A Virtual reality based recommender system for interior design prototype drawing retrieval

Abstract

There is a lack of interactive rapid and visual recommender systems for recommending interior design prototype drawing to the consigner. Therefore, the purpose of this study is to propose a virtual reality based recommender system as a platform to retrieve a design drawing from a historical interior design drawings database, and to recommend the retrieved drawing to the consigner as a prototype drawing. The as yet untapped recommender system consists of a virtual reality based query system, a database system and a pattern matching engine. A preliminary case study of the recommender system was made, including a front end data collecting and preprocessing phrase and a back end pattern matching and recommendation phase. The proposed recommender system has been shown to greatly help the designer in storing historical drawing items, extracting relevant design features, as well as to direct the consigner from the query system to the historical database so as to access the most matching design drawing that best suites the consigner’s interests and requirements.