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  4. The Development of Building Materials Recommendation System Based on Feature Crosses
 
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The Development of Building Materials Recommendation System Based on Feature Crosses

Journal
Advances in Civil Engineering
Journal Volume
2025
Journal Issue
1
Start Page
7886613
ISSN
1687-8086
1687-8094
Date Issued
2025-07-07
Author(s)
HUI-PING TSERNG  
Chang, Chung-Cho
Tai, Shu-Hsien
Editor(s)
Liu, Hexu
DOI
10.1155/adce/7886613
URI
https://www.scopus.com/record/display.uri?eid=2-s2.0-105009925402&origin=resultslist
https://scholars.lib.ntu.edu.tw/handle/123456789/731421
Abstract
Material selection is a challenging and essential research area in architectural design, as it plays a key role across project phases. Architects must consider both quantifiable material properties (such as durability, cost, and environmental impact) and qualitative aspects (such as texture and color) that influence a building’s appearance, longevity, and environmental fit. Relying solely on traditional data often limits architects’ understanding, especially during early design, where material choices impact overall performance. This complexity highlights the need for an efficient recommendation system. This study proposes an innovative recommendation system that uses feature engineering to optimize material selection. By integrating materials into early design with enhanced feature engineering and a comprehensive database, this system supports diverse professional needs. A practical case demonstrates its ability to improve material selection efficiency and accuracy, making it an making it an indispensable tool for specialized users in informed decision-making.
Subjects
architectural design
cloud database
feature engineering
selected materials
sortable hashtag
Publisher
Wiley
Type
journal article

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To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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