出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Many fashion firms have enabled their business model to give extremely personalized
experiences to their customers by using advanced CAD tools like CLO 3D, MarvelousDesigner,
Browzwear, Lectra and many more for designing the garment and build a 3D avatar
for the customized garment as well as web-based services to be integrated with the web and
mobile-based applications. Due to the integration of highly advanced technologies for
designing and giving personalized experience has increased the customer's expectations. In this
paper, we have presented our initial work to build a garment fashion recommendation system
for customized garments, which can be used with mobile and web applications. The proposed
system structure is designed on the user's biometric profile and historical data of product order.
We have collected the user’s historical data from a fashion company dealing with customized
made-to-measure garments. Proposed architecture for recommendation system is based on
different data mining techniques like clustering, classification and association mining.
关键词：Recommendation System; BIRCH; Adaptive Random Forest; Incremental learning; data mining;;
Association mining
