| Summary: | 碩士 === 國立雲林科技大學 === 設計運算研究所碩士班 === 95 === The “Case Studies in Architecture” phase of a course in architectural design includes in-depth comparisons and analyses of architectural precedents. However, with the large number of cases now readily available, Web searching and navigation is a time-consuming, low precision activity. In this study, we built an adaptive recommender system to allow users to query and retrieve for architectural cases during the case study phase of an architectural design process. In our system, we use pre-define architectural thesaurus with relationship to index architectural cases. It makes query and retrieval more efficient. We applied a hybrid recommendation mechanism, which is combining both content-based filtering and collaborative filtering to help for students to find relevant cases more efficient and precise with their preferences.
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