Design a Recommendation System in Real Estate Investment Based on Context Approach

Tinh Nguyen, Tinh Nguyen, Sang Vu, Sang Vu, Truc Nguyen, Truc Nguyen, Vuong Pham, Vuong Pham, Vuong Pham, Hien Nguyen, Hien Nguyen

2023

Abstract

The real estate investment industry has experienced a significant increase in user participation over the years, with individuals keen on registering concurrent interests in both recent and prior projects. This growing trend necessitates the development of an approach that can recommend real estate items in a simultaneous manner. However, the presence of unrequired memberships and stop-by behaviors has introduced several challenges, resulting in numerous cold-start scenarios for new users. This study proposes a recommendation system tailored specifically for real estate, designed to offer warm-start item recommendations of cold-start users using a content-based approach and a session-based recommendation system. Herein, a system for real estate recommendation with acceptable warm-start item recommendations is proposed in the many-cold-start-users scenario. The session-based recommendation system is adapted and made use of pre-existing methods to effectively handle sequential and contextual data for the encoded attribute prediction of the next-interacted item. Then, the nearest-neighbors method is employed weighted cosine similarity to identify conforming candidates. The results demonstrate the effectiveness of efficiently integrating the information and the difficulty in performing well in item recommendations simultaneously.

Paper Citation

in Harvard Style

Nguyen T., Vu S., Nguyen T., Pham V. and Nguyen H. (2023). Design a Recommendation System in Real Estate Investment Based on Context Approach. In Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD; ISBN 978-989-758-671-2, SciTePress, pages 255-263. DOI: 10.5220/0012210800003598

in Bibtex Style

@conference{keod23,
author={Tinh Nguyen and Sang Vu and Truc Nguyen and Vuong Pham and Hien Nguyen},
title={Design a Recommendation System in Real Estate Investment Based on Context Approach},
booktitle={Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD},
year={2023},
pages={255-263},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012210800003598},
isbn={978-989-758-671-2},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - Volume 2: KEOD
TI - Design a Recommendation System in Real Estate Investment Based on Context Approach
SN - 978-989-758-671-2
AU - Nguyen T.
AU - Vu S.
AU - Nguyen T.
AU - Pham V.
AU - Nguyen H.
PY - 2023
SP - 255
EP - 263
DO - 10.5220/0012210800003598
PB - SciTePress