user-driven feature search based on property Tags. Property filtering algorithms were evaluated to determine which one provides suitable properties to the end-users. These algorithms included k-Nearest Neighbors (kNN) and Collaborative filtering. Qualitative research was performed to assess the usefulness and accuracy of the filtering algorithms.
Pages: 13 to 16
Copyright: Copyright (c) IARIA, 2024
Publication date: September 29, 2024
Published in: conference
ISSN: 2308-4464
ISBN: 978-1-68558-187-9
Location: Venice, Italy
Dates: from September 29, 2024 to October 3, 2024