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2006
Springer

eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents

9 years 2 days ago
eDAADe: An Adaptive Recommendation System for Comparison and Analysis of Architectural Precedents
We built a Web-based adaptive recommendation system for students to select and suggest architectural cases when they analyze "Case Study" work within the architectural design studio course, which includes deep comparisons and analyses for meaningful architectural precedents. We applied hybrid recommendation mechanism, which is combining both content-based filtering and collaborative filtering in our suggested model. It not only retains the advantages of a content-based and collaborative filtering approach, but also improves the disadvantages found in both. We expect that the approach would be helpful for students to find relevant precedents more efficient and more precise with their preferences.
Shu-Feng Pan, Ji-Hyun Lee
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2006
Where AH
Authors Shu-Feng Pan, Ji-Hyun Lee
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