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A Personalized Scoring Method for Rental Property Search Considering the Surrounding Environment

Authors:
Ruman Suyama
Da Li
Yukiko Kawai
Shinsuke Nakajima

Keywords: rental property, recommendation system, personalization, surrounding environment analysis

Abstract:
Nowadays, a growing number of people use real estate and housing information websites to search for rental properties. However, It is difficult to specify searching conditions according to specific individual needs, such as community safety and barrier-free environment. In this study, we propose a personalized scoring method that takes into account the surrounding environment and can appropriately evaluate properties to match the target user's age, gender, hobbies, and preferences. We also conducted a preliminary experiment to compare the ranking of the proposed method and the baseline methods based on nDCG@5, we found that the proposed method achieved the best performance.

Pages: 3 to 4

Copyright: Copyright (c) IARIA, 2023

Publication date: March 13, 2023

Published in: conference

ISSN: 2308-4421

ISBN: 978-1-68558-055-1

Location: Barcelona, Spain

Dates: from March 13, 2023 to March 17, 2023