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Users' Preference Prediction of Real Estates Featuring Floor Plan Analysis using FloorNet

Authors:

Toshihiko Yamasaki,

Kiyoharu Aizawa,

Takemi OhamaAuthors Info & Claims

RETech'18: Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech

Pages 7 - 11

https://doi.org/10.1145/3210499.3210525

Published: 06 June 2018 Publication History

Abstract

In recent years, with the progress of e-commerce, recommendation for not only mass-produced daily items, such as books, but also special items that are not mass-produced has become an important task. In this study, we present an algorithm for real estate recommendation. There are no identical properties in the world, properties already occupied by someone else cannot be recommended, and users rent or buy properties only a few times in their lives. Therefore, automatic property recommendation is one of the most difficult tasks. In this study, we predict users' preference for properties, which is the first step of property recommendation, by combining content-based filtering and multilayer perceptron (MLP). In the MLP, we used not only attribute data of users and properties but also the deep features extracted from floor plan images of properties. As a result, we succeeded in predicting users' preference with an accuracy of 60.7%.

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Cited By

Garcia Ayala JMannino MAbouzied AFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)"I'll pay half the cost, for the loft" -- From Searching to Agreeing on Group Property RentalsCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681908(572-578)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681908
Maharaj KKumar KSharma N(2023)Predicting Residential Property Valuation in Major Towns and Cities on Mainland FijiBig Data Intelligence and Computing10.1007/978-981-99-2233-8_4(53-68)Online publication date: 1-May-2023
https://doi.org/10.1007/978-981-99-2233-8_4
KATO NYAMASAKI TAIZAWA KOHAMA T(2020)Users' Preference Prediction of Real Estate Properties Based on Floor Plan AnalysisIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7146E103.D:2(398-405)Online publication date: 1-Feb-2020
https://doi.org/10.1587/transinf.2019EDP7146
Show More Cited By

Index Terms

Users' Preference Prediction of Real Estates Featuring Floor Plan Analysis using FloorNet
1. Computing methodologies
  1. Machine learning
    1. Machine learning approaches
      1. Neural networks
2. Information systems
  1. Information retrieval
    1. Retrieval tasks and goals
      1. Recommender systems

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Information & Contributors

Information

Published In

cover image ACM Conferences

RETech'18: Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech

June 2018

32 pages

ISBN:9781450357975

DOI:10.1145/3210499

General Chairs:
Yoji Kiyota
LIFULL Co., Ltd., Japan
,
Toshihiko Yamasaki
The University of Tokyo, Japan
,
Program Chairs:
Chihiro Shimizu
Nihon University, Japan
,
Hirohiko Suwa
Nara Institute of Science and Technology, Japan
,
Yutaka Arakawa
Nara Institute of Science and Technology, Japan
,
Ryoma Kitagaki
The University of Tokyo, Japan
,
Shimpei Nomura
Recruit Sumai Company Ltd., Japan

Copyright © 2018 Owner/Author.

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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SIGMM: ACM Special Interest Group on Multimedia

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 June 2018

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JST-CREST
JSPS

Conference

ICMR '18

Sponsor:

SIGMM

ICMR '18: International Conference on Multimedia Retrieval

June 11, 2018

Yokohama, Japan

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Cited By

Garcia Ayala JMannino MAbouzied AFarzan RLópez CCardoso Llach DQuercia DMustafa MNiu SWong-Villacrés M(2024)"I'll pay half the cost, for the loft" -- From Searching to Agreeing on Group Property RentalsCompanion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing10.1145/3678884.3681908(572-578)Online publication date: 11-Nov-2024
https://dl.acm.org/doi/10.1145/3678884.3681908
Maharaj KKumar KSharma N(2023)Predicting Residential Property Valuation in Major Towns and Cities on Mainland FijiBig Data Intelligence and Computing10.1007/978-981-99-2233-8_4(53-68)Online publication date: 1-May-2023
https://doi.org/10.1007/978-981-99-2233-8_4
KATO NYAMASAKI TAIZAWA KOHAMA T(2020)Users' Preference Prediction of Real Estate Properties Based on Floor Plan AnalysisIEICE Transactions on Information and Systems10.1587/transinf.2019EDP7146E103.D:2(398-405)Online publication date: 1-Feb-2020
https://doi.org/10.1587/transinf.2019EDP7146
Wang XTakada YKado YYamasaki T(2019)Predicting the Attractiveness of Real-Estate Images by Pairwise Comparison using Deep Learning2019 IEEE International Conference on Multimedia & Expo Workshops (ICMEW)10.1109/ICMEW.2019.0-106(84-89)Online publication date: Jul-2019
https://doi.org/10.1109/ICMEW.2019.0-106

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